What impact metrics show MJ as a GOAT candidate?

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DraymondGold
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#221 » by DraymondGold » Sat Feb 18, 2023 2:36 am

OhayoKD wrote:Seriously?
DraymondGold wrote:Okay well since I’m being accused of cooking up fake... AEnigma is claiming to have hand-tracked 253 LeBron games or over 200+ hours worth of footage, all on their own, without providing any proof of work

No. Enigma never claimed that. No idea if you were manipulating the data, but it does seem you're trying to manipulate English.
Enigma explicitly explained that “there are no sources”, that they did it exactly like Jordan’s process was… and is now saying they got their numbers from Statmuse. You really don’t see any logical inconsistency here?

And whether or not you intentionally **** up the math here, consistently **** up, and then doubling down when you have **** up will naturally lead to some readers thinking the **** ups might be intentional. To be clear, the reason your data is different is because you compared the outputs of one method of calculation to the outputs of a different method of calculation.
not responding to the needless swearing… Enigma and you make posts like this, and say I’m the one having a tantrum. :roll:

Regardless: to be clear, you’re the one who compared the output of different stats and said the former was incorrect.

I cited PBPStats and explained my process the whole time.

Enigma did not, actively refused to when I asked, and only came out with an explanation of their process (which concretely differs from what they originally said) after I went step by step explaining why what they originally said didn’t make sense.

You provided updated numbers, didn’t explain where they were from, didn’t explain Why on/off numbers from PBPStats or why Per 36 vs Per 100 numbers should be incorrect (and still haven’t by the way)
… but nonetheless insisted that your citationless numbers were right while my cited numbers were wrong.

Then when I press you both on this, you both freak out and resort to needless insults. I mean come on, seriously?

Heej, despite not being "a stat guy", explains the gist quite well
Heej wrote:Since this is a stats based issue I'll sit this one out tho, but at first glance this methodology doesn't really pass the smell test to me as far as any kind of concrete number you can reliably draw a conclusion from. And what exactly is the problem here. Is there a reason you can't compare players using the same numbers? Does one player only have per 36 or per 48 and the other only has per 100 stats available? Seems rather odd to me that you're bending over backwards to calculate data using a dubious methodology that has variations)
you’re welcome to check the difference… the uncertainty you get is a unit changing factor of .722 vs .718 which is less than 1% uncertainty. Absolutely not game breaking compared to the noise of playoff on off.

As for my(and presumably Enigma's) method...

1. go to Statmuse, search plus/minus. Then search point differential for the team. Subtract the plus/minus and that is your off-court impact. The plus/minus is your on.
2. Then do the same with minutes. Need to divide team minutes by five. Subtract Lebron’s minutes from the team minutes, and that is your off minute sample. On minutes is just Lebron’s minutes (duh).
3. The on is Lebron +/- divided by Lebron minutes and then times 48.
4. The off is the team differential without Lebron divided by team positional minutes without Lebron, times 48.


Aha! After multiple requests, finally a source is provided.

To be clear: Thinking Basketball’s on/off numbers for other players were gotten from PBPStats (~ The Site I Used ~). You can check the citations in the video for proof.

So Jordan’s on/off was calculated in the same way PBPStats gets on/off (just with a more accurate unit conversion from Per possession to per 48 minute)

For posterity, again...
Heej wrote:

ShaqAttac wrote:

Bad Gatorade wrote:

SideshowBob wrote:

RK wrote:

djoker wrote:

homecourtloss wrote:

Bidofo wrote:

Dray's on/off data had inaccuracies. Initial corrections are made in post #189, further corrections are made in post #191, and explanations for why the initial data was inaccurate as well as a thorough explanation of the methodology used to make corrections can be found in post #217.

Hopefully that clears things up.


Again, you blame me for posting numbers from PBPStats for on/off… when PBPStats’ method for calculating on/off is how Jordan’s numbers were calculated in the video.

Basketball Reference was used for my unit conversion (with a maximum of 1% error)…

Which is still closer to the method of calculating Jordan’s numbers than yours or Enigmas. If you are both using Statmuse, well… I would think most NBA analysts would agree PBPStats has more accurate on/ofd than StatMuse. But hey that’s just me!
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#222 » by AEnigma » Sat Feb 18, 2023 2:55 am

DraymondGold wrote:
OhayoKD wrote:Seriously?
DraymondGold wrote:Okay well since I’m being accused of cooking up fake... AEnigma is claiming to have hand-tracked 253 LeBron games or over 200+ hours worth of footage, all on their own, without providing any proof of work

No. Enigma never claimed that. No idea if you were manipulating the data, but it does seem you're trying to manipulate English.
Enigma explicitly explained that “there are no sources”, that they did it exactly like Jordan’s process was… and is now saying they got their numbers from Statmuse. You really don’t see any logical inconsistency here?

No, because me calculating it by hand is not a source. You do not need statmuse specifically; you can do the same thing more slowly on stats.nba.com.

And whether or not you intentionally **** up the math here, consistently **** up, and then doubling down when you have **** up will naturally lead to some readers thinking the **** ups might be intentional. To be clear, the reason your data is different is because you compared the outputs of one method of calculation to the outputs of a different method of calculation.
not responding to the needless swearing… Enigma and you make posts like this, and say I’m the one having a tantrum. :roll:

I am not much for swearing, but yes, when you behave like a child and start calling everyone liars when they point out your process does not match, that constitutes an internet tantrum in my eyes.

Regardless: to be clear, you’re the one who compared the output of different stats and said the former was incorrect.

I cited PBPStats and explained my process the whole time.

It was incorrect as a comparison to the process for Jordan, and people who were interested in accuracy would have seen that immediately (will come back to this).

Enigma did not,

I did and you ignored it. Or did not understand and did not care to make a sincere effort to clarify; instead you said I lifted numbers from pbpstats. :roll:

actively refused to when I asked,

Admittedly I was having fun watching the meltdown and was disinclined to spoonfeed someone whose initial response to a measured correction was to lash out.

and only came out with an explanation of their process (which concretely differs from what they originally said)

Nope.

after I went step by step explaining why what they originally said didn’t make sense.

You mean when you claimed I stole from pbpstats and did not adjust, then painfully explained why I actually did not take anything from pbpstats while claiming that I said I watched 250 Lebron games and marked down their plus/minus on a sheet of paper? Yeah man, good job being sensible.

You provided updated numbers, didn’t explain where they were from, didn’t explain Why on/off numbers from PBPStats or why Per 36 vs Per 100 numbers should be incorrect (and still haven’t by the way)
… but nonetheless insisted that your citationless numbers were right while my cited numbers were wrong.

Some common sense might have helped (covered at the end).

Then when I press you both on this, you both freak out and resort to needless insults. I mean come on, seriously?

Which “insult” exactly crossed the line for you? You do realise everyone can read you viciously calling me a liar, right. What world are you living in.

Aha! After multiple requests, finally a source is provided.

To be clear: Thinking Basketball’s on/off numbers for other players were gotten from PBPStats (~ The Site I Used ~). You can check the citations in the video for proof.

Again, you blame me for posting numbers from PBPStats for on/off… when PBPStats’ method for calculating on/off is how Jordan’s numbers were calculated in the video.

Basketball Reference was used for my unit conversion (with a maximum of 1% error)…

Which is still closer to the method of calculating Jordan’s numbers than yours or Enigmas.

Now that is interesting. Because when I am trying to replicate a point of data, my first thought is to make sure that the process… replicates the data. A novel thought I am sure to someone who has made it increasingly apparent they just wants to twist data to suit their priors regardless of logical accuracy.

Ben (approximately) gave us Lebron’s 2016-21 on/off per 48 minutes. On that graph, eyeball says it is a bit higher than 18 (you can draw a line clearly placing the dot higher). But when I do the basketball-reference method, I end up with 17.87. And then pbpstats seemingly has lower net rating assessments than basketball-reference. However, when I do the point differential method? +18.18 per 48 minutes. :-?

Is it biased toward Lebron? Well, we can do the same thing with Robinson. His point on the graph looks like 25 (or at least high 24). The bbr method gives 23.9. However, using point differentials gives +25.13. There again, much closer correspondence.

Now, it is possible those graphs are meaningless and poorly placed. Maybe the dots were thrown randomly and the scales are not correct. But if so, that probably raises some questions about all the eyeball scales you used for Jordan…

If you are both using Statmuse, well… I would think most NBA analysts would agree PBPStats has more accurate on/ofd than StatMuse. But hey that’s just me!

Oh so you still do not actually have any interest in understanding or acknowledging what is being done. Cool.
MyUniBroDavis wrote:Some people are clearly far too overreliant on data without context and look at good all in one or impact numbers and get wowed by that rather than looking at how a roster is actually built around a player
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#223 » by DraymondGold » Sat Feb 18, 2023 3:04 am

Intro
OhayoKD wrote:.
I thought now would be a good time to shift the conversation back to your post from a few pages ago.

To be clear, I have no interest in furthering this conversation with AEnigma (who’s resorted to insults like always :noway: ) or you if you continue with the needless attacks and swears. Let’s act like adults, or not at all.

But since there’s so many accusations of dishonesty and bias, I thought it would be a nice exercise to go through a full overview of this conversation (using your questions from a few pages ago as an outline).

If anyone else would like to join in with stats they trust more or less or why, by all means join in! The water’s less fine than it was, but I promise I myself won’t bite :D

Is your position that every stat that disagrees with your priors isn't valuable? All metrics produce wonky results. The idea is to assess the strengths and weaknesses of each metric, see how they are corroborated or contradicted by other evidence, and then apply/weigh things accordingly.


Part 1: My general philosophy

Well, we’ve reached the point of the debate where we’re debating Raw Plus Minus vs Adjusted Plus Minus :lol: It was bound to happen at some point.

“is your position that every stat that disagrees with your priors isn’t valuable”?

No, not at all. I don’t just ignore the data we have here.
My general philosophy is to 1) use all available statistical information when possible, 2) consider the uncertainties and biases of each stat, 3) more heavily weigh the stats that we have more confidence in (either because they are less noisy, measure the signal we’re actually interested in better — i.e. the player’s contribution to winning).

In this specific thread, my philosophy (Which I’ve been stating since the beginning) is to just answer the original question:
Q — Are there impact metrics that portray Jordan as GOAT level?
A — Yes. If GOAT level is Top 4 and/or equal-to/greater-than Russell/Kareem/LeBron, than the vast majority of the impact metrics we have portray Jordan as GOAT level.

On/off accounts for defensive value, draws directly from winning/reality, and doesn't artificially suppress outliers. If primary paint protectors generally look better relative to Jordan in on/off than they do in box-stuff, then there's a good chance the box-stuff is underrating them.


Part 2: Responding to: Why do I rate raw on/off so low?

If LeBron is better than Jordan in raw on/off (which he may not) and raw WOWY (which he does), why don’t we just say “that’s a wrap, Jordan’s sub-GOAT tier” and end the debate?? Well, as I’ve said throughout, there’s reasons to doubt raw un-adjusted impact data. In fact, if we want to minimize noise, minimize systemic bias, and maximize the actual measurement of the players value… our assumption going in should be to *prefer adjusted impact stats*.

The analytical world universally prefers adjusted plus minus to raw plus minus. Straight up. There’s a litany of literature from real NBA analysts that prefer RAPM or APM to raw plus minus. I found these from a quick Google search:
Ranking of Impact Metrics: https://www.cryptbeam.com/2021/05/21/the-10-best-nba-impact-metrics/, Survey of Best Impact Metrics: https://hoopshype.com/lists/advanced-stats-nba-real-plus-minus-rapm-win-shares-analytics/, Study on Accuracy of Best Advanced Stats: https://fansided.com/2019/01/08/nylon-calculus-best-advanced-stat/, Introduction to advanced stats: https://www.cryptbeam.com/2020/07/31/introduction-to-composite-metrics-in-the-nba/, Review of Advanced Stats: https://www.cryptbeam.com/2020/11/11/advanced-statistics-and-plus-minus-data/, Introduction to RAPM: https://www.tothemean.com/2019/04/27/ncaa-rapm.html, Review of RAPM: http://godismyjudgeok.com/DStats/2011/nba-stats/a-review-of-adjusted-plusminus-and-stabilization/, Deep Dive into RAPM: https://squared2020.com/2017/09/18/deep-dive-on-regularized-adjusted-plus-minus-i-introductory-example/, Basics of RAPM: https://basketballstat.home.blog/2019/08/14/regularized-adjusted-plus-minus-rapm/, Problems with Raw Plus Minus: https://celticswire.usatoday.com/2017/12/07/on-boston-celtics-gm-danny-ainge-calling-plus-minus-a-worthless-stat/, Thinking Basketballs Introduction to Plus Minus: ,

Every single one of them supports using adjusted plus minus over raw plus minus or on/off. There’s no selection bias in the articles I chose, there’s no hidden articles — I just googled for the best impact stats, and every one of them preferred adjusted stats. Every survey linked all universally have adjusted-plus-minus-based stats in the Top 10 Available advanced stats. Raw on/off doesn’t even sniff the top ten.

I dare any of you to find one NBA analyst, just one, that prefers raw on/off to adjusted plus minus. I’ve literally never seen it in my life.

Yes, raw on/off does contain some real defensive value signal. But raw on/off is basically the single noisiest stat in the entirety of basketball. It has universally-accepted systemic biases that limit its accuracy. Why should we use it as a definitive ranking? The only reason Thinking Basketball used it in his video is that he didn’t have enough data for the other players to calculate APM and RAPM.

I accept that LeBron has a better on/off in certain samples. However, until I can get a concrete explanation for why I should trust Statsmuse > PBPStats (since PBPStats is pretty universally more trusted), I’m going to follow the stats on PBPstats, which make Jordan look better (at least in most in-a-row samples).

Regardless of who looks slightly better in on/off, if Jordan looks comparable or even better in adjusted impact metrics (which he does—see below), then that should be a point towards him being in the same tier as LeBron. Which is GOAT level.

I realize it can be frustrating when the player you thought was the best, doesn't really look like the best, but as we've covered, there is a mountain corroborating Lebron's on/off advantage. Dismissing it entirely seems more like an emotional decision than a rational one.


Part 3: I’m being Accused of Emotional Biases
Every person has biases. That’s a psychological fact! I’d be a fool if I didn’t believe I had biases. And so would everyone else!

But I think it’s important to be clear here: if I saw the stats switched and saw people making this argument in favor of Jordan over LeBron, I’d be arguing in the exact same way.

The stats I trust more are based on the consensus of NBA analysts and based on my understanding of the pros and cons of each statistic. I weigh larger samples more than smaller samples, particularly impact stats, because small samples have Noise that distorts the signal. I weight raw, unadjusted impact metrics less than adjusted impact metrics for the same reason every other NBA analyst does (see links above): the unadjusted raw stats have systematic biases that the adjusted stats don’t.

You suggested that I’m outright throwing away evidence to the contrary — I certainly don’t mean to (more on that below), but if there’s any stats missing from my list below, don’t hesitate to let me know!

Ironically, from my perspective, you’ve actually been the one to outright ignore evidence. A few examples come to mind:
1) Denying Jordan’s AuPM uses real Plus Minus Data: The first one’s quick! I posted the AuPM (which has peak Jordan > LeBron) is based on real plus minus data. You disagreed. I replied that it is and gave citations. And to your credit, you changed your mind here! That shows an open mindedness that’s sometimes hard to come by :) [post 3, 7, 22, 28, 34]

2) Denying WOWY is a raw impact stat and WOWYR is an adjusted impact stat:
I claimed that WOWY is unadjusted like raw plus minus while WOWYR is adjusted like APM/RAPM. [post 3]. You said you can’t adjust WOWY like APM to create adjust WOWYR, and that saying otherwise is “just malpractice with WOWYR” (post 7).
I reiterated that WOWYR is adjusted and WOWY isn’t adjusted, with a citation to prove it (though I did post the wrong link!), and added further explanation for why most people prefer adjusted impact stats (post 22, 28). You again denied this without giving a source: “…uh, no” (post 34). I reiterated that I was right *by citing the official first publication* on WOWYR, which *explicitly states* that going from WOWY to WOWYR is like going from raw plus minus to APM (post 44, 56).
You replied with a false claims that “this ’10 year adjustment’ is mostly based on Pippen's exploits as a second-year player” which is demonstrably not true (young Pippen only accounts for 6% of the teammates’ off sample, nearly 0% of the teammate’s on-sample, and 0% of the adjustment for opponents) (post 48). Then furthered this claim by saying “the ‘metaphor’ [that WOWYR ~ APM] doesn’t work” (post 57).
I then reiterated that the very founder of WOWYR explicitly states it’s like Adjusted Plus Minus and provided an explanation for why the metaphor makes sense (post 59).

It’s no problem to disagree in your first post at the start of the thread! But after I cited that the *official WOWYR publication* agrees with me that WOWYR adjusts raw WOWY APM adjusts raw plus minus, maybe there shouldn’t be 2-3 more posts denying the fact that this is true?

3) Denying that 10-year adjusted WOWYR has Jordan > Russell:
I stated that 10-year adjusted WOWYR has Jordan over Russell (post 3). You said this wasn’t true (post 7). I reiterated that WOWYR does indeed have Jordan over Russell (post 22). We repeated this process (you said not true in post 34, I replied it was, you said it wasn’t in the other thread). I replied with links *to the official 10 year adjusted WOWYR database* which showed that Jordan is over Russell, and provided supplemental links that reference the database which agree that 10 year WOWYR has Jordan > Russell (post 56). Despite the official source siding with me, you reiterated “it does not” (post 57). I then reiterated that the official WOWYR source has Jordan 4th all time and Russell 30th all time with citations (post 59)

4) Denying 10-year adjusted WOWYR has a significant off-sample and a larger overall sample than individual raw WOWY stints:

You claimed 10-year WOWYR has a smaller sample than WOWY, characterized it has the “tiniest possible samples” and said it’s only based on “4 games per season” (post 7). I pushed back saying that sample size is based on total on/off games rather than per-season off games and explained why (post 22, 28). You said 10 year WOWYR’s sample is smaller than single year raw WOWY because WOWYR’s off-sample size is based on the per-season sample (post 34 and 36). I corrected this, explaining how the sample size in the adjustment works while providing citations to respected sources (post 44). You reiterated that WOWYR sample size is based on per-season number of games… which is incorrect, per the previous citation I provided (post 48). I again corrected this, manually counting out the off games (post 56). Here, I made a mistake too! I misunderstood that you were also taking the average across each raw WOWY sample, rather than just looking at each raw WOWY sample individually.

To your credit, you corrected my mistake and accepted that the adjusted 10-year WOWYR sample is based on more than a handful of games per season. But! You also incorrectly reiterated that the raw WOWY sample had more overall games, both on and off (post 57). Which I then tried to correct for a third time, manually counting out every game in both samples (post 59).

5) on/off;
This one doesn’t need much explanation. I cite my on/off numbers *using the same source and method Thinking Basketball used to calculate on/off the Jordan video*, only with a 1% uncertainty based on not having every single decimal of the Per 100 Possession to Per 48 Minute unit conversion.
Enigma posts numbers, refuses to provide a citation but insists that my PBPStats are wrong. Meanwhile you do the same.
And when I push back (and confirm that my method is valid)… Enigma resorts to a full tantrum and you start swearing left and right…. While continually insisting that one of the most trusted on/off sources is wrong without really explaining why. Yikes.

…..

Overall summary Discussing Emotional Bias: To be fair, it’s not just you. Plenty of other LeBron>Jordan supporters have made similar verifiably-incorrect arguments to the one you made above (including others in this thread). Another example is that others argued I over-fixate on team results after just a single post on team results, while ignoring the fact that I had made 10 posts prior that primarily focused on individual results.

However…. you accuse me of being emotionally biased for throwing out “every stat that disagrees with my priors”, simply because I say that I trust adjusted impact metrics more than raw impact metrics.... a claim is supported by the multitude of NBA analysts who agree with me above (more on this below!).

Meanwhile, you 2) insisted incorrectly that WOWY isn’t a raw impact stat and that WOWYR is not adjusted 3 times, 3) insisted incorrectly that Jordan isn’t above Russell in WOWYR 4 times, 4a) insisted incorrectly that 10-year WOWYR is based on a handful of off-games per season 4 times, 4b) insisted incorrectly that 10-year WOWYR is based on a smaller overall number of games 5 times
and continued to insist on many of these points, even after I provided citations to the official sources that explicitly agreed with me over you.

I dislike accusing other people of emotional bias when I disagree with them. I try my best not to (and maybe I don’t always succeed!). But if I’m being accused of outright throwing away or ignoring official cited evidence just because they “disagree with my priors”… well then your posts listed in point #1, #2, #3, and #4 above all sound a lot like throwing away evidence in the face of irrefutable citations simply because they disagree with your priors.

Literally *all* I’ve ever argued in this thread is that “A statistical case can be made for Jordan being GOAT level”. I’ve never said you have to have him as your GOAT, I’ve never said every stat prefers him to LeBron, I’ve never even said I personally have him as my GOAT-career player (because I don’t!!)…

All I’ve ever said is that there’s a reasonable amount of actual impact metrics that support Jordan being GOAT tier in peak or prime. That’s about as soft of a pro-Jordan argument as you’re ever going to get. Every statistical claim I’ve made has been based on citations, which I’ve provided. Yet at each step I’ve been refuted with a variety of demonstrably false claims, which are again refutable with citations to official sources. And yet somehow I’m the one being accused of bias…. I’m just have trouble reconciling this….

My apologies for being so exacting. I’ve probably been too passive aggressive. But I do get a little defensive when someone accuses me of emotional bias for throwing away evidence or denying the truth… when from my perspective they’ve been doing that exact thing numerous times throughout this thread.

Anyway, hopefully we can put the unpleasantness of bias-accusations behind us. We’ve had a very productive thread otherwise! Well, st least until recently. And I’ve certainly learned from many of your posts, so it would be a shame to end it on this sour note. So let me get back on topic one last time by doing a high-level examination all the “true” impact metrics we have, with explanations for which I trust more and why:
(See next post)
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#224 » by DraymondGold » Sat Feb 18, 2023 3:04 am

Part 4: Summary of all Available Impact Stats for Jordan vs LeBron

Here’s every actual impact stat we have

-raw WOWY, best individual samples: favors LeBron [source: your posts in this thread, https://thinkingbasketball.net/metrics/wowy-data/, Backpicks Top 40 Articles]
-raw WOWY, 10-year samples: favors LeBron [link: Backpicks Top 40 Articles]
-Adjusted WOWYR, 10-year samples: favors Jordan [source: https://thinkingbasketball.net/metrics/wowyr/, Backpicks Top 40 Articles]
-Adjusted GPM, 10-year samples: favors Jordan [source: https://thinkingbasketball.net/metrics/wowyr/]

-RAPM, best individual samples: favors LeBron [source: Squared2020, Goldstein]
-RAPM, equivalent multi-year samples: favors Jordan [source: Squared2020, Goldstein, my post #59 Part 2 of this thread]

-Playoff raw on/off, best individual samples: favors Jordan [source: https://youtu.be/RqGDLV-do9c, PBP Stats, my post in this thread]
-Playoff raw on/off, longer samples: no one can agree. Depends on the year sample size. But using the same method that Thinking Basketball used to calculate Jordan’s on/off (which is used by PBPStats) favors Jordan in long samples. The stats on Statmuse apparently favor LeBron.
-Playoff Augmented Plus Minus: favors Jordan

So… in the actual impact-based stats we have, Jordan’s up 5-3 (with long-sample on/off being the final stat that I didn’t count, since nobody can agree on it… add 1 point to LeBron if you think it favors him). In raw impact stats, LeBron is up 2-1; in adjusted impact metrics, Jordan’s up 4-1. For smaller peak samples, they’re tied 2-2; for longer prime samples, Jordan’s up 3-1. Add 1 point to each of LeBron’s raw/long-sample columns if you think on/off clearly favors him, despite what PBPStats says. Where is the “mountain of evidence” that clearly favors LeBron?

Stats I trust more: me personally, I tend to trust the impact stats that
1) are adjusted rather than raw, so that the stats have fewer systemic biases, and
2) have large enough samples possible to not just be noise (when possible… when not possible, I prefer to apply some sort of noise correction if we can determine whether the noise is inflating or suppressing the value)

I have these preferences based on my current understanding of the stats (which could always be incomplete/incorrect!) and based on the recommendations of the vast majority of NBA analysts (see link above). For example, if the vast majority of NBA analysts say raw on/off is hyper-noisy or if they say Adjusted impact metrics have fewer systemic biases than raw impact metrics (which they do!), then I tend to trust them.

So which stats do I trust more? I tend to trust RAPM and Augmented Plus Minus over raw on off (for Reason 1 and 2). Prime on/off samples may favor LeBron (or Jordan if you use PBP stats), while peak on/off samples favor Jordan — but again I put less weight on this stat. RAPM is measurably susceptible to noise in small samples… so if there’s a sign that a small sample of RAPM is lower of him than the known larger sample performance (which there is! See post #59), then it doesn’t seem unreasonable to curve the noisy sample up.

Likewise, I tend to trust 10 Year Adjusted WOWYR more than single-sample non-peak raw WOWY (again for Reasons 1 and 2).

Do I totally ignore the stats I trust less? No, absolutely not. The on/off can function as an order-of-magnitude when better stats like RAPM or AuPM aren’t available. So if a players within uncertainty range of being a GOAT-tier playoff performer (which Jordan is!), that’s a point in their favor. Likewise, if a player is a clear GOAT tier performer in single-sample raw WOWY (like LeBron!), that’s also a point in their favor… even if I don’t weigh these stats as heavily as adjusted ones.

And just to reiterate, the other non-impact stats we have are highly favorable for Jordan being in the GOAT tier. If we include box-approximations of impact metrics, these favor Jordan > LeBron [source: my Post #3 in this thread]. They’re imperfect, they may overrate his defense because of his steals, but they may also underrate his offense (since the value of his steals may come from the resulting fast-break offense), but regardless they’re the best estimations we have for some of the missing stats like PIPM/RAPTOR. If we include the best pure box stats we have (BPM), these too favor Jordan. If we include the worse box stats we have, these too favor Jordan [source: Post #3 in this thread]. If we look at overall team dominance, these too can be argued to favor Jordan (see post #159), though there are offense-only team performance arguments for LeBron (see falc’s posts in this thread).

Now I’m not trying to say you need to value the exact same stats I do. I never have been. But this idea that there’s a “mountain of evidence” for LeBron and basically no evidence for Jordan just doesn’t stand up to scrutiny. There’s a reasonable amount of evidence to put Jordan in the GOAT tier, even if you’re personally lower on him or higher on Russell or LeBron.

….

Anyway, with that, unless y’all gettin civil and mature again, I’m out. Peace!
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#225 » by OhayoKD » Sat Feb 18, 2023 2:32 pm

Prologue: Dray the Adult

You:
Possibility 4: Enigma just lied.

You, actually lying:
Takeaway: I’m not to here to accuse another poster of outright trying. But Heej, if you’re going to accuse some poster of making up false numbers, you think it would be the one who claimed they manually tracked 253 LeBron games on their own and are refusing to show work

:-?

A. Link me Dray

You
DraymondGold wrote:Re: Ben doesn't explicitly tell us what years he includes... yes he does! Pleases refer to the database links I cited in the previous comment :lol:

You, a sentence later
Re: does he include 154 off sample in WOWYR, that's a good question. I believe the rules he set are to consider off samples as games that a player misses for the teams they're on. For WOWYR, he doesn't use trades/moves to help buff up the off sample (though I wish he would, just to see how the scores differ). Jordan was on the team and playing in 95, so he's guaranteed to use the off sample in 95. Jordan was also still on the payroll and technically on the team in 94, so that's why I believe he used the 94 season as an off-sample (compared to someone like Russell in 1970 Celtics, who was no longer on the Celtics' payroll).

Having actually read the articles you linked, I will inform you that Ben mentions he decides "prime" or "non-prime" based on how many minutes are played and it is not made explicit whether he averages MPG based on how much is played during a season or during the specific games in a season a player plays. Since bball reference uses the latter I'll be nice and say 1995 is included. I see no reason to assume that for 1994, leaving us with an off sample of 72(over 10 years!). :(

For the sake of discussion, I'll add 1994 back, but not knowing the size of your sample is a problem when discussing...the size of your sample.

B. What Does Ben Say?

Since you don't actually have a consensus to appeal to(this is why we're pretending "game-level" works the same as "lineup-level"), we've gone to "Ben is highlighting worse data for the audience"
That he cites the individual samples of raw WOWY in his articles may just be a function of simplicity and communicability... it's quicker to explain a single sample of raw WOWY than it is for him to explain individual samples of raw WOWY -> full prime raw WOWY -> adjusted WOWYR, especially for an audience unfamiliar with his work.

Thing is, this "worse data" directly informs Ben's conclusions:
His on-ball approach is heavier on scoring than pass-first wizards like Steve Nash and Magic Johnson, but volume passing and volume scoring won’t maximize most top-end talent. Instead, James is the greatest floor-raiser in NBA history, able to do more with spare parts than anyone ever by simultaneously bolstering an offense while upgrading the defense.

Ben critiques Lebron with concerns about fit, film analysis, and concentrated data from Miami. His "10-year WOWYR" is never mentioned.

Ben is actually pretty explicit with what he thinks of 10-year or "prime" averages in his Russell write-up:
Boston was a 35-win team (-1.9 SRS) in 28 games he missed from 1958-69, and for the other 915 games of his career they played at a 59-win pace (6.4 SRS). This is a tiny piece of evidence – the years are spread out, teams change, and so on — but it echoes the same story as Russell’s other value signals.

It is a supplement which can help "echo" other more substantial signals. You might also notice that Ben brings up WOWY, not the WOWYR(which suggests Russell won most of his rings with 40-win help). Luckily, Ben offers a potential explanation.
In order to accurately solve for “what’s the most likely impact for Larry Bird on all of his lineups?” we need to know about the value of his teammates, like Reggie Lewis. And since Lewis only played a few years, his estimate is a bit fuzzy, and that in turn effects Bird’s estimate

The regression can distort a player's data instead of correcting it. But the real kicker comes next
Second, like any RAPM study that’s too long, it smoothes over differences between peak years, ignoring aging and injury. There are some ways around this — one of which is to use smaller time periods

Peep that last line. :o

Amazing what happens when we actually read :lol:

C. Math

But for the record, 666 + 154 games > the sample you're dealing with. Your on sample consists of 82 games in 85 (to compare to when he was out in 84), 18 games in 86 (to compare to when he was out in 86), 82 games in 88 (to look at Jordan pre-Pippen), 78 games in 93 (to compare to when he was out in 94), and 17 games in 95 (to compare to when he was out in 95).

My on sample is as big as your on sample. The Bulls year to year SRS, full strength SRS, and playoff SRS are not obscure mysteries. Everyone here can look at the on, derive various "offs" and adjust for whatever context they deem fit. The only difference in sample size is the "off". And since I'm not tossing out indirect data, my sample is bigger. Since I'm deriving "off" from seasons where there was an abundance of it, my per-season sample is vastly bigger.

This also doesn't touch on the likes of Lebron and Russell having plenty of available "off" that is entirely excluded from WOWYR. So again. Math. My sample is bigger. Your sample is smaller. Saying you're wrong isn't banter, it's a statement of fact.

D. Adjusting the Void

I think it's time...
Meanwhile, the adjusted WOWYR sample includes both that data for the on sample as well as teammate WOWY data from that time period to better pin down Jordan's value.

...to call a CEO:
ceoofkobefans wrote:Not responding to the other things atm but while yes WOWYR and GPM Tries to adjust for other teammates missing iirc the bulk of the calculation is based on that players WOWY sample so still the WOWY sample being small still matters (there’s a reason why John Stockton is 2nd all time in WOWYR and it’s not because he has a goat argument)

Adjusting a sample doesn't magically enlargen that sample. It corrects or distorts it. For, example: Pippen. GPM takes 1989-98, WOWYR takes his prime as 1989-01, but true star Pippen’s range is 1991-97, so if you dilute those values right as the Bulls’ SRS exploded, it can start misattributing a lot of value back to Jordan.
But second off, again your sample ignores almost all of Jordan's best years.

It ignores worse-looking data and then ignores Jordan's best teammate to pretend Jordan was the only reason the 1988 Bulls were 8 points better than the 1984 Bulls. We can make extrapolations for all those other years but as we've covered, all that would do is hurt Jordan. I am ignoring the other years as a kindness. I'm also not sure you know what "dilute" means. "Dilute" describes when something is spread thin. Cutting out smaller samples when I make an appraisal for 1988 concentrates. In case you're wondering, "concentrate" is the polar opposite of "dilute".

E. Reading...and Bullsh--t

This section was not originally planned, but er...it feels like a public service at this point
insisted incorrectly that Jordan isn’t above Russell in WOWYR 4 times

Here is what I insisted(and you repeatedly ignored):
And for all that, if we account for certain eras requiring lower SRS for high championship probability...
At the height of their dynasty, the Celtics were comically dominant. From 1962-65, their average margin-of-victory (MOV) was over 8 points per game. During the same time span, only two other teams even eclipsed 4 points per game – the ’64 Royals and the ’64 Warriors. And all of Boston’s separation was created by its historic defense, anchored by Russell:

...Jordan is still well behind Russell(and by extension Wilt):
Notably, if we take WOWYR seriously, Bill Russell led the greatest team ever with 35 win help throughout his prime while Jordan barely won half as much with 40-50 win help. While Jordan looks marginally better than Lebron, he's not really within range of GOAThood.Correction: Using prime WOWYR, which ben decides is less useful than prime WOWY in his Bill write-up, Russell merely won 11 rings with 40-win help

If your entire point is to say which number is higher, yes, Jordan's number is higher. But that only gets MJ to 4th. He's 6th if we value championships over raw-win totals. And potentially 7th if we use corrected Kareem data:
70sFan wrote:About WOWY - Jordan's biggest samples don't show him as the better one than Kareem (from Ben's database):
...
I'm afraid Ben's database has an error with 1978 sample, as it shows as clear negative for Kareem, despite all the calculations I made and his own words in Kareem profile:
...
Which shows a +5.8 SRS change again. The biggest samples we have show Kareem having a clear advantage.

Using "prime" or "10-year" WOWYR, 4-7 is your range. Great if your bar is "elite", but if your bar is Lebron...
but he considers both raw WOWY and adjusted WOWY can be used as evidence for Jordan having the GOAT prime/peak 8-)

I shouldn't be surprised at this point, but no. Ben never said anything about WOWY, Adjusted WOWY or Impact being evidence that Jordan was the greatest. He simply said his non-box and box was Goat-Worthy, never specifically outlining how many players would be included in that tier("top 4" comes from absolutely nowhere). More importantly, all Ben actually claimed with Jordan's WOWYR(featured in one sentence), was that it potrays him as "one of the most valuable players ever". A take no one in this thread has disputed. Jordan does great by the standard of "elite"(Colts). He does badly by the standard of Lebron:
Lebron James who pretty much reaches the standard of "absolute-consensus #1 player across all impact metrics" for the data-ball era. Most RAPM-Data sets have Lebron miles ahead of anyone post-1997. Using Ben Taylor's own 5-year RAPM, the gap between Lebron and 2nd place KG is as big as the gap between KG and 7th place Steve Nash. Looking at his prime as a whole...
2018 is the 25th season of league-wide plus-minus data, which covers nearly 40 percent of the shot-clock era and touches 12 of the top-20 players on this list. None have achieved LeBron’s heights: He holds four of the top-five scaled APM seasons on record, and six of the top eight. Since 2007, 10 of his 11 years land in the 99th percentile.

This is also an especially weird point to make in a comparison with Lebron James who pretty much reaches the standard of "absolute-consensus #1 player across all impact metrics" for the data-ball era.

near-universally favor Lebron in the majority of comparative frames

Lebron dominates PIPM, has a WOWY/WOWYR profile only really rivalled by Kareem, Russell and Wilt(more on that later), looks the best in most AUPM comparisons, looks the best in Circle's "playoff on/off" sample(role player Robinson notwithstanding). and is 1 or 2(depending on comparative frame) in pretty much every box-metric(becoming a clear 1 if you so much as hedge between defensive impact and defensive box-score).

For those reading, this is one of countless arguments Dray entirely ignored while repeating points/claims these arguments directly addressed. Example:
I posted the AuPM (which has peak Jordan > LeBron) is based on real plus minus data.

See that "majority of comparative frames"? My argument was never that it was impossible to find a specific comparison where Jordan comes out ahead. It was that these metrics all generally favored Lebron. Lebron has the best individual years in all of these adjusted metrics including AUPM. He also has a higher average over a majority of time-frames. You chose one specific frame where AUPM favors Jordan. Considering what I'm actually arguing(and have reiterated numerous times to no avail), that Jordan's "3-year AUPM" comes out a bit ahead of Lebron(while still not ranking #1) does not suffice as a rebuttal.

But it's with this next misreading we get to the heart of the matter:
However…. you accuse me of being emotionally biased for throwing out “every stat that disagrees with my priors”, simply because I say that I trust adjusted impact metrics more than raw impact metrics.... a claim is supported by the multitude of NBA analysts who agree with me above (more on this below!).

No, I accused you of being emotionally biased because you applied an argument that could be made against every metric mentioned(adjusted or otherwise), to one that preferred Lebron:
Is your position that every stat that disagrees with your priors isn't valuable? All metrics produce wonky results.

You cherrypicked a bunch of outputs you found questionable, something that I could do to every statistic mentioned on this thread. You then proceeded to throw out data, so that the other "better' stats which also generally favor Lebron would look good for MJ
The years which "murk" would be 2009, 2010, 2011, 2012, 2015 and 2016. As in, they are all higher than any Jordan RAPM score. Both averages dray uses exclude 3 of those scores.

Without this bit of cherrypicking:
2009-2017 Lebron scores an average of +8.15. 2009-2013 Lebron scores an average of +8.6. The very best single-year score available for Jordan has him at +7.47.

Lebron's average RAPM(including a plethora of pre and post-prime years) is higher. Lebron's prime RAPM(1-year, 2-year, 3-year, 4-year, 5-year...8-year) is much higher, and most damningly, I can cherrypick Jordan's very best regular season(at least per rapm), and it would not match any of these averages.(well okay, it would probably match the career one :lol: )

This was actually explained in a post you directly quoted:
1. Lebron is, generally, playing significantly more minutes and games over the stretches we're comparing. Averages tend to go down, the longer someone plays.
2. Lebron generally staggered more with his co-stars than Jordan did. Typically this would depress a player's on/off. All things considered, "team context" probably juices Jordan, not Lebron.

Maybe #2 is why lineup-adjustment puts Lebron's 8-year average higher than the very best 1-year signal we have for Mike. Truly inconsistent.

This is off course, not the first time in this thread, you've tossed out data to make a stat that predominantly favors Lebron...
But he doesn't. You specifically chose a favorable frame of comparison for Jordan(3-years consecutive), and Lebron has, not one, but two better stretches when we utilize that frame. Going off the data RK listed, Lebron has the 2 highest scoring years(with 2009 being far ahead of anything else), and 5 of the best scoring 7. I could literally chuck the best scoring year by far, and Lebron would still look better. Jordan does not look comparable, and he does not rank 3rd-all time, he ranks 3rd among the players we actually have data for. PIPM dates back to 1977. That leaves at least 2 players with consistently better impact indicators completely out of the room.

...look "arguable" for Jordan:
3rd all time.* Jordan's ahead of Miami LeBron, which is usually considered LeBron's peak (although LeBron has other samples that creep ahead).

And that if Jordan looks comparable to LeBron

And it seems even the "not-stat" guys are noticing:
ShaqAttac wrote:rapm, pippm, onoff, all that wowwy **** or whatver clearly favors bron. aupm favors bron mostly. if u gotta ignore a guy's best scores to make your arg, you prob dont have an arg.

Heej wrote:Still tho, don't think Jordan had that in him to really be able to orchestrate on both ends of the floor; and that's partly why he needed Pippen and Phil more than people like to admit. Also seems to contribute to why a lot of these impact numbers need to be heavily massaged in order to prop Jordan up vs LeBron lol

Some of these DraymondGold posts are starting to give off some serious "I cooka da Pasta (data)" vibes and we need to start a dialogue

See Dray, this might work with people less familiar with these types of numbers, but the PC Board is littered with posters with at least some statistical literacy. This means that when you try and bulls--t this blatantly, some of us might notice.

Worth noting, that a major source of the inaccuracy with your on/off data wasn't your method of calculation. Rather it was you tossing out 1995 thereby inflating Jordan's averages. You say you weigh on/off less, but that didn't stop you from "cooking". Fortunately not one, not two, not three, not four, but five different posters immediately noticed something was amiss. And the worst part is, instead of acknowledging you messed up, you implied the one guy who didn't assume it was intentional was lying...by lying yourself to make them look bad. I used "f---ed" instead of "messed" because to my ear it sonically flows better. If that was perceived as a tantrum, that's on me, but you're really in no position to give a lecture on civility.

For posterity, i will offer a more "honest" empirical breakdown of the various metrics in question employing the frames Bidofo and Draymond were using with on/off("consecutive average" and "average the best years"). I will note exceptions where they are present(some of that is guess-work so please check and correct), but I am going by the standard of "most comparative frames"

JORDAN VS LEBRON IMPACT BREAKDOWN

WOWY/Indirect/Raw(there are various degrees of adjustment to some of these samples but they do not use "10 years" of data like WOWYR) - Best Years - Lebron(Big Gap) MJ looks fringe top-10
WOWY/Indirect/Raw - Averages - Lebron(Big Gap) MJ looks solidly top-10

10-year/prime WOWYR/GPM/ALT- Averages(there is no "best year") - Jordan(Marginal Gap) MJ's range is 4-7 depending on if you use raw wins or championships/relative SRS as your onException: Lebron has a decent advantage in ALT-scaled WOWYR

PIPM - Average - Lebron(big gap) - Jordan is 2nd-4th(no data pre-1977)
PIPM - Best Years - Lebron(bigger gap) - Jordan is 2(no data pre-1977)

AUPM - Average - Lebron Exception: Jordan has slight edge in 3-year(4 year?), MJ comes 2nd(Duncan has better 1-3 but Jordan advantage otherwise, no data pre-1997 except for MJ)
AUPM - Best Years[/b] - Lebron(big gap) - Jordan comes 3rd(no data pre-1997 except for MJ)

RAPM - Average - Lebron(Big gap) - Jordan looks somewhere between 2-5, is 8th overall(different creators/scales, partial data, ect make things really tricky, no data-pre 1997 except for MJ)
RAPM - Best Years - Lebron(Big Gap) - Ditto with above

ON/OFF PLAYOFFS - Average - Lebron(Big Gap) - Exceptions: 1-year tied, 8-year tied, 2-year and 3-year favor MJ - MJ ranks? No **** clue. Duncan, KG, Shaq, Curry are probably the candidates. I am not hand-calcing all that :lol:
ON/OFF PLAYOFFS - Best Years -Lebron(Gigantic Gap) - Exceptions: 1-year tied, ditto for his overall rank

ON/OFF REGULAR SEASON - Best Years and Average - Lebron(Big Gap), since only 97 and 98 are the only mj regular seasons, i'm specifically comparing it to non-peak lebron seasons here. TLDR: 97 is worse than seventeen of Lebron's 20 rs scores, 98 is worse than eighteen. Not exactly "peak", but it is a clobbering when we compare 97-98 MJ to low-end Bron stuff - MJ ranks at? No **** clue

BONUS: NON IMPACT
Summary: RS leans MJ, Postseason favors lebron. The margin in the playoffs varies depending on how much you lean towards "best years" and how much you lean towards "consecutive".

CONCLUSION
Excluding the bonus we get 1 type of signal favoring Jordan(over Lebron) that places him somewhere between 4 and 7. That signal happens to have the smallest possible "off sample"(per season for Jordan though it's also tiny overall for Russell/Lebron, and currently not accurate for Kareem. Keep in mind it's also miniscule for Jordan unless Dray's assumptions regarding the sample, which he's admitted he isn't sure of, are correct).

Overall Lebron has a 5-1 advantage. 3-0 with Line-up adjustment, 2-1 with no Lineup adjustment. In terms of impact(or at least the metrics me and dray agreed to consider "impact" for this discussion), Jordan has nothing that generally puts him #1. It is possible there is a specific type of comparative frame he scores the best(i am too lazy to hand-track more on/off for other players and maybe 4-year AUPM does the trick), but, I always caveated my initial answer("no") with "most comparative frames" and "generally". Dray just completely ignored that distinction, but whatever.
Heej wrote:Some of these DraymondGold posts are starting to give off some serious "I cooka da Pasta (data)" vibes and we need to start a dialogue

Looking forward to the WOWYR breakdown tho

Dialogue started. WOWYR brokendown. Now I go...
:sleep2:
its my last message in this thread, but I just admit, that all the people, casual and analytical minds, more or less have consencus who has the weight of a rubberized duck. And its not JaivLLLL
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#226 » by Jaivl » Sat Feb 18, 2023 3:18 pm

A regression is only as good as its data inputs.

WOWYR regresses RAPM using score differential by game, which is... at least 200 times worse than per-possession data in terms of granularity? (much worse than that actually)

It's an extremely ambitious and fun concept but its value is very limited, as shown by Ben himself... well, not really using it that much. I would just not use WOWYR unless it's for extremely rough classifications (i.e. "good" vs "bad").

EDIT: corrected by quarter -> by game
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#227 » by WillyJakkz » Sat Feb 18, 2023 4:28 pm

DraymondGold wrote:
ceiling raiser wrote:Do any?
Ha, love the "Do any?" post... simple and straight to the point. :lol: Anyway, to answer your question:

....

There's definitely impact metrics that show MJ is a GOAT candidate. But before we begin, I think it's worth defining two terms....

(1) What do you mean by impact metrics? If by impact metrics you mean "only actual plus minus data", then our arguments for Jordan will be limited by the obvious fact that Jordan came before the plus-minus era. By that line of thinking, Kareem, Russell, Wilt, Bird, Magic, and the rest all don't have an impact-metric-driven GOAT case, since they too came before the plus minus era. To be clear, we do have partial plus-minus data for Jordan, which I'll get to in a bit. But not complete plus minus data. Me personally, I don't like the idea of discounting players' GOAT cases simply because they played before 1997. But in order for that to happen, in order to make a statistical GOAT case for pre-1997 players, we have to be more flexible with the stats we use (i.e. including box-stats) and accept that the plus minus data we do have comes with smaller samples and thus more uncertainty.

(2) And what do you mean by GOAT candidate? You might mean GOAT peak, GOAT prime, or GOAT career. People typically use stats to argue the first two (GOAT peak or GOAT prime), as this avoids the question of how to integrate value over time. And MJ absolutely has GOAT-tier peak or prime stats. If you mean GOAT career, well, very few people argue GOAT candidacy using stats that actually span players' full careers. For example, people rarely count up "career cumulative RAPM" or "career cumulative PIPM" or "career cumulative WOWY" to argue GOAT candidacy (with the exception of career CORP, which is more of Thinking Basketball's personal estimation than a normal stat). Instead, what they usually do is look at some combination of stats for peak or prime, then make longevity arguments or career cumulative arguments from there.

If you're specifically interested in GOAT career candidates with a focus on cumulative value or longevity, then this is probably one of Jordan's weakest areas as a GOAT candidate. Jordan played 15 seasons total... including 86 when he played 18 regular season games plus playoffs, 95 when he played 17 regular season games plus playoffs, and both Wizard years. Meanwhile LeBron has played 18 seasons and counting, and Kareem played 21 seasons. Now I generally think total seasons aren't the best barometer for longevity because:
(1) they don't account for era differences (e.g. Jordan and Kareem were required to go to college, unlike LeBron; and sports medicine has improved through the years, enabling better longevity).
(2) They don't account for the relative value of different seasons (Kareem's last seasons, Jordan's Wizard seasons, and LeBron's first seasons barely move the needle at all in their GOAT case).
... but still, Kareem and LeBron have the clear longevity advantage, so you have to rate Jordan's prime that much more than Kareem's and LeBron's in order to pick Jordan as the #1 GOAT from a career-value perspective. Those 3 separate retirements hurt Jordan here, particularly the lost 94/95 seasons. But if you value Jordan's prime highly, you still might have him in the GOAT tier, even if you think LeBron or Kareem have passed him from a career value perspective.

Now let's get to the stats that have Jordan as a GOAT candidate in peak / prime. For some of these stats, I'll be comparing Jordan with LeBron, not because I want this to be another LeBron vs Jordan thread (I actively do not), but because I think most would agree that LeBron is a GOAT candidate. So if Jordan compares well relative to LeBron, that means he probably has a GOAT case, even if you still side with LeBron.

A. Plus-Minus Stats (and box estimates of plus-minus stats)
1. 3-Year Postseason Augmented Plus Minus: 2nd all-time. Using Jordan's actual playoff on/off data, Jordan is a hair behind Duncan at 1st (well within uncertainty ranges to put Jordan first) and above every 3-year stint from LeBron.
2. 3-Year Postseason PIPM: 3rd all time.* Jordan's ahead of Miami LeBron, which is usually considered LeBron's peak (although LeBron has other samples that creep ahead).
3. 3-year Postseason RAPTOR: 1st all time.*
4. 3-year Postseason On/off: 4th all time. This is a noisy stat that's clearly worse than RAPM/etc. However, we don't have playoff RAPM yet. In raw playoff on/off per 48 mins, Jordan ranks 5th all time (after Ray Allen, Robinson, Duncan, Garnett; better than LeBron). See here for other sample sizes (viewtopic.php?p=104317081#p104317081).
5a. Regular Season RAPM, single season: 8th all time. This comes from Squared2020's fantastic historical research into Jordan's actual plus minus data. However, note that this comes from a half-season sample in 1988, a two-thirds-season sample in 1991 where the Bulls drastically underperformed (i.e. missing many of the Bulls' best games), and one-third-season sample in 1996. With larger samples in 1991, and with actual data in 1989, 1990, 1992, and 1993, it's very reasonable to expect Jordan to rank higher here.
Edit: 5b. Regular Season RAPM, multi-season: Tier 1 all time. It's hard to do a fair multi-year RAPM comparison for Jordan, given we don't have every season, the seasons we do have are incomplete, and those incomplete samples are likely off from the full-season value. However, I tried to do an apples-to-apples comparison of LeBron vs Jordan in RAPM. LeBron's best years seem higher than Jordan's available years, but Jordan's more consistent and his multi-year average is better. See Post #59 Part 2 (https://forums.realgm.com/boards/viewtopic.php?p=103920388#p103920388) later in this thread for details.
6. Regular Season 3-year PIPM: 1st all time.* Jordan's 1st in PIPM across a full season (1st-Cavs-stint LeBron creeps ahead in PIPM per-possession).
7. Regular Season 3-year RAPTOR: 1st all time.* Jordan's 1st in RAPTOR across a full season and per possession.

*Note that some of these stats use box-estimates compared to real plus minus data for more modern players. No, this is not a perfect comparison. But. It is the best we have, and the box estimates are designed to mimic the real plus-minus data as closely as possible. It's as a fair a statistical comparison as we can make.
*Note that some of these stats do not cover all NBA seasons. Russell and Wilt are notably missing from all of them. However, PIPM/RAPTOR estimates (#2, #3, #6, #7) go back to the NBA merger in 1977.

B. WOWY-based stats
Plus minus stats give a good sense of value within a particular role. But they usually only go back to 1997 (excepting the historical work of Squared2020, thinking basketball). However, we can create a plus-minus-like stat using games as the sample... so our "on" sample is games where someone played, and our "off" sample is games when a player missed. This is a noisy statistic (even noisier than plus/minus data). However, it allows us to measure a player's value in a role going all the way back to 1955!

Jordan performs worse in raw WOWY ("only" 32nd all time). However, just like we have reason to distrust raw on/off -- as it doesn't fully correct for the value of who you're playing with, against, and who's replacing you in a lineup -- we have a similar reason to distrust raw WOWY. And just like we can "adjust" raw plus-minus to create APM and RAPM to correct for the other players, we can do the same for WOWY.
8. 10-year prime WOWYR: 4th all time.* This is like "Adjusted WOWY", and it places Jordan's 10-year prime over Russell's, Kareem's, LeBron's, Wilt's, and Duncan's.
9. 10-year prime GPM: 8th all time.* This is an similar stat to WOWYR, calculated in a different way. It places Jordan just below Russell, but ahead of Kareem, LeBron, Wilt, Duncan.

C. Box stats
10a. 1-year Postseason BPM: 1st all time.
10b. 3-year Postseason BPM: 1st all time.
10c. 5-year Postseason BPM: 1st all time.
11a. 1-year Regular Season BPM: 1st all time.
11b. 3-year Regular Season BPM: 1st all time.
11c. 5-year Regular Season BPM: 1st all time.
12. 3-year Postseason Basketball Reference BPM: 1st all time.
13. 3-year Postseason WS/48: 1st all time
This is pretty clear-cut. Jordan's a GOAT candidate in the box stats.
*Note: I'm using Thinking Basketball BPM for 10a and 11b, as it tests as the most accurate box-stat for predicting wins. I'm hesitant to continue too far down the box-stat rabbit hole (e.g. looking at PER, etc.), but those also portray Jordan as a GOAT candidate. And to its credit, BPM is one of the best all-in-one stats we have going back to Russell's time.

So: Across these 13 fairly industry-standard stats so far, Jordan comes out: 1st all-time 7x, 2nd all-time 1x, 3rd all-time 1x, 4th all-time 2x, 8th all-time 2x. That level of dominance is absolutely deserving of a statistical GOAT-case.

D. Team Stats
We can also use team stats to help infer the value of a player. Now let me be clear: teammates matter, coaching matters, context matters. Team stats alone cannot rank players. But... at the GOAT level, it's reasonable to expect quite a bit of lift. We can look for statistical evidence of clear floor raising when a GOAT-tier player has a poor supporting cast, and for cases of all-time dominance when a GOAT-tier player has a good supporting cast. Jordan had a good supporting cast. Do his teams show all-time dominance, i.e. might we infer GOAT-level ceiling raising from Jordan during his prime? Absolutely.
14. Playoff SRS: 4th, 5th all time. Jordan's team was 5th in 1991 during Jordan's 1-year peak, higher than LeBron/Russell/Wilt/Shaq/Kareem/Duncan/etc. in years that usually go as their 1-year peak.
15. Playoff common-opponent Net Rating: 1st, 4th all time. They were 4th in 1991 during Jordan's 1-year peak.
16. Playoff record: 5th, 11th all time. They were 5th in 1991 during Jordan's 1-year peak.
17. Regular-Season / Playoff ELO: 2nd, 3rd, 9th, 10th, 11th all time.
18. Regular Season SRS: 2nd, 5th, 9th all time.
19. Regular Season Record: 2nd, 5th, 9th all time.
*Edit: see post #159 for more details here (https://forums.realgm.com/boards/viewtopic.php?p=104242045#p104242045)

During Jordan's 10-year prime, Jordan's teams showed peaks reached levels that almost no other team did. Again, this crude method doesn't distinguish between Jordan and his supporting cast. But these statistics do show that Jordan can be the clear-cut best player in a ceiling-raising role on one of the most dominant dynasties ever.

In short: Yes, Jordan absolutely has a statistical case for GOAT peak and GOAT prime, and thus (arguably) for GOAT career. While we do not have all the data we want for Jordan (mainly no full-career actual plus-minus data), the stats we do have absolutely paint him as having a GOAT-tier peak and prime.

This is not to say the statistics universally favor Jordan over other GOAT candidates like LeBron or Kareem or Russell. They don't. I'm sure you could find a similar array of stats to support LeBron. Taking different sample sizes (e.g. 2-year, 4-year, 8-year, even 10-year playoff runs) would similarly shake up the order. And as above, the more you focus on longevity, the better the case LeBron and Kareem have.

But if you're just asking do the impact metrics we have portray Jordan as a GOAT candidate, then yes. Absolutely. At his best, Jordan was absolutely GOAT-tier player. :D


Hey I thought you deserved an And 1 for writing all of this useful information although I didn't read it cause it was too long. I didn't even think all of that text would fit into one post!
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#228 » by Heej » Sat Feb 18, 2023 5:08 pm

WillyJakkz wrote:
Hey I thought you deserved an And 1 for writing all of this useful information although I didn't read it cause it was too long. I didn't even think all of that text would fit into one post!

Hope you keep that same energy and And-1 the rest of the Hall of Fame posts in this thread :rofl:
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#229 » by homecourtloss » Sat Feb 18, 2023 6:13 pm

OhayoKD wrote:Prologue: Dray the Adult

You:
Possibility 4: Enigma just lied.

You, actually lying:
Takeaway: I’m not to here to accuse another poster of outright trying. But Heej, if you’re going to accuse some poster of making up false numbers, you think it would be the one who claimed they manually tracked 253 LeBron games on their own and are refusing to show work

:-?

A. Link me Dray

You
DraymondGold wrote:Re: Ben doesn't explicitly tell us what years he includes... yes he does! Pleases refer to the database links I cited in the previous comment :lol:

You, a sentence later
Re: does he include 154 off sample in WOWYR, that's a good question. I believe the rules he set are to consider off samples as games that a player misses for the teams they're on. For WOWYR, he doesn't use trades/moves to help buff up the off sample (though I wish he would, just to see how the scores differ). Jordan was on the team and playing in 95, so he's guaranteed to use the off sample in 95. Jordan was also still on the payroll and technically on the team in 94, so that's why I believe he used the 94 season as an off-sample (compared to someone like Russell in 1970 Celtics, who was no longer on the Celtics' payroll).

Having actually read the articles you linked, I will inform you that Ben mentions he decides "prime" or "non-prime" based on how many minutes are played and it is not made explicit whether he averages MPG based on how much is played during a season or during the specific games in a season a player plays. Since bball reference uses the latter I'll be nice and say 1995 is included. I see no reason to assume that for 1994, leaving us with an off sample of 72(over 10 years!). :(

For the sake of discussion, I'll add 1994 back, but not knowing the size of your sample is a problem when discussing...the size of your sample.

B. What Does Ben Say?

Since you don't actually have a consensus to appeal to(this is why we're pretending "game-level" works the same as "lineup-level"), we've gone to "Ben is highlighting worse data for the audience"
That he cites the individual samples of raw WOWY in his articles may just be a function of simplicity and communicability... it's quicker to explain a single sample of raw WOWY than it is for him to explain individual samples of raw WOWY -> full prime raw WOWY -> adjusted WOWYR, especially for an audience unfamiliar with his work.

Thing is, this "worse data" directly informs Ben's conclusions:
His on-ball approach is heavier on scoring than pass-first wizards like Steve Nash and Magic Johnson, but volume passing and volume scoring won’t maximize most top-end talent. Instead, James is the greatest floor-raiser in NBA history, able to do more with spare parts than anyone ever by simultaneously bolstering an offense while upgrading the defense.

Ben critiques Lebron with concerns about fit, film analysis, and concentrated data from Miami. His "10-year WOWYR" is never mentioned.

Ben is actually pretty explicit with what he thinks of 10-year or "prime" averages in his Russell write-up:
Boston was a 35-win team (-1.9 SRS) in 28 games he missed from 1958-69, and for the other 915 games of his career they played at a 59-win pace (6.4 SRS). This is a tiny piece of evidence – the years are spread out, teams change, and so on — but it echoes the same story as Russell’s other value signals.

It is a supplement which can help "echo" other more substantial signals. You might also notice that Ben brings up WOWY, not the WOWYR(which suggests Russell won most of his rings with 40-win help). Luckily, Ben offers a potential explanation.
In order to accurately solve for “what’s the most likely impact for Larry Bird on all of his lineups?” we need to know about the value of his teammates, like Reggie Lewis. And since Lewis only played a few years, his estimate is a bit fuzzy, and that in turn effects Bird’s estimate

The regression can distort a player's data instead of correcting it. But the real kicker comes next
Second, like any RAPM study that’s too long, it smoothes over differences between peak years, ignoring aging and injury. There are some ways around this — one of which is to use smaller time periods

Peep that last line. :o

Amazing what happens when we actually read :lol:

C. Math

But for the record, 666 + 154 games > the sample you're dealing with. Your on sample consists of 82 games in 85 (to compare to when he was out in 84), 18 games in 86 (to compare to when he was out in 86), 82 games in 88 (to look at Jordan pre-Pippen), 78 games in 93 (to compare to when he was out in 94), and 17 games in 95 (to compare to when he was out in 95).

My on sample is as big as your on sample. The Bulls year to year SRS, full strength SRS, and playoff SRS are not obscure mysteries. Everyone here can look at the on, derive various "offs" and adjust for whatever context they deem fit. The only difference in sample size is the "off". And since I'm not tossing out indirect data, my sample is bigger. Since I'm deriving "off" from seasons where there was an abundance of it, my per-season sample is vastly bigger.

This also doesn't touch on the likes of Lebron and Russell having plenty of available "off" that is entirely excluded from WOWYR. So again. Math. My sample is bigger. Your sample is smaller. Saying you're wrong isn't banter, it's a statement of fact.

D. Adjusting the Void

I think it's time...
Meanwhile, the adjusted WOWYR sample includes both that data for the on sample as well as teammate WOWY data from that time period to better pin down Jordan's value.

...to call a CEO:
ceoofkobefans wrote:Not responding to the other things atm but while yes WOWYR and GPM Tries to adjust for other teammates missing iirc the bulk of the calculation is based on that players WOWY sample so still the WOWY sample being small still matters (there’s a reason why John Stockton is 2nd all time in WOWYR and it’s not because he has a goat argument)

Adjusting a sample doesn't magically enlargen that sample. It corrects or distorts it. For, example: Pippen. GPM takes 1989-98, WOWYR takes his prime as 1989-01, but true star Pippen’s range is 1991-97, so if you dilute those values right as the Bulls’ SRS exploded, it can start misattributing a lot of value back to Jordan.
But second off, again your sample ignores almost all of Jordan's best years.

It ignores worse-looking data and then ignores Jordan's best teammate to pretend Jordan was the only reason the 1988 Bulls were 8 points better than the 1984 Bulls. We can make extrapolations for all those other years but as we've covered, all that would do is hurt Jordan. I am ignoring the other years as a kindness. I'm also not sure you know what "dilute" means. "Dilute" describes when something is spread thin. Cutting out smaller samples when I make an appraisal for 1988 concentrates. In case you're wondering, "concentrate" is the polar opposite of "dilute".

E. Reading...and Bullsh--t

This section was not originally planned, but er...it feels like a public service at this point
insisted incorrectly that Jordan isn’t above Russell in WOWYR 4 times

Here is what I insisted(and you repeatedly ignored):
And for all that, if we account for certain eras requiring lower SRS for high championship probability...
At the height of their dynasty, the Celtics were comically dominant. From 1962-65, their average margin-of-victory (MOV) was over 8 points per game. During the same time span, only two other teams even eclipsed 4 points per game – the ’64 Royals and the ’64 Warriors. And all of Boston’s separation was created by its historic defense, anchored by Russell:

...Jordan is still well behind Russell(and by extension Wilt):
Notably, if we take WOWYR seriously, Bill Russell led the greatest team ever with 35 win help throughout his prime while Jordan barely won half as much with 40-50 win help. While Jordan looks marginally better than Lebron, he's not really within range of GOAThood.Correction: Using prime WOWYR, which ben decides is less useful than prime WOWY in his Bill write-up, Russell merely won 11 rings with 40-win help

If your entire point is to say which number is higher, yes, Jordan's number is higher. But that only gets MJ to 4th. He's 6th if we value championships over raw-win totals. And potentially 7th if we use corrected Kareem data:
70sFan wrote:About WOWY - Jordan's biggest samples don't show him as the better one than Kareem (from Ben's database):
...
I'm afraid Ben's database has an error with 1978 sample, as it shows as clear negative for Kareem, despite all the calculations I made and his own words in Kareem profile:
...
Which shows a +5.8 SRS change again. The biggest samples we have show Kareem having a clear advantage.

Using "prime" or "10-year" WOWYR, 4-7 is your range. Great if your bar is "elite", but if your bar is Lebron...
but he considers both raw WOWY and adjusted WOWY can be used as evidence for Jordan having the GOAT prime/peak 8-)

I shouldn't be surprised at this point, but no. Ben never said anything about WOWY, Adjusted WOWY or Impact being evidence that Jordan was the greatest. He simply said his non-box and box was Goat-Worthy, never specifically outlining how many players would be included in that tier("top 4" comes from absolutely nowhere). More importantly, all Ben actually claimed with Jordan's WOWYR(featured in one sentence), was that it potrays him as "one of the most valuable players ever". A take no one in this thread has disputed. Jordan does great by the standard of "elite"(Colts). He does badly by the standard of Lebron:
Lebron James who pretty much reaches the standard of "absolute-consensus #1 player across all impact metrics" for the data-ball era. Most RAPM-Data sets have Lebron miles ahead of anyone post-1997. Using Ben Taylor's own 5-year RAPM, the gap between Lebron and 2nd place KG is as big as the gap between KG and 7th place Steve Nash. Looking at his prime as a whole...
2018 is the 25th season of league-wide plus-minus data, which covers nearly 40 percent of the shot-clock era and touches 12 of the top-20 players on this list. None have achieved LeBron’s heights: He holds four of the top-five scaled APM seasons on record, and six of the top eight. Since 2007, 10 of his 11 years land in the 99th percentile.

This is also an especially weird point to make in a comparison with Lebron James who pretty much reaches the standard of "absolute-consensus #1 player across all impact metrics" for the data-ball era.

near-universally favor Lebron in the majority of comparative frames

Lebron dominates PIPM, has a WOWY/WOWYR profile only really rivalled by Kareem, Russell and Wilt(more on that later), looks the best in most AUPM comparisons, looks the best in Circle's "playoff on/off" sample(role player Robinson notwithstanding). and is 1 or 2(depending on comparative frame) in pretty much every box-metric(becoming a clear 1 if you so much as hedge between defensive impact and defensive box-score).

For those reading, this is one of countless arguments Dray entirely ignored while repeating points/claims these arguments directly addressed. Example:
I posted the AuPM (which has peak Jordan > LeBron) is based on real plus minus data.

See that "majority of comparative frames"? My argument was never that it was impossible to find a specific comparison where Jordan comes out ahead. It was that these metrics all generally favored Lebron. Lebron has the best individual years in all of these adjusted metrics including AUPM. He also has a higher average over a majority of time-frames. You chose one specific frame where AUPM favors Jordan. Considering what I'm actually arguing(and have reiterated numerous times to no avail), that Jordan's "3-year AUPM" comes out a bit ahead of Lebron(while still not ranking #1) does not suffice as a rebuttal.

But it's with this next misreading we get to the heart of the matter:
However…. you accuse me of being emotionally biased for throwing out “every stat that disagrees with my priors”, simply because I say that I trust adjusted impact metrics more than raw impact metrics.... a claim is supported by the multitude of NBA analysts who agree with me above (more on this below!).

No, I accused you of being emotionally biased because you applied an argument that could be made against every metric mentioned(adjusted or otherwise), to one that preferred Lebron:
Is your position that every stat that disagrees with your priors isn't valuable? All metrics produce wonky results.

You cherrypicked a bunch of outputs you found questionable, something that I could do to every statistic mentioned on this thread. You then proceeded to throw out data, so that the other "better' stats which also generally favor Lebron would look good for MJ
The years which "murk" would be 2009, 2010, 2011, 2012, 2015 and 2016. As in, they are all higher than any Jordan RAPM score. Both averages dray uses exclude 3 of those scores.

Without this bit of cherrypicking:
2009-2017 Lebron scores an average of +8.15. 2009-2013 Lebron scores an average of +8.6. The very best single-year score available for Jordan has him at +7.47.

Lebron's average RAPM(including a plethora of pre and post-prime years) is higher. Lebron's prime RAPM(1-year, 2-year, 3-year, 4-year, 5-year...8-year) is much higher, and most damningly, I can cherrypick Jordan's very best regular season(at least per rapm), and it would not match any of these averages.(well okay, it would probably match the career one :lol: )

This was actually explained in a post you directly quoted:
1. Lebron is, generally, playing significantly more minutes and games over the stretches we're comparing. Averages tend to go down, the longer someone plays.
2. Lebron generally staggered more with his co-stars than Jordan did. Typically this would depress a player's on/off. All things considered, "team context" probably juices Jordan, not Lebron.

Maybe #2 is why lineup-adjustment puts Lebron's 8-year average higher than the very best 1-year signal we have for Mike. Truly inconsistent.

This is off course, not the first time in this thread, you've tossed out data to make a stat that predominantly favors Lebron...
But he doesn't. You specifically chose a favorable frame of comparison for Jordan(3-years consecutive), and Lebron has, not one, but two better stretches when we utilize that frame. Going off the data RK listed, Lebron has the 2 highest scoring years(with 2009 being far ahead of anything else), and 5 of the best scoring 7. I could literally chuck the best scoring year by far, and Lebron would still look better. Jordan does not look comparable, and he does not rank 3rd-all time, he ranks 3rd among the players we actually have data for. PIPM dates back to 1977. That leaves at least 2 players with consistently better impact indicators completely out of the room.

...look "arguable" for Jordan:
3rd all time.* Jordan's ahead of Miami LeBron, which is usually considered LeBron's peak (although LeBron has other samples that creep ahead).

And that if Jordan looks comparable to LeBron

And it seems even the "not-stat" guys are noticing:
ShaqAttac wrote:rapm, pippm, onoff, all that wowwy **** or whatver clearly favors bron. aupm favors bron mostly. if u gotta ignore a guy's best scores to make your arg, you prob dont have an arg.

Heej wrote:Still tho, don't think Jordan had that in him to really be able to orchestrate on both ends of the floor; and that's partly why he needed Pippen and Phil more than people like to admit. Also seems to contribute to why a lot of these impact numbers need to be heavily massaged in order to prop Jordan up vs LeBron lol

Some of these DraymondGold posts are starting to give off some serious "I cooka da Pasta (data)" vibes and we need to start a dialogue

See Dray, this might work with people less familiar with these types of numbers, but the PC Board is littered with posters with at least some statistical literacy. This means that when you try and bulls--t this blatantly, some of us might notice.

Worth noting, that a major source of the inaccuracy with your on/off data wasn't your method of calculation. Rather it was you tossing out 1995 thereby inflating Jordan's averages. You say you weigh on/off less, but that didn't stop you from "cooking". Fortunately not one, not two, not three, not four, but five different posters immediately noticed something was amiss. And the worst part is, instead of acknowledging you messed up, you implied the one guy who didn't assume it was intentional was lying...by lying yourself to make them look bad. I used "f---ed" instead of "messed" because to my ear it sonically flows better. If that was perceived as a tantrum, that's on me, but you're really in no position to give a lecture on civility.

For posterity, i will offer a more "honest" empirical breakdown of the various metrics in question employing the frames Bidofo and Draymond were using with on/off("consecutive average" and "average the best years"). I will note exceptions where they are present(some of that is guess-work so please check and correct), but I am going by the standard of "most comparative frames"

JORDAN VS LEBRON IMPACT BREAKDOWN

WOWY/Indirect/Raw(there are various degrees of adjustment to some of these samples but they do not use "10 years" of data like WOWYR) - Best Years - Lebron(Big Gap) MJ looks fringe top-10
WOWY/Indirect/Raw - Averages - Lebron(Big Gap) MJ looks solidly top-10

10-year/prime WOWYR/GPM/ALT- Averages(there is no "best year") - Jordan(Marginal Gap) MJ's range is 4-7 depending on if you use raw wins or championships/relative SRS as your onException: Lebron has a decent advantage in ALT-scaled WOWYR

PIPM - Average - Lebron(big gap) - Jordan is 2nd-4th(no data pre-1977)
PIPM - Best Years - Lebron(bigger gap) - Jordan is 2(no data pre-1977)

AUPM - Average - Lebron Exception: Jordan has slight edge in 3-year(4 year?), MJ comes 2nd(Duncan has better 1-3 but Jordan advantage otherwise, no data pre-1997 except for MJ)
AUPM - Best Years[/b] - Lebron(big gap) - Jordan comes 3rd(no data pre-1997 except for MJ)

RAPM - Average - Lebron(Big gap) - Jordan looks somewhere between 2-5, is 8th overall(different creators/scales, partial data, ect make things really tricky, no data-pre 1997 except for MJ)
RAPM - Best Years - Lebron(Big Gap) - Ditto with above

ON/OFF PLAYOFFS - Average - Lebron(Big Gap) - Exceptions: 1-year tied, 8-year tied, 2-year and 3-year favor MJ - MJ ranks? No **** clue. Duncan, KG, Shaq, Curry are probably the candidates. I am not hand-calcing all that :lol:
ON/OFF PLAYOFFS - Best Years -Lebron(Gigantic Gap) - Exceptions: 1-year tied, ditto for his overall rank

ON/OFF REGULAR SEASON - Best Years and Average - Lebron(Big Gap), since only 97 and 98 are the only mj regular seasons, i'm specifically comparing it to non-peak lebron seasons here. TLDR: 97 is worse than seventeen of Lebron's 20 rs scores, 98 is worse than eighteen. Not exactly "peak", but it is a clobbering when we compare 97-98 MJ to low-end Bron stuff - MJ ranks at? No **** clue

BONUS: NON IMPACT
Summary: RS leans MJ, Postseason favors lebron. The margin in the playoffs varies depending on how much you lean towards "best years" and how much you lean towards "consecutive".

CONCLUSION
Excluding the bonus we get 1 type of signal favoring Jordan(over Lebron) that places him somewhere between 4 and 7. That signal happens to have the smallest possible "off sample"(per season for Jordan though it's also tiny overall for Russell/Lebron, and currently not accurate for Kareem. Keep in mind it's also miniscule for Jordan unless Dray's assumptions regarding the sample, which he's admitted he isn't sure of, are correct).

Overall Lebron has a 5-1 advantage. 3-0 with Line-up adjustment, 2-1 with no Lineup adjustment. In terms of impact(or at least the metrics me and dray agreed to consider "impact" for this discussion), Jordan has nothing that generally puts him #1. It is possible there is a specific type of comparative frame he scores the best(i am too lazy to hand-track more on/off for other players and maybe 4-year AUPM does the trick), but, I always caveated my initial answer("no") with "most comparative frames" and "generally". Dray just completely ignored that distinction, but whatever.
Heej wrote:Some of these DraymondGold posts are starting to give off some serious "I cooka da Pasta (data)" vibes and we need to start a dialogue

Looking forward to the WOWYR breakdown tho

Dialogue started. WOWYR brokendown. Now I go...
:sleep2:


I hope someone is saving these. :nod:
lessthanjake wrote:Kyrie was extremely impactful without LeBron, and basically had zero impact whatsoever if LeBron was on the court.

lessthanjake wrote: By playing in a way that prevents Kyrie from getting much impact, LeBron ensures that controlling for Kyrie has limited effect…
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#230 » by Squared2020 » Sat Feb 18, 2023 10:53 pm

DraymondGold wrote: :D


I have every Jordan playoff game on tape.

Total aside: Of the 1126 playoff games from 1975 through 1996, I have 918 of those on tape. If you know anyone who has any complete games from the 1980 Rockets-Celtics eastern conference series, I'd be happy to have a conversation with them.
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#231 » by eminence » Sat Feb 18, 2023 11:01 pm

Squared2020 wrote:
DraymondGold wrote: :D


I have every Jordan playoff game on tape.

Total aside: Of the 1126 playoff games from 1975 through 1996, I have 918 of those on tape. If you know anyone who has any complete games from the 1980 Rockets-Celtics eastern conference series, I'd be happy to have a conversation with them.


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I bought a boat.
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#232 » by Djoker » Sun Feb 19, 2023 7:08 am

According to a bunch of posters in this thread, Ben Taylor must be a liar and a Jordan stan too...

Almost all statistics favor Jordan. As Ben rightfully said, Jordan's peak isn't an "outlier among outliers" or "unassailable" but he has the best argument for the strongest peak in NBA history.



Watch the Greatest Peaks Finale from 20:00 onwards..

Jordan leads in almost every playoff impact metric on a per game basis:
- 3-year Backpicks BPM
- 3-year Goldstein PIPM
- 3-year AuPM

Jordan also literally annihilates him in the Big 4 Offensive Categories. Way higher scoring volume, comparable efficiency, comparable playmaking, and much lower turnovers.
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#233 » by 70sFan » Sun Feb 19, 2023 8:01 am

Squared2020 wrote:
DraymondGold wrote: :D


I have every Jordan playoff game on tape.

Total aside: Of the 1126 playoff games from 1975 through 1996, I have 918 of those on tape. If you know anyone who has any complete games from the 1980 Rockets-Celtics eastern conference series, I'd be happy to have a conversation with them.

I have only short clip (around 10 min) from 1980 Rockets vs Celtics series, but I don't think you will be interested in it.

That's extremely impressive collection. I wonder if you counted your pre-1975 playoff games as well. I'd appreciate it if you give us even an estimated number.
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#234 » by Dutchball97 » Sun Feb 19, 2023 8:25 am

The top 100 is going to be such a mess if half the board now gets mad at others even saying Jordan has an argument for being the GOAT.
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#235 » by CzBoobie » Sun Feb 19, 2023 8:49 am

Dutchball97 wrote:The top 100 is going to be such a mess if half the board now gets mad at others even saying Jordan has an argument for being the GOAT.

As opposed to the other half saying that no one else has an argument, right? How dare someone challenge the holy numbers of MJ.
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#236 » by 70sFan » Sun Feb 19, 2023 8:53 am

CzBoobie wrote:
Dutchball97 wrote:The top 100 is going to be such a mess if half the board now gets mad at others even saying Jordan has an argument for being the GOAT.

As opposed to the other half saying that no one else has an argument, right? How dare someone challenge the holy numbers of MJ.

That was never the problem on this board though.
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#237 » by CzBoobie » Sun Feb 19, 2023 9:03 am

70sFan wrote:
CzBoobie wrote:
Dutchball97 wrote:The top 100 is going to be such a mess if half the board now gets mad at others even saying Jordan has an argument for being the GOAT.

As opposed to the other half saying that no one else has an argument, right? How dare someone challenge the holy numbers of MJ.

That was never the problem on this board though.

And what Dutch said is?
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#238 » by Dutchball97 » Sun Feb 19, 2023 9:06 am

CzBoobie wrote:
Dutchball97 wrote:The top 100 is going to be such a mess if half the board now gets mad at others even saying Jordan has an argument for being the GOAT.

As opposed to the other half saying that no one else has an argument, right? How dare someone challenge the holy numbers of MJ.


I could say I'm surprised but it's pretty par for the course for anti-MJ people to make up fantasies about what pro-MJ arguments are saying. Everyone who has MJ in their GOAT tier, even if it's as 3rd, 4th or 5th, is apparently saying MJ is the undisputed holy number 1?
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#239 » by Dutchball97 » Sun Feb 19, 2023 9:10 am

CzBoobie wrote:
70sFan wrote:
CzBoobie wrote:As opposed to the other half saying that no one else has an argument, right? How dare someone challenge the holy numbers of MJ.

That was never the problem on this board though.

And what Dutch said is?


It's not some universal problem but since I have no clue who you are I'll just assume you don't frequent here as often and haven't seen the hostility that's been present in every thread even slightly mentioning Jordan in recent months. The point is especially that it isn't one or two people on either side doing this, the board seems to be almost split down the middle lately and both groups thinking the other is being completely unreasonable. Whether you have MJ, LeBron or anyone else as your GOAT, we can all see from a mile away that the top 100 discussion for the first place is going to be just as, if not more, hostile as all the other threads have been.
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Re: What impact metrics show MJ as a GOAT candidate? 

Post#240 » by CzBoobie » Sun Feb 19, 2023 9:11 am

Dutchball97 wrote:
CzBoobie wrote:
Dutchball97 wrote:The top 100 is going to be such a mess if half the board now gets mad at others even saying Jordan has an argument for being the GOAT.

As opposed to the other half saying that no one else has an argument, right? How dare someone challenge the holy numbers of MJ.


I could say I'm surprised but it's pretty par for the course for anti-MJ people to make up fantasies about what pro-MJ arguments are saying. Everyone who has MJ in their GOAT tier, even if it's as 3rd, 4th or 5th, is apparently saying MJ is the undisputed holy number 1?

I have no idea where you get that from. Show me someone in this thread arguing that MJ is not in GOAT tier. But apparently anyone arguing in favor of LBJ are now anti-MJ people making up fantasies...nice.

It's interesting that you see it only as hostility on one side. The other is always perfectly reasonable I guess.

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