Retro Player of the Year 1992-93 UPDATE — Hakeem Olajuwon

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Re: Retro Player of the Year 1992-93 UPDATE 

Post#101 » by OhayoKD » Sat Nov 30, 2024 7:04 am

lessthanjake wrote:
OhayoKD wrote:
lessthanjake wrote:
You’ll find that I’ve already addressed this exact analogy in this thread. I think it’s safe to say that if Magic had a genuinely historic finals performance in 1988, then he would’ve easily won POY. .

Magic's performance in 88 was better than Jordan's in 1993 lol.


That’s definitely a take. And I’m sure you’ll justify it with some more of your trusted extraps. :lol:

As opposed to absolutely nothing? Intuitions that explain nothing are worthless I'm afraid
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#102 » by One_and_Done » Sat Nov 30, 2024 7:05 am

IlikeSHAIguys wrote:1 - Hakeem Olajuwon
2 - Patrick Ewing
3 - Michael Jordan
4 - Charles Barkley
5 - Scottie Pippen

Begging voters to just ignore what we actually think about Hakeem vs Jordan because Jordan's team did better feels like you know Hakeem was better lol. He's obviously a better defender and his team isn't like 2 wins worse than when he leaves and his supporters seem to have an opinion about his play other than he scored 41 which is cool but like if that's what it took Jordan would have won all of these POYs.

Don't really get Jordan over Ewing either tbh. Like, do you think the Knicks are winning 50 games if he goes? Idk maybe he does but all I saw was someone saying that maybe Ewing had more rs help and they didn't say anything else about it. Ewing won more games and shot way better when they went against each other while being a defensive monster obviously. I was thinking it was okay his ts isn't terrible but when you see its 1 good game and 4 horrible ones yeah lol. Don't really like giving MJ credit for his teammates saving him.

He won an MVP and made the finals so I think TNT guy should be here too. KJ was being voted OPOY so doing it with him injured is pretty impressive.

Pippen for 5 seems okay.

Defensive Player of the Year
1 - Hakeem
2 - Ewing
3 - Pippen

Offensive Player of the Year
1 - Jordan
2 - Barkley
3 - Hakeem

Why is the test 'do the Knicks win 50 without Ewing?'

They might not have won 50, but they'd have been a good solid team without him. They were stacked with talent.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#103 » by OhayoKD » Sat Nov 30, 2024 7:08 am

One_and_Done wrote:
IlikeSHAIguys wrote:1 - Hakeem Olajuwon
2 - Patrick Ewing
3 - Michael Jordan
4 - Charles Barkley
5 - Scottie Pippen

Begging voters to just ignore what we actually think about Hakeem vs Jordan because Jordan's team did better feels like you know Hakeem was better lol. He's obviously a better defender and his team isn't like 2 wins worse than when he leaves and his supporters seem to have an opinion about his play other than he scored 41 which is cool but like if that's what it took Jordan would have won all of these POYs.

Don't really get Jordan over Ewing either tbh. Like, do you think the Knicks are winning 50 games if he goes? Idk maybe he does but all I saw was someone saying that maybe Ewing had more rs help and they didn't say anything else about it. Ewing won more games and shot way better when they went against each other while being a defensive monster obviously. I was thinking it was okay his ts isn't terrible but when you see its 1 good game and 4 horrible ones yeah lol. Don't really like giving MJ credit for his teammates saving him.

He won an MVP and made the finals so I think TNT guy should be here too. KJ was being voted OPOY so doing it with him injured is pretty impressive.

Pippen for 5 seems okay.

Defensive Player of the Year
1 - Hakeem
2 - Ewing
3 - Pippen

Offensive Player of the Year
1 - Jordan
2 - Barkley
3 - Hakeem

Why is the test 'do the Knicks win 50 without Ewing?'

They might not have won 50, but they'd have been a good solid team without him. They were stacked with talent.

Probably because the Knicks won more regular season games than the Bulls. Granted, that flips the other way with SRS though it seems a fair amount of voters don't really care about the latter(including yourself?).
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#104 » by lessthanjake » Sat Nov 30, 2024 7:33 am

OhayoKD wrote:
lessthanjake wrote:
OhayoKD wrote:Magic's performance in 88 was better than Jordan's in 1993 lol.


That’s definitely a take. And I’m sure you’ll justify it with some more of your trusted extraps. :lol:

As opposed to absolutely nothing? Intuitions that explain nothing are worthless I'm afraid


I think it’s very safe to say that the vast majority of people who have watched both series (and many people did, since these weren’t finals that were all that far apart) concluded that Jordan had been superior (a notion that a glance at the box score would also support for most people FWIW), since the reputation of the two series’s are really just not remotely the same, nor was the reaction from people at the time they were happening. If you want to label that “intuition” then okay, but the idea that the widespread perception of people who watched games is “worthless” is just wrong. You want to just say that both general contemporaneous perception and box scores must be ignored, in favor of whatever data-manipulation-based, hand-waving “extraps” you can come up with to get to your preferred conclusion. And you justify it by saying that nothing else matters but impact on winning and that your “extraps” are purportedly geared towards measuring that while other things purportedly are not. But the methods you use are basically just cherry-picked, hand-waving garbage that typically isn’t any more valid than my spoof explaining why Jordan is not a top 100 player. You have basically decided to insist people should only care about what your data-manipulation “extraps” say, which essentially just amounts to saying people should only care about what your personal priors are, since you’re just workshopping these “extraps” to confirm your priors.

I’m quite comfortable with the idea that, for the vast majority of people, Jordan’s 1993 Finals performance is easily superior to Magic’s 1988 Finals performance. And that’s a major reason why Jordan is the easy answer for 1993 POY while Magic is merely a contender but not easy answer for 1988 POY. (Of course, Jordan won’t be the “easy answer for 1993 POY” for purposes of the small number of voters in this specific thread—in fact, he probably won’t get POY at all in this thread—but I’m obviously talking more generally than just this clearly idiosyncratic group of voters).
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#105 » by OhayoKD » Sat Nov 30, 2024 7:43 am

lessthanjake wrote:
OhayoKD wrote:
lessthanjake wrote:
That’s definitely a take. And I’m sure you’ll justify it with some more of your trusted extraps. :lol:

As opposed to absolutely nothing? Intuitions that explain nothing are worthless I'm afraid


I think it’s very safe to say that the vast majority of people who have watched both series (and many people did, since these weren’t finals that were all that far apart) concluded that Jordan had been superior (a notion that a glance at the box score would also support for most people FWIW), since the reputation of the two series’s are really just not remotely the same, nor was the reaction from people at the time they were happening..

Cool. Now if you and the vast majority of people can explain what your impression explains regarding outcomes, you might have a point.

Otherwise it's quite silly to care that player a scored 45 and player b scored 20 when the statistical CORP-king barely averaged 10 and the best signal from anyone in the 70s or the 80s or the 90s comes from the guy who averaged 18.6. The failure of imagination you and this vast majority share is not evidence.

The nice things about "extraps" is you can directly see the reasoning and challenge it. You offer nothing to challenge, because you have nothing to offer. And it is high irony to spoof from someone who has repeatedly posted black box metrics that do dozens of these extraps several seasons apart over much tinier samples than what I and others (including the Jordan voters here) use (while ignoring alternative methods of that same type of thing have output Jordan as 4th among his own contemporaries).

If you care about evidence and you care about winning, you start with how the arrivals and depatures and minutes of players correlate with winning. If you care about confirming your priors you say "jordan averaged 45" and say "obviously obviously obviously" because....**** all lol
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#106 » by lessthanjake » Sat Nov 30, 2024 8:51 am

OhayoKD wrote:
lessthanjake wrote:
OhayoKD wrote:As opposed to absolutely nothing? Intuitions that explain nothing are worthless I'm afraid


I think it’s very safe to say that the vast majority of people who have watched both series (and many people did, since these weren’t finals that were all that far apart) concluded that Jordan had been superior (a notion that a glance at the box score would also support for most people FWIW), since the reputation of the two series’s are really just not remotely the same, nor was the reaction from people at the time they were happening..

Cool. Now if you and the vast majority of people can explain what your impression explains regarding outcomes, you might have a point.

Otherwise it's quite silly to care that player a scored 45 and player b scored 20 when the statistical CORP-king barely averaged 10 and the best signal from anyone in the 70s or the 80s or the 90s comes from the guy who averaged 18.6. The failure of imagination you and this vast majority share is not evidence.


I think you’ll find that contemporaneous perception of both the individuals you refer to was extremely high, despite them not scoring a ton. You’re not identifying a “failure of imagination” from the “vast majority” of people, but actually identifying instances in which the vast majority of people were clearly able to intuit a player’s greatness despite them not scoring a lot. This is the opposite of what you’re trying to claim. In reality, contemporaneous perception has regularly recognized the greatness of players who were highly impactful despite not scoring much. Not scoring a lot isn’t at all a bar to such recognition—and certainly wasn’t in the era in which the 1988 and 1993 finals occurred. Jordan’s 1993 Finals was regarded as better not because people mindlessly saw he scored more, but because people watched the series' and recognized that he performed better (yes, in significant part because he scored so much while his co-star was massively struggling, but scoring is naturally important!).

The nice things about "extraps" is you can directly see the reasoning and challenge it. You offer nothing to challenge, because you have nothing to offer. And it is high irony to spoof from someone who has repeatedly posted black box metrics that do dozens of these extraps several seasons apart over much tinier samples than what I and others (including the Jordan voters here) use (while ignoring alternative methods of that same type of thing have output Jordan as 4th among his own contemporaries).


Lol, ironically, you’re actually the one who has “offer[ed] nothing to challenge” since you simply said Magic’s 1988 Finals performance was better than Jordan’s 1993 Finals performance, with no explanation at all. I forecast that you’d come back with some of your trusted extraps to back up that statement, but you didn’t actually even do so, and instead went straight to accusing me of “offer[ing] nothing,” even though I’m the one that had actually provided substantial discussion of Jordan’s finals and why it was so good. Comical stuff. Just jumping straight to holier-than-thou attacks without actually dotting your i’s beforehand. You’ll need to cook up some of your extraps first before you can actually say anyone else “ha[s] nothing to offer” without extreme irony. So commence the cherry-picking and data manipulation, I guess!

In any event, I’d also note that including “dozens of these extraps” is actually quite a lot better than cherry-picking things to get to a certain preferred outcome like you do.

If you care about evidence and you care about winning, you start with how the arrivals and depatures and minutes of players correlate with winning. If you care about confirming your priors you say "jordan averaged 45" and say "obviously obviously obviously" because....**** all lol


Except actually you selectively *don’t* care about how the minutes of players correlate with winning when RAPM doesn’t favor your position. In that case, you explicitly argue *against* the use of RAPM and instead hyper-focus on WOWY (even when the WOWY samples are small). And if that doesn’t work, you cook up some creative “extraps” to get you to whatever conclusion you wish to get to about impact and/or hand-wave out some assumptions about players’ impact based on your perception of their “archetypes," or come up with some other elaborate rationale for your conclusion such as hyper-focusing on the importance of specific sequences of a game in which how players did fits your preferred narrative (see, for instance, some of your Jokic criticism these past playoffs), etc. It's abundantly clear that you will get to your preferred conclusion in one way or another, irrespective of whether your way of getting there involves looking at "how the arrivals and departures and minutes of players correlate with winning" and irrespective of whether there's other ways to look at how those things correlate with winning that are much less favorable to your preferred conclusion. And without getting into detail, I’ll note that, based on unsolicited PMs I’ve received even from people who generally substantively agree with you, I am quite certain this isn’t just me who thinks this, but rather is something that is obvious to most people. EDIT: And since this discussion is veering towards being unfriendly, and de-escalation definitely isn’t your forte, I think I’ll probably just leave it there in this discussion, and let my prior posts speak for themselves, even after you inevitably make some sort of highly aggressive response.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#107 » by OhayoKD » Sat Nov 30, 2024 9:55 am

lessthanjake wrote:
OhayoKD wrote:
lessthanjake wrote:
I think it’s very safe to say that the vast majority of people who have watched both series (and many people did, since these weren’t finals that were all that far apart) concluded that Jordan had been superior (a notion that a glance at the box score would also support for most people FWIW), since the reputation of the two series’s are really just not remotely the same, nor was the reaction from people at the time they were happening..

Cool. Now if you and the vast majority of people can explain what your impression explains regarding outcomes, you might have a point.

Otherwise it's quite silly to care that player a scored 45 and player b scored 20 when the statistical CORP-king barely averaged 10 and the best signal from anyone in the 70s or the 80s or the 90s comes from the guy who averaged 18.6. The failure of imagination you and this vast majority share is not evidence.


I think you’ll find that contemporaneous perception of both the individuals you refer to was extremely high,


They were not regarded as highly as direct results suggested they should. Now that those results, beyond simply the championships, have taken precedence, both have enjoyed more favorable runs in this project than the last one or relative to general consensus.

If these initial intuitions were justified, they should hold up. Even if they were somewhat dubious, incumbency is a massive advantage, paticularly in a sport whose narrative-crafters, statisticans, and participants are as defensive against change as basketball. If, despite this, these intuitions come into question, then it's quite pathetic to try and use the original intepretation being different as reason to mantain the status quo. But that's really all you are here to do. It's why you, a repeatedly documented data-cooker. is now making a point of trying to discredit the posters making arguments you have no rebuttal for.

Ideally the work of creating and testing distinct interpretations(including box-scores) would have started decades ago, but it seems you want that process to be delayed further(or never take off at all), lest those interpretations prove to offer advantages in certain comparisons to players you'd prefer not to be advantaged.

The nice things about "extraps" is you can directly see the reasoning and challenge it. You offer nothing to challenge, because you have nothing to offer. And it is high irony to spoof from someone who has repeatedly posted black box metrics that do dozens of these extraps several seasons apart over much tinier samples than what I and others (including the Jordan voters here) use (while ignoring alternative methods of that same type of thing have output Jordan as 4th among his own contemporaries).


Lol, ironically, you’re actually the one who has “offer[ed] nothing to challenge” since you simply said Magic’s 1988 Finals performance was better than Jordan’s 1993 Finals performance, with no explanation at all.

When a player showcasing greater impact than 1993 Micheal Jordan improved the production proxies you put high-importance on vs an elite defense and his team's offense translated much better against said offense than the other stars that offense played (including one Micheal Jordan)?

I didn't mention it because it seemed unnecessary with a voting bloc that regarded Magic as superior to an iteration of Jordan they likely regard as superior to this one.

In any event, I’d also note that including “dozens of these extraps” is actually quite a lot better than cherry-picking stuff to get to a certain preferred outcome like you do.

Makes sense. Extraps are bull. So if we pack more of the things that you consider bull they become genuine.

I am moved.



If you care about evidence and you care about winning, you start with how the arrivals and depatures and minutes of players correlate with winning. If you care about confirming your priors you say "jordan averaged 45" and say "obviously obviously obviously" because....**** all lol


Except actually you selectively *don’t* care about how the minutes of players correlate with winning when RAPM doesn’t favor your position. In that case, you explicitly argue *against* the use of RAPM and instead hyper-focus on WOWY (even when the WOWY samples are small).

I argue against RAPM being used to the exclusion of WOWY, and I argue against weighing samples where a single player dominates the sample since it produces an inflationary effect. If Jordan looks significantly better than everyone in RAPM after everyone's sampled properly, I'll be more confident in him as his era's best player than Hakeem or Magic. In a POY sense that would suffice to flip my 89 and 91 vote. (would flip 91 now in hindsight)



And if that doesn’t work, you cook up some creative “extraps”

Cook up, huh? You mean like when you were upset WOWY and RAPM doesn't potray Jokic as a comparable peak to Lebron, created your own filter for WOWY, compared uneven time frames(4 years to five), and then...ignored the best 5-year signal for Lebron because it still put him above Jokic?

I am specific, you are vague. You seem to take that specificity as fair cause to nitpick and then take those nitpicks as reason to divert focus onto me as opposed to what is argued, even when I acknowledge you as correct and adjust my opinion accordingly

Extraps are bad unless they are stitched together en masse in a way that produces outputs you find favorable. Analyzing production is bad unless they are analyzed in a way that fits your priors. Consensus is bad unless it's a consensus that suits you. Most people who watched the 2017 finals intuited Durant was better than Curry. Was KD your POY?


You are projecting, as you are wont to do. Behind all those paragraphs communicating what could be conveyed easily in a few sentences, is a lawyer using crayons on a wall.

Amusing for a time, but eventually it grows tiresome.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#108 » by 70sFan » Sat Nov 30, 2024 10:47 am

One_and_Done wrote:For anyone who watched or followed the game at the time, the slow decline after his injury in mid-04 was fairly plain to see. He was probably only 5% worse the next several years, but certainly by 08 the media coverage was that Duncan's knees were 'bone on bone'; I recall Shaq discussing it in an article at the time. He looked slower and less athletic compared to his 02 and 03 peak,

It's true that Duncan dealt with injuries and was noticeably less athletic than at his peak... since 2004. That didn't bother you to put 2004-07 years in his prime, but suddenly you decided to leave 2008 simply because he had a rough postseason scoring run.


and by the 2011 offseason he realised he had to drop alot of weight to still be impactful. This let him play better in 12-14 than he did in 11, though still no longer at prime Duncan levels.

Nobody argues for 2011 being Duncan's prime, that's 3 years after 2008. It's irrelevant in this discussion.

Statistically, it's much the same. During Duncan's prime from 98 to 07 the Spurs Drtg was always under 100. In 08 it dropped to 101.8,

Yeah, it definitely had nothing to do with the fact that league average ORtg was the highest in Duncan's career up to that point. It's definitely a testimony to Duncan regression that the Spurs had only -5.7 rDRtg. It also doesn't matter that the Spurs had -7.7 rDRtg against three of the best offensive teams in the league in postseason either, all on the back of Duncan's immense rim protection and rebounding ability (he had 32.1 DRB% in that postseason).

The timing of this aligns with the progression of Duncan's loss of mobility and athleticism.

Duncan started to lose his mobility and athleticism in 2004, it didn't stop him from being the best defender in the league in 2004-08 period.

We also saw the decline in other ways, such as Duncan's personal #s dipping. In 08 his Drtg was 97, the worst number of his career to that point.

He had 96 in 2002, I suppose it's the sign of him being weak compared to the rest of his prime in that season too?

Over the previous 3 years Duncan had averaged 34pp100 in the playoffs. In 08 it was down to 27pp100 at a TS of only 488, by far the lowest % of his career to that point. Frim 98-07 Duncan scored 32pp100 in the PS on 560 TS%, the next 3 years it was 28pp100 on 509 TS% (against weaker foes and with much worse team outcomes). I could go on.

So it all comes down to him having a rough postseason scoring performance, right?

You ignore that he also had his best rebounding postseason ever or that he created for teammates more than in 2004 or 2005.

It's not the first time Duncan struggled scoring-wise in his career. His whole 2005 postseason run was saved by Suns series, without it he averaged 22.5 ppg on 50.7 TS%. Yeah, it was the worst scoring run of his prime, that alone doesn't make him past his prime. 2008 Duncan was clearly better than rookie Duncan.

I have to assume if Hakeem was just as good from 86 to 97 then Hakeem had alot of underachieving seasons.

"Prime" doesn't mean that all of the prime seasons are on the same level. If that's your definition, then 1998 Duncan is close to 2003 Duncan, so he's not in his prime.

I also have to assume that, if the Sonics had played Hakeem in 94 or 95, that the Sonics should have been favoured to win.

Because he lost a very close series in 1993? Do you know that Hakeem beat the Sonics in 1997, looking great doing so?


Can you please respond to the Hakeem G7 performance against Seattle? What do you see in the game suggesting that Hakeem couldn't deal with the Sonics pressure? Can you show the exact examples of that phenomena on the tape I provided?
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#109 » by lessthanjake » Sat Nov 30, 2024 3:41 pm

OhayoKD wrote:
And if that doesn’t work, you cook up some creative “extraps”

Cook up, huh? You mean like when you were upset WOWY and RAPM doesn't potray Jokic as a comparable peak to Lebron, created your own filter for WOWY, compared uneven time frames(4 years to five), and then...ignored the best 5-year signal for Lebron because it still put him above Jokic?


This is off topic (and, to be clear, I’m perfectly comfortable resting on my prior posts for purposes of the actual topic at hand), but I do want to note that this sort of thing is why it’s so clear that you’re not discussing in good faith. You have it *repeatedly* explained to you that a 5-year span instead of a 4-year span was used for LeBron because it *helps* him (since 2009 and 2013 are amongst his best years and are 5 years apart), and yet you still make posts like this. This was pre-emptively explained literally from the very first post you are referring to, before you even had responded. So, honestly, you shouldn’t have even made any posts that required explaining this to you again. But you did. And I explained it to you multiple times. You *must* know the above attack to be wildly misleading, but it apparently doesn’t matter to you, because I guess trying to say things to discredit people who disagree with you is the most important thing to you, regardless of whether those things are obviously wildly misleading.

Just for posterity for others, here’s links to at least some of the posts where I explained this (and also addressed the other suggestions being made here—I highly encourage people to read the whole exchange if they’re curious), including the initial post:

https://forums.realgm.com/boards/viewtopic.php?p=112905068#p112905068

Spoiler:
To begin with, we have to define what the peak timeframe of these players is. For Jokic, I think it’s obvious that his peak started in 2020-2021 and goes to the present. For LeBron, the question is perhaps tougher. But I think the obvious answer is to take the 2009-2013 time period. This is the obvious reference point, since it spans the two years that are most commonly considered LeBron’s best individual seasons, and also spans all his MVP-winning years. And this is generally corroborated as LeBron’s peak timeframe by posters here—for instance, I just responded to a post in another thread, in which LukaTheGOAT specifically said “the heart of Lebron's prime was from 09-13.” So we will use that. Granted, this means we are using a 4-year timeframe for Jokic and a 5-year timeframe for LeBron, but because 2009 and 2013 are pretty consistently amongst LeBron’s very best years in the data, using a 5-year timeframe for him is typically better than if we took a 4-year peak instead (not to mention that Jokic’s peak isn’t over so it’s not like he actually has a demonstrably shorter peak).


https://forums.realgm.com/boards/viewtopic.php?p=113150723#p113150723

Spoiler:
You can complain that I used 5 years for LeBron and only 4 years for Jokic, but, as I explicitly explained in that post, that was done to *help* LeBron, because 2009 and 2013 are two of his very best years, so taking a 5-year peak for LeBron is better for him than if I compared 4-year peaks for both.


https://forums.realgm.com/boards/viewtopic.php?p=113194757#p113194757

Spoiler:
This is absurd. You make this response while ignoring the fact that my post explicitly pointed out that I took a 5-year span for LeBron because, on balance across all data, that’s actually generally *better* for LeBron than taking any 4-year span would be (since 2009 and 2013 are great seasons and can’t both be in a 4-year span). Not only did I explicitly point that out in the post you responded to here (a part that you conveniently didn’t quote or respond to), but I’d already pointed out that exact same thing in the underlying post I made with the data we are talking about. So I have made this point multiple times now, and you just ignore it. And then it’s you that accuses me of “agenda-motivated stat-work.” Wild stuff. If you want me to compare Jokic’s last four years to LeBron’s peak four years, I’m happy to do so. Just tell me what four years you want to look at across all data. 2009 to 2012, or 2010 to 2013? Either way, on balance, the data picture is not going to look better overall for LeBron than the 2009-2013 time period did, so it’s really not going to be generally helpful to you.


Each time I’ve explained this, you’ve completely ignored it and then decided to keep making the same clearly refuted attack. This is just the latest example. This is not the behavior of a good faith actor.

To be clear, this isn’t to open up this thread to a discussion of Jokic and/or LeBron. While you raised my analysis on that as a bad faith attempt to attack me, those players are not actually relevant to this thread and should not become the focus of any discussion. If you want to substantively discuss that underlying Jokic/LeBron analysis I did, you are free to raise it in a more appropriate thread. My point is just to note how this example illustrates how clear it is that you are not operating in good faith.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#110 » by Djoker » Sat Nov 30, 2024 4:52 pm

OhayoKD wrote:
Djoker wrote:
OhayoKD wrote:Uh, no:
Spoiler:
They're the same type of data. Humans choose what to count and then put weights on what they've counted, That decades were spent enshrining a narrow set of approaches as objectively valuable does not magically give the formulas and inputs you prefer inherent value and pretending it does would get you discredited in any space with an ounce of serious academic rigor.

Beyond the extent you can justify the approach or weightings vs approaches/weightings that favor alternative players, your formulas are not legitimate evidence.

IBM of course is not a few games, Lebronny's tracking covers multiple years of full playoff runs. If sample size is the issue, then the solution is to increase the sample, not keep reinforcing a set of priors that have never been seriously tested because they produce outputs you find convenient.

I know this is tough for people to wrap their mind around, but Jordan's all-in-one parity means like...nothing outside of vibes lol


Even if for some reason you want to wave away all box score information, the impact data with 79 Bulls games sampled paints Jordan in a very strong light.

His raw ON-OFF is very strong.


It certainly looks better for him than what we see over full games the next 2 years. There's no comparison here vs Hakeem though.


Player whose team's sample is twice as large as anyone else's (5 times larger than Hakeem's) leads, shocker.


Oh ok so you're waving everything away. Your wings... um hands... must be getting tired.

We have full data ON-OFF from Pollack so we have RAPM for the 1994-1996 period and Hakeem doesn't look that good either.

1994: 4.03 RAPM - 4th behind Robinson, Willis, Malone
1995: 3.44 RAPM - 6th behind Robinson, Shaq, Malone, Hardaway, Pippen
1996: 3.04 RAPM - 11th behind Jordan, Robinson, Hardaway, Pippen, Malone, Stockton, Shaq, Kukoc, Hill, Grant

Nothing that shows some force majeure type of impact here. Jordan on the other hand has the highest career playoff ON-OFF with a full sample, one of if not the highest regular season ON-OFF with a partial sample and leads in partial sample RAPM in 1988, 1991, 1993, 1996 as well in full sample RAPM in 1997.

Hakeem is a better player than Robinson and Malone because those two guys shrink in the PS while Hakeem rises in the PS but compared to Jordan, there just isn't a very serious case to be made whether you use box score or impact data.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#111 » by lessthanjake » Sat Nov 30, 2024 5:09 pm

Djoker wrote:
OhayoKD wrote:
Djoker wrote:

It certainly looks better for him than what we see over full games the next 2 years. There's no comparison here vs Hakeem though.


Player whose team's sample is twice as large as anyone else's (5 times larger than Hakeem's) leads, shocker.


Oh ok so you're waving everything away. Your wings... um hands... must be getting tired.

We have full data ON-OFF from Pollack so we have RAPM for the 1994-1996 period and Hakeem doesn't look that good either.

1994: 4.03 RAPM - 4th behind Robinson, Willis, Malone
1995: 3.44 RAPM - 6th behind Robinson, Shaq, Malone, Hardaway, Pippen
1996: 3.04 RAPM - 11th behind Jordan, Robinson, Hardaway, Pippen, Malone, Stockton, Shaq, Kukoc, Hill, Grant

Nothing that shows some force majeure type of impact here. Jordan on the other hand has the highest career playoff ON-OFF with a full sample, one of if not the highest regular season ON-OFF with a partial sample and leads in partial sample RAPM in 1988, 1991, 1993, 1996 as well in full sample RAPM in 1997.

Hakeem is a better player than Robinson and Malone because those two guys shrink in the PS while Hakeem rises in the PS but compared to Jordan, there just isn't a very serious case to be made whether you use box score or impact data.


One thing I’d note is that, despite having full on-off data, I don’t think we really have RAPM for 1994-1996, because we don’t actually know all the lineup iterations at all times like we would need to in order to have RAPM. Am I missing something? I seem to vaguely recall that there is something floating out there for those years that styles itself as “RAPM” but isn’t actually RAPM.

Regarding the point about Squared’s partial samples, I do think there’s a valid point that players that happen to have larger samples can be advantaged, because the prior in Squared’s analysis is 0, so if the sample is too small then it basically won’t have enough data to have moved as far away from the 0 prior as it should. So, as the sample for a great player stops being small, we will tend to see the RAPM increase. This isn’t some infinite effect, though. Obviously, a player’s RAPM doesn’t just go up constantly as you increase the sample. This stabilizes when it has a decent-sized sample (though obviously random noise is still at play), which is probably why multi-year RAPM values aren’t just inevitably higher than single-year RAPM values. So this isn’t some always-applicable excuse. And that’s an important point here. As I once noted on this topic particularly regarding Hakeem, when this argument was brought up about the multi-year RAPM that Squared put together:

Spoiler:
We have like a full season’s worth of games for Hakeem in Squared’s sample. Again, the point you’ve noted about larger sample sizes helping players is certainly a relevant thing when there’s no prior because it will take time for a great player’s RAPM to get up to where it should be, but star players’ RAPM doesn’t just keep going up infinitely as you add more games. Squared’s stuff is incomplete and not conclusive, but I think we can make a very good inference that it’s not just a sample-size-with-no-prior thing when we have like a full season’s worth of games for Hakeem and his RAPM is still only a bit above half Jordan’s. Furthermore, we also have Engelmann’s quarter-by-quarter RAPM approximation for the 1990s, which has Jordan *way* above Hakeem. We also have actual RAPM from 1997 and 1998, which has Jordan way above Hakeem. Granted, I think we could validly define 1998 as not a prime year for Hakeem, but 1997 definitely still was and their RAPM wasn’t close. We also have WOWYR putting Jordan way above Hakeem, as well as Jordan doing better in Moonbeam’s related analysis. The bottom line is that, while we certainly don’t have perfect impact data for them, we have enough to say that the impact data seems to validate the public perception from the time period that it wasn’t particularly close.


Spoiler:
The bottom line is that if Hakeem were similar to Jordan in RAPM, we’d expect him to be substantially closer in the Squared data, given the size of the sample we have for Hakeem. It’s not some tiny sample where there’s not enough games for the model to at all figure out how impactful he is. Just for reference, the individual season RAPM that Squared has done for Jordan includes lots of seasons where the sample for Jordan in terms of possessions is similar or smaller than the overall sample he has for Hakeem. And, aside from in Jordan’s rookie season with a sample size less than half of Hakeem’s overall sample, Jordan’s single-season RAPM is still always higher than what Hakeem has in Hakeem’s overall sample (and Jordan’s very close even in that rookie year). For instance, Jordan’s 1988 RAPM is up at +7.47, despite having just 3595 possessions in the sample, compared to Hakeem’s +5.43 in 6066 possessions in the overall sample. Granted, it’s a bit problematic to compare precise numbers spit out by two different regressions, but it’s pretty clearly possible in Squared’s RAPM calculations to have notably higher RAPM than Hakeem got overall, in similar or smaller samples than he has for Hakeem. Which strongly suggests that Jordan being far ahead isn’t just a result of Hakeem having a smaller sample. Obviously Squared’s stuff always comes with the caveat that it’s partial data so isn’t conclusive, but we can certainly draw a fairly good probabilistic inference from what we have that Hakeem wasn’t nearly as impactful as Jordan. And that’s especially true when we look at it in context with all the other data we have that says similar things, discussion of which you conspicuously cut from your quote of me under the guise of making an immature snarky comment. And this data backs up what should be our baseline prior that Jordan was substantially better, based on contemporaneous perception of the two at the time.


Relatedly, we have the fact that Squared’s individual-season data has similarly large samples for Magic as for Jordan in seasons where their primes overlapped. Obviously, this isn’t the case for 1993 because Magic didn’t play, but it’s worth noting that Jordan’s Squared RAPM was higher than Magic’s in 1988, despite the fact that the sample for Magic was larger. And that’s in a year where this renewed POY vote gave Magic the POY. Meanwhile, in Squared’s 1991 RAPM, Jordan has a larger sample than Magic but not by much, and Jordan’s RAPM is way higher (60% higher). And that’s in a year where the poster you’re responding to voted Magic over Jordan. I mention this stuff about Magic because I think we can all recognize that Magic Johnson is almost certainly an impact monster, and yet Squared’s RAPM had prime Jordan above prime Magic, with this sample-size argument clearly not being the reason.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#112 » by penbeast0 » Sat Nov 30, 2024 6:54 pm

OK, enough. Both of you are busy taking shots at each other and it's getting in the way of the discussion.
If you want to call each other biased and prejudiced, get another channel or do it by PM. Leave this thread for those who want to discuss1993.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#113 » by OhayoKD » Sat Nov 30, 2024 7:07 pm

lessthanjake wrote:
OhayoKD wrote:
And if that doesn’t work, you cook up some creative “extraps”

Cook up, huh? You mean like when you were upset WOWY and RAPM doesn't potray Jokic as a comparable peak to Lebron, created your own filter for WOWY, compared uneven time frames(4 years to five), and then...ignored the best 5-year signal for Lebron because it still put him above Jokic?

This is off topic (and, to be clear, I’m perfectly comfortable resting on my prior posts for purposes of the actual topic at hand), but I do want to note that this sort of thing is why it’s so clear that you’re not discussing in good faith. You have it *repeatedly* explained to you that a 5-year span instead of a 4-year span was used for LeBron because it *helps* him (since 2009 and 2013 are amongst his best years and are 5 years apart)


13/14-16/17 Lebron teams without Lebron if we filter out games without at the end of the season:
5-19 (17-win pace)

13/14-16/17 Lebron teams with Lebron
171-61 with (60-win pace)

43-win lift

07/08-2010/2011 Lebron teams without Lebron if we filter out games without at the end of the season:
1-9 (8-win pace)

07/08-2010/2011 Lebron teams with Lebron
228-83 (60-win pace)

52-win lift

The Sample Lessthanjake chose
08/09-2012/2013 Lebron teams without Lebron if we filter out games without at the end of the season
2-3 (33-win pace)

08/09-2012/2013 Lebron teams with Lebron
386-140 (59-win pace)

26-win lift

I'll let posterity decide how they want to interpret that
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#114 » by OhayoKD » Sat Nov 30, 2024 7:09 pm

penbeast0 wrote:OK, enough. Both of you are busy taking shots at each other and it's getting in the way of the discussion.
If you want to call each other biased and prejudiced, get another channel or do it by PM. Leave this thread for those who want to discuss1993.

Saw this after i posted. I'll stop now, sorry
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#115 » by OhayoKD » Sat Nov 30, 2024 7:15 pm

Djoker wrote:
OhayoKD wrote:
Djoker wrote:

It certainly looks better for him than what we see over full games the next 2 years. There's no comparison here vs Hakeem though.


Player whose team's sample is twice as large as anyone else's (5 times larger than Hakeem's) leads, shocker.


Oh ok so you're waving everything away. Your wings... um hands... must be getting tired.

Not going to engage further with credibility whatever per Pen's orders, but this is just a matter of using RAPM properly:
Bad Gatorade wrote:And yeah, the fact that it seems like this data is very Jordan centric in terms of game sampling means that there's more confidence in letting Jordan stray from the mean


When we have actual RAPM, use it to your heart's content. Currently we don't. Jordan-dominated samples liking Jordan is circular-reasoning at this point.
We have like a full season’s worth of games for Hakeem in Squared’s sample.

A season's worth of games is nowhere near enough to stabilize and as has been noted, applying a similar sampling distributions and process for other players with full rapm out led to big jumps. When we have similar data for everyone, this becomes useful. Right now it's not.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#116 » by Special_Puppy » Sat Nov 30, 2024 7:33 pm

lessthanjake wrote:
Djoker wrote:
OhayoKD wrote:It certainly looks better for him than what we see over full games the next 2 years. There's no comparison here vs Hakeem though.


Player whose team's sample is twice as large as anyone else's (5 times larger than Hakeem's) leads, shocker.


Oh ok so you're waving everything away. Your wings... um hands... must be getting tired.

We have full data ON-OFF from Pollack so we have RAPM for the 1994-1996 period and Hakeem doesn't look that good either.

1994: 4.03 RAPM - 4th behind Robinson, Willis, Malone
1995: 3.44 RAPM - 6th behind Robinson, Shaq, Malone, Hardaway, Pippen
1996: 3.04 RAPM - 11th behind Jordan, Robinson, Hardaway, Pippen, Malone, Stockton, Shaq, Kukoc, Hill, Grant

Nothing that shows some force majeure type of impact here. Jordan on the other hand has the highest career playoff ON-OFF with a full sample, one of if not the highest regular season ON-OFF with a partial sample and leads in partial sample RAPM in 1988, 1991, 1993, 1996 as well in full sample RAPM in 1997.

Hakeem is a better player than Robinson and Malone because those two guys shrink in the PS while Hakeem rises in the PS but compared to Jordan, there just isn't a very serious case to be made whether you use box score or impact data.


One thing I’d note is that, despite having full on-off data, I don’t think we really have RAPM for 1994-1996, because we don’t actually know all the lineup iterations at all times like we would need to in order to have RAPM. Am I missing something? I seem to vaguely recall that there is something floating out there for those years that styles itself as “RAPM” but isn’t actually RAPM.

Regarding the point about Squared’s partial samples, I do think there’s a valid point that players that happen to have larger samples can be advantaged, because the prior in Squared’s analysis is 0, so if the sample is too small then it basically won’t have enough data to have moved as far away from the 0 prior as it should. So, as the sample for a great player stops being small, we will tend to see the RAPM increase. This isn’t some infinite effect, though. Obviously, a player’s RAPM doesn’t just go up constantly as you increase the sample. This stabilizes when it has a decent-sized sample (though obviously random noise is still at play), which is probably why multi-year RAPM values aren’t just inevitably higher than single-year RAPM values. So this isn’t some always-applicable excuse. And that’s an important point here. As I once noted on this topic particularly regarding Hakeem, when this argument was brought up about the multi-year RAPM that Squared put together:

Spoiler:
We have like a full season’s worth of games for Hakeem in Squared’s sample. Again, the point you’ve noted about larger sample sizes helping players is certainly a relevant thing when there’s no prior because it will take time for a great player’s RAPM to get up to where it should be, but star players’ RAPM doesn’t just keep going up infinitely as you add more games. Squared’s stuff is incomplete and not conclusive, but I think we can make a very good inference that it’s not just a sample-size-with-no-prior thing when we have like a full season’s worth of games for Hakeem and his RAPM is still only a bit above half Jordan’s. Furthermore, we also have Engelmann’s quarter-by-quarter RAPM approximation for the 1990s, which has Jordan *way* above Hakeem. We also have actual RAPM from 1997 and 1998, which has Jordan way above Hakeem. Granted, I think we could validly define 1998 as not a prime year for Hakeem, but 1997 definitely still was and their RAPM wasn’t close. We also have WOWYR putting Jordan way above Hakeem, as well as Jordan doing better in Moonbeam’s related analysis. The bottom line is that, while we certainly don’t have perfect impact data for them, we have enough to say that the impact data seems to validate the public perception from the time period that it wasn’t particularly close.


Spoiler:
The bottom line is that if Hakeem were similar to Jordan in RAPM, we’d expect him to be substantially closer in the Squared data, given the size of the sample we have for Hakeem. It’s not some tiny sample where there’s not enough games for the model to at all figure out how impactful he is. Just for reference, the individual season RAPM that Squared has done for Jordan includes lots of seasons where the sample for Jordan in terms of possessions is similar or smaller than the overall sample he has for Hakeem. And, aside from in Jordan’s rookie season with a sample size less than half of Hakeem’s overall sample, Jordan’s single-season RAPM is still always higher than what Hakeem has in Hakeem’s overall sample (and Jordan’s very close even in that rookie year). For instance, Jordan’s 1988 RAPM is up at +7.47, despite having just 3595 possessions in the sample, compared to Hakeem’s +5.43 in 6066 possessions in the overall sample. Granted, it’s a bit problematic to compare precise numbers spit out by two different regressions, but it’s pretty clearly possible in Squared’s RAPM calculations to have notably higher RAPM than Hakeem got overall, in similar or smaller samples than he has for Hakeem. Which strongly suggests that Jordan being far ahead isn’t just a result of Hakeem having a smaller sample. Obviously Squared’s stuff always comes with the caveat that it’s partial data so isn’t conclusive, but we can certainly draw a fairly good probabilistic inference from what we have that Hakeem wasn’t nearly as impactful as Jordan. And that’s especially true when we look at it in context with all the other data we have that says similar things, discussion of which you conspicuously cut from your quote of me under the guise of making an immature snarky comment. And this data backs up what should be our baseline prior that Jordan was substantially better, based on contemporaneous perception of the two at the time.


Relatedly, we have the fact that Squared’s individual-season data has similarly large samples for Magic as for Jordan in seasons where their primes overlapped. Obviously, this isn’t the case for 1993 because Magic didn’t play, but it’s worth noting that Jordan’s Squared RAPM was higher than Magic’s in 1988, despite the fact that the sample for Magic was larger. And that’s in a year where this renewed POY vote gave Magic the POY. Meanwhile, in Squared’s 1991 RAPM, Jordan has a larger sample than Magic but not by much, and Jordan’s RAPM is way higher (60% higher). And that’s in a year where the poster you’re responding to voted Magic over Jordan. I mention this stuff about Magic because I think we can all recognize that Magic Johnson is almost certainly an impact monster, and yet Squared’s RAPM had prime Jordan above prime Magic, with this sample-size argument clearly not being the reason.


Apologize if this has been linked already, but the entire Squared2020 RAPM sample also has Jordan comfortable in number 1. Jordan has the largest sample though so there’s the caveat he’s getting regularized the least
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#117 » by Cavsfansince84 » Sat Nov 30, 2024 8:01 pm

I think the issue is we are trying to solve many of these comparisons with data that is very incomplete. That's not going to be a fool proof or entirely convincing way to do it. None of us are new to these comparisons or the data that can support them for the most part. I think this would work better if people made their own points and there wasn't an appeal to just incomplete data or box score composites as a form of rebuttal. You can't use something like box score composites to compare a center who has a case for being the most impactful defender after Russell to a guard who scores a lot and likely got way too many dpoy votes. It created the illusion that they are similar defensively imo which is part of the problem in comparing these guys 30 years later. There's going to be some gray area that each voter or poster has to fill in in whichever way they like in these discussions. More so the less reliable data we have(which is never going to check every box that people vote according to anyhow). Same as how people will weigh a guy winning a ring in a given year differently also.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#118 » by lessthanjake » Sat Nov 30, 2024 8:25 pm

OhayoKD wrote:
We have like a full season’s worth of games for Hakeem in Squared’s sample.

A season's worth of games is nowhere near enough to stabilize and as has been noted, applying a similar sampling distributions and process for other players with full rapm out led to big jumps. When we have similar data for everyone, this becomes useful. Right now it's not.


I think you may be conflating concepts here a bit. A season’s worth of games is definitely not enough to “stabilize” RAPM for purposes of minimizing random variance. But we aren’t talking about random variance. We’re talking about how long it takes for it to stabilize in terms of moving a player’s RAPM from the 0 prior to the general vicinity of where they belong. That’s not about random variance at all—quite the opposite actually. It’s a fundamentally different concept.

And a single season’s worth of data is a pretty good amount for these purposes. If it wasn’t then we’d expect the top pure RAPM numbers in a given year to be consistently higher as we expand out the number of years being analyzed. And we don’t really see that. Take, for instance this website, which is pure RAPM (without any priors, just like Squared’s RAPM) that conveniently allows us to filter the top players by one-year, three-year, and five-year RAPM: https://thebasketballdatabase.com/2016-17RegularSeasonPlayerRAPMComprehensive.html. Obviously the exact details will depend on the year we look at and there’s random variance at play here, but if you peruse the years you’ll find that the top values for one-year RAPM are generally very similar to the top values for three-year and five-year RAPM. This is suggestive of one season being enough to generally stabilize RAPM for purposes of getting star players up to the general area they belong. I think arguably if they’re generally similar values, we *might* posit that the effect you identify is still at play to some minor degree in the one-year data, since we might expect the top three-year and five-year RAPMs to be a little lower on average, since one-year peaks will generally be a little better than three-year and five-year peaks. And that’s probably consistent with Jordan’s multi-year Squared RAPM being higher than his individual-season Squared RAPMs. Combining the samples has resulted in Jordan’s value being higher. But I don’t think we see much of anything that would suggest that this effect makes a big enough difference to explain why Hakeem’s Squared RAPM with about a season’s worth of data is only just over half what Jordan’s is (see Special_Puppy’s post with the chart). Pure RAPM stabilizes enough after having a season’s worth of data that it’s not very likely that being that far behind is a mere product of having a smaller sample of data (and, backing up this point, I note that Jordan has multiple years of smaller-sample single season Squared RAPM that is higher than Hakeem’s number there that has a larger sample, though obviously that’s comparing exact values in the output of different regressions).

And this effect not being a mere product of a smaller sample of data is also consistent with other similar metrics showing Jordan as more impactful, so we shouldn’t be surprised. As I’ve noted, we also have Engelmann’s quarter-by-quarter RAPM approximation for the 1990s, which has Jordan *way* above Hakeem. We also have actual RAPM from 1997 (and 1998, FWIW, though that’s post-prime for Hakeem), which has Jordan way above Hakeem. I could go on, and of course that’s all consistent with contemporaneous perception as well. There’s not really much ambiguity here, and we shouldn’t be surprised that the Squared RAPM data shows Jordan clearly above Hakeem or try overly hard to come up with excuses for it. It’s consistent with other RAPM and RAPM-like data we have for these players.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#119 » by OhayoKD » Sat Nov 30, 2024 8:39 pm

lessthanjake wrote:
OhayoKD wrote:
We have like a full season’s worth of games for Hakeem in Squared’s sample.

A season's worth of games is nowhere near enough to stabilize and as has been noted, applying a similar sampling distributions and process for other players with full rapm out led to big jumps. When we have similar data for everyone, this becomes useful. Right now it's not.


I think you may be conflating concepts here a bit. A season’s worth of games is definitely not enough to “stabilize” RAPM for purposes of minimizing random variance. But we aren’t talking about random variance. We’re talking about how long it takes for it to stabilize in terms of moving a player’s RAPM from the 0 prior to the general vicinity of where they belong. That’s not about random variance at all—quite the opposite actually. It’s a fundamentally different concept.

And a single season’s worth of data is a pretty good amount for these purposes. If it wasn’t then we’d expect the top pure RAPM numbers in a given year to be consistently higher as we expand out the number of years being analyzed. And we don’t really see that. Take, for instance this website, which is pure RAPM (without any priors, just like Squared’s RAPM) that conveniently allows us to filter the top players by one-year, three-year, and five-year RAPM: https://thebasketballdatabase.com/2016-17RegularSeasonPlayerRAPMComprehensive.html. Obviously the exact details will depend on the year we look at and there’s random variance at play here, but if you peruse the years you’ll find that the top values for one-year RAPM are generally very similar to the top values for three-year and five-year RAPM.

Of the top 10 in your site, 7 see at least a >1 point drop from 1-year to 5 year and 3 see a >2 point drop. (2 see <.5 increases). These results look pretty different from 1 year to 5 year and those are full samples where it's available for everyone.
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Re: Retro Player of the Year 1992-93 UPDATE 

Post#120 » by lessthanjake » Sat Nov 30, 2024 8:52 pm

OhayoKD wrote:
lessthanjake wrote:
OhayoKD wrote:
Cook up, huh? You mean like when you were upset WOWY and RAPM doesn't potray Jokic as a comparable peak to Lebron, created your own filter for WOWY, compared uneven time frames(4 years to five), and then...ignored the best 5-year signal for Lebron because it still put him above Jokic?

This is off topic (and, to be clear, I’m perfectly comfortable resting on my prior posts for purposes of the actual topic at hand), but I do want to note that this sort of thing is why it’s so clear that you’re not discussing in good faith. You have it *repeatedly* explained to you that a 5-year span instead of a 4-year span was used for LeBron because it *helps* him (since 2009 and 2013 are amongst his best years and are 5 years apart)


13/14-16/17 Lebron teams without Lebron if we filter out games without at the end of the season:
5-19 (17-win pace)

13/14-16/17 Lebron teams with Lebron
171-61 with (60-win pace)

43-win lift

07/08-2010/2011 Lebron teams without Lebron if we filter out games without at the end of the season:
1-9 (8-win pace)

07/08-2010/2011 Lebron teams with Lebron
228-83 (60-win pace)

52-win lift

The Sample Lessthanjake chose
08/09-2012/2013 Lebron teams without Lebron if we filter out games without at the end of the season
2-3 (33-win pace)

08/09-2012/2013 Lebron teams with Lebron
386-140 (59-win pace)

26-win lift

I'll let posterity decide how they want to interpret that


I’ll keep this perfectly friendly and just say that, as you know, the analysis I did was for over 10 different metrics not just the one you talk about above, and I made very clear that I used that specific five-year span for LeBron specifically because it was most helpful to him “on balance across all data.” It’s not at all surprising that a given timespan being used across 10+ different metrics won’t be the best timespan for that player in every single one of those metrics, but that doesn’t mean it’s not the best timespan for that player on balance across the entire set of metrics. In this case, it was. I repeatedly asked if you wanted me to run the data across a different timeframe of your choosing instead (while noting that I was quite certain it wouldn’t lead to better results on balance), but you never did take me up on that offer. You instead wanted me to compare data from a fixed timeframe for one player with data from a floating timeframe for another player where you’d pick and choose what timeframe to use for each metric based on what timeframe was best for that player in that particular metric. I explained in the posts I linked earlier in this thread that that would create a Frankenstein data picture that never actually coexisted (and would just leverage as much positive variance as possible for your preferred player), and is therefore contrary to actually comparing peak to peak. I didn’t really get a substantive response to that, and that’s where the discussion left off. If you want to reprise that conversation (hopefully in a friendly and productive way), feel free to respond about it in one of the threads in which that was previously discussed and would be much more on topic. In my prior post, I linked two threads where I discussed this stuff, so those could be options for you to do so, if you so choose. And either way, I think there’s other more on-topic things that can be discussed here, including a post I made above.
OhayoKD wrote:Lebron contributes more to all the phases of play than Messi does. And he is of course a defensive anchor unlike messi.

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