RealGM 2023 Top 100 Project - #10 (Magic Johnson)

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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#141 » by lessthanjake » Mon Jul 31, 2023 6:36 am

HeartBreakKid wrote:
lessthanjake wrote:
f4p wrote: either he's so far an away the best regular season player ever that he can fall off this much and still be amazing, or the guy just really fell off the in the playoffs for almost all of his peak.


Considering that his impact profile in the playoffs remains very elite, perhaps it’s actually the former. Or maybe the box stats you’re referencing here don’t tell the whole story with Steph (they definitely don’t) and teams game plan to try to limit Steph more in the playoffs (they do) such that his box-score impact gets lessened a little by the gameplanning but his non-box-score impact gets heightened. Either way, I don’t think “This guy’s box score stats go down a bit in the playoffs but he still has massive playoff impact and had immense playoff success” is as much a negative as you think it is.


Don't teams do the same for every great player? That's essentially what resilience is, no?


Yes, to some degree they do. And Steph is resilient in the playoffs, since he has huge impact in the playoffs, and his teams always have a positive ORTG relative to the opposing team’s defensive rating (with the only exception I’ve seen being against the Lakers this past playoffs—who had a defense by playoff time that wasn’t accurately described with their season-long defensive rating). If teams gameplan for Steph in the playoffs, and the result is that he still has big impact and his team’s offenses are essentially never subpar in any series, then I’m not sure why we should say he’s not resilient in the playoffs due to some box score numbers going down. I’m not aware of any all-time great whose teams have so consistently had a positive rORTG compared to the opposing team’s defensive rating as Steph has. The list of players that I know have had their teams have a negative rORTG more often than Steph in the playoffs include names like Magic, LeBron, Jordan, Kareem, Shaq, and Hakeem.
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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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#142 » by 70sFan » Mon Jul 31, 2023 6:54 am

iggymcfrack wrote:Meanwhile, Magic is almost universally regarded as a poor defender with the range being from a little below average to downright being a liability.

That's not true at all, plenty of people view Magic as average defender overall, with some seasons ranking higher and some lower.

If your opinion about Magic's defense is so strong, could you make a case for him being a defensive liability? I have never seen any study that would suggest anything like that.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#143 » by eminence » Mon Jul 31, 2023 7:06 am

Voting Post

Vote #1: Magic Johnson
Vote #2: George Mikan

Nominate: Oscar Robertson


Magic - comparable peak to anyone remaining, arguably the offense only GOAT (I'd side with LeBrons longevity), team accomplishment through the roof, not that poor of defender (I think of he/Kobe/Steph as all within touching distance of one another on this ballot), missing some longevity - but the core value seasons are still there. Negative - played in a weak conference through his career.

Mikan - I said comparable peak to anyone remaining for Magic above, but that's not really true. '48-'50 Mikan is on a different level from anyone else in history in any sort of deviations from the average approach. In his other 5 seasons 'only' a solid MVP/best player in the league level, that any other player would be happy to reach for sustained stretch, leading 4 titles in 5 years, only falling when notably injured.

Oscar - beats out West in RS accomplishment/durability, West closes based off PO accomplishment, but I feel that was more of an opportunity situation, with the East significantly more loaded in that period (somewhat similar to the 80s) and preferring the Lakers cast over the years.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#144 » by f4p » Mon Jul 31, 2023 9:26 am

Voting
1. Magic Johnson

Nominate
Jerry West

if i was the only one who could vote (a man can dream), i would've voted magic #5. but since that clearly wasn't the direction the project was going, i voted for hakeem, and hakeem ended up exactly where i would have had him anyway at #6.

with magic, i am one of the ones who doesn't really hold his longevity against him. he retired for a completely unique reason in nba history. he wasn't injured, his skills didn't deteriorate. he was still excellent. his numbers as an overweight 36 year old after 4 years off tell me he would have almost certainly been excellent well into his mid-30's.

he started off as a 20 year old rookie. and far from a slow start, with an nba finals clinching game in front of him, with Cap not playing, he put up a 42/15/7 masterpiece to lead his team to victory. does that overstate how great he was early in his career?
sure. but it showed his ceiling in any given game was already tremendously high. it seemed to show a flair for the moment and the big stage right from the very start. and at 31 he was still taking a team to the finals without kareem. the year after winning 63 games without kareem. he basically non-stop led top tier, and often #1, offenses for basically his whole career. even after kareem retired.

5 titles in 9 years, the driving force for most of them. showed the tiniest indication of a dip in 1991 (to be expected at 31), but give or take in line with his peak years and almost certain to have 14+ years of very good to all-time play if not for the retirement. the best player of his decade.

- by my normalized box calculation, basically the same in the playoffs as the regular season so no dip.
- 28-4 as an SRS favorite
- 4-4 as an SRS underdog but 6 of those are <2 SRS underdog so not much to write home about
- like tim duncan, average loss is as a favorite so a little reason to hold him back there
- should not have lost to the rockets in 1986 and really not in 1981 even if he was injured. if lebron had it easy making 8 straight finals in the east, the lakers had it even easier and couldn't match that.
- on the other hand, 5 actual titles vs 2.5 expected titles, one of the higher deltas out there.

did he have a ton of talent to help him? most definitely. one of the great "per year" franchise situations ever. drafted with kareem on the team. an entire other #1 overall pick in james worthy (who lived up to his #1 pick status) added just 3 years later. an embarrassment of riches. which is why there had better have been a lot of winning. and there was. 50 wins every season. 9 finals appearances. already showing greatness at age 20 and still going very strong and making the finals at age 31.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#145 » by Jaivl » Mon Jul 31, 2023 2:10 pm

Spoiler:
DraymondGold wrote:Finally getting the chance to follow back up on the rate metrics vs per-season metrics. Apologies for the delay! I figured I'd reply to this in the new thread, since Curry is on pace to be in the top two players with Magic. Magic seems like the favorite to win (and I may end up voting for Magic first), but there still are arguments one could make for Curry. I'll make two of them here.

Per 100 Possession metrics vs Total Season metrics for Curry
OhayoKD wrote:Uh...how?

Is the rate he is outscoring them per possession likely to increase?
Are his replacements going to look better if they less time against opposing starters?

I recall 2020 Giannis barely playing in the fourth quarter. Does not seem to have been a positive influence on his impact to not be in those circumstances anymore.

Fair enough to point out that Steph *could* maybe theoretically maintain a similar rate with more time played… but at that point it is a question of confidence.

Presenting these lower minutes as some sort of disadvantage seems like a stretch.
Uh… how? Read the rest of the post! Lol

-Is his per season value going to go up if he plays more fourth quarters? Yes.
-Is the rate he is outscoring them per possession likely to increase? I provided reasoning that it won’t decrease, and has a chance to increase.
-Are his replacements going to look better if they less time against opposing starters? These are adjusted metrics, not raw ones, so they adjust for opponents on the court. Regardless, the point is that Curry is resting in blowouts, when the opposing starters would also be resting. In which case if opponents would have any affect, Curry would be playing more minutes against non starters anyway.

You recall Giannis resting a bunch of fourth quarters in 2020. That’s… not really true.

Number of Fourth Quarters Rested for some recent stars:
Garnett 2001–04: 4, 6, 2, 3 —> Average: 3.75 games a season
Giannis 2019–22: 5, 6, 6, 4 —> Average: 5.25 games a season
LeBron 2009–13: 14, 5, 8, 7, 9 —> Average: 8.6 games a season
Jokic 2020–23: 9, 15, 11, 10 —> Average: 11.25 games a season
Paul 2012–15: 7, 16, 10, 16 —> Average: 12.25
Curry 2015–18: 20, 19, 25, 18 —> Average: 20.5 games a season

So Curry rested 16.75 more fourth quarters *per season* than Garnett did! And nobody’s at all close. Not Giannis on his dominant teams (he rests 6 in 2020), certainly not Garnett who’s up for vote now.

And remember, Curry’s not just skipping more fourth quarters, his team is also dominant enough that he’s playing less in the fourth quarters he doesn’t miss (see previous post).

The rate comment was sort of supplemental to my point. But I wasn’t very clear about my point, so let me be more explicit:

-Jake provided (a wall of) stats that favor Curry over Garnett. Some of which were rate stats.
-You argued these rate stats overrate Curry and underrate Garnett because Garnett played more minutes/possessions than Curry, which makes up for the gap in the rate stats.

-I’m arguing that Curry’s teams were so dominant (in no small part because of Curry) that
1) Peak Curry missed far more fourth quarters entirely than any other star in this era [and provided clear evidence for this to be the case]
2) In the fourth quarters peak Curry did play, that he played fewer minutes than expected, which is again because his teams are so dominant [and provided clear evidence for this to be the case]

3) Therefore: some of the gap in per-season volume is from Curry’s missed fourth quarters.
Side Note: Curry played in a much faster era than Garnett. So Curry played more possessions per minute than Garnett. So Curry would be making up even more of the possession gap than the minute gap if he played in the 4th quarter. And the impact stats are usually per 100 possessions, not per 36 minutes.

4) We should only expect Curry’s total season value in these metrics to go up if he played more the fourth quarter, which he would have if he played on any other team that was less dominant.
One counter argument is that if he played more minutes, he would get more tired, so his per-100 rate would go proportionally, such that his per-season value remains roughly the same. This doesn’t seem to work in this situation. Why?
4i: First, there’s the obvious reason that’s he’s playing more. You’d expect volume to go up as minutes / possessions go up
4ii: Second, he’d be playing more at the end of the game. It’s not like he’d be playing more in the 2nd quarter, which might tire him out in the 3rd or 4th. We’d be adding minutes to the 4th quarter, so we could reasonably expect his performance in Quarters 1-3 to be fairly unchanged.
4iii: Third, he’d be playing more particularly in the games that were blowout victories for the Warriors, which correlate strongly with Curry’s better games with positive plus/minus. So he’d be playing more during his better games, when he’s hot, or when he’s already posting all-time level plus minus. Therefore we should expect awarding him more minutes in the 4th should increase his total season value.

Now here’s where we get into personal criteria. As above, people can have different criteria. I can understand penalizing someone (or at least not being willing to project value) for missed time due to injury, or sudden retirement, or something like that. But, me personally, I have a much harder time penalizing someone because their team was so good that they were in so many blowouts that they didn’t have to play that much.

It’s a very rare situation. It’s rare for someone to be on such a good team that they play notably fewer minutes, fewer possessions, than other stars of their caliber in their era. But if this is the case for a player, and if that player looks better in rate stats but slightly behind in total season value due to playing less possessions because they were in so many blowouts, I’m less interested in rating a player lower for that.

I’ve made the case that Curry fits in this situation. As such, I’m more willing to *slightly* mentally curve up his total-season value if he were in another situation, one where his Warriors weren’t so dominant that he got to rest in more 4th quarters than any other star in the modern era.

Curry's Career WOWY vs Garnett
OhayoKD wrote:
Ohayo, for someone who values WOWY so highly,

How highly though? If we were to look at my post arguing Kareem peaked higher than Micheal...
https://forums.realgm.com/boards/viewtopic.php?p=107462472#p107462472
...we can see WOWY, as you are using it, is merely a small chunk of the whole of my case.

As far as data goes, most of the post is directed towards years where there is no direct WOWY. And this is for Kareem, a player where we have very limited alternatives in terms of assessing impact. I have maintained that WOWY has use even when we have access to data like RAPM. If you thought that meant I rank players according to regular-season WOWY averages(and we barely even have WOWY for KG's best regular-seasons), that is on you.

I think real-world stuff is especially useful to compare outliers(2016, 2004, 2009 ect), or to examine why something is happening in the artifical-stuff(Duncan staggering minutes with Drob's bad replacements, Spurs not really affected by Manu's absence, ect), but on the flip-side, lineup-adjustment makes things less noisy and is useful for establishing a baseline over longer time-frames. FWIW, I do rank RS Steph's highs pretty highly, above the best years for players like Hakeem and Jordan. But the same is true for KG. So unless you are willing to make the case years like 2016 were on another level compared to KG's 2004 or 2003, we get into how they generally look(KG carries an overwhelming advantage in both of the extended rapm sets we have), how much of their value can be tied to situation(very strongly favors Garnett), and what they and their casts do in the playoffs(2004 beats out 2016 pretty handily on that both fronts imo).

Considering all of that, I'm left thinking KG was the better player. It is then we get to the longevity, and there, a reasonably close comparison turns into a lopsided one.

And as "low" as I am on Steph, I am still likely to vote him 11th or 12th. Ahead of Bird and possibly ahead of Kobe. But he is not the best "impact" candidate currently on the board. Nor is he the most successful. And I certainly do not see why skill-set analysis would put him ahead of an all-time two-way big and an all-time helio. Two archetypes that have generally established higher floors and ceilings than the likes of MJ, Steph or Bird. Steph is probably the pinnacle of his archetype, and I imagine he would just look better and better the more you teleport him back, but in an era-relative comparison, I do not see his case for 9.
Kg’s already voted in (and I was a voter for him), so no big disagreement on KG, but I do disagree on the explanation here for KG, as presented.

For someone who says “The main advantage of WOWY is that you can see what truly happens when a player is removed from a team.”, for someone who characterizes WOWY as the true measure of wholistic global impact, this portrayal of Steph seems just flat out incorrect.

Steph clearly has better WOWY than KG. *For his career*.

Here’s all the raw single season WOWY data for KG and Curry: [spoiler]in csv format:
KG,with MoV,games with, wihtout MoV,games without,raw WOWY,sample size (smaller sample of games),Season WOWY,
1996,-5.13,80,-14.5,2,9.37,2,749.6,
1997,-0.47,77,-17,5,16.53,5,1272.81,
1998,0.71,82,,0,0.71,0,58.22,
1999,0.57,47,-2.67,3,3.24,3,152.28,
2000,2.63,81,-6,1,8.63,1,699.03,
2001,1.62,81,-20,1,21.62,1,1751.22,
2002,3.21,81,17,1,-13.79,1,-1116.99,
2003,2.07,82,,0,,0,563.8866667, Use weighted average of 2001–2008 for total season WOWY during the missing 2003–05 years: 6.876666667
2004,5.49,82,,0,,0,563.8866667, Use weighted average of 2001–2008 for total season WOWY during the missing 2003–05 years: 6.876666667
2005,1.45,82,,0,,0,563.8866667, Use weighted average of 2001–2008 for total season WOWY during the missing 2003–05 years: 6.876666667
2006,-1.41,76,-7.83,6,6.42,6,487.92,
2007,-2.45,76,-19.17,6,16.72,6,1270.72,
2008,10.48,71,8.82,11,1.66,11,117.86,
2009,9.14,57,3.8,25,5.34,25,304.38,
2010,4.39,69,-0.23,13,4.62,13,318.78,
2011,5.38,71,5.27,11,0.11,11,7.81,
2012,3.13,60,-3.67,6,6.8,6,408,
2013,0.16,68,-2.23,14,2.39,14,162.52,
2014,-1.72,54,-4.46,28,2.74,28,147.96,
2015,-3.02,42,-2.73,40,-0.29,40,-12.18,
2015,0.8,5,-9.42,77,10.22,5,51.1,
2016,-2.61,38,-4.34,44,1.73,38,65.74,
,,,,,,,,
Curry,with,games with,wihtout,games without,raw WOWY,sample size (smaller sample of games),Season WOWY,
2010,-3.43,80,-10.5,2,7.07,2,565.6,
2011,-1.96,74,-5.75,8,3.79,8,280.46,
2012,-0.54,26,-5.28,40,4.74,26,123.24,
2013,1.04,78,-2,4,3.04,4,237.12,
2014,5.21,78,-3,4,8.21,4,640.38,
2015,10.56,80,-8.5,2,19.06,2,1524.8,
2016,11.35,79,-5,3,16.35,3,1291.65,
2017,12.05,79,0.67,3,11.38,3,899.02,
2018,9.71,51,-0.16,31,9.87,31,503.37,
2019,8.61,69,-4.92,13,13.53,13,933.57,
2020,-11,5,-8.52,60,-2.48,5,-12.4,
2021,3.06,63,-13,9,16.06,9,1011.78,
2022,7.42,64,-1.17,18,8.59,18,549.76,
2023,3.05,56,-0.88,26,3.93,26,220.08,

We can look at their full career weighted average WOWY, weighting by the smaller with/without sample (which is the dominant source for noise):
KG’s Career avg WOWY: +3.4 (+4979.3 total career WOWY)
Curry’s Career avg WOWY: +7.8 (+6900.3 total career WOWY)
Career Average WOWY: Curry >> KG

KG Career WOWY (avg WOWY * total games): +4979.3
Curry’s Career WOWY (avg WOWY * total games) +6900.3
Total Career WOWY, method 1: Curry >> KG

We can sum their WOWY each season (individual season WOWY * games in that season) to calculate a ballpark full career WOWY, method 2:
KG’s Career WOWY (summing up each season's WOWY): +8538.9
Curry’s Career WOWY (summing up each season'w ): +8768.4
Total Career WOWY, method 2: Curry > KG
*Note that we have to interpolate for 2003–2005, since KG doesn’t have any missed games in those years. I use a weighted average of 2000–02 and 2005–2008 for those years for this method. You could improve his performance up to 15% in these years before KG finally surpasses Curry. While 2003 and 2004 are the best years in this stretch, 2005 is also the worst year in this stretch, making it less likely these three years on the whole are 15% better than the surrounding years. Even if so, this method doesn't give any extra benefit for having a better prime or peak (like most people do), which Curry just might have...

So what if we just look at 10-year Primes?
1999–2008 KG total WOWY: +4796.9
2000–2009 KG total WOWY: +4630
2013–2022 Curry total WOWY: +6564.8
2014–2023 Curry total WOWY: +5610.3
10-year Prime WOWY: Curry >> KG

Note that the career value numbers and even prime numbers do *not* curve shortened seasons (1999, 2012, 2020, 2021) to full-length seasons. Curry would benefit more than KG if we did this.

Note that this does *not* apply corrections for diminishing returns on better teams, which would benefit Curry more than KG. When we do account for diminishing returns, recall that KG is 4th all time (above LeBron, Shaq, Bird, Hakeem, Magic, Duncan, Russell, Kobe, Jordan, Wilt, Kareem) in the single-season prime WOWY ranking by Thinking Basketball…. suggesting prime Curry is higher than those players too in prime WOWY.

And note that this does *not* include multi-season WOWY (e.g. comparing 2020 vs 2021 Warriors with or without Curry, without KD or Klay to bias the numbers), where Curry also *clearly* surpasses KG, per my previous post:
I mean if we look at their large-sample multi-year data, ranked by how valuable the samples are:
*Alternate Value: 2019–20 Warriors: Total change: +12.97 [Alternate years: Alternate Value using 2019 instead of 2021, subtracting 2021 Durant’s 1.97 WOWY. Klay’s 17–19 WOWY / 22 WOWY are both too noisy to use and at same time as other injuries.]
-2018 Warriors: 9.71 with, -0.16 without. Total change: +9.87 [Injury year] (51 games)
*Alternate Value: 2007–08 Celtics: Total change: +9.30 [Teammate Adjustment: Alternate Value subtracting 07 Ray Allen’s 3.7 WOWY]
-2020–21 Warriors: 0.4 with, -8.52 without. Total change: +8.92 [Injury year]
-2022–23 Warriors: 5.38 with, -1.0 without. Total: 6.38 [Injury year]

-2015–16 Timberwolves: -2.21 with, -7.57 without. Total change: +5.36 [Traded, joining Timberwolves]
-2012 Warriors: -0.54 with, -5.28 without. Total change: +4.74 [Injury year]
-2008–09 Celtics: 9.88 with, 5.33 without. Total change: +4.55 [Injury year]
-2013–14 Celtics: -0.62 with, -4.97 without. Total change: +4.35 [Traded, leaving Celtics]
*Alternate Value: 2009–10 Celtics: Total change: +3.98 [Alternate years: Alternate value using 2010 instead of 2008]
-2007–08 Timberwolves: -3.16 with, -6.26 without. Total change: +3.1 [Traded, leaving Timberwolves]
-1995–96 Timberwolves: -5.14 with, -8.22 without. Total change: +3.08 [Rookie year]
-2016 Timberwolves: -2.61 with, -4.34 without. Total change: +1.73 [Injury year]

-2009–10 Warriors: -3.28 with, -3.8 without. Total change: +0.52 [Rookie year]
-2015–16 Nets: -3.02 with, -2.73 without. Total change: -0.29 [Traded, leaving Nets]
-2016–17 Timberwolves: -2.61 with, -0.64 without. Total change: -1.97 [Retirement]
-2013–14 Nets: -1.57 with, 1.25 without. Total change: -2.82 [Traded, joining Nets]

Considering how KG is 4th in the prime raw WOWY ranking (single-season data), and has the longevity advantage... and Curry *still* ends up on top for career WOWY value, I'd say that's highly compelling, especially in conjunction with all the other impact metrics that portray him as clearly a top 10 player for primes and many even for career value.

There’s obviously other stats too, but I’m really not getting how someone who values WOWY more than most posters here (obviously including other data/criteria too ofc) doesn’t see Curry’s GOAT level WOWY as cause to rank him higher….

...my dudes, unless you're extremely keen on using faulty data that goes over the whole of KG's prime (due to him not missing games), just use pbpstats.com (and even then...)

Apply due context: https://imgur.com/a/2khYyD3
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#146 » by ijspeelman » Mon Jul 31, 2023 5:00 pm

Voting day is the hardest for me because I actually have to make a decision :oops:

I think I am currently leaning Magic now in the Steph v Magic. The gap was already small for me and with all the film and research I've down I think its actually just come down to longevity.

By my count, Magic has 10 high All-NBA to MVP seasons (1981-82 to 1990-91) compared to Steph's 9 (2013-14 to 2018-19, 2020-21 to 2022-23). Its not as simple as 10 > 9. I still think I like to account for longevity relative to era and Magic gets a small, but not insignificant boost there.

I like that Magic has some value on the defensive end where I had previously had thought he had none. I do think we think of Steph as an at worst average defender because of his recent success on that end, but (just like Magic) he was hunted down on that end for a lot of his career.

Ignoring the box creation stat from Thinking Basketball and just thinking of the concept of creation, it makes sense to think of creation relative to era. From watching film, Magic did have gravity in a sense (despite his lack of volume scoring). Watching a lot of games where he posts up smaller or even similar sized players, he is constantly doubled and quickly passes to the opening even if its a crazy pass. If he's not doubled and his man is smaller, he can fairly easily rise up and drain the shot.



I still think he may have passed too early occasionally. Some of the doubles weren't necessarily great and his openings were most likely better looks than the shots he found for his teammates.

No official vote yet, but I am currently leaning Magic.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#147 » by lessthanjake » Mon Jul 31, 2023 5:09 pm

Doctor MJ wrote:
lessthanjake wrote:I’m generally pretty low on almost all the Backpicks-created box stats, to be honest. They seem pretty dubious to me, since they’re basically just Ben Taylor fitting a formula to fit his own hand-counted subjective assessments from some film (and likely peeking at the output while he did so, to make sure that output of the formula actually had people on top that he thought should be on top). But I’m not aware of the specifics of what PlayVal actually even is.


Hmm. What's given you the impression is creating statistics to be released to others specifically for the purpose of convincing others to his pet beliefs?

fwiw, I think the stat-as-drunken-man's-lamppost is always a danger for a stat-maker, but when you're talking about someone who is primarily using this stuff to inform his analysis rather than to make an argument, he'd be really screwing himself over if he was falling prey to this.


I wasn’t really suggesting Ben Taylor makes statistics to convince others of his personal pet beliefs. What I was saying is that the formulas are going to be created with an idea in mind that the output should probably have the guys you’d expect at the top (otherwise a lot of people will glance at it and immediately decide it must be garbage—which is bad for business). So, let’s say we have hand-counted data and there’s two possible formulas (i.e. combination of variables and coefficients on those variables) that “fit” the data similarly well, but one formula puts the guys you’d expect at the top while the other one doesn’t. I think the one that puts the guys you’d expect at the top will inevitably be chosen. And that’s not some unlikely hypothetical—practically speaking, it’s basically always how an exercise like this would work. This “find a formula that fits the hand-counted data” exercise is not one where there’s going to be only one possible formula that fits the data—nothing will fit the data perfectly so there’s inevitably a choice between options that fit it similarly well. Of course, it’s *probably* true that a formula that puts the expected guys at the top *is* better than one that doesn’t. But it’s just to say that an exercise like this has a bit of an inherent bias towards reinforcing prior notions. And that’s just on top of the pretty huge issue that the “fit” in question is just a fit against one person’s subjective assessment (and that that subjective assessment is itself only based on a sample of games). So there’s just a lot of reasons to not find those metrics particularly compelling IMO. The issue about the underlying data just being one person’s subjective assessment of a sample of games is the biggest issue, though.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#148 » by ijspeelman » Mon Jul 31, 2023 5:16 pm

lessthanjake wrote:
Doctor MJ wrote:
lessthanjake wrote:I’m generally pretty low on almost all the Backpicks-created box stats, to be honest. They seem pretty dubious to me, since they’re basically just Ben Taylor fitting a formula to fit his own hand-counted subjective assessments from some film (and likely peeking at the output while he did so, to make sure that output of the formula actually had people on top that he thought should be on top). But I’m not aware of the specifics of what PlayVal actually even is.


Hmm. What's given you the impression is creating statistics to be released to others specifically for the purpose of convincing others to his pet beliefs?

fwiw, I think the stat-as-drunken-man's-lamppost is always a danger for a stat-maker, but when you're talking about someone who is primarily using this stuff to inform his analysis rather than to make an argument, he'd be really screwing himself over if he was falling prey to this.


I wasn’t really suggesting Ben Taylor makes statistics to convince others of his personal pet beliefs. What I was saying is that the formulas are going to be created with an idea in mind that the output should probably have the guys you’d expect at the top (otherwise a lot of people will glance at it and immediately decide it must be garbage—which is bad for business). So, let’s say we have hand-counted data and there’s two possible formulas (i.e. combination of variables and coefficients on those variables) that “fit” the data similarly well, but one formula puts the guys you’d expect at the top while the other one doesn’t. I think the one that puts the guys you’d expect at the top will inevitably be chosen. And that’s not some unlikely hypothetical—practically speaking, it’s basically always how an exercise like this works. This “find a formula that fits the hand-counted data” exercise is not one where there’s going to be only one possible formula that fits the data—nothing will fit the data perfectly there’s inevitably a choice between options that fit it similarly well. Of course, it’s *probably* true that a formula that puts the expected guys at the top *is* better than one that doesn’t. But it’s just to say that an exercise like this has a bit of an inherent bias towards reinforcing prior notions.


I don't what better way there is to currently estimate "opportunities created" than to count them yourself, parse what box score stats may affect this, and then generate a formula that fits your findings and apply it league-wide.

Its definitely not perfect and probably shouldn't be used comparing apples to oranges (across eras), but until we have tracking data, it at least gives some insight.

I know I compared two players from different eras earlier, but I have grown and have learned. :lol:
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#149 » by OhayoKD » Mon Jul 31, 2023 5:25 pm

ijspeelman wrote:
lessthanjake wrote:
Doctor MJ wrote:
Hmm. What's given you the impression is creating statistics to be released to others specifically for the purpose of convincing others to his pet beliefs?

fwiw, I think the stat-as-drunken-man's-lamppost is always a danger for a stat-maker, but when you're talking about someone who is primarily using this stuff to inform his analysis rather than to make an argument, he'd be really screwing himself over if he was falling prey to this.


I wasn’t really suggesting Ben Taylor makes statistics to convince others of his personal pet beliefs. What I was saying is that the formulas are going to be created with an idea in mind that the output should probably have the guys you’d expect at the top (otherwise a lot of people will glance at it and immediately decide it must be garbage—which is bad for business). So, let’s say we have hand-counted data and there’s two possible formulas (i.e. combination of variables and coefficients on those variables) that “fit” the data similarly well, but one formula puts the guys you’d expect at the top while the other one doesn’t. I think the one that puts the guys you’d expect at the top will inevitably be chosen. And that’s not some unlikely hypothetical—practically speaking, it’s basically always how an exercise like this works. This “find a formula that fits the hand-counted data” exercise is not one where there’s going to be only one possible formula that fits the data—nothing will fit the data perfectly there’s inevitably a choice between options that fit it similarly well. Of course, it’s *probably* true that a formula that puts the expected guys at the top *is* better than one that doesn’t. But it’s just to say that an exercise like this has a bit of an inherent bias towards reinforcing prior notions.


I don't what better way there is to currently estimate "opportunities created" than to count them yourself, parse what box score stats may affect this, and then generate a formula that fits your findings and apply it league-wide.

Its definitely not perfect and probably shouldn't be used comparing apples to oranges (across eras), but until we have tracking data, it at least gives some insight.

I know I compared two players from different eras earlier, but I have grown and have learned. :lol:

Looking assists per game aslo reinforces "the prior notion" that the pass before a shot is the most valuable. "prior notions" are involved with any box-metric. The difference here is ben's method is demonstrably more predictive. In other words, it ties into what actualy matters(making offenses better).

Am curious how Ben's era-adjustment works, but older players certainly aren't struggling with it(magic and nash dominate Lebron). Granted, I realize it's inconvenient for certain priors(cough Bird cough)
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#150 » by lessthanjake » Mon Jul 31, 2023 5:28 pm

ijspeelman wrote:
lessthanjake wrote:
Doctor MJ wrote:
Hmm. What's given you the impression is creating statistics to be released to others specifically for the purpose of convincing others to his pet beliefs?

fwiw, I think the stat-as-drunken-man's-lamppost is always a danger for a stat-maker, but when you're talking about someone who is primarily using this stuff to inform his analysis rather than to make an argument, he'd be really screwing himself over if he was falling prey to this.


I wasn’t really suggesting Ben Taylor makes statistics to convince others of his personal pet beliefs. What I was saying is that the formulas are going to be created with an idea in mind that the output should probably have the guys you’d expect at the top (otherwise a lot of people will glance at it and immediately decide it must be garbage—which is bad for business). So, let’s say we have hand-counted data and there’s two possible formulas (i.e. combination of variables and coefficients on those variables) that “fit” the data similarly well, but one formula puts the guys you’d expect at the top while the other one doesn’t. I think the one that puts the guys you’d expect at the top will inevitably be chosen. And that’s not some unlikely hypothetical—practically speaking, it’s basically always how an exercise like this works. This “find a formula that fits the hand-counted data” exercise is not one where there’s going to be only one possible formula that fits the data—nothing will fit the data perfectly there’s inevitably a choice between options that fit it similarly well. Of course, it’s *probably* true that a formula that puts the expected guys at the top *is* better than one that doesn’t. But it’s just to say that an exercise like this has a bit of an inherent bias towards reinforcing prior notions.


I don't what better way there is to currently estimate "opportunities created" than to count them yourself, parse what box score stats may affect this, and then generate a formula that fits your findings and apply it league-wide.

Its definitely not perfect and probably shouldn't be used comparing apples to oranges (across eras), but until we have tracking data, it at least gives some insight.

I know I compared two players from different eras earlier, but I have grown and have learned. :lol:


I’m not really suggesting that there’s a better option. I’m more just saying I don’t find it particularly compelling. I think there’s a difference between “This isn’t very compelling but it’s the best we have so let’s look at it but not really take it all that seriously” and “This is really compelling and should form the basis for arguments/conclusions.” I don’t think any of the Backpicks box-score-based stats should go beyond the first thing.

[And I’ll note that I’m not saying this based on it really bearing in any particular way on this thread, since as far as I’m aware Steph looks great in those Backpicks box-score-based stats. This is just a general commentary from me on those stats]
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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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#151 » by rk2023 » Mon Jul 31, 2023 5:28 pm

rk2023 wrote:Nomination - Jerry West


Wanted to touch on this a little bit more. As I mentioned in a prior round nomination, I see West's career slightly over two other strong candidates (IMO) for this position in Oscar & Dirk.

From my career analysis -

Spoiler:
Dirk:

Code: Select all

MVP Level - 2005-11
Weak MVP: 2002-04, 2012
All-NBA: 2001, 2014
All-Star or Fringe: 2000, 2013, 15-16


Oscar:

Code: Select all

Fringe All-Time: 1964
MVP Level: 1961-63, 65-67
Fringe MVP: 1968
Weak MVP: 1969-71
All-Star or Fringe: 1972-74


West:

Code: Select all

All-Time: 1965, 66
MVP Level: 1964, 68-70
Fringe MVP: 67, 71 (Due to playoffs missed)
Weak MVP: 1962-63
All NBA: 1961, 72-73
All-Star or Fringe: 1974


So in comparison...
Spoiler:

Code: Select all

All-Time+: West (2), Dirk & Oscar (0)
Fringe-All-Time+: West (2), Oscar, (1), Dirk (0)
MVP+: Dirk & Oscar (7), West (6)
Fringe-MVP+: West & Oscar (8), Dirk (7)
Weak MVP+: Dirk & Oscar (11), West (10)
All-NBA+ : Dirk & West (13), Oscar (11)


Very close between the three with various proxies / thresholds considered (albeit - a subjective analysis EOTD), but I think West's track record and playoff translation gives me the confidence in this pick gun-to-head.

To start, a fair share of West's on-court goodness was accrued through a highly efficacious scoring track record:
- 9 seasons >= 110 TS+, 7 >=113, 4 >= 116, 3 >= 118.
- 9th in 82 game TS Add average (236.4), 8th highest TS Add peak amongst players (374.3)
- 8 seasons over the 200 TS Add threshold.


What's all the more impressive is all of this translated, and then some, into the playoffs:

From 1961-70: 27.9/6.3/5.9 on 47.2 FG%, 55.1% TS vs. 30.9/5.9/5.9 on 48.3 FG%, 55.6% TS

Spoiler:
let’s talk about West in the postseason. Here’s his regular season average through 1971:

22.7 shooting possessions per 36, 27.8 points per game, +6.4% TS (sorry, we don’t have usage, so shooting possessions per 36 is as good as I could use to estimate)

In the playoffs he went to:

23.7 SPp36, 30.9 ppg, +6.7% TS

So moving into the playoffs bumped shooting by 1 shot per 36, points by 3.1 and efficiency by +0.3%.

Let’s compare that to . . . Jordan’s postseason change through age 31.

+0.1 SPp36, +2.2 ppg, -0.9% TS

So Jordan increased his shot-taking some, bumped his ppg and his efficiency dropped slightly. I’m not saying that West was the better postseason player (he wasn’t) but it seems clear that West’s ability to get better in the playoffs was historically quite unusual. I looked for other comps and the two of the best I could find were:

Hakeem Olajuwon (through age 31):

+0.4 SPp36, +3.3 ppg, +1.8% TS

Reggie Miller (through age 31):

+2.0 SPp36, +4.9 ppg, +0.5% TS

Here are West’s numbers again:

+1.0 SPp36, +3.1 ppg, +0.3% TS

I’m not saying that West saw his game get the biggest bump in the postseason ever . . . but it was a pretty remarkable amount. He came by the moniker “Mister Clutch” quite rightly. Anyhow.


LukaTheGOAT wrote:3-year playoff stretches above +2 in ScoreVal (BackPicks)

Kareem 7x (10x in RS)
Jordan 7x (7x in RS)
Shaq 7x (7x in RS)
Miller 7x (7x in RS)
West 7x (2x in RS)


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While his assist values were quite formidable as well (shifting more towards that as his scoring declined & he aged, somewhat a feather in his cap for longevity), would definitely say he was more of a great playmaker rather than a transcendent one. From film I have seen, it seems as if West did a great job being able to "read and react" to make a higher value pass for a teammate - an extension of the pressure he would put on defenses being able to (1) drive to the basket or (2) get downhill, but stop for a mid-range jumper. This approach of relentless attacking (with a solid blend of on vs. off ball chops and an underrated athletic profile) made West the efficacious scorer he was and allowed him to garner very gaudy free throw rates - giving him a complete box profile that correlated very well with offensive impact (more on this later).

There's some great videos i've come across from Historians / Curators (including PC Board's own, 70sfan) on the subject of West's offense. Many more examples exist with a quick YouTube search, but both of these do a good job showing the cerebral and potent approach of West's scoring. Ball pressure & 'point of attack defense' wasn't as tactically advanced back then, but otoh there was very little semblance of spacing & much less a section of the court to start on-ball with. I'm high on his translation, but for that era West was a phenomenal scorer because of his ability (at-least in perception) to wait and find areas of the floor he could maneuver around - of course having the elite touch for contested floaters and jumpers helped as well. This cerebral, athleticism focused approach made him a defensive monster as well. With team results considered and the nuance that the game was played much closer to the basket, I'm unsure how high I could get on his positional defense (perhaps ~YoY all-defense level) - but his motor and defensive playmaking (especially rim protection for a guard) were off the charts in an absolute sense.

Foobas Sports (Highlights his passing the first minute):


1969 Finals vs. Celtics plays:


ZeppelinPage Defense breakdown:
https://forums.realgm.com/boards/viewtopic.php?f=64&t=2311872&p=107833128#p107833128

Defensive (shot-blocking) analysis, courtesy of @WiltStats:
Read on Twitter


When it comes to player value, there's no doubt he graded out as one of the impact kings amongst perimeter players in NBA History, with a very good claim for being the best offensive player of his era (with a playoff focus).
- 9th in Thinking Basketball's Scaled WOWYR (6.9), 6th in scaled GPM (7.8), 2nd "WOWY Score" (7.8)
- 6th in DraymondGold's 10-yr prime WOWY, eventual ascension in Moonbeam's regression model
- This is a flawed stat, but Win-Share heliocentrism (by Sansterre) and WS/48 both regard West quite highly iirc

https://forums.realgm.com/boards/viewtopic.php?p=100598026#p100598026

Furthermore, some team offense progression shared by Proxy from last years' greatest peaks originally from TB's site. As soon as the Lakers featured more a West centered attack and as Baylor's best days reached the rear-view mirror, the Royals'/Lakers' offenses seem comparable - with both players measuring as indispensable towards offensive success.

Lakers 3-year PS offenses from 1961-63 through 1965-68 (1967 injury, keep in mind):
5.5 -> 6.0 -> 7.0 -> 6.7 -> 6.2 (all in the 84th %ile or higher historically, Oscar's Royals maxed out at 4.3 [then 4.2, 3.1, 3.1] - of course nothing too tangible in this approach & just food for thought).

Quite the lot, as I'll be saving this for a future vote, but yeah... TLDR: Jerry West was a great player. Not too much to impeach from an individual standpoint other than durability (why he's not as high for me to the point where he's competing with Kobe, Magic, Garnett, etc).
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#152 » by lessthanjake » Mon Jul 31, 2023 5:35 pm

OhayoKD wrote:
ijspeelman wrote:
lessthanjake wrote:
I wasn’t really suggesting Ben Taylor makes statistics to convince others of his personal pet beliefs. What I was saying is that the formulas are going to be created with an idea in mind that the output should probably have the guys you’d expect at the top (otherwise a lot of people will glance at it and immediately decide it must be garbage—which is bad for business). So, let’s say we have hand-counted data and there’s two possible formulas (i.e. combination of variables and coefficients on those variables) that “fit” the data similarly well, but one formula puts the guys you’d expect at the top while the other one doesn’t. I think the one that puts the guys you’d expect at the top will inevitably be chosen. And that’s not some unlikely hypothetical—practically speaking, it’s basically always how an exercise like this works. This “find a formula that fits the hand-counted data” exercise is not one where there’s going to be only one possible formula that fits the data—nothing will fit the data perfectly there’s inevitably a choice between options that fit it similarly well. Of course, it’s *probably* true that a formula that puts the expected guys at the top *is* better than one that doesn’t. But it’s just to say that an exercise like this has a bit of an inherent bias towards reinforcing prior notions.


I don't what better way there is to currently estimate "opportunities created" than to count them yourself, parse what box score stats may affect this, and then generate a formula that fits your findings and apply it league-wide.

Its definitely not perfect and probably shouldn't be used comparing apples to oranges (across eras), but until we have tracking data, it at least gives some insight.

I know I compared two players from different eras earlier, but I have grown and have learned. :lol:

Looking assists per game aslo reinforces "the prior notion" that the pass before a shot is the most valuable. "prior notions" are involved with any box-metric. The difference here is ben's method is demonstrably more predictive. In other words, it ties into what actualy matters(making offenses better).

Am curious how Ben's era-adjustment works, but older players certainly aren't struggling with it(magic and nash dominate Lebron). Granted, I realize it's inconvenient for certain priors(cough Bird cough)


1. Ben’s methods are “demonstrably more predictive,” as against Ben’s own subjective assessments. That’s the point! The underlying data being fit to is a subjective assessment that would likely be substantially different for anyone else that watched the same games (and probably would be a bit different even if Ben did the same exercise over again, or if he looked at a different sample of film). These stats are formulas made to fit fairly well to one person’s subjective analysis.

2. Also, correct me if I’m wrong, but I’m fairly sure that there’s no such thing as “Ben’s era-adjustment” here. Rather, as I understand it, that was something that someone here did to “adjust” for the fact that Box Creation is lower in prior eras. And it’s an adjustment that I don’t really think Ben would even approve of, since he specifically mentions that in his hand-counted analysis, there actually *was* less creation in those earlier eras. But I don’t have the source of this “adjusted” data, so I don’t actually know for sure where it came from.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#153 » by penbeast0 » Mon Jul 31, 2023 6:00 pm

lessthanjake wrote:
OhayoKD wrote:... The difference here is ben's method is demonstrably more predictive. In other words, it ties into what actualy matters(making offenses better).

Am curious how Ben's era-adjustment works, but older players certainly aren't struggling with it(magic and nash dominate Lebron). Granted, I realize it's inconvenient for certain priors(cough Bird cough)


1. Ben’s methods are “demonstrably more predictive,” as against Ben’s own subjective assessments. That’s the point! ....


Actually, if what OhayoKD says is true, it should be demonstrably more predictive, not against subjective assessments, but against team/lineup points per possession numbers since that is what making offenses better means at least to me. If he can show this or you can disprove it, then the arguments settles out at least for one reader.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#154 » by lessthanjake » Mon Jul 31, 2023 6:06 pm

penbeast0 wrote:
lessthanjake wrote:
OhayoKD wrote:... The difference here is ben's method is demonstrably more predictive. In other words, it ties into what actualy matters(making offenses better).

Am curious how Ben's era-adjustment works, but older players certainly aren't struggling with it(magic and nash dominate Lebron). Granted, I realize it's inconvenient for certain priors(cough Bird cough)


1. Ben’s methods are “demonstrably more predictive,” as against Ben’s own subjective assessments. That’s the point! ....


Actually, if what OhayoKD says is true, it should be demonstrably more predictive, not against subjective assessments, but against team/lineup points per possession numbers since that is what making offenses better means at least to me. If he can show this or you can disprove it, then the arguments settles out at least for one reader.


I’m a little confused by what you’re referring to when you say “if what OhayoKD says is true.”

Here’s a basic overview of what these stats are: Ben Taylor personally went through film of a bunch of games. He hand-counted stuff using his subjective assessments. For “Passer Rating,” for instance, this means he personally rated each pass on a scale of 1-10 for how good he thought the pass was. Then, after making those assessments, he put together a formula using some variables (which were box-stat info and height) and coefficients on those variables, such that the output of that formula “fit” well with the hand-counted assessments he made in the sample of games he watched. So, for Passer Rating, the stat is specifically designed to fit with Ben’s subjective assessment of pass quality in a sample of game she watched. That is specifically what the formula is designed to mimic. It’s really nothing more than that. It’s not made to “fit” with offensive rating when someone is on the floor or plus-minus or something.

EDIT: And, just to be clear, I’m not saying Ben Taylor’s “Passer Rating” is *worse* than really basic stats like assists or whatever. It’s probably better than that! But it’s still not something I think should be taken very seriously, for reasons that I think should be obvious once someone reads into what it is.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#155 » by penbeast0 » Mon Jul 31, 2023 6:12 pm

If it's objectively more predictable, though, there should be a very strong correlation with lineup offensive efficiency. That was the claim, however Ben Taylor got there.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#156 » by lessthanjake » Mon Jul 31, 2023 6:14 pm

penbeast0 wrote:If it's objectively more predictable, though, there should be a very strong correlation with lineup offensive efficiency. That was the claim, however Ben Taylor got there.


Objectively more predictable than what? And predictable of what? Passer Rating is literally just a formula designed to correlate well with Ben Taylor’s personal rating from 1-10 of passes he watched in some film. There’s nothing more to it. It’s not even *trying* to predict offensive efficiency.
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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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#157 » by lessthanjake » Mon Jul 31, 2023 6:27 pm

From Ben Taylor’s most recent video, just a look at Steph as an impact outlier:

Image

No one had anywhere even approaching peak Steph’s (2015-2019) combination of incredibly high on-off and incredibly high net rating when on the court. It’s just a total outlier in the data-ball era.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#158 » by Dr Positivity » Mon Jul 31, 2023 7:20 pm

ElGee's entire method corrodes if he has confirmation bias (including WOWY which I'll say for the 3rd of 15 times this project, arbitrarily decides which teammate injures are important enough to disqualify a sample if they're also injured, which becomes incredibly difficult to do when there are players on the borderline of being good enough - Ok Harden is good enough that if he and Embiid both get injured next year and they go 0-10 it ruins the Embiid sample too much to count, while an Embiid/Milton injury combo should still count as valid without you games for Embiid, but what about Tobias injury, is he good enough?), so I guess some people trust his personality here more than I do. Rather than someone who barely has a pulse online like J.E. I always saw ElGee on taking sides on players like being an Oscar and Malone supporter and anti Wilt or Dantley. eg. It makes perfect sense that he could have had the subjective idea beforehand that Nate McMillan is one of the best passers ever and then did a tracking thing to prove that opinion. Or that while adjusting WOWY by injured games, he ran into a guy who he's been calling overrated for years who's team fell 10 points without him, but then saw a lifeline that the 5th best player on the team was also injured, so disqualifying it saves him from rating the overrated guy over the player he loves.
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#159 » by rk2023 » Mon Jul 31, 2023 7:45 pm

lessthanjake wrote:From Ben Taylor’s most recent video, just a look at Steph as an impact outlier:

Image

No one had anywhere even approaching peak Steph’s (2015-2019) combination of incredibly high on-off and incredibly high net rating when on the court. It’s just a total outlier in the data-ball era.


In the 15-19 playoffs however, Steph grades out with a 6.8 on/off swing - albeit with an impressive +11.5 net (116.8 ORTG) with him on. Still all-time numbers without a doubt and a testament to his greatness, but I'd reckon neither of the latter two measure as a data-ball "outlier amongst outliers". I will say that such could be influenced by not being fully healthy in the timeframe, though that is a part of the puzzle already when I'm evaluating Curry's peak and prime years.

Source - PBP Stats:
https://www.pbpstats.com/wowy-combos/nba?TeamId=1610612744&Season=2014-15,2015-16,2016-17,2017-18,2018-19&SeasonType=Playoffs&PlayerIds=201939&Leverage=Medium,High,VeryHigh
Mogspan wrote:I think they see the super rare combo of high IQ with freakish athleticism and overrate the former a bit, kind of like a hot girl who is rather articulate being thought of as “super smart.” I don’t know kind of a weird analogy, but you catch my drift.
lessthanjake
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Re: RealGM 2023 Top 100 Project - #10 (Deadline 11:59 PM EST on 7/31/23) 

Post#160 » by lessthanjake » Mon Jul 31, 2023 7:52 pm

rk2023 wrote:
lessthanjake wrote:From Ben Taylor’s most recent video, just a look at Steph as an impact outlier:

Image

No one had anywhere even approaching peak Steph’s (2015-2019) combination of incredibly high on-off and incredibly high net rating when on the court. It’s just a total outlier in the data-ball era.


In the 15-19 playoffs however, Steph grades out with a 6.8 on/off swing - albeit with an impressive +11.5 net (116.8 ORTG) with him on. Still all-time numbers without a doubt and a testament to his greatness, but I'd reckon neither of the latter two measure as a data-ball "outlier amongst outliers". I will say that such could be influenced by not being fully healthy in the timeframe, though that is a part of the puzzle already when I'm evaluating Curry's peak and prime years.

Source - PBP Stats:
https://www.pbpstats.com/wowy-combos/nba?TeamId=1610612744&Season=2014-15,2015-16,2016-17,2017-18,2018-19&SeasonType=Playoffs&PlayerIds=201939&Leverage=Medium,High,VeryHigh


Yeah, that’s a fair point, but I think it was more than a little influenced by missing a handful of easier early-round games. I recall Ben Taylor previously noting that his playoff on-off is in line with the regular season if you take those series out (don’t remember his exact wording, so I may be slightly misrepresenting).
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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