OhayoKD wrote:Djoker wrote:If the partial RAPM are that unreliable because they have oversampled Bulls games, then how come Scottie doesn't dominate the list and only Jordan does..? Pippen is 20th, 22nd, 2nd in RAPM in 1991, 1993 and 1996 respectively.
Why are you only looking at Pippen?
The Bulls have 3 of the top 20 and 4 of the top 30 in 1991.
The Bulls have 3 of the top 30 and 4 of the top 50 in 1993
The Bulls have the top 2, 3 of the top 10, and 4 of the top 20 in 1996
I find this quite puzzling as an argument. When a team does really well, we’d fully expect that team to have a lot of players high up in terms of RAPM. That’s how RAPM works (it rewards success when you’re on the court!), especially with no box prior pulling the less productive players down relative to star players.
You can take a look at pure RAPM for the 1996-1997 season, at the website I linked to earlier in this thread. For that season we have full data, and so this issue you raise is not a factor at all. And yet, in the 1996-1997 season, the Bulls have 3 players in the top 10 and 5 players in the top 20. And if you go to 1997-1998, the Bulls have 3 players in the top 20, and 4 players in the top 50. You can look at great teams in general and you’ll find similar things, often with somewhat random role players being ranked highly (for instance, Mario Chalmers was ranked #7 in pure RAPM in the 2012-2013 season, and Shane Battier was ranked #27).
On this point, I notice that you conspicuously didn’t mention how the Bulls did in Squared’s 1987-1988 RAPM, even though Squared does have RAPM for that season and Jordan is #1 while the Bulls had a much larger sample than the vast majority of teams. And, of course, when I look at the 1987-1988 RAPM I see the reason you didn’t mention it: The Bulls only had one other player in the top 75 in Squared’s RAPM that year. And that’s not a surprise, since they were only a 3.76 SRS team that year, so we wouldn’t expect the team as a whole to do as well in RAPM.
I think the overall picture here is a pretty clear one—teams that do really well unsurprisingly have multiple players rated highly by pure RAPM. The Squared RAPM data for the Bulls is consistent with that unremarkable fact. Not only do we not need your theory to explain this, but your theory is inconsistent with the Squared data when it comes to 1987-1988.
lessthanjake also correctly pointed out that the Lakers actually have more sampled games than the Bulls in 1988 and yet Jordan is still ahead of Magic.
He does have a lead...which is
much smaller than his general advantage.
Jordan has a 13% lead over Magic in 1988, and a 33% lead over Magic in the overall data. First of all, even if for argument’s sake we attributed that entire difference to this sample thing you’re raising, it’d be clear that this factor could not explain why Jordan’s RAPM lead over Hakeem in the overall data is 76%.
Second of all, we’d probably expect the overall data to be a little better for Jordan compared to Magic than just the 1988 data, since 1988 was probably closer to Magic’s peak than to Jordan’s peak, while the overall data includes other years that we’d probably say the opposite about (most notably 1991). Not surprisingly, if you go to the individual season data for 1991, despite having similar samples (Jordan’s sample is less than 15% bigger), Jordan’s RAPM in 1991 was 60% higher than Magic’s. Needless to say, that’s a far bigger gap than the one in the overall multi-year data. And that’s unsurprising because, as it was peak Jordan and not quite peak Magic, the actual gap between the two players was larger in 1991 than overall. So yeah, I think the difference between Jordan’s lead over Magic in individual seasons and his lead in the full data can basically be explained by actual differences in the size of the gap between the two players. The gap between Jordan and Magic was smaller in 1988 than overall, so Magic was closer that year than he is overall, while vice versa is true in 1991. Your theory is not in any way necessary to explain this. Indeed, your theory isn’t even really consistent with this. For instance, the difference in how much Jordan and Magic were sampled in the multi-year data is way larger than the difference in how much Jordan and Magic were sampled in the 1991 data, and yet Jordan’s lead in the 1991 RAPM is larger.
Or that in 1991, the Lakers and Spurs have almost as many sampled games and yet both Magic and Robinson are well behind Jordan.
Not sure that this theory to discredit Squared2020's RAPM is all that convincing.
Not sure why 1991 Drob is worth mentioning here. Yeah, the advantage vs Magic there. No one is arguing Jordan can't end up looking like the best player in general via RAPM. The question is why we're deciding it matters for a down year in 1993 where 2nd place has half the possessions and almost everyone is working with a third.
This is a valid point. Jordan could theoretically be far more impactful than Hakeem (or Magic) overall, but not have been more impactful than Hakeem in 1993. It’s possible. But I’d note two things:
1. You seem keen for arguments’ purposes to label 1993 a “down year” for Jordan. Yet your primary argument against Jordan (whether in this thread or elsewhere) generally revolves around how the Bulls did in 1994. Do you acknowledge that 1993 was clearly a “down year” for Pippen and Grant? There’s actually *a lot* more indication of that than there is that 1993 was a “down year” for Jordan. To be fair, I think you do sometimes acknowledge it to some extent, but it seems worth flagging. It’s not really clear that 1993 was a down-year for Jordan as much as that his best teammates had a real dip (which they followed up with bounce-back years the next year).
2. More generally, I think we can use broader data to draw inferences about specific years. If Jordan and Hakeem’s RAPM isn’t even close overall, it should make us quite skeptical that Hakeem was more impactful in 1993, even if we think Hakeem was better than normal in 1993. The overall data being so clearly in Jordan’s favor provides a baseline assumption that would have to be overcome. The 1993-specific data is definitely flawed (small sample, especially for Hakeem) but definitely does nothing to overcome that assumption.