DQuinn1575 wrote:Owly wrote:2) I would imagine based on what I've heard of Bird's absences that they skewed towards Boston back-to-backs.
You heard wrong, Bird played 15 of team's 21 back-to-backs in 91 and 10 of 20 in 92. That's right in line with 60 and 45 games.
Owly wrote:3) I wouldn't think .159 is a massive, elite level difference in WoWY win % because
a) from a similar era and span (92 and 93) STATS Inc had
Jordan .611
Olajuwon .458
Barkley .392
Rodman .383
Mutombo .295
Daugherty .258
Robinson .250
Mullin .178
Jordan hardly missed any games, 2-10 games is just too small a sample.
So I used a 15 game cutoff for these guys 90-93.
I looked at top group and get the data below
total team wins,losses, played wins played losses, dnp wins and losses and difference
Bird is second and fourth of the group; behind Rodman and Barkley splitting him,
It's also harder for Bird as he and Hakeem are the only ones whose teams are above .500 without them, and it is harder to improve a plus .500 team than a negative one.
w l on w on l off w off l tot % on % off % diff %
93 Rodman 40 42 36 26 4 16 0.488 0.581 0.200 0.381
91 Bird 56 26 46 14 10 12 0.683 0.767 0.455 0.312
91 Barkley 44 38 39 28 5 10 0.537 0.582 0.333 0.249
92 Bird 51 31 31 14 20 17 0.622 0.689 0.541 0.148
90 Daugherty 42 40 24 17 18 23 0.512 0.585 0.439 0.146
93 Mullin 34 48 20 26 14 22 0.415 0.435 0.389 0.046
91 Hakeem 52 30 36 20 16 10 0.634 0.643 0.615 0.027
I'll trust that you're accurate regarding back to backs and in each of the season numbers above.
I don't love raw Win% WoWY, I just happened to have the data relatively to hand but fwiw, I'd still debate some stuff here
In terms of mathematics, if measuring the team in wins, I believe it's easier to improve team around a pivot point of .500. Going from being outscored by 50 (9500 to 10000 into 10050 to 10000) is (varying slightly with different versions of pythagorean wins) is worth around 3 wins. A move of 100 away from the norm at the extremes (8500 to 10000 going down to 8400 to 10000 or 11500 to 10000 changing to 11600 to 10000) only moves pythag wins by around 1.
It might on average require a higher standard of player to improve a good team, but this would depend very much on the specifics of whose minutes you are replacing.
Don't love the use of games missed as a marker here there would be instances where a player could make a high mark on the leaderboard but didn't miss enough, but if they missed a few more wins ... then they'd make it.
This chops out for instance .340588988 '93 Daugherty from the top named stars samples and would chop .501 Dudley '93
(each 11 games) from the general group. Olajuwon '92 (.405 12 games).
Jordan applies less here because it was a two season thing but the point still applies, substantial sign of impact is missed in such instances that would be if the sample included more "out games" and the player were not missed at all (indeed the team substantially better) in that additional span. I would think a loss requirement would be better, personally.
Then too if the board is just that offered minus those with less than 15 games missed in a season that's not a lot of players in this comparison.
'90 Cavs data may be pretty junky with Nance missing 20 games, Price 9 (and many different players in the 55 to 35 game range), '92 Celtics too has a substantial McHale absence.
It's nice to see some more numbers but I haven't seen anything to move me off my points (only that Bird apparently did not avoid the second game of b2bs).
Fwiw, looking at ElGee's Bird WoWYs from that span they paint a mixed picture (individual ones very positive on '91 far less so on the others, overall 90-92 pretty good but I think not noteworthy [Bird in, Parish in, 51 games out, 3.3 SRS change, 2.9 WoWY score]).