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Mike G
Joined: 14 Jan 2005
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PostPosted: Sun Sep 21, 2008 7:01 am    Post subject: Home Assist Adjustments 	Reply with quote
Another spin-off thread, inspired by this one:
http://sonicscentral.com/apbrmetrics/vi ... 76&start=0
BenF had his definitions and terms, then several others had theirs. In order to keep my focus separate, I'll define what I'm looking at here. First, some terms best left behind:
- "Scoring" is putting the ball in the basket. It may be a short form of "scorekeeping", unrelated to the kind of scoring that wins games; but it makes for some very confusing discussion when used to mean jotting notes on the sideline.
- "Bias" has been used several ways, but for my purposes it just means home assist generosity towards the home team. It doesn't affect the outcome of games; nor does it indicate whether a team played better. It just affects players' assist totals/rates/%.
Home/away splits, like this one:
http://www.basketball-reference.com/fc/ ... &year=1987
... show that the 1987 Lakers averaged 48 FG at home, and 43.2 on the road. They also averaged 34.1 assist at home, and only 25.2 on the road.
Their home/away Ast/FG are therefore (341/480=) .710 at home, to just .583 on the road. The rest of the league only thought they assisted on (583/710) 82% as many of their FG.
The 'away' Ast/FG is what I'm calling 'true' Ast%. If we adjust the '87 Lakers' home Ast% by the factor .82, then we can estimate their 'real' assists -- per FG, per game, and total.
A player who is assumed to play half his games (minutes) at home can be assumed to have benefitted (or suffered) equally from whatever the home scorekeepers have seen fit to award, for half their totals. To leave the 'away' half unaffected, we halve the adjustment factor. For this team,
fac = (1 + .82)/2 = .91
So we can correct Magic Johnson's 1987 assists by the factor .91 . Does he still win the assist title (his last)?
Code:
year      player        team   fac    G   Ast  Ast2   As/G  As/G2   Ast%  Ast%2
1987   Magic Johnson     LA   .911   80   977   890   12.2  11.1   .472   .430
1987   Sleepy Floyd      GS   .982   82   848   833   10.3  10.2   .380   .373
1987   Isiah Thomas     Det   .980   81   813   797   10.0   9.8   .393   .385
1987   Glenn Rivers     Atl   .932   82   823   767   10.0   9.4   .430   .401
1987   John Stockton    Uta   .959   82   670   643    8.2   7.8   .476   .457
1987
 
In fact, Magic's lead over Sleepy (12.2 to 10.3 Ast/G) is cut in half; his total-assist margin from 129 down to just 57. Floyd's Warriors were only jacking their players' assists up by a couple %.
This marks the advent of the Stockton era. Listing just the top 3 Ast/G men; plus anyone who, after adjustment, would crack the top 3 (in Ast or Ast/G). Ast% (from b-r.com) and an adjusted version are listed.
Ast%2 = Ast% x fac
Code:
year      player        team   fac    G   Ast  Ast2   As/G  As/G2   Ast%  Ast%2                       
1988   John Stockton    Uta   .965   82  1128  1089   13.8  13.3   .548   .529
1988   Magic Johnson     LA   .932   72   858   799   11.9  11.1   .454   .423
1988   Mark Jackson      NY   .919   82   868   798   10.6   9.7   .374   .344
1988   Terry Porter     Por   .985   82   831   819   10.1  10.0   .359   .354
1988  -  Porter should have been 3rd in Ast/G and 2nd in assists.
                                 
1989   John Stockton    Uta   .992   82  1118  1109   13.6  13.5   .543   .539
1989   Magic Johnson     LA   .919   77   988   908   12.8  11.8   .486   .447
1989   Kevin Johnson    Phe   .938   81   991   929   12.2  11.5   .404   .379
1989                                 
1990   John Stockton    Uta   .997   78  1134  1131   14.5  14.5   .574   .573
1990   Magic Johnson     LA   .948   79   907   859   11.5  10.9   .455   .431
1990   Kevin Johnson    Phe   .897   74   846   759   11.4  10.3   .444   .398
1990   Muggsy Bogues    Cha   .982   81   867   851   10.7  10.5   .446   .438
1990  -  Muggsy over KJ in all categories.
year      player        team   fac    G   Ast  Ast2   As/G  As/G2   Ast%  Ast%2                                 
1991   John Stockton    Uta   .966   82  1164  1125   14.2  13.7   .575   .556
1991   Magic Johnson     LA   .936   79   989   926   12.5  11.7   .493   .462
1991   Kevin Johnson    Phe   .973   77   781   760   10.1   9.9   .407   .396
1991                                 
1992   John Stockton    Uta   .981   82  1126  1105   13.7  13.5   .537   .527
1992   Kevin Johnson    Phe   .937   78   836   783   10.7  10.0   .406   .380
1992   Tim Hardaway      GS   .965   81   807   779   10.0   9.6   .333   .321
1992                                 
1993   John Stockton    Uta   .997   82   987   984   12.0  12.0   .498   .496
1993   Tim Hardaway      GS   .913   66   699   638   10.6   9.7   .398   .363
1993   Scott Skiles     Orl   .975   78   735   717    9.4   9.2   .348   .339
1993
year      player        team   fac    G   Ast  Ast2   As/G  As/G2   Ast%  Ast%2                               
1994   John Stockton    Uta  1.006   82  1031  1037   12.6  12.7   .531   .534
1994   Muggsy Bogues    Cha   .970   77   780   756   10.1   9.8   .392   .380
1994   Mookie Blaylock  Atl  1.000   81   789   789    9.7   9.7   .404   .404
1994                                 
1995   John Stockton    Uta   .966   82  1011   976   12.3  11.9   .526   .508
1995   Kenny Anderson    NJ   .926   72   680   630    9.4   8.7   .431   .399
1995   Muggsy Bogues    Cha   .914   78   675   617    8.7   7.9   .403   .368
1995   Avery Johnson     SA  1.035   82   670   693    8.2   8.5   .334   .346
1995  -  Avery easily over Muggsy, and almost takes 2nd
                             
1996   John Stockton    Uta   .958   82   916   877   11.2  10.7   .491   .470
1996   Jason Kidd       Dal  1.005   81   783   787    9.7   9.71  .415   .417
1996   Avery Johnson     SA   .966   82   789   762    9.6   9.3   .391   .378
1996   Rod Strickland   Por  1.015   67   640   650    9.6   9.70  .434   .441
1996   Damon Stoudamire Tor   .951   70   653   621    9.3   8.9   .374   .356
1996   -  A 3-way race for 2nd becomes a 2-way near-tie; Damon wasn't that close.
year      player        team   fac    G   Ast  Ast2   As/G  As/G2   Ast%  Ast%2                             
1997   Mark Jackson  Den-Ind 1.016   82   935   950   11.4  11.6   .482   .490
1997   John Stockton    Uta   .991   82   860   852   10.5  10.4   .460   .456
1997   Rod Strickland   Was  1.038   82   727   754    8.9   9.2   .381   .395
1997                                 
1998   Rod Strickland   Was   .999   76   801   800   10.5  10.5   .431   .430
1998   Jason Kidd       Phx   .942   82   745   702    9.1   8.6   .356   .335
1998   Mark Jackson     Ind  1.021   82   713   728    8.7   8.9   .467   .477
1998                                 
1999   Jason Kidd       Phx   .950   50   539   512   10.8  10.2   .440   .418
1999   Rod Strickland   Was   .953   44   434   414    9.9   9.4   .459   .437
1999   Gary Payton      Sea  1.002   50   436   437    8.7   8.7   .413   .414
1999                                 
2000   Jason Kidd       Phx   .962   67   678   652   10.1   9.7   .401   .386
2000   Nick Van Exel    Den   .932   79   714   665    9.0   8.4   .397   .370
2000   Sam Cassell      Mil   .963   81   729   702    9.0   8.7   .411   .396
2000   Gary Payton      Sea   .949   82   732   695    8.9   8.5   .377   .358
2000   John Stockton    Uta   .968   82   703   680    8.6   8.3   .481   .466
2000                                 
2001   Jason Kidd       Phx   .956   77   753   720    9.8   9.3   .412   .394
2001   John Stockton    Uta  1.001   82   713   714    8.7   8.7   .487   .488
2001   Nick Van Exel    Den   .914   71   600   548    8.5   7.7   .384   .351
2001   Mike Bibby       Van   .983   82   685   673    8.4   8.2   .383   .376
2001                                 
2002   Andre Miller     Cle   .924   81   882   815   10.9  10.1   .498   .460
2002   Jason Kidd        NJ   .998   82   808   806    9.9   9.8   .425   .424
2002   Gary Payton      Sea   .967   82   737   712    9.0   8.7   .394   .381
2002  -  'Dre almost didn't 'really' win that assist title.
year      player        team   fac    G   Ast  Ast2   As/G  As/G2   Ast%  Ast%2                                 
2003   Jason Kidd        NJ   .986   80   711   701    8.9   8.8   .422   .416
2003   Jason Williams   Mem   .953   76   631   601    8.3   7.9   .419   .399
2003   Stephon Marbury  Phx   .954   81   654   624    8.1   7.70  .366   .349
2003   John Stockton    Uta  1.010   82   629   635    7.7   7.75  .464   .469
2003                                 
2004   Jason Kidd        NJ   .972   67   618   601    9.2   9.0   .448   .436
2004   Steve Nash       Dal  1.008   78   687   692    8.8   8.9   .383   .386
2004   Sam Cassell      Min   .910   81   592   539    7.3   6.7   .380   .346
2004   Eric Snow        Phl  1.001   82   563   564    6.9   6.9   .330   .330
2004  -  Sam's fabulous '04 was vastly inflated. Nash was nearly on top already.
                                 
2005   Steve Nash       Phx  1.003   75   861   863   11.5  11.5   .492   .493
2005   Brevin Knight    Cha   .969   66   591   572    9.0   8.7   .493   .478
2005   Jason Kidd        NJ   .961   66   545   524    8.3   7.9   .406   .390
2005   Stephon Marbury   NY  1.003   82   668   670    8.1   8.2   .360   .361
2005  -  Marbs gets short shrift. He really was better!
year      player        team   fac    G   Ast  Ast2   As/G  As/G2   Ast%  Ast%2                                 
2006   Steve Nash       Phx  1.035   79   826   855   10.5  10.8   .444   .460
2006   Brevin Knight    Cha  1.013   69   610   618    8.8   9.0   .423   .429
2006   Chauncey Billups Det   .980   81   699   685    8.6   8.5   .393   .385
2006                                 
2007   Steve Nash       Phx  1.037   76   884   916   11.6  12.1   .501   .519
2007   Deron Williams   Uta   .989   80   745   737    9.3   9.2   .416   .411
2007   Jason Kidd        NJ   .945   80   736   695    9.2   8.7   .414   .391
2007   Chris Paul        NO   .986   64   569   561    8.9   8.8   .413   .407
2007                                 
2008   Chris Paul        NO   .932   80   925   862   11.6  10.8   .522   .487
2008   Steve Nash       Phx  1.063   81   897   954   11.1  11.8   .472   .502
2008   Deron Williams   Uta   .984   82   862   848   10.5  10.3   .436   .429
Finally, a clear upset. Nash should definitely have won his 4th straight assist title.
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DLew
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PostPosted: Sun Sep 21, 2008 3:50 pm    Post subject: 	Reply with quote
Mike,
If I understand what you're doing correctly, then I think you've made a slight error in your adjustment. Let's say we have a player with 820 assists in 82 games (41 at home 41 on the road). Right now you are assuming that he got 410 assists at home and adjusting those down by a factor, lets say .8 (.8 * 410 = 328). So, you would say this hypothetical player should have 738 assists.
However, isn't it more likely that more likely that the player got a lot more of his assists at home? Isn't more likely that he had 500 assists at home and 320 on the road, which would yield an estimate 720 true assists?
So, basically the quick and easy way to improve this is use the home/road assist ratio to make sure that you apply the adjustment to the appropriate number of assists.
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Mike G
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PostPosted: Sun Sep 21, 2008 4:34 pm    Post subject: 	Reply with quote
David, thanks for the input.
Yes, I do see your point. Most teams score more FG at home, as well as having higher Ast/FG at home. And some players work more minutes on the road (because they aren't in as many blowout wins?) This was a rather more streamlined first approach, pointing out possibilities.
In my 1987 Magic Johnson example, using your suggestion, his 977 assists were 520 at home, 457 on the road. He played more road minutes (in 40 G each) away from LA, 1484-1420.
457 + 520*.82 = 457 + 426 = 883 'adjusted' assists.
My 1st adjustment yielded 890. Given that LA's .911 factor is to date the very worst for a team with the league's assist champ, I doubt I'd get much more insight by looking up each player's splits (from the list above).
The list mostly serves as a taking-off point for closer study. Did Chris Paul get a higher % of his team's assists on the road?
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Harold Almonte
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PostPosted: Sun Sep 21, 2008 5:22 pm    Post subject: 	Reply with quote
This is what I was trying to say in the other thread. There are bookeepers who inflate locals's assists (especially PGs's or favorites's), while others (very few) are very stingy, or excesivelly fair. But, there are as well a lot of teams which play a lot better at home, with a healthier first factor, meaning some more (really or possible) "fair and deserved assists". How do we separate home inflation from better play?
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Ryan J. Parker
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PostPosted: Sun Sep 21, 2008 5:32 pm    Post subject: 	Reply with quote
Quote:
How do we separate home inflation from better play?
This is why we examine the percentage of made field goals that ended up with an assist awarded. If each team theoretically plays the same style, then playing better should not affect this metric.
That doesn't we have a clear picture, but it's the best we can get without trying to examine the rates a team should get for specific types of shots, lineup usage, or any other factor that would affect this metric.
I do think it's more informative to simply look at differences between arenas, instead of jumping straight to the conclusion if bias. This is clearly going to happen, but it might be just as informative (if not more) if we understand the difference between the way different people (in this case arenas) view an assist.
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Harold Almonte
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PostPosted: Sun Sep 21, 2008 6:15 pm    Post subject: 	Reply with quote
Quote:
This is why we examine the percentage of made field goals that ended up with an assist awarded. If each team theoretically plays the same style, then playing better should not affect this metric.
Why not? They can have some percentage of variation even remaining at the same "style" (same pace, same PGs, same scorers, same coaching, even same FT/FG). Don't home advantage affect other stats? Are they supposed to have the same SOS at home than road?
About the arenas, what we could see from Mike's chart was that bookeepers who were "suposedly" stingy with locals, invariably did the same with visitors (both teams suposedly changed styles - by what force?); and some teams which were known as very good defenders, the local bookeeper were stingy with visitors only, but the opposite with local. Then we have of both effects.
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Ryan J. Parker
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PostPosted: Sun Sep 21, 2008 7:10 pm    Post subject: 	Reply with quote
Well that is the assumption we're using, at least. Of course it is possible that a team playing "better" could in turn shoot more from assist-able positions, but I'm not sure we can even measure this.
The other things I mentioned before are certainly measurable in some way, and in reality can be a direct result of "playing better". I understand what you're saying, and I think some of that can come from measuring other variables that directly affect the ratio.
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Mike G
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PostPosted: Mon Sep 22, 2008 6:43 am    Post subject: 	Reply with quote
Of 614 team-seasons since 1987, just 90 (14.7%) have had more assists on the road. Only 78 (13%) have scored more FG on the road. 151 (24.6%) have a higher 'away' Ast/FG ratio. The average road team has been awarded assists on .582 of their FG; at home, .620 .
Virtually no team has gotten more FT on the road, or actually played better (won more) overall.
Sometimes scorekeepers inflate their home players' assist rates in response to a downward trend in the assist department. Perhaps they honestly believe their guys 'should be' getting a certain number; or they deliberately cook the books to make them 'look better' in this one category. Since it doesn't affect the game, they can operate without much scrutiny.
I doubt than many home assists are actually unrecorded, anywhere or anytime. Even a 'stingy' team like the Suns is probably giving out a certain number of iffy assists. And everyone else is giving more.
The stingiest team of all was the Clippers of 1996-1999. For these 4 years, their away Ast/FG was just about average -- .582 -- while at home they got only .466 . If we were to use this as a baseline, then 20% of all NBA assists are inflated, extra, in addition to what is strictly defined. On top of this 20% extra, most scorekeepers pad even more onto their home teams: on average, +6%.
That 6% brings the average home inflation to some 126% of the Clipper Line, and includes the 15% of teams that actually resist the leaguewide assist generosity (fewer Ast at home). The 1997 thru '99 Raptors gave their boys another 32% at home. In the same years, a player in Toronto would get 50-55% more assists (at home) than he'd get for the Clipps.
So, Damon Stoudamire may have looked like an assistinger player than Pooh Richardson, in those years. But in fact, maybe he wasn't.
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Harold Almonte
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PostPosted: Mon Sep 22, 2008 5:41 pm    Post subject: 	Reply with quote
I think a 20% is too high, I prefer to think is maybe half this, and that this bookeeper just was doing a negligent job. If it was even a league historical overall generosity of 10%, then probably are the rules which need to be adapted (custom makes rules, and assists just count for ratings-and rates, and not for win-lose or possession game decissions as scored points, or like TOs, or fouls). Probably they got to be impressed and are rewarding good playmaking, by crediting some "one, and two moves by scorer"- assists, as a result of an excellent or very decisive pass and playmaking (the Suns's bookeeper would be an stoic for not to say a game un-lover, if this is the case).
If this is the case, it should be the league or metricians (teams's and independents) who need to be worry about?
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Mike G
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PostPosted: Mon Sep 22, 2008 6:21 pm    Post subject: 	Reply with quote
Harold,
I'm not suggesting that everyone since 1987 (or until whatever time we may come up with home/away splits) should have their assists reduced by 0-35%, leaving intact rates before 1987. As you suggest, probably there's always been home bias (and 'arena bias') happening.
But for comparing players in a given year, since 1987, these ratios are enlightening. Maybe if we can bring these discrepancies to light, homerist assist-counters won't be quite so blatant.
In any case, whatever adjustment one makes should be fair to all players in a given season. There does seem to be less home bias in the 21st century; so maybe, before '87, there was even more?
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Mike G
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PostPosted: Mon Nov 24, 2008 8:58 am    Post subject: 	Reply with quote
Last year's most biased home-assist scorekeepers, those in Denver, seem to be up to their old tricks again. On the road, just 58% of their FG have been assisted, vs 73% at home. One of every six is bogus!
The Suns, meanwhile, are getting just 51% of their FG counted as assisted at home, while their opponents' scorekeepers have adjudged that 66% of Suns' FG are assisted.
Factoring in these (small-sample) discrepancies, some guys whose assist rates appear pretty similar, perhaps shouldn't :
Code:
team  AFac   player  Ast%  Adj%
Den   .90   Billups  32.8  29.5
Phx  1.14   S Nash   36.9  42.2
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Mike G
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PostPosted: Sat Nov 29, 2008 6:45 am    Post subject: 	Reply with quote
Great news, I think. This year, home assist bias has been significantly less than it was last year. The average team is only boosting their homeboys' assists by 3.3% (over what the same players get on the road), compared to 5.3% last year.
Code:
As/FG  Home   Away   diff
0708   .598   .568   .030
0809   .573   .555   .018
The Suns were 2nd-stingiest (after Sac) last year in home assist bias. This year, they're off the charts, though. A few teams were relatively stingy last year and are even stingier this season:
Code:
 tm    2008    2009   diff
Phx   1.064   1.164   .100
Mia   1.041   1.077   .036
Ind   1.011   1.026   .015
These are the 'home assist factors' described upthread (with the DLew suggestion). At this early stage in the season, assuming 1/2 of games at home and away is generally wrong. Phx, though has played 8 at home and 9 on the road. Knowing that, their factor could be changed to 1.150; but the league as a whole wouldn't change.
Last year, these teams were anti-biased, but they've relaxed their standards this season:
Code:
 tm    2008    2009    diff
Orl   1.010    .973   -.037
Cha   1.023    .982   -.041
Chi   1.007    .956   -.052
NYK   1.061   1.009   -.052
Mem   1.033    .937   -.095
A few teams that had bias last year and have been even worse this year:
Code:
 tm   2008   2009    diff
Atl   .921   .885   -.036
Was   .974   .936   -.038
Phl   .957   .911   -.046
The Hawks have played just 6 of 15 at home.
15 teams had bias last year but have reduced (or reversed) that so far this season. Significantly:
Code:
 tm   2008    2009   diff
SAS   .959   1.046   .087
GSW   .949   1.029   .080
Det   .943   1.003   .060
LAL   .952   1.011   .059
Bos   .919    .974   .055
Min   .977   1.026   .049
Por   .921    .968   .048
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gabefarkas
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PostPosted: Mon Dec 01, 2008 12:01 pm    Post subject: 	Reply with quote
I think it might have been mentioned already either in this thread or the one it spun off from, but I'm curious what people think of this article examining home team bias from refs. It makes some similar points, citing a few numbers to back them up, too.
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Mike G
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PostPosted: Fri Mar 06, 2009 7:44 am    Post subject: 	Reply with quote
Big shout-out to the Atlanta Hawks, or to their scorekeeper. Giving assists on .659 of their FG at home, while the rest of the league gives them .511 (in other cities). The difference (jack factor) of .148 is highest of any team since Den'04 (.161) and 8th worst since 1987.
The league overall has reduced from an average of .030 jack last year, to .025 this year. The Hawks regressed most, .049 worse than last season; followed by Dal (.047) and Mem (.044).
Most-improved are SAS (-.064), Por (-.061), Det (-.049), Ind (-.046).
Phx is still the model of moderation; giving their boys but .523 Ast/FG, while the rest of the league gives them .619 . If .100 were subtracted league-wide, we'd guess about 10% of all assists are 'bogus'.
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Mike G
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PostPosted: Mon Mar 09, 2009 8:33 am    Post subject: 	Reply with quote
Who is the Real assist champ this year?
Chris Paul appears to be walking away with it. But again, his assists have been greatly inflated by homer scorekeeping, relative to others.
The prefix 'e' can be read 'equivalent'.
Code:
Ast  Ast/G    Ast%   Assists       tm   AsFac   G   eAst  eAs/G   eAs%
619  11.05   .551   Paul,Chris     NOH   .936   56   579  10.35   .516
521   8.40   .401   Rondo,Rajon    Bos   .943   62   491   7.92   .378
521   8.40   .342   Kidd,Jason     Dal   .936   62   487   7.86   .320
513   9.68   .429   Nash,Steve     Phx  1.092   53   560  10.57   .468
497  10.57   .479   Williams,Deron Uta   .983   47   488  10.39   .471
463   7.85   .290   Duhon,Chris    NYK  1.027   59   475   8.06   .298
452   7.53   .409   Wade,Dwyane    Mia  1.057   60   477   7.96   .432
417   6.95   .373   James,Lebron   Cle   .959   60   399   6.66   .358
411   6.74   .314   Felton,Raymond Cha  1.006   61   413   6.78   .316
408   8.50   .396   Calderon,Jose  Tor  1.003   48   409   8.53   .397
Ast% is the fraction of teammate FG the player assists (from b-r.com). eAst, eAs/G, and eAs% are just the official numbers multiplied by team Assist Factor (AsFac).
AsFac = ((AAst/AFG)/(HAst/HFG)*HFG)+AFG)/(HFG+AFG)
H and A are Home and Away season totals for the team.
AAst/AFG represents a team's 'true' % of FG assisted: what the rest of the league records.
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Mike G
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PostPosted: Fri Apr 03, 2009 6:55 am    Post subject: 	Reply with quote
Mike G wrote:
Big shout-out to the Atlanta Hawks, or to their scorekeeper. Giving assists on .659 of their FG at home, while the rest of the league gives them .511 ...
Holy cow. Since this appeared (Mar.6), Atl has played 11 home games, and awarded assists on only .514 of their FG.
They also won 9 of the 11. Instant karma!
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Odysseus
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PostPosted: Thu Apr 09, 2009 9:36 pm    Post subject: assists discrepancy 	Reply with quote
Have you considered the road teams maybe be negatively affected?
What I mean is that the home scorers grade the home team appropriately but are negatively biased against visiting teams?
Perhaps seeing the home team run so many of the same plays they can piece together longer strings of action and assign assists while for the visiting team (because the faces, skills, and team plays change) the scorers have trouble keeping track of the action and are less likely to attribute causality to the point guards of the other team?
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Mike G
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PostPosted: Mon Apr 13, 2009 6:57 am    Post subject: 	Reply with quote
Home team bias may be manifested as being overly-generous to the home team, or overly-stingy to the visitors. It's hard to say which it is.
A couple of years ago, some here were trying to explain why Phx opponents got so few assists. Was the Suns' D such that opponents got lots of 1-on-1 opportunities and hardly had to pass the ball? A lot of unlikely possibilities.
All along, right under our noses, was the home-away split of Suns and their opponents. For this year --
http://www.basketball-reference.com/fc/ ... &year=2009
(per game averages)
Code:
@Phx     FG      Ast    A/FG
Suns    42.6    22.7    .533
Opp     39.6    18.8    .475
           
@opp     FG      Ast    A/FG
Suns    39.7    23.7    .597
Opp     40.3    23.7    .588
At Phx, the Suns get 12% more assists (per FG) than their opponents. On the road, they get just 1.5% more. Whether this bias is deliberate or unconscious, it's about par for the league.
Suns' opponents in those opponents' houses get assists on 59% of their FG, while playing the Suns --which is right at the league average. So it's nothing to do with Phx style of play; just that Phx scorekeepers don't grant assists very freely.
Meanwhile, Suns' opponents' scorekeepers have no apparent trouble noticing Suns' assists, and actually give them 12% more (than their own scorekeepers give). I don't call this bias (as in 'for the home team') but generosity.
What I've been tracking this year is the bias aspect that can be found in these splits. The question of whether the league as a whole is too generous (or the degree of the generosity) is more a matter of aesthetics, to me.
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CareyScurry
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PostPosted: Sun May 17, 2009 11:13 pm    Post subject: A junk response to the issue... 	Reply with quote
Granted, it's implied in the above posts - but - to be clear...
Isn't this two issues:
* A given scorer might be overly (dis-)inclined to grant assists and,
* A given scorer might show (unusually little/excessive) favoritism to home players
Accordingly, my quick-n-dirty response back when I first thought about this was to create separate factors, multiply them together, and use the square root (didn't revert to mean, only used single year of data at a time). This is fraught with problems (why presume these issues are of equal importance, % of pt given to types of lineups/strategies/indiv. players is the same in both settings, this functional form, yadda yadda), but - again - this was a junk response.
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Mike G
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PostPosted: Thu May 21, 2009 8:41 am    Post subject: 	Reply with quote
Through 2 rounds of playoffs, Orlando Ast/FG ratio has been .61 on the road and just .46 at home.
Boston scorekeepers, meanwhile, have given their Celtics assists on .65 of their FG at home, while they've gotten .567 on the road.
Versus Chicago, there was no apparent bias: Celts Ast/FG was .56 in Bos and .57 in Chi. It all blew up in the Orlando series. Celts' A/F was .56 in Orl, .76 in Bos.
Meanwhile, Orl got .48 at home and .64 in Boston.
Relative to Orlando's scorekeeper, Boston's gave Orl 34% more assists and the Celts 36% more.
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mtamada
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PostPosted: Thu May 21, 2009 4:02 pm    Post subject: Re: A junk response to the issue... 	Reply with quote
CareyScurry wrote:
Isn't this two issues:
* A given scorer might be overly (dis-)inclined to grant assists and,
* A given scorer might show (unusually little/excessive) favoritism to home players
Yeah, it's a classic example of what econometricians call the "identification problem", when one observed statistical pattern can be explained by two or more competing hypotheses.
There's an additional complication: forget about the scorers, some teams have higher or lower true (meaning unbiased by scorers) assist rates. Which of course is obvious, that's basically what we're trying to measure in the first place. But in addition, what if some teams have higher or lower assist rates at home than on the road? Maybe they fastbreak more at home, or rely more on the 3-pointer on the road, or whatever. Now we have to disentangle that from the home-road scorer's bias, adding further to the identification problem.
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Mike G
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PostPosted: Fri May 22, 2009 7:59 am    Post subject: 	Reply with quote
It was precisely to distinguish between these 2 tendencies that this thread was created. Home team 'favoritism', which I called 'bias' is what matters in determining a 'standardized' measure of players' assist rates.
Here are the 2009 Home and Away ratios of Ast/FG (Ast%) . A team's Away Ast% should be pretty close to their 'real' rates -- after all, these represent the average rates given them by the other 29 NBA teams; and the ratio of HAst%/AAst% reveals Home Assist Bias, or home jack factor.
The JacFac column represents Home + Away FG and Ast. So a player for that team could have his assists divided by this factor to get his season 'equivalent/standardized' assists (presuming he played equal home/away minutes).
Code:
2009    HAs%    AAs%    Jack     JFac
Den    .659    .529    1.245    1.111
Atl    .608    .511    1.191    1.089
Dal    .613    .522    1.173    1.082
LAL    .619    .534    1.158    1.074
NOH    .594    .513    1.157    1.072
Mil    .641    .554    1.156    1.075
Was    .583    .514    1.134    1.063
Cle    .579    .520    1.114    1.055
Phl    .577    .522    1.107    1.051
Por    .578    .524    1.104    1.051
Bos    .633    .576    1.099    1.049
NJN    .584    .535    1.092    1.044
LAC    .607    .559    1.086    1.041
GS     .548    .509    1.077    1.038
Det    .584    .549    1.063    1.031
 tm     HAs%    AAs%    Jack     JFac
Hou    .577    .546    1.056    1.028
Uta    .658    .630    1.044    1.022
Chi    .564    .544    1.035    1.017
Cha    .616    .600    1.026    1.013
SAS    .577    .564    1.022    1.011
Tor    .602    .599    1.005    1.003
Orl    .542    .546     .991     .996
Sea    .550    .559     .984     .992
Mem    .491    .503     .976     .988
Min    .554    .568     .975     .987
Sac    .526    .558     .942     .970
Ind    .531    .572     .929     .963
NYK    .527    .575     .916     .956
Phx    .536    .596     .898     .945
Mia    .513    .589     .871     .930
At the bottom are 9 teams who actually gave fewer assists at home.
Leaguewide, Away Ast/FG was .551 (home .579). So we see here several teams who (by official assist totals) seem to pass the ball less than the average team; but in fact, they pass/assist more than average.
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mtamada
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PostPosted: Fri May 22, 2009 1:37 pm    Post subject: 	Reply with quote
Mike G wrote:
IA team's Away Ast% should be pretty close to their 'real' rates
It'd be very close to their real ROAD Asst%, but that's only going to be an approximation of their real overall (and home) Asst%. If a team's home Asst% is identical to its road Asst%, no problemo we're done. But that's an unverified (and difficult to verify) assumption: do teams have the same (real, unjacked) Asst% at home and on the road?
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Mike G
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PostPosted: Fri May 22, 2009 3:59 pm    Post subject: 	Reply with quote
mtamada wrote:
.. do teams have the same (real, unjacked) Asst% at home and on the road?
You mean, as in :
Quote:
Maybe they fastbreak more at home, or rely more on the 3-pointer on the road, or whatever.
?
Do fastbreaks get more Ast/FG, or do 3-pt attempts? I sure don't know. Nor would I suppose teams have a 'road game plan' and a 'home game plan'.
Teams' home Ast/FG tend to be distinctly higher than away Ast/FG. Actual assists (and FG) are not so dramatically different. All teams shoot more FT at home, and no assists are granted for these.
Maybe some scorekeepers are trying (perhaps unconsciously) to make up for passes which lead to a foul: 2 FT but no assist. If you were inclined to favor the counting of 'assisted fouls drawn', you might toss in an extra assist here and there.
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Ryan J. Parker
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PostPosted: Fri May 22, 2009 5:00 pm    Post subject: 	Reply with quote
Quote:
Do fastbreaks get more Ast/FG, or do 3-pt attempts?
I think this is an important question to answer before we start talking about any inherent bias. Hopefully I will have an answer on this soon.
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Mike G
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PostPosted: Sat May 23, 2009 7:23 am    Post subject: 	Reply with quote
Ryan, to get useful estimates wouldn't you just about have to visually review every single assist? How much additional adjustment would you optimistically expect to create?
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Ryan J. Parker
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PostPosted: Sat May 23, 2009 9:28 am    Post subject: 	Reply with quote
I'm simply talking about looking at the AST/FGM ratios given how the play started.
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Mike G
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PostPosted: Mon May 25, 2009 9:34 am    Post subject: 	Reply with quote
Ryan J. Parker wrote:
... before we start talking about any inherent bias.
But the cat is long gone from the bag. I'll boldly predict that the extreme difference (1245/871) of some 43% easier-to-get assists in Denver (vs in Miami) will hardly be dented by any inference about home/away playing styles.
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Ryan J. Parker
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PostPosted: Mon May 25, 2009 10:52 am    Post subject: 	Reply with quote
Could you reference where the "1245/871 of some 43%" comes from? Not sure I understand you exactly.
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Mike G
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PostPosted: Mon May 25, 2009 12:49 pm    Post subject: 	Reply with quote
Denver tops the list above, at 1.245 as many Ast per FG at home (as away).
Miami gave their own team only .871 as many at home.
Drop the decimal, the ratio remains the same.
DWade got 7.2 Ast/G in Miami. Acquire the Nuggets' scorekeeper, and he gets 7.2 * 1245/871 = 10.3 Ast/G in Miami. Pretty dramatic, no?
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mtamada
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PostPosted: Wed May 27, 2009 12:56 am    Post subject: 	Reply with quote
Mike G wrote:
Do fastbreaks get more Ast/FG, or do 3-pt attempts?
I sure don't know.
Precisely. So should we just assume neutrality of teams' performances, and statistics, when we compare their home Asst% to their road Asst%? Or is it possible that they differ?
Quote:
Nor would I suppose teams have a 'road game plan' and a 'home game plan'.
It doesn't have to be a difference in plans, simply a difference in the RESULTS, a difference in the statistics that they generate (meaning, the "true" statistics, not stats biased by scorekeepers). You're not denying that teams have different stats on the road vs at home are you? Including, quite possibly, a different Asst% on the road vs at home -- a true one, not one caused by scorekeeper bias.
IOW, we have an identification problem. A team's road Asst% gives us a good estimate of their true road Asst%, but we don't know what their true home Asst% should be. If it's higher, is it because of a friendly home scorekeeper? Or because they truly generate a higher Asst% at home?
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wmchad
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PostPosted: Wed May 27, 2009 9:25 am    Post subject: 	Reply with quote
Quote:
It doesn't have to be a difference in plans, simply a difference in the RESULTS, a difference in the statistics that they generate (meaning, the "true" statistics, not stats biased by scorekeepers).
I think that, if you have the play by play data, you should be able to get better answers. Particularly, you can see what the Asst% is for various shot types and see how those change at home vs. on the road. That wouldn't eliminate the uncertainty entirely, but it may shed some additional light on the issue.
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mtamada
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PostPosted: Thu May 28, 2009 8:17 pm    Post subject: 	Reply with quote
wmchad wrote:
Quote:
It doesn't have to be a difference in plans, simply a difference in the RESULTS, a difference in the statistics that they generate (meaning, the "true" statistics, not stats biased by scorekeepers).
I think that, if you have the play by play data, you should be able to get better answers. Particularly, you can see what the Asst% is for various shot types and see how those change at home vs. on the road. That wouldn't eliminate the uncertainty entirely, but it may shed some additional light on the issue.
That's an excellent idea, with a lot of potential. I don't know how well the play-by-play data distinguishes between various types of mid-range shots (open, covered, double-teamed), but 3-pointers on the one hand and dunks and layins on the other are clearly distinguishable and probably have different assist rates (especially if one leaves out the dunks and layins generated by offensive rebounds).
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NewCollegeHokage
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PostPosted: Thu May 28, 2009 11:06 pm    Post subject: 	Reply with quote
Play by plays on basketball value. I've got a feeling there's a program to figure this out, Project Super Awesome Stats the Rockets Should be Giving us Anyways. If not, anyone want to split up some games and find Ast% for 3s, dunks and layups?
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Ryan J. Parker
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PostPosted: Thu May 28, 2009 11:16 pm    Post subject: 	Reply with quote
Quote:
anyone want to split up some games and find Ast% for 3s, dunks and layups?
Hey this is something I can do. Cool For the 08-09 season:
Code:
Type      FGM      AST      AST%
3pt      16,024   13,751   85.8%
Dunks     9,135    6,649   72.8%
Layups   26,400   12,557   47.6%
Any data collection errors are my own.
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wmchad
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PostPosted: Fri May 29, 2009 11:41 am    Post subject: 	Reply with quote
Ryan J. Parker wrote:
Hey this is something I can do. Cool For the 08-09 season:
Code:
Type      FGM      AST      AST%
3pt      16,024   13,751   85.8%
Dunks     9,135    6,649   72.8%
Layups   26,400   12,557   47.6%
Any data collection errors are my own.
If it isn't too much of a problem, can you break it down by home and away, as well as including 2pt jumpers (or other categories you have)? I assume that there are some missing shots here since the total assisted percentage is 63.9%, whereas from basketball reference the number is 56.5%.
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Ryan J. Parker
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PostPosted: Fri May 29, 2009 11:47 am    Post subject: 	Reply with quote
I'll do you one better than that, but it'll take some time. The work I'm doing now will allow me to flow right into that sort of analysis, but I gotta get it done first. Very Happy
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Mike G
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PostPosted: Sun Feb 20, 2011 8:57 am    Post subject: 	Reply with quote
This year's Home and Away Assist disparities, as of the All-Star break.
Code:
   Assists per FG            home          Blocks per 100 Opp FGA      home
 tm    away    home     A/H   xAst       tm    away    home     A/H   xBlk
LAC    .545    .643    .848   108        Cha    5.51    8.72    .631    72
Atl    .579    .668    .868    86        Chi    5.81    8.84    .657    71
Cle    .573    .657    .872    78        LAC    4.37    7.08    .617    65
GSW    .540    .603    .897    76        SAS    4.75    6.68    .712    44
Min    .495    .561    .881    72        NOH    4.70    6.56    .716    40
Okl    .509    .575    .884    68        Min    5.81    7.44    .782    38
Was    .518    .584    .887    66        Was    6.62    8.36    .791    38
Chi    .555    .611    .908    61        Sac    5.27    6.71    .785    34
SAS    .574    .630    .911    59        Den    4.07    5.35    .761    32
NOH    .556    .604    .921    49        GSW    4.86    6.07    .800    30
Den    .538    .581    .927    48        Okl    6.09    7.30    .834    27
Phl    .568    .616    .923    46        Ind    6.34    7.48    .847    26
Orl    .535    .567    .943    35        Phx    4.42    5.39    .819    24
Cha    .585    .618    .946    33        Phl    4.59    5.73    .801    24
Det    .542    .571    .951    31        Uta    7.00    7.84    .893    20
   Assists per FG            home          Blocks per 100 Opp FGA      home
 tm    away    home     A/H   xAst       tm    away    home     A/H   xBlk
Tor    .555    .581    .956    28        LAL    5.75    6.59    .872    19
LAL    .562    .587    .956    27        Mil    6.17    7.12    .865    19
Bos    .632    .656    .964    27        Det    4.95    5.64    .878    16
Dal    .621    .638    .973    18        Mia    6.54    7.13    .917    12
NJN    .569    .571    .997     2        Orl    5.10    5.57    .917    11
Mil    .545    .540   1.009    -4        Hou    5.44    5.86    .928    10
Por    .596    .585   1.020   -11        Cle    4.67    5.10    .917     9
Mia    .548    .527   1.040   -19        Atl    4.92    5.34    .920     9
Ind    .566    .547   1.035   -19        NJN    5.64    6.03    .935     9
Phx    .607    .588   1.032   -21        Mem    6.42    6.73    .954     7
Sac    .533    .510   1.045   -25        Tor    4.98    5.23    .953     6
Hou    .621    .594   1.045   -29        Bos    5.64    5.86    .963     5
NYK    .572    .545   1.050   -29        Dal    5.22    5.42    .963     5
Mem    .529    .500   1.056   -30        NYK    7.51    7.18   1.046    -7
Uta    .671    .620   1.082   -58        Por    6.63    5.85   1.133   -15
avg    .565    .589    .961    26        avg    5.53    6.54    .854    23
xAst, or extra assists at home, could be subtracted from teams' assist totals, and their home Ast/FG ratios would then equal their away Ast/FG.
Same deal for xBlk.
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greyberger
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PostPosted: Sun Feb 20, 2011 4:55 pm    Post subject: 	Reply with quote
Thanks for posting this, Mike.
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Mike G
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PostPosted: Mon Feb 21, 2011 10:16 am    Post subject: 	Reply with quote
Finding 116 players who have at least 70 Assists at home, or at least 25 home blocked shots, or both, I've reviewed their home/away splits to find who seems to have big disparities.
The Clippers have the biggest Ast H/A disparity -- their Away Ast/FG ratio is just .545 (NBA avg = .565) and at home they're .643 . They're a below-average Ast team posing (at home) as an elite Ast team: Only the Jazz have a higher Ast% (.671 on the road).
Not surprisingly, then, an LAC player leads the league in 'extra' assists at home.
Code:
xHAs   at Home         tm  HAst  AAst   HAs%   AAs%  eHAs
48   griffin,blake    LAC   126    70   .214   .132    78
46   paul,chris       NOH   298   259   .497   .420   252
38   parker,tony      SAS   197   178   .398   .322   159
36   hinrich,kirk     Was   124    86   .267   .191    88
35   rose,derrick     Chi   259   176   .432   .374   224
34   jackson,stephen  Cha   125    78   .216   .158    91
33   nash,steve       Phx   349   240   .572   .518   316
32   billups,chauncey Den   150   121   .287   .226   118
31   wright,dorell    GSW   115    62   .140   .102    84
31   gibson,daniel    Cle    86    55   .226   .144    55
29   stuckey,rodney   Det   132    83   .284   .222   103
27   horford,al       Atl   105    78   .208   .155    78
26   harris,devin     NJN   209   202   .456   .399   183
26   terry,jason      Dal   138   105   .255   .208   112
24   ridnour,luke     Min   155    96   .313   .265   131
24   ellis,monta      GSW   176   123   .240   .208   152
Assist% = Ast/((TmFG*MPG/48)-FG)
which is % of teammate FG a player has assisted, while on the court.
Equivalent Home Assists: eHAst = (AAst%/HAst%)*HAst
That is, a players HAst if his Home Ast% were = his Away Ast%.
Extra Home Assists: xHAst = HAst - eHAst
Chris Paul has been the perennial leader in this dubious category. This year, it won't help him win the Assist title.
Rajon Rondo has just 1 questionable assist among his 316 in Boston. Either that, or he gets just as many away from home.
It's odd to see Nash up there, since most years he's been in the negative -- Phx' scorekeepers have not and still do not write down as many assists for the Suns as others' do.
His Away Ast% (.518) is just about the same as last year's official Ast% (.509).
Just a handful of players would have more than 14 additional assists if they could get them at home as readily as on the road:
Code:
xHAst                 tm  HAst  AAst   HAs%   AAs%  eHAst
-31   holiday,jrue   Phl   142   205   .255   .312   173
-30   gasol,marc     Mem    51    99   .093   .146    81
-28   bibby,mike     Atl    79   123   .159   .216   107
-27   frye,channing  Phx    20    39   .031   .074    47
-27   mcgrady,tracy  Det    85   104   .206   .270   112
There's Frye representing the Suns who don't get more assists at home. Just 42% as well, in fact.
Player and team minutes and FG also factor into the Ast%.
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PostPosted: Mon Feb 21, 2011 8:54 pm    Post subject: 	Reply with quote
Since I have them, here are dubious Block splits.
Code:
xHBk                 team  HBlk ABlk  HBk%   ABk%  eHBk
35   mcgee,javale     Was   78   43   3.55   1.96   43
28   jordan,deandre   LAC   63   31   2.64   1.47   35
25   bogut,andrew     Mil   75   56   3.79   2.50   50
22   thomas,tyrus     Cha   39   17   1.74    .76   17
18   dalembert,samuel Sac   51   28   2.18   1.39   33
18   milicic,darko    Min   68   49   2.87   2.09   50
18   gibson,taj       Chi   53   30   2.28   1.50   35
18   biedrins,andris  GSW   31   11   1.26    .54   13
17   west,david       NOH   33   17   1.52    .73   16
15   hibbert,roy      Ind   54   39   2.41   1.74   39
xHBk                 team  HBlk ABlk  HBk%   ABk%  eHBk
-14  chandler,wilson  NYK   27   42   1.19   1.81   41
-12  smith,josh       Atl   39   55   1.84   2.39   51
- 9  williams,lou     Phl    1   12    .05    .49   10
- 9  aldridge,lamarcu Por   28   42   1.41   1.86   37
- 8  wall,john        Was    5   13    .23    .59   13
- 8  camby,marcus     Por   30   43   1.51   1.90   38
Not much to report on the 'too few blocks at home' side. Probably random.
The top 40 shotblockers (>40 Blk) average 23% more at home (per Opp FGA), or 8 blocks in ~24 G.
_________________
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36% of all statistics are wrong
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kjb
Joined: 03 Jan 2005
Posts: 865
Location: Washington, DC
	
PostPosted: Tue Feb 22, 2011 5:53 pm    Post subject: 	Reply with quote
Is there a similar split with steals?
With assists, I wonder how much is home scorekeeper bias and how much is the old "teams play worse on the road" thing. The Wizards, for example have been awful on the road this year. I have no idea how to tease out the difference. Are they getting fewer assists because they're shooting worse? Are they shooting worse because their passing is worse?
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Mike G
Joined: 14 Jan 2005
Posts: 3597
Location: Hendersonville, NC
	
PostPosted: Tue Feb 22, 2011 10:12 pm    Post subject: 	Reply with quote
What's distinguishing teams here is not their home/away FG% or FG/G, but their ratio of Ast to FG, which is higher at home for 2/3 of teams.
For the Wizards:
Code:
per game   FG    FGA    FG%    Ast   Ast/FG
 home     37.1   83.0   .447   21.7   .585
 away     36.7   82.7   .444   18.9   .515 
Very little difference in FG, FGA, or FG% home and away.
In the table further up the page, they're shown with 66 'extra' home assists this year.
Over 28 home games, that's about 2.4 per game.
Subtract that from 21.7 Ast/G at home, and their home and away Ast/FG are both .515 .
It's not really better or worse to have 51 vs 58% of your FG assisted. But the higher figure does pad your players' assist totals.
Some FG are assisted, some missed FG are blocked, and some TO are steals. There are more occasions to insert another Ast or Blk among all the made and missed shots.
Sure, someone could or should look at steals, home and away.