Golden State
2005 Team Stats (78 games)
97.9
PPG
100.2
Opp
-2.3
Margin
43.0%
FG%
35.2%
3P%
72.3%
FT%
42.4
RPG
22.0
APG
13.2
TO
95.8
Est. poss./game
97.2
Adj PPG
99.0
Adj Opp PPG
#19
Scoring Rank
Model Outputs
2004-2005
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1097 (#9) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 946 (#22) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1036 (#8) | HCA +61 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.7 (#19) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.4 (#9) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.442 (#21) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.442 (#21) | NetEff -2.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.442 (#20) | AdjNet -2.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.442 (#20) | AdjNet -2.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.461 (#19) | AdjO 97.2 | AdjD 99.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.545 (#9) | AdjO 102.1 | AdjD 100.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.526 (#13) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.543 (#11) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1013 (#18) | RD 263 | GP 81 |
2005 Schedule & Results
2005 Roster
Counting stats use played regular-season games. PM and RAPM use their separate model samples; PM GP shows that sample's game count.
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jason Richardson | G | 68 | 37.5 | 21.2 | 5.7 | 3.9 | 1.5 | 0.4 | 2.4 | 18.8 | 11.5 | - | - | - | - | 44.2 | 32.2 | 70.1 | - | 51.3 | 48.5 |
| Baron Davis | G | 26 | 34.9 | 19.0 | 3.9 | 8.3 | 1.8 | 0.3 | 3.4 | 15.5 | 14.4 | - | - | - | - | 40.2 | 34.5 | 76.1 | - | 53.4 | 48.5 |
| Troy Murphy | G | 67 | 33.9 | 15.5 | 10.8 | 1.4 | 0.8 | 0.5 | 1.6 | 13.5 | 13.8 | - | - | - | - | 41.7 | 41.5 | 72.7 | - | 49.8 | 44.9 |
Mike Dunleavy
|
G | 75 | 32.2 | 13.3 | 5.4 | 2.6 | 1.0 | 0.3 | 1.6 | 11.4 | 9.5 | - | - | - | - | 45.1 | 39.4 | 77.8 | - | 53.9 | 51.1 |
| Speedy Claxton | G | 44 | 32.5 | 13.1 | 3.2 | 6.2 | 1.8 | 0.1 | 2.0 | 10.8 | 11.7 | - | - | - | - | 43.7 | 19.2 | 76.3 | - | 51.2 | 44.7 |
| Derek Fisher | G | 70 | 30.0 | 11.9 | 3.0 | 4.1 | 1.0 | 0.1 | 1.8 | 10.2 | 8.0 | - | - | - | - | 39.2 | 37.3 | 86.3 | - | 51.9 | 46.3 |
| Mickael Pietrus | G | 65 | 20.1 | 9.4 | 2.8 | 1.2 | 0.7 | 0.3 | 1.4 | 7.5 | 5.5 | - | - | - | - | 42.2 | 34.4 | 69.4 | - | 53.4 | 49.0 |
| Clifford Robinson | G | 40 | 25.8 | 8.6 | 2.6 | 1.7 | 1.1 | 0.9 | 1.0 | 8.3 | 5.5 | - | - | - | - | 40.1 | 33.9 | 59.3 | - | 47.8 | 46.4 |
| Zarko Cabarkapa | G | 35 | 12.7 | 6.4 | 2.8 | 0.7 | 0.3 | 0.1 | 0.8 | 4.8 | 4.7 | - | - | - | - | 47.9 | 33.3 | 81.2 | - | 57.1 | 51.2 |
| Calbert Cheaney | G | 52 | 17.0 | 4.4 | 2.2 | 1.2 | 0.3 | 0.2 | 0.6 | 4.6 | 3.2 | - | - | - | - | 43.0 | 0.0 | 64.9 | - | 45.0 | 43.0 |
| Adonal Foyle | G | 75 | 21.4 | 4.4 | 5.4 | 0.7 | 0.3 | 2.0 | 0.8 | 3.8 | 8.2 | - | - | - | - | 50.0 | 0 | 54.9 | - | 51.2 | 50.0 |
| Eduardo Najera | G | 41 | 13.9 | 4.1 | 2.7 | 0.9 | 0.4 | 0.2 | 0.7 | 4.0 | 3.5 | - | - | - | - | 40.6 | 40.0 | 65.1 | - | 45.7 | 42.4 |
| Andris Biedrins | G | 28 | 13.2 | 3.9 | 4.0 | 0.4 | 0.4 | 0.8 | 0.4 | 2.8 | 6.4 | - | - | - | - | 57.7 | 0.0 | 47.5 | - | 57.0 | 57.7 |
| Rodney White | G | 16 | 9.1 | 3.6 | 0.9 | 0.5 | 0.1 | 0.1 | 0.6 | 3.9 | 0.7 | - | - | - | - | 37.1 | 31.2 | 60.0 | - | 42.9 | 41.1 |
| Dale Davis | G | 34 | 15.8 | 3.1 | 4.2 | 0.6 | 0.4 | 0.9 | 0.5 | 3.0 | 5.7 | - | - | - | - | 41.7 | 0 | 57.6 | - | 44.7 | 41.7 |
| Ansu Sesay | G | 15 | 7.7 | 2.9 | 2.4 | 0.7 | 0.1 | 0.2 | 0.4 | 2.4 | 3.5 | - | - | - | - | 38.9 | 28.6 | 56.5 | - | 46.6 | 41.7 |
| Luis Flores | G | 15 | 4.9 | 2.1 | 0.1 | 0.7 | 0.1 | 0.0 | 0.7 | 1.8 | 0.6 | - | - | - | - | 48.1 | 44.4 | 100.0 | - | 57.4 | 55.6 |
| Nikoloz Tskitishvili | G | 11 | 5.5 | 1.5 | 1.0 | 0.5 | 0.0 | 0.3 | 0.5 | 2.0 | 0.8 | - | - | - | - | 31.8 | 20.0 | 0 | - | 36.4 | 36.4 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG