Sacramento Kings
2005 Team Stats (76 games)
103.9
PPG
102.9
Opp
+1.0
Margin
45.9%
FG%
37.6%
3P%
78.3%
FT%
41.9
RPG
24.4
APG
12.3
TO
96.2
Est. poss./game
102.3
Adj PPG
100.0
Adj Opp PPG
#8
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 → | 1012 (#16) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1083 (#8) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1009 (#16) | HCA +61 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +2.3 (#8) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.6 (#11) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.550 (#9) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.545 (#9) | NetEff +1.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.561 (#9) | AdjNet +2.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.561 (#9) | AdjNet +2.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.552 (#8) | AdjO 102.3 | AdjD 100.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.527 (#11) | AdjO 102.4 | AdjD 101.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.540 (#11) | 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 → | 0.535 (#12) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1046 (#9) | RD 213 | GP 87 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chris Webber | G | 44 | 36.3 | 21.0 | 9.8 | 5.5 | 1.4 | 0.8 | 2.9 | 19.9 | 15.7 | - | - | - | - | 44.3 | 40.7 | 80.2 | - | 48.6 | 44.9 |
| Peja Stojakovic | G | 60 | 38.3 | 20.4 | 4.2 | 2.0 | 1.2 | 0.2 | 1.5 | 15.4 | 11.2 | - | - | - | - | 45.0 | 40.6 | 91.6 | - | 59.0 | 53.6 |
| Mike Bibby | G | 74 | 38.8 | 19.9 | 4.1 | 6.8 | 1.5 | 0.4 | 2.5 | 15.9 | 14.2 | - | - | - | - | 44.3 | 36.4 | 76.8 | - | 54.4 | 49.6 |
| Cuttino Mobley | G | 43 | 38.7 | 17.8 | 3.9 | 3.4 | 1.2 | 0.5 | 2.1 | 14.8 | 9.8 | - | - | - | - | 44.0 | 42.4 | 83.1 | - | 55.0 | 51.3 |
| Brad Miller | G | 52 | 37.4 | 15.5 | 9.2 | 3.9 | 1.2 | 1.3 | 1.4 | 11.0 | 18.7 | - | - | - | - | 52.5 | 23.5 | 80.2 | - | 59.0 | 52.8 |
| Kenny Thomas | G | 25 | 31.6 | 14.4 | 8.7 | 2.9 | 1.1 | 0.4 | 1.8 | 11.7 | 13.9 | - | - | - | - | 48.6 | 0.0 | 72.1 | - | 53.1 | 48.6 |
| Bobby Jackson | G | 21 | 21.0 | 11.9 | 3.2 | 2.4 | 0.5 | 0.1 | 0.9 | 10.0 | 7.2 | - | - | - | - | 42.6 | 31.6 | 85.7 | - | 53.5 | 48.3 |
| Corliss Williamson | G | 22 | 20.2 | 9.5 | 3.5 | 1.5 | 0.5 | 0.1 | 1.1 | 7.2 | 7.0 | - | - | - | - | 47.5 | 0 | 81.1 | - | 55.1 | 47.5 |
| Darius Songaila | G | 75 | 20.1 | 7.3 | 4.1 | 1.4 | 0.6 | 0.2 | 0.8 | 5.8 | 6.9 | - | - | - | - | 53.1 | 0.0 | 84.7 | - | 57.0 | 53.1 |
| Doug Christie | G | 27 | 31.5 | 7.1 | 3.9 | 4.6 | 1.3 | 0.4 | 1.9 | 6.6 | 8.7 | - | - | - | - | 39.1 | 20.6 | 88.0 | - | 47.5 | 41.1 |
| Brian Skinner | G | 23 | 27.0 | 7.1 | 8.5 | 1.5 | 1.0 | 1.6 | 0.9 | 5.7 | 13.1 | - | - | - | - | 56.9 | 0 | 33.3 | - | 54.4 | 56.9 |
| Maurice Evans | G | 60 | 18.9 | 6.3 | 2.9 | 0.7 | 0.6 | 0.1 | 0.6 | 5.5 | 4.5 | - | - | - | - | 44.4 | 33.8 | 77.6 | - | 51.9 | 48.2 |
Eddie House
|
G | 48 | 11.1 | 4.9 | 1.2 | 1.4 | 0.4 | 0.1 | 0.5 | 4.4 | 3.0 | - | - | - | - | 45.8 | 44.3 | 92.9 | - | 53.6 | 52.1 |
Matt Barnes
|
G | 39 | 17.1 | 4.0 | 3.3 | 1.4 | 0.8 | 0.2 | 1.0 | 3.6 | 5.1 | - | - | - | - | 42.4 | 27.8 | 61.5 | - | 47.9 | 44.2 |
Kevin Martin
|
G | 41 | 10.4 | 3.0 | 1.4 | 0.5 | 0.3 | 0.1 | 0.5 | 2.7 | 2.0 | - | - | - | - | 36.4 | 20.8 | 65.5 | - | 45.1 | 38.6 |
| Michael Bradley | G | 8 | 6.0 | 2.2 | 1.4 | 0.2 | 0.0 | 0.0 | 0.4 | 1.5 | 2.0 | - | - | - | - | 66.7 | 0 | 33.3 | - | 61.5 | 66.7 |
| Greg Ostertag | G | 51 | 9.8 | 1.4 | 2.8 | 0.6 | 0.1 | 0.6 | 0.4 | 1.4 | 3.7 | - | - | - | - | 41.1 | 0.0 | 33.3 | - | 40.5 | 41.1 |
| Erik Daniels | C | 18 | 3.1 | 0.6 | 0.9 | 0.2 | 0.0 | 0.0 | 0.3 | 0.9 | 0.5 | - | - | - | - | 31.2 | 50.0 | 0 | - | 34.4 | 34.4 |
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