Sacramento Kings
2004 Team Stats (77 games)
102.7
PPG
97.6
Opp
+5.1
Margin
46.1%
FG%
40.0%
3P%
79.6%
FT%
41.3
RPG
26.2
APG
13.3
TO
95.3
Est. poss./game
100.1
Adj PPG
94.7
Adj Opp PPG
#4
Scoring Rank
Model Outputs
2003-2004
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 → | 1192 (#5) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1153 (#5) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1057 (#7) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +5.4 (#4) | HCA +3.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +4.1 (#7) | HCA +4.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.624 (#5) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.624 (#5) | NetEff +4.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.647 (#5) | AdjNet +5.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.648 (#5) | AdjNet +5.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.619 (#4) | AdjO 100.1 | AdjD 94.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.574 (#7) | AdjO 95.7 | AdjD 92.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.650 (#6) | 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 → | 0.641 (#6) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1119 (#6) | RD 125 | GP 94 |
2004 Schedule & Results
2004 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Peja Stojakovic | G | 77 | 40.1 | 23.9 | 6.3 | 2.1 | 1.3 | 0.2 | 1.8 | 17.1 | 14.9 | - | - | - | - | 47.6 | 42.8 | 93.1 | - | 61.8 | 56.1 |
| Chris Webber | G | 21 | 36.1 | 18.6 | 8.8 | 4.4 | 1.4 | 0.8 | 2.5 | 18.5 | 13.0 | - | - | - | - | 40.9 | 20.0 | 70.6 | - | 45.1 | 41.0 |
| Mike Bibby | G | 77 | 36.3 | 18.5 | 3.4 | 5.4 | 1.3 | 0.2 | 2.1 | 14.2 | 12.5 | - | - | - | - | 45.2 | 40.3 | 81.3 | - | 57.0 | 51.8 |
| Brad Miller | G | 67 | 36.2 | 14.2 | 10.3 | 4.2 | 0.9 | 1.2 | 1.9 | 10.3 | 18.7 | - | - | - | - | 51.5 | 35.3 | 77.9 | - | 58.2 | 52.4 |
| Bobby Jackson | G | 47 | 23.4 | 13.6 | 3.4 | 2.0 | 1.0 | 0.1 | 1.3 | 11.6 | 7.3 | - | - | - | - | 44.6 | 36.0 | 74.5 | - | 53.9 | 51.3 |
| Doug Christie | G | 77 | 33.9 | 10.0 | 4.0 | 4.2 | 1.9 | 0.4 | 1.9 | 8.3 | 10.3 | - | - | - | - | 45.6 | 33.1 | 86.1 | - | 54.1 | 49.1 |
| Vlade Divac | G | 77 | 28.5 | 9.8 | 5.7 | 5.4 | 0.7 | 0.9 | 2.1 | 8.3 | 12.2 | - | - | - | - | 46.4 | 15.4 | 65.9 | - | 50.7 | 46.6 |
| Anthony Peeler | G | 71 | 18.5 | 5.7 | 2.0 | 1.6 | 0.7 | 0.1 | 1.0 | 4.6 | 4.6 | - | - | - | - | 44.5 | 47.7 | 83.6 | - | 57.2 | 54.1 |
| Darius Songaila | G | 69 | 13.3 | 4.6 | 3.1 | 0.7 | 0.5 | 0.1 | 0.6 | 3.7 | 4.7 | - | - | - | - | 49.4 | 0 | 80.2 | - | 54.5 | 49.4 |
| Tony Massenburg | G | 56 | 13.7 | 4.4 | 3.4 | 0.5 | 0.2 | 0.3 | 0.8 | 3.9 | 4.2 | - | - | - | - | 47.7 | 0.0 | 69.5 | - | 51.0 | 47.7 |
| Jabari Smith | G | 31 | 5.4 | 2.1 | 1.0 | 0.4 | 0.1 | 0.2 | 0.2 | 2.3 | 1.2 | - | - | - | - | 37.1 | 0.0 | 60.0 | - | 40.6 | 37.1 |
| Rodney Buford | G | 22 | 6.5 | 1.9 | 0.7 | 0.3 | 0.3 | 0.0 | 0.2 | 2.5 | 0.5 | - | - | - | - | 33.9 | 0.0 | 50.0 | - | 35.0 | 33.9 |
| Gerald Wallace | G | 35 | 8.4 | 1.7 | 1.8 | 0.5 | 0.4 | 0.3 | 0.2 | 2.2 | 2.2 | - | - | - | - | 32.5 | 0.0 | 42.9 | - | 34.2 | 32.5 |
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