Brooklyn Nets
2004 Team Stats (80 games)
89.9
PPG
87.7
Opp
+2.2
Margin
44.0%
FG%
33.4%
3P%
75.2%
FT%
40.6
RPG
24.4
APG
14.1
TO
91.1
Est. poss./game
88.7
Adj PPG
86.4
Adj Opp PPG
#9
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 โ | 1066 (#9) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1057 (#9) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1060 (#6) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +2.3 (#9) | HCA +3.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +3.4 (#8) | HCA +4.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.580 (#8) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.580 (#8) | NetEff +2.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.572 (#9) | AdjNet +2.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.571 (#9) | AdjNet +2.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.552 (#9) | AdjO 88.7 | AdjD 86.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.569 (#8) | AdjO 91.0 | AdjD 87.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.580 (#8) | 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 โ | 0.584 (#8) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1051 (#9) | RD 123 | GP 93 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Richard Jefferson | G | 80 | 38.2 | 18.2 | 5.7 | 3.8 | 1.1 | 0.3 | 2.4 | 13.5 | 13.3 | - | - | - | - | 49.4 | 36.9 | 76.4 | - | 57.1 | 51.5 |
| Kenyon Martin | G | 64 | 34.7 | 16.7 | 9.5 | 2.5 | 1.5 | 1.3 | 2.6 | 13.8 | 15.0 | - | - | - | - | 48.8 | 29.2 | 68.2 | - | 52.7 | 49.2 |
| Jason Kidd | G | 65 | 36.7 | 15.4 | 6.4 | 9.2 | 1.8 | 0.2 | 3.2 | 14.3 | 15.5 | - | - | - | - | 38.2 | 31.7 | 82.6 | - | 48.3 | 43.1 |
| Kerry Kittles | G | 80 | 34.9 | 13.0 | 4.0 | 2.5 | 1.5 | 0.5 | 1.1 | 11.8 | 8.6 | - | - | - | - | 44.9 | 34.6 | 78.4 | - | 52.2 | 49.9 |
| Alonzo Mourning | G | 12 | 18.1 | 8.0 | 2.2 | 0.7 | 0.2 | 0.5 | 0.8 | 5.9 | 4.8 | - | - | - | - | 46.5 | 0 | 88.2 | - | 55.8 | 46.5 |
| Rodney Rogers | G | 67 | 20.1 | 7.7 | 4.3 | 1.9 | 0.8 | 0.4 | 1.4 | 7.2 | 6.5 | - | - | - | - | 41.0 | 32.9 | 76.3 | - | 49.2 | 46.0 |
| Lucious Harris | G | 67 | 21.8 | 7.0 | 2.0 | 2.0 | 0.6 | 0.0 | 0.8 | 6.7 | 4.1 | - | - | - | - | 40.4 | 38.0 | 84.2 | - | 48.1 | 44.6 |
| Aaron Williams | G | 71 | 18.4 | 6.2 | 4.1 | 1.1 | 0.5 | 0.6 | 1.2 | 4.7 | 6.6 | - | - | - | - | 50.4 | 33.3 | 68.0 | - | 55.1 | 50.6 |
| Jason Collins | G | 76 | 28.5 | 6.0 | 5.2 | 2.0 | 0.9 | 0.7 | 1.2 | 5.0 | 8.5 | - | - | - | - | 42.6 | 0.0 | 73.3 | - | 49.7 | 42.6 |
| Brian Scalabrine | G | 67 | 13.5 | 3.6 | 2.5 | 1.0 | 0.3 | 0.2 | 0.6 | 3.2 | 3.7 | - | - | - | - | 40.4 | 24.4 | 82.4 | - | 49.0 | 42.7 |
| Zoran Planinic | G | 48 | 9.5 | 3.0 | 1.1 | 1.4 | 0.3 | 0.1 | 0.8 | 2.6 | 2.5 | - | - | - | - | 39.7 | 25.8 | 63.3 | - | 47.9 | 42.9 |
| Brandon Armstrong | G | 55 | 7.8 | 2.7 | 0.8 | 0.3 | 0.2 | 0.0 | 0.4 | 3.2 | 0.4 | - | - | - | - | 37.1 | 36.5 | 50.0 | - | 42.7 | 42.6 |
| Tamar Slay | G | 21 | 7.6 | 2.5 | 1.0 | 0.7 | 0.3 | 0.0 | 0.5 | 2.8 | 1.3 | - | - | - | - | 35.6 | 33.3 | 50.0 | - | 40.4 | 39.0 |
| Robert Pack | G | 24 | 8.3 | 1.5 | 0.8 | 1.0 | 0.4 | 0.0 | 0.6 | 1.8 | 1.3 | - | - | - | - | 35.7 | 0 | 83.3 | - | 39.2 | 35.7 |
| Doug Overton | G | 6 | 3.8 | 1.3 | 0.2 | 0.7 | 0.2 | 0.0 | 0.3 | 1.3 | 0.7 | - | - | - | - | 37.5 | 0 | 100.0 | - | 45.0 | 37.5 |
| Damone Brown | C | 3 | 5.7 | 1.0 | 1.7 | 0.0 | 0.7 | 0.0 | 0.3 | 3.3 | -0.3 | - | - | - | - | 10.0 | 0 | 50.0 | - | 13.8 | 10.0 |
| Anthony Goldwire | G | 6 | 3.2 | 0.7 | 0.2 | 0.2 | 0.3 | 0.0 | 0.2 | 1.3 | -0.2 | - | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
| Mikki Moore | - | 3 | 2.0 | 0.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 1.3 | 0.0 | - | - | - | - | 25.0 | 0 | 0 | - | 25.0 | 25.0 |
| Hubert Davis | G | 14 | 3.9 | 0.3 | 0.6 | 0.2 | 0.1 | 0.0 | 0.1 | 0.6 | 0.4 | - | - | - | - | 11.1 | 0 | 100.0 | - | 20.2 | 11.1 |
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