Milwaukee Bucks
2004 Team Stats (79 games)
98.1
PPG
96.9
Opp
+1.2
Margin
44.9%
FG%
35.2%
3P%
77.1%
FT%
42.0
RPG
23.0
APG
13.0
TO
94.1
Est. poss./game
96.1
Adj PPG
96.0
Adj Opp PPG
#13
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 | 894 (#22) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 981 (#18) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 972 (#20) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +0.1 (#13) | HCA +3.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -0.7 (#17) | HCA +4.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.508 (#13) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.508 (#13) | NetEff +0.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.504 (#12) | AdjNet +0.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.504 (#12) | AdjNet +0.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.502 (#13) | AdjO 96.1 | AdjD 96.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.484 (#17) | AdjO 96.4 | AdjD 97.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.460 (#18) | 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 | 0.456 (#18) | 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 | 963 (#20) | RD 197 | GP 87 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Michael Redd | G | 79 | 36.9 | 21.4 | 4.9 | 2.3 | 1.0 | 0.1 | 1.4 | 17.4 | 10.8 | - | - | - | - | 43.9 | 34.8 | 86.6 | - | 54.2 | 48.3 |
| Keith Van Horn | G | 24 | 31.0 | 16.2 | 6.4 | 1.5 | 0.7 | 0.6 | 2.0 | 11.9 | 11.4 | - | - | - | - | 47.6 | 45.7 | 94.4 | - | 59.7 | 53.1 |
| Desmond Mason | G | 79 | 30.7 | 14.5 | 4.4 | 1.8 | 0.8 | 0.3 | 1.8 | 10.6 | 9.3 | - | - | - | - | 47.3 | 23.7 | 76.7 | - | 55.3 | 47.9 |
| Tim Thomas | G | 41 | 31.9 | 14.0 | 4.7 | 2.1 | 1.0 | 0.4 | 1.8 | 12.1 | 8.4 | - | - | - | - | 44.8 | 37.3 | 74.6 | - | 52.8 | 49.6 |
| Joe Smith | G | 73 | 29.4 | 10.9 | 8.3 | 1.0 | 0.6 | 1.2 | 1.1 | 9.2 | 11.9 | - | - | - | - | 44.4 | 20.0 | 85.3 | - | 51.4 | 44.5 |
| Brian Skinner | G | 55 | 28.0 | 10.5 | 7.3 | 0.9 | 0.5 | 1.1 | 1.4 | 9.2 | 9.8 | - | - | - | - | 49.6 | 0 | 56.7 | - | 51.2 | 49.6 |
| Toni Kukoc | G | 71 | 20.9 | 8.5 | 3.7 | 2.8 | 0.8 | 0.3 | 1.5 | 6.9 | 7.6 | - | - | - | - | 41.7 | 28.1 | 72.9 | - | 51.8 | 46.2 |
| Damon Jones | G | 79 | 24.5 | 7.1 | 2.1 | 5.8 | 0.4 | 0.1 | 1.3 | 6.4 | 7.8 | - | - | - | - | 40.4 | 36.8 | 76.4 | - | 52.1 | 49.9 |
| T.J. Ford | G | 53 | 26.7 | 7.1 | 3.2 | 6.5 | 1.1 | 0.1 | 2.5 | 7.1 | 8.3 | - | - | - | - | 38.9 | 23.8 | 81.7 | - | 44.8 | 39.6 |
| Brevin Knight | G | 20 | 20.3 | 6.2 | 2.4 | 4.8 | 1.4 | 0.0 | 1.1 | 5.0 | 8.4 | - | - | - | - | 45.5 | 33.3 | 78.9 | - | 52.2 | 46.0 |
| Dan Gadzuric | G | 72 | 16.7 | 5.6 | 4.6 | 0.4 | 0.6 | 1.3 | 0.6 | 4.6 | 7.3 | - | - | - | - | 52.4 | 0.0 | 48.7 | - | 52.8 | 52.4 |
| Erick Strickland | G | 42 | 13.0 | 5.3 | 1.5 | 2.1 | 0.6 | 0.0 | 1.2 | 4.4 | 4.0 | - | - | - | - | 41.6 | 46.0 | 85.1 | - | 54.2 | 49.5 |
| Daniel Santiago | G | 52 | 12.8 | 4.0 | 2.4 | 0.4 | 0.3 | 0.4 | 0.6 | 2.9 | 4.1 | - | - | - | - | 47.7 | 0 | 67.8 | - | 53.7 | 47.7 |
| Marcus Haislip | G | 30 | 8.7 | 3.0 | 1.7 | 0.1 | 0.2 | 0.4 | 0.3 | 2.4 | 2.7 | - | - | - | - | 47.9 | 50.0 | 72.0 | - | 53.0 | 48.6 |
| Dan Langhi | - | 1 | 8.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | - | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
| Joel Przybilla | F | 5 | 6.8 | 0.2 | 2.0 | 0.6 | 0.0 | 0.0 | 0.4 | 0.0 | 2.4 | - | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
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