Milwaukee Bucks
2005 Team Stats (79 games)
97.2
PPG
100.1
Opp
-3.0
Margin
45.1%
FG%
35.5%
3P%
77.3%
FT%
41.1
RPG
21.0
APG
13.3
TO
93.4
Est. poss./game
95.7
Adj PPG
98.7
Adj Opp PPG
#25
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 โ | 766 (#28) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 898 (#25) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 919 (#25) | HCA +61 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -3.1 (#25) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -4.9 (#26) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.414 (#25) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.412 (#25) | NetEff -3.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.415 (#25) | AdjNet -3.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.414 (#25) | AdjNet -3.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.432 (#25) | AdjO 95.7 | AdjD 98.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.409 (#26) | AdjO 96.2 | AdjD 100.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.355 (#27) | 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 | 0.351 (#27) | 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 | 894 (#26) | RD 266 | GP 82 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Michael Redd | G | 72 | 37.9 | 22.8 | 4.2 | 2.2 | 0.8 | 0.1 | 1.8 | 18.8 | 9.6 | - | - | - | - | 43.8 | 36.0 | 85.6 | - | 53.4 | 47.5 |
| Desmond Mason | G | 77 | 36.1 | 17.1 | 3.8 | 2.8 | 0.7 | 0.4 | 2.1 | 13.4 | 9.2 | - | - | - | - | 44.1 | 14.3 | 80.3 | - | 52.5 | 44.2 |
| Mike James | G | 45 | 24.9 | 11.7 | 2.6 | 4.0 | 0.9 | 0.1 | 1.7 | 10.0 | 7.5 | - | - | - | - | 44.8 | 38.5 | 75.6 | - | 53.8 | 51.1 |
| Joe Smith | G | 71 | 30.2 | 10.9 | 7.2 | 0.9 | 0.6 | 0.5 | 1.1 | 8.2 | 10.8 | - | - | - | - | 51.5 | 0.0 | 76.2 | - | 56.6 | 51.5 |
Mo Williams
|
G | 77 | 28.0 | 10.2 | 3.1 | 6.1 | 0.9 | 0.1 | 2.5 | 9.2 | 8.7 | - | - | - | - | 44.0 | 32.3 | 84.4 | - | 50.6 | 46.3 |
| Keith Van Horn | G | 31 | 23.6 | 9.9 | 4.6 | 1.2 | 0.6 | 0.3 | 1.3 | 8.1 | 7.1 | - | - | - | - | 45.0 | 40.3 | 86.9 | - | 55.1 | 50.4 |
| Dan Gadzuric | G | 78 | 21.8 | 7.3 | 8.3 | 0.4 | 0.6 | 1.3 | 1.0 | 5.5 | 11.4 | - | - | - | - | 54.6 | 0 | 53.9 | - | 55.7 | 54.6 |
| Anthony Goldwire | G | 24 | 20.1 | 6.4 | 2.1 | 3.2 | 0.6 | 0.0 | 0.6 | 5.0 | 6.8 | - | - | - | - | 43.8 | 40.8 | 82.6 | - | 58.7 | 55.8 |
| Kendall Gill | G | 13 | 20.9 | 6.3 | 2.6 | 2.1 | 1.1 | 0.3 | 0.5 | 6.0 | 5.8 | - | - | - | - | 39.7 | 33.3 | 94.4 | - | 47.7 | 41.7 |
Zaza Pachulia
|
G | 73 | 19.0 | 6.3 | 5.1 | 0.8 | 0.6 | 0.5 | 0.9 | 4.8 | 7.5 | - | - | - | - | 45.5 | 0.0 | 74.6 | - | 52.8 | 45.5 |
| Marcus Fizer | G | 53 | 16.7 | 6.2 | 3.3 | 1.2 | 0.4 | 0.2 | 1.2 | 5.5 | 4.7 | - | - | - | - | 45.2 | 0.0 | 69.7 | - | 49.6 | 45.2 |
| Toni Kukoc | G | 53 | 20.7 | 5.6 | 3.0 | 3.0 | 0.7 | 0.2 | 1.2 | 4.8 | 6.6 | - | - | - | - | 41.0 | 36.2 | 72.1 | - | 52.3 | 49.2 |
| Erick Strickland | G | 59 | 16.6 | 5.0 | 1.6 | 1.8 | 0.5 | 0.0 | 1.0 | 5.0 | 2.9 | - | - | - | - | 38.1 | 25.9 | 80.0 | - | 45.7 | 41.7 |
| Zendon Hamilton | G | 15 | 10.1 | 3.3 | 2.7 | 0.3 | 0.3 | 0.1 | 0.8 | 2.0 | 4.1 | - | - | - | - | 36.7 | 0 | 60.9 | - | 49.8 | 36.7 |
Eddie House
|
F | 5 | 8.2 | 3.2 | 0.6 | 1.0 | 0.4 | 0.0 | 0.0 | 3.4 | 1.8 | - | - | - | - | 35.3 | 66.7 | 0 | - | 47.1 | 47.1 |
| Calvin Booth | G | 17 | 11.1 | 2.5 | 2.9 | 0.2 | 0.2 | 0.7 | 0.5 | 1.7 | 4.4 | - | - | - | - | 51.7 | 0 | 75.0 | - | 58.3 | 51.7 |
| Daniel Santiago | G | 10 | 8.8 | 1.8 | 1.5 | 0.1 | 0.2 | 0.4 | 0.4 | 1.7 | 1.9 | - | - | - | - | 29.4 | 0 | 80.0 | - | 42.1 | 29.4 |
| Reece Gaines | G | 11 | 7.2 | 1.4 | 0.3 | 0.4 | 0.2 | 0.1 | 0.3 | 2.1 | -0.1 | - | - | - | - | 30.4 | 50.0 | 0 | - | 32.6 | 32.6 |
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