Minnesota Timberwolves
2004 Team Stats (80 games)
94.5
PPG
88.9
Opp
+5.7
Margin
46.1%
FG%
36.4%
3P%
78.5%
FT%
43.0
RPG
22.9
APG
12.2
TO
91.0
Est. poss./game
91.6
Adj PPG
86.2
Adj Opp PPG
#3
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 → | 1247 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1170 (#1) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1089 (#5) | HCA +106 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +5.5 (#3) | HCA +3.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +4.6 (#6) | HCA +4.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.637 (#4) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.637 (#4) | NetEff +4.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.665 (#3) | AdjNet +6.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.665 (#3) | AdjNet +6.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.620 (#3) | AdjO 91.6 | AdjD 86.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.584 (#6) | AdjO 89.9 | AdjD 86.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.679 (#3) | 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 → | 0.672 (#3) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1148 (#3) | RD 85 | GP 100 |
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
Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kevin Garnett
|
G | 80 | 39.4 | 24.1 | 13.9 | 4.9 | 1.5 | 2.2 | 2.6 | 19.7 | 24.4 | 463 | 82 | 5.6 | 10.8 | 49.6 | 24.4 | 79.6 | -0.08 | 54.5 | 49.9 |
| Sam Cassell | G | 79 | 35.0 | 19.7 | 3.4 | 7.3 | 1.3 | 0.2 | 2.7 | 15.6 | 13.6 | 436 | 81 | 5.4 | 12.5 | 48.8 | 40.1 | 88.4 | 1.06 | 56.8 | 51.8 |
| Latrell Sprewell | G | 80 | 37.7 | 16.6 | 3.8 | 3.5 | 1.1 | 0.3 | 1.9 | 15.3 | 8.0 | 414 | 82 | 5.0 | 9.6 | 40.7 | 32.5 | 81.7 | 2.91 | 49.1 | 44.6 |
| Wally Szczerbiak | G | 28 | 22.2 | 10.2 | 3.1 | 1.2 | 0.4 | 0.0 | 1.0 | 8.4 | 5.5 | 118 | 28 | 4.2 | 12.5 | 44.9 | 43.5 | 82.8 | 0.78 | 53.9 | 49.2 |
| Troy Hudson | G | 29 | 17.3 | 7.5 | 1.2 | 2.4 | 0.2 | 0.0 | 1.2 | 7.1 | 3.1 | 56 | 29 | 1.9 | 6.5 | 38.6 | 40.3 | 81.8 | 0.42 | 49.2 | 46.1 |
| Fred Hoiberg | G | 77 | 22.9 | 6.7 | 3.4 | 1.4 | 0.8 | 0.1 | 0.6 | 4.8 | 7.1 | 322 | 79 | 4.1 | 12.5 | 47.0 | 45.2 | 85.7 | 3.68 | 61.9 | 57.2 |
| Michael Olowokandi | G | 43 | 21.5 | 6.5 | 5.7 | 0.6 | 0.4 | 1.6 | 1.3 | 6.6 | 6.8 | 139 | 43 | 3.2 | 11.6 | 42.5 | 0 | 59.0 | 0.09 | 44.6 | 42.5 |
| Gary Trent | G | 66 | 15.2 | 5.7 | 3.2 | 0.7 | 0.2 | 0.3 | 0.8 | 4.9 | 4.4 | 168 | 67 | 2.5 | 11.9 | 47.5 | 0.0 | 75.8 | 0.51 | 51.8 | 47.5 |
| Trenton Hassell | G | 79 | 27.7 | 5.0 | 3.1 | 1.6 | 0.4 | 0.7 | 0.5 | 4.6 | 5.7 | 363 | 80 | 4.5 | 11.4 | 46.6 | 30.8 | 78.7 | 2.37 | 50.0 | 47.1 |
| Mark Madsen | G | 70 | 17.6 | 3.6 | 3.9 | 0.4 | 0.5 | 0.3 | 0.7 | 2.9 | 5.1 | 207 | 72 | 2.9 | 11.8 | 50.0 | 0.0 | 48.2 | 2.33 | 51.0 | 50.0 |
| Darrick Martin | G | 16 | 10.7 | 3.4 | 0.4 | 1.4 | 0.1 | 0.1 | 0.4 | 4.2 | 0.9 | 80 | 15 | 5.3 | 26.6 | 29.9 | 23.1 | 100.0 | -0.48 | 38.8 | 34.3 |
| Keith McLeod | G | 31 | 12.0 | 2.8 | 1.0 | 1.7 | 0.5 | 0.0 | 0.9 | 2.5 | 2.6 | 60 | 32 | 1.9 | 9.0 | 34.2 | 11.1 | 75.6 | -0.12 | 44.3 | 34.8 |
| Anthony Goldwire | G | 5 | 13.2 | 2.6 | 1.2 | 2.0 | 0.6 | 0.0 | 0.4 | 2.8 | 3.2 | 10 | 11 | 0.9 | 6.3 | 35.7 | 33.3 | 100.0 | -0.68 | 45.0 | 42.9 |
| Oliver Miller | G | 46 | 10.0 | 2.5 | 2.5 | 0.8 | 0.4 | 0.5 | 0.7 | 2.1 | 3.9 | 107 | 46 | 2.3 | 15.6 | 52.6 | 0.0 | 65.2 | 0.38 | 54.7 | 52.6 |
| Ervin Johnson | G | 64 | 14.6 | 1.9 | 3.5 | 0.3 | 0.4 | 0.6 | 0.5 | 1.5 | 4.8 | 207 | 65 | 3.2 | 16.7 | 53.1 | 0.0 | 60.7 | -0.93 | 54.8 | 53.1 |
| Quincy Lewis | G | 14 | 4.6 | 1.1 | 0.5 | 0.1 | 0.1 | 0.1 | 0.2 | 1.4 | 0.4 | - | - | - | - | 35.0 | 40.0 | 0 | - | 40.0 | 40.0 |
| Ndudi Ebi | - | 17 | 1.9 | 0.8 | 0.2 | 0.2 | 0.0 | 0.2 | 0.2 | 0.8 | 0.4 | 13 | 15 | 0.9 | 84.3 | 42.9 | 0 | 25.0 | -1.71 | 41.2 | 42.9 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
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