Dallas Mavericks
2005 Team Stats (79 games)
102.9
PPG
96.8
Opp
+6.1
Margin
45.9%
FG%
36.7%
3P%
79.0%
FT%
42.8
RPG
19.6
APG
12.9
TO
94.8
Est. poss./game
101.5
Adj PPG
96.0
Adj Opp PPG
#4
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 → | 1194 (#6) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1159 (#4) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1092 (#5) | HCA +61 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +5.6 (#4) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.1 (#6) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.632 (#4) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.638 (#4) | NetEff +5.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.655 (#4) | AdjNet +5.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.656 (#4) | AdjNet +5.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.622 (#4) | AdjO 101.5 | AdjD 96.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.613 (#6) | AdjO 101.7 | AdjD 96.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.670 (#5) | 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 → | 0.668 (#5) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1126 (#5) | RD 148 | GP 95 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dirk Nowitzki | G | 75 | 38.6 | 26.0 | 9.7 | 3.0 | 1.2 | 1.5 | 2.3 | 18.4 | 20.8 | - | - | - | - | 46.3 | 40.8 | 86.7 | - | 58.2 | 49.5 |
| Michael Finley | G | 62 | 36.6 | 15.6 | 4.0 | 2.6 | 0.8 | 0.3 | 1.0 | 14.0 | 8.3 | - | - | - | - | 42.9 | 40.2 | 83.5 | - | 52.1 | 49.3 |
| Jerry Stackhouse | G | 53 | 28.7 | 14.7 | 3.3 | 2.3 | 1.0 | 0.2 | 1.9 | 11.7 | 7.8 | - | - | - | - | 40.6 | 27.7 | 85.0 | - | 52.2 | 43.1 |
Jason Terry
|
G | 77 | 30.2 | 12.7 | 2.4 | 5.4 | 1.4 | 0.2 | 1.9 | 9.4 | 10.7 | - | - | - | - | 50.5 | 42.4 | 84.6 | - | 61.0 | 57.4 |
| Josh Howard | G | 74 | 32.2 | 12.7 | 6.5 | 1.5 | 1.5 | 0.6 | 1.6 | 10.5 | 10.8 | - | - | - | - | 47.7 | 30.0 | 74.1 | - | 53.8 | 49.9 |
| Keith Van Horn | G | 29 | 23.6 | 12.2 | 4.4 | 1.2 | 0.5 | 0.3 | 1.2 | 9.6 | 7.9 | - | - | - | - | 46.2 | 37.5 | 78.3 | - | 55.4 | 50.5 |
| Erick Dampier | G | 56 | 27.4 | 9.2 | 8.3 | 0.8 | 0.2 | 1.4 | 1.8 | 6.2 | 12.1 | - | - | - | - | 54.9 | 0.0 | 60.4 | - | 57.9 | 54.9 |
Marquis Daniels
|
G | 59 | 23.6 | 9.2 | 3.6 | 2.1 | 1.4 | 0.2 | 1.5 | 8.4 | 6.7 | - | - | - | - | 43.9 | 20.0 | 73.7 | - | 48.7 | 44.6 |
| Devin Harris | G | 73 | 15.6 | 5.9 | 1.3 | 2.2 | 1.0 | 0.3 | 1.1 | 4.9 | 4.8 | - | - | - | - | 43.3 | 34.1 | 75.7 | - | 53.5 | 49.4 |
| Alan Henderson | G | 75 | 15.5 | 3.5 | 4.4 | 0.3 | 0.3 | 0.5 | 0.6 | 2.8 | 5.6 | - | - | - | - | 52.4 | 0.0 | 55.6 | - | 53.8 | 52.4 |
| Shawn Bradley | G | 74 | 11.4 | 2.7 | 2.8 | 0.2 | 0.3 | 0.8 | 0.4 | 2.4 | 4.0 | - | - | - | - | 45.5 | 0 | 69.5 | - | 49.8 | 45.5 |
| Calvin Booth | G | 33 | 7.5 | 2.4 | 1.6 | 0.1 | 0.3 | 0.5 | 0.2 | 2.3 | 2.5 | - | - | - | - | 44.7 | 0.0 | 85.7 | - | 48.7 | 44.7 |
| Darrell Armstrong | G | 49 | 10.8 | 2.2 | 1.2 | 2.2 | 0.6 | 0.1 | 0.8 | 2.1 | 3.5 | - | - | - | - | 30.4 | 24.2 | 83.0 | - | 44.4 | 34.3 |
| Dan Dickau | - | 4 | 3.8 | 1.2 | 0.2 | 0.2 | 0.0 | 0.0 | 0.2 | 2.0 | -0.5 | - | - | - | - | 12.5 | 33.3 | 66.7 | - | 26.8 | 18.8 |
| DJ Mbenga | F | 14 | 4.0 | 1.1 | 0.6 | 0.0 | 0.0 | 0.4 | 0.4 | 0.9 | 0.7 | - | - | - | - | 46.2 | 0 | 75.0 | - | 50.8 | 46.2 |
| Pavel Podkolzin | - | 5 | 2.0 | 0.2 | 0.4 | 0.0 | 0.0 | 0.0 | 0.4 | 0.0 | 0.2 | - | - | - | - | 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