Dallas Mavericks
2009 Team Stats (77 games)
101.9
PPG
99.9
Opp
+1.9
Margin
46.3%
FG%
35.3%
3P%
82.1%
FT%
42.4
RPG
21.8
APG
12.4
TO
93.6
Est. poss./game
100.2
Adj PPG
98.4
Adj Opp PPG
#10
Scoring Rank
Model Outputs
2008-2009
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 → | 1096 (#7) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1090 (#9) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1057 (#8) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.9 (#10) | HCA +3.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.2 (#7) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.547 (#11) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.544 (#11) | NetEff +1.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.553 (#10) | AdjNet +1.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.553 (#10) | AdjNet +1.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.542 (#10) | AdjO 100.2 | AdjD 98.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.561 (#7) | AdjO 101.8 | AdjD 99.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 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 → | 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 → | 1065 (#9) | RD 142 | GP 92 |
2009 Schedule & Results
2009 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 | 77 | 37.4 | 25.8 | 8.3 | 2.5 | 0.8 | 0.8 | 2.0 | 19.6 | 16.5 | - | - | - | - | 48.0 | 38.5 | 90.1 | - | 57.0 | 50.0 |
Jason Terry
|
G | 69 | 33.3 | 19.8 | 2.2 | 3.4 | 1.3 | 0.3 | 1.6 | 15.8 | 9.6 | - | - | - | - | 47.0 | 36.9 | 88.6 | - | 57.9 | 54.2 |
| Josh Howard | G | 51 | 31.9 | 17.8 | 5.0 | 1.5 | 1.1 | 0.5 | 1.7 | 15.0 | 9.2 | - | - | - | - | 45.0 | 33.1 | 77.8 | - | 52.9 | 48.4 |
| Jason Kidd | G | 76 | 35.4 | 8.9 | 6.0 | 8.7 | 1.9 | 0.5 | 2.3 | 7.6 | 16.2 | - | - | - | - | 41.1 | 40.5 | 80.8 | - | 54.5 | 51.7 |
Brandon Bass
|
G | 76 | 19.4 | 8.4 | 4.4 | 0.5 | 0.3 | 0.7 | 1.1 | 6.1 | 7.2 | - | - | - | - | 51.0 | 0.0 | 86.4 | - | 58.2 | 51.0 |
| J.J. Barea | G | 74 | 19.7 | 7.6 | 2.2 | 3.4 | 0.5 | 0.1 | 1.4 | 6.9 | 5.4 | - | - | - | - | 44.2 | 35.2 | 71.8 | - | 51.1 | 49.0 |
| Antoine Wright | G | 60 | 23.7 | 7.3 | 2.1 | 1.3 | 0.7 | 0.4 | 0.9 | 6.6 | 4.3 | - | - | - | - | 41.5 | 31.2 | 73.9 | - | 50.3 | 47.0 |
| Erick Dampier | G | 77 | 22.6 | 5.5 | 7.0 | 0.9 | 0.3 | 1.2 | 0.9 | 3.4 | 10.6 | - | - | - | - | 64.5 | 0 | 63.4 | - | 65.9 | 64.5 |
Gerald Green
|
G | 37 | 10.1 | 5.3 | 1.5 | 0.4 | 0.3 | 0.1 | 0.9 | 4.7 | 1.9 | - | - | - | - | 44.0 | 31.8 | 84.4 | - | 51.6 | 48.0 |
| James Singleton | G | 59 | 13.8 | 4.9 | 3.9 | 0.3 | 0.4 | 0.5 | 0.6 | 3.4 | 5.9 | - | - | - | - | 53.2 | 32.4 | 87.1 | - | 61.6 | 55.9 |
| Jerry Stackhouse | G | 10 | 16.2 | 4.2 | 1.7 | 1.2 | 0.4 | 0.1 | 0.9 | 6.0 | 0.7 | - | - | - | - | 26.7 | 15.8 | 100.0 | - | 33.3 | 29.2 |
| Devean George | G | 41 | 16.4 | 3.5 | 1.8 | 0.4 | 0.5 | 0.2 | 0.4 | 3.3 | 2.8 | - | - | - | - | 38.7 | 29.7 | 80.0 | - | 49.4 | 46.7 |
| Shawne Williams | G | 15 | 11.3 | 2.8 | 3.1 | 0.1 | 0.1 | 0.6 | 0.3 | 3.7 | 2.7 | - | - | - | - | 28.6 | 5.9 | 81.8 | - | 34.5 | 29.5 |
| Ryan Hollins | G | 24 | 9.0 | 2.6 | 2.2 | 0.1 | 0.1 | 0.5 | 0.4 | 2.0 | 3.2 | - | - | - | - | 47.9 | 0 | 51.6 | - | 50.3 | 47.9 |
| DeSagana Diop | G | 32 | 13.2 | 1.6 | 3.5 | 0.4 | 0.4 | 0.8 | 0.3 | 1.7 | 4.6 | - | - | - | - | 36.4 | 0 | 44.4 | - | 38.9 | 36.4 |
| Matt Carroll | G | 20 | 6.9 | 1.2 | 0.7 | 0.1 | 0.1 | 0.1 | 0.3 | 1.6 | 0.4 | - | - | - | - | 29.0 | 16.7 | 100.0 | - | 37.2 | 30.6 |
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