Philadelphia 76ers
2009 Team Stats (74 games)
96.7
PPG
96.6
Opp
+0.2
Margin
45.5%
FG%
31.5%
3P%
75.0%
FT%
41.5
RPG
19.9
APG
13.6
TO
92.2
Est. poss./game
95.6
Adj PPG
95.5
Adj Opp PPG
#15
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 → | 968 (#17) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1003 (#16) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 985 (#17) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.1 (#15) | HCA +3.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.0 (#16) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.487 (#15) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.495 (#14) | NetEff -0.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.496 (#16) | AdjNet -0.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.496 (#16) | AdjNet -0.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.502 (#15) | AdjO 95.6 | AdjD 95.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.475 (#16) | AdjO 96.2 | AdjD 97.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.481 (#16) | 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 → | 0.476 (#16) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1005 (#15) | RD 189 | GP 88 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andre Iguodala
|
G | 74 | 40.0 | 18.9 | 5.8 | 5.4 | 1.6 | 0.4 | 2.7 | 14.0 | 15.3 | - | - | - | - | 47.0 | 32.2 | 72.8 | - | 56.2 | 50.8 |
Andre Miller
|
G | 74 | 36.5 | 16.4 | 4.6 | 6.5 | 1.3 | 0.2 | 2.5 | 12.9 | 13.7 | - | - | - | - | 47.4 | 28.0 | 82.6 | - | 54.7 | 48.2 |
Thaddeus Young
|
G | 67 | 34.3 | 14.9 | 5.1 | 1.1 | 1.4 | 0.3 | 1.6 | 12.4 | 8.8 | - | - | - | - | 49.3 | 32.9 | 73.7 | - | 54.8 | 52.2 |
| Elton Brand | G | 27 | 32.7 | 14.2 | 9.1 | 1.4 | 0.6 | 1.7 | 2.4 | 13.0 | 11.6 | - | - | - | - | 44.9 | 0 | 66.7 | - | 48.4 | 44.9 |
Lou Williams
|
G | 73 | 23.4 | 12.7 | 2.0 | 2.9 | 1.0 | 0.2 | 1.8 | 10.4 | 6.6 | - | - | - | - | 39.8 | 28.3 | 80.7 | - | 51.4 | 43.5 |
| Willie Green | G | 73 | 22.7 | 8.4 | 1.5 | 1.9 | 0.7 | 0.2 | 0.8 | 8.2 | 3.7 | - | - | - | - | 42.6 | 31.6 | 72.6 | - | 48.6 | 46.7 |
| Marreese Speights | G | 71 | 15.9 | 7.7 | 3.8 | 0.4 | 0.3 | 0.7 | 0.6 | 6.3 | 5.8 | - | - | - | - | 49.8 | 25.0 | 79.8 | - | 54.2 | 50.0 |
| Samuel Dalembert | G | 74 | 24.7 | 6.3 | 8.4 | 0.2 | 0.4 | 1.9 | 1.4 | 5.3 | 10.5 | - | - | - | - | 49.6 | 0.0 | 73.2 | - | 53.4 | 49.6 |
| Reggie Evans | G | 71 | 14.4 | 3.3 | 4.5 | 0.3 | 0.5 | 0.1 | 0.9 | 2.3 | 5.6 | - | - | - | - | 43.0 | 0.0 | 60.1 | - | 50.4 | 43.0 |
| Donyell Marshall | G | 22 | 7.1 | 3.2 | 1.7 | 0.5 | 0.1 | 0.2 | 0.2 | 2.7 | 2.8 | - | - | - | - | 41.7 | 40.9 | 50.0 | - | 56.7 | 56.7 |
| Royal Ivey | G | 64 | 12.2 | 2.9 | 1.0 | 0.6 | 0.5 | 0.1 | 0.3 | 2.9 | 2.0 | - | - | - | - | 32.2 | 34.0 | 76.9 | - | 46.0 | 42.1 |
| Theo Ratliff | G | 43 | 12.6 | 1.9 | 2.9 | 0.2 | 0.4 | 1.0 | 0.3 | 1.4 | 4.6 | - | - | - | - | 50.0 | 0 | 60.6 | - | 53.7 | 50.0 |
| Kareem Rush | G | 23 | 7.6 | 1.8 | 0.5 | 0.4 | 0.2 | 0.0 | 0.4 | 2.2 | 0.4 | - | - | - | - | 29.4 | 27.6 | 100.0 | - | 39.8 | 37.3 |
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