Chicago
2009 Team Stats (67 games)
101.9
PPG
101.6
Opp
+0.4
Margin
46.0%
FG%
38.3%
3P%
79.5%
FT%
42.3
RPG
21.3
APG
13.8
TO
96.4
Est. poss./game
101.8
Adj PPG
102.1
Adj Opp PPG
#16
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 → | 1089 (#7) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 998 (#16) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1026 (#11) | HCA +105 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.2 (#16) | HCA +3.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.4 (#14) | HCA +3.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.475 (#18) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.475 (#18) | NetEff -0.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.497 (#16) | AdjNet -0.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.497 (#15) | AdjNet -0.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.494 (#16) | AdjO 101.8 | AdjD 102.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.505 (#14) | AdjO 103.9 | AdjD 103.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.533 (#12) | 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 → | 0.535 (#12) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1030 (#11) | RD 183 | GP 83 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ben Gordon | G | 67 | 36.4 | 20.8 | 3.5 | 3.4 | 0.9 | 0.3 | 2.6 | 16.1 | 10.2 | - | - | - | - | 45.7 | 41.4 | 85.3 | - | 57.3 | 52.3 |
| John Salmons | G | 22 | 36.2 | 17.1 | 4.0 | 2.0 | 0.7 | 0.5 | 1.6 | 12.5 | 10.2 | - | - | - | - | 46.7 | 42.3 | 83.7 | - | 59.4 | 54.2 |
Derrick Rose
|
G | 66 | 36.9 | 16.7 | 3.8 | 6.3 | 0.8 | 0.3 | 2.4 | 14.9 | 10.5 | - | - | - | - | 47.8 | 22.4 | 75.6 | - | 51.5 | 48.4 |
Luol Deng
|
G | 43 | 33.9 | 13.7 | 6.0 | 2.0 | 1.3 | 0.5 | 1.4 | 12.0 | 10.1 | - | - | - | - | 43.8 | 40.0 | 79.6 | - | 50.1 | 44.6 |
Drew Gooden
|
G | 28 | 29.6 | 12.8 | 8.8 | 1.5 | 0.8 | 0.5 | 1.7 | 11.3 | 11.3 | - | - | - | - | 45.7 | 0.0 | 87.3 | - | 51.0 | 45.7 |
| Larry Hughes | G | 24 | 26.5 | 12.4 | 2.9 | 1.9 | 1.2 | 0.3 | 1.0 | 10.3 | 7.4 | - | - | - | - | 42.5 | 39.8 | 82.1 | - | 53.9 | 49.2 |
| Brad Miller | G | 23 | 27.0 | 11.7 | 6.9 | 3.1 | 0.8 | 0.5 | 1.7 | 8.2 | 13.0 | - | - | - | - | 49.5 | 23.1 | 85.9 | - | 58.6 | 50.3 |
| Tyrus Thomas | G | 64 | 27.6 | 11.1 | 6.4 | 0.9 | 1.1 | 1.9 | 1.6 | 8.7 | 11.1 | - | - | - | - | 46.5 | 28.6 | 78.4 | - | 53.6 | 46.7 |
| Andres Nocioni | G | 43 | 24.2 | 9.9 | 4.4 | 1.2 | 0.5 | 0.3 | 1.3 | 8.1 | 6.9 | - | - | - | - | 41.2 | 36.1 | 81.6 | - | 54.4 | 49.4 |
Kirk Hinrich
|
G | 44 | 26.1 | 9.0 | 2.5 | 4.0 | 1.2 | 0.4 | 1.7 | 8.0 | 7.5 | - | - | - | - | 42.6 | 39.3 | 74.1 | - | 53.0 | 50.7 |
| Joakim Noah | G | 65 | 23.9 | 6.8 | 7.6 | 1.3 | 0.7 | 1.4 | 1.0 | 4.6 | 12.1 | - | - | - | - | 56.0 | 0.0 | 71.1 | - | 60.6 | 56.0 |
| Tim Thomas | G | 16 | 14.1 | 5.6 | 2.2 | 0.4 | 0.2 | 0.0 | 0.4 | 4.7 | 3.4 | - | - | - | - | 40.0 | 41.7 | 73.7 | - | 53.4 | 50.0 |
| Thabo Sefolosha | G | 33 | 15.6 | 4.3 | 3.0 | 1.4 | 0.7 | 0.4 | 0.8 | 3.8 | 5.2 | - | - | - | - | 48.4 | 37.5 | 83.3 | - | 54.9 | 53.2 |
| Aaron Gray | G | 44 | 12.2 | 3.3 | 3.6 | 0.9 | 0.2 | 0.4 | 0.7 | 2.7 | 5.1 | - | - | - | - | 50.4 | 0 | 59.1 | - | 52.8 | 50.4 |
| Lindsey Hunter | G | 22 | 8.2 | 2.4 | 0.4 | 1.3 | 0.5 | 0.0 | 0.6 | 2.8 | 1.2 | - | - | - | - | 31.1 | 38.2 | 100.0 | - | 42.3 | 41.8 |
| Anthony Roberson | - | 6 | 3.8 | 2.0 | 1.2 | 0.2 | 0.0 | 0.0 | 0.2 | 2.8 | 0.3 | - | - | - | - | 29.4 | 20.0 | 0 | - | 35.3 | 35.3 |
| Cedric Simmons | G | 9 | 3.8 | 1.8 | 0.8 | 0.1 | 0.0 | 0.4 | 0.0 | 1.1 | 2.0 | - | - | - | - | 60.0 | 0 | 44.4 | - | 57.3 | 60.0 |
| Linton Johnson | F | 7 | 5.2 | 1.3 | 1.0 | 0.3 | 0.1 | 0.0 | 0.3 | 1.4 | 1.0 | - | - | - | - | 40.0 | 50.0 | 0 | - | 45.0 | 45.0 |
| Demetris Nichols | - | 2 | 2.7 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 2.0 | -0.5 | - | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
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