Chicago
2008 Team Stats (73 games)
97.1
PPG
99.8
Opp
-2.7
Margin
43.6%
FG%
37.0%
3P%
75.0%
FT%
43.1
RPG
22.0
APG
14.1
TO
95.6
Est. poss./game
95.5
Adj PPG
98.5
Adj Opp PPG
#21
Scoring Rank
Model Outputs
2007-2008
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 → | 896 (#23) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 916 (#22) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 965 (#22) | HCA +118 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.1 (#21) | HCA +3.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.1 (#22) | HCA +5.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.421 (#20) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.421 (#20) | NetEff -2.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.404 (#21) | AdjNet -3.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.403 (#21) | AdjNet -3.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.431 (#21) | AdjO 95.5 | AdjD 98.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.440 (#22) | AdjO 98.7 | AdjD 101.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.407 (#22) | 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 → | 0.409 (#22) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 932 (#23) | RD 256 | GP 74 |
2008 Schedule & Results
2008 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 | 65 | 31.7 | 18.1 | 3.0 | 2.9 | 0.8 | 0.1 | 2.0 | 14.6 | 8.2 | - | - | - | - | 43.0 | 41.6 | 90.6 | - | 55.4 | 49.8 |
Luol Deng
|
G | 56 | 34.1 | 17.5 | 6.3 | 2.5 | 0.9 | 0.5 | 1.9 | 14.4 | 11.4 | - | - | - | - | 48.8 | 40.0 | 76.6 | - | 53.7 | 49.3 |
Drew Gooden
|
G | 16 | 31.9 | 14.9 | 9.6 | 1.7 | 0.8 | 1.3 | 1.8 | 12.7 | 13.8 | - | - | - | - | 46.8 | 0.0 | 82.8 | - | 52.1 | 46.8 |
| Andres Nocioni | G | 73 | 24.4 | 13.2 | 4.2 | 1.2 | 0.3 | 0.5 | 1.6 | 10.7 | 7.2 | - | - | - | - | 43.7 | 37.9 | 80.0 | - | 55.4 | 51.2 |
Kirk Hinrich
|
G | 67 | 31.7 | 11.6 | 3.3 | 5.9 | 1.2 | 0.3 | 2.1 | 10.7 | 9.5 | - | - | - | - | 41.7 | 33.8 | 84.4 | - | 50.4 | 46.6 |
| Larry Hughes | G | 25 | 27.9 | 11.1 | 3.1 | 3.0 | 1.3 | 0.2 | 1.5 | 11.0 | 6.2 | - | - | - | - | 38.5 | 37.7 | 74.2 | - | 46.0 | 42.2 |
| Joe Smith | G | 45 | 22.1 | 10.7 | 5.2 | 0.9 | 0.5 | 0.5 | 1.0 | 9.4 | 7.4 | - | - | - | - | 45.7 | 0.0 | 81.9 | - | 50.8 | 45.7 |
| Tyrus Thomas | G | 66 | 18.4 | 6.8 | 4.7 | 1.2 | 0.7 | 1.0 | 1.0 | 6.2 | 7.3 | - | - | - | - | 41.1 | 16.7 | 74.1 | - | 47.5 | 41.3 |
| Joakim Noah | G | 66 | 20.1 | 6.5 | 5.5 | 1.1 | 1.0 | 0.8 | 1.2 | 4.9 | 8.7 | - | - | - | - | 48.3 | 0.0 | 67.6 | - | 53.7 | 48.3 |
| Thabo Sefolosha | G | 64 | 20.5 | 6.4 | 3.7 | 1.8 | 0.9 | 0.4 | 1.4 | 5.9 | 5.9 | - | - | - | - | 42.1 | 33.8 | 71.4 | - | 49.0 | 45.6 |
| Chris Duhon | G | 57 | 22.7 | 5.9 | 1.8 | 4.1 | 0.7 | 0.0 | 1.2 | 5.2 | 6.1 | - | - | - | - | 38.9 | 35.6 | 80.9 | - | 50.9 | 46.8 |
| Thomas Gardner | G | 4 | 11.2 | 5.2 | 1.0 | 0.2 | 0.0 | 0.0 | 1.0 | 5.8 | -0.2 | - | - | - | - | 39.1 | 25.0 | 0.0 | - | 44.0 | 45.7 |
| Ben Wallace | G | 45 | 32.0 | 4.9 | 8.6 | 1.8 | 1.4 | 1.5 | 0.9 | 5.2 | 12.1 | - | - | - | - | 37.9 | 0.0 | 38.3 | - | 38.8 | 37.9 |
| Aaron Gray | G | 54 | 10.0 | 4.2 | 2.6 | 0.7 | 0.3 | 0.3 | 0.9 | 3.3 | 3.9 | - | - | - | - | 51.1 | 0 | 54.7 | - | 53.1 | 51.1 |
| Viktor Khryapa | G | 9 | 11.6 | 3.6 | 2.2 | 0.9 | 0.7 | 0.0 | 0.7 | 3.4 | 3.2 | - | - | - | - | 38.7 | 0.0 | 57.1 | - | 43.1 | 38.7 |
| Adrian Griffin | G | 19 | 9.5 | 2.4 | 1.6 | 1.0 | 0.5 | 0.1 | 0.7 | 2.6 | 2.3 | - | - | - | - | 42.0 | 0 | 42.9 | - | 42.4 | 42.0 |
| Shannon Brown | G | 5 | 3.4 | 1.4 | 0.2 | 0.0 | 0.2 | 0.2 | 0.6 | 2.6 | -1.2 | - | - | - | - | 23.1 | 0.0 | 50.0 | - | 25.2 | 23.1 |
| Demetris Nichols | - | 10 | 2.9 | 1.3 | 0.4 | 0.1 | 0.0 | 0.3 | 0.2 | 1.5 | 0.4 | - | - | - | - | 33.3 | 30.0 | 0 | - | 43.3 | 43.3 |
| Cedric Simmons | - | 6 | 2.4 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.2 | 1.0 | -0.2 | - | - | - | - | 33.3 | 0 | 0.0 | - | 29.1 | 33.3 |
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