Chicago State
2013 Team Stats (1 games)
44.0
PPG
87.0
Opp
-43.0
Margin
26.5%
FG%
33.3%
3P%
66.7%
FT%
22.0
RPG
5.0
APG
14.0
TO
-
Est. poss./game
59.1
Adj PPG
68.4
Adj Opp PPG
#305
Scoring Rank
Model Outputs
2012-2013
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 โ | 697 (#316) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 757 (#320) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 930 (#266) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -10.0 (#306) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -8.2 (#286) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.233 (#296) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.145 (#305) | AdjNet -15.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.142 (#306) | AdjNet -15.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.299 (#305) | AdjO 59.1 | AdjD 68.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.398 (#269) | AdjO 62.2 | AdjD 66.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.255 (#298) | 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 โ | 0.272 (#296) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 789 (#307) | RD 123 | GP 29 |
2013 Schedule & Results
2013 Roster
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Quinton Pippen
|
G | 31 | 29.2 | 10.7 | 4.2 | 2.2 | 1.8 | 0.4 | 1.6 | 0.8 | 16.8 | -40 | 23 | -1.7 | -2.6 | 48.0 | 45.0 | 50.0 | 1.71 | 641.4 | 66.0 |
Matt Ross
|
F | 32 | 30.7 | 10.0 | 6.3 | 0.9 | 0.9 | 1.0 | 1.8 | 0.5 | 16.8 | -59 | 24 | -2.5 | -3.4 | 40.0 | 25.0 | 50.0 | 0.58 | 951.7 | 46.7 |
Jamere Dismukes
|
G | 30 | 25.4 | 9.5 | 2.2 | 3.3 | 1.6 | 0.0 | 2.5 | 1.2 | 12.9 | -80 | 22 | -3.6 | -6.2 | 33.3 | 16.7 | 71.4 | -2.3 | 365.9 | 36.1 |
Nate Duhon
|
G | 28 | 25.1 | 9.3 | 3.0 | 1.4 | 1.8 | 0.1 | 1.7 | 0.3 | 13.6 | -7 | 21 | -0.3 | -0.6 | 12.5 | 0 | 100.0 | 1.24 | 1173.3 | 12.5 |
Jeremy Robinson
|
F | 32 | 20.7 | 8.4 | 5.1 | 1.1 | 0.8 | 0.7 | 2.1 | 0.9 | 13.2 | -127 | 24 | -5.3 | -10.9 | 37.9 | 0.0 | 75.0 | -4.34 | 435.6 | 37.9 |
Clarke Rosenberg
|
G | 32 | 22.7 | 7.4 | 2.8 | 1.7 | 1.1 | 0.2 | 1.7 | 0.8 | 10.6 | -59 | 24 | -2.5 | -4.8 | 24.0 | 20.0 | 92.9 | -0.91 | 378.7 | 26.0 |
Greg Tucker
|
- | 9 | 18.7 | 7.2 | 0.9 | 1.3 | 0.6 | 0.0 | 2.8 | 0.7 | 6.6 | - | - | - | - | 33.3 | 66.7 | 0 | - | 541.7 | 50.0 |
Corey Gray
|
G | 31 | 18.5 | 4.9 | 1.5 | 1.1 | 0.5 | 0.0 | 1.2 | 0.2 | 6.6 | -88 | 24 | -3.7 | -8.5 | 16.7 | 20.0 | 0 | -2.82 | 1266.7 | 25.0 |
Aaron Williams
|
F | 24 | 10.3 | 3.3 | 2.1 | 0.3 | 0.6 | 0.1 | 0.5 | 0.7 | 5.3 | -54 | 17 | -3.2 | -13.7 | 31.2 | 40.0 | 100.0 | -3.48 | 234.0 | 37.5 |
Markus Starks
|
F | 29 | 13.2 | 1.7 | 2.3 | 0.1 | 0.1 | 0.2 | 0.8 | 0.3 | 3.4 | -73 | 20 | -3.6 | -11.5 | 25.0 | 0 | 100.0 | -4.82 | 281.5 | 25.0 |
Mashawn Chamberlain
|
F | 20 | 11.8 | 0.7 | 1.1 | 0.5 | 0.5 | 0.0 | 0.6 | 0.1 | 2.0 | -87 | 15 | -5.8 | -19.6 | 0.0 | 0 | 0 | -6.12 | 700.0 | 0.0 |
Arthur Gage
|
C | 18 | 5.7 | 0.5 | 0.9 | 0.1 | 0.2 | 0.5 | 0.2 | 0.0 | 1.9 | -4 | 14 | -0.3 | -2.0 | 0 | 0 | 50.0 | -1.27 | 511.4 | 0 |
Quincy Ukaigwe
|
C | 14 | 4.5 | 0.3 | 0.8 | 0.0 | 0.3 | 0.1 | 0.3 | 0.1 | 1.1 | 1 | 9 | 0.1 | 0.9 | 0.0 | 0 | 50.0 | 1.09 | 106.4 | 0.0 |
Nate Henry
|
- | 4 | 2.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.5 | 0.0 | -0.2 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
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