Chicago State
2014 Team Stats (3 games)
67.7
PPG
76.3
Opp
-8.7
Margin
42.2%
FG%
35.7%
3P%
70.0%
FT%
27.3
RPG
10.7
APG
11.3
TO
-
Est. poss./game
67.7
Adj PPG
76.5
Adj Opp PPG
#297
Scoring Rank
Model Outputs
2013-2014
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 | 848 (#292) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 880 (#262) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 921 (#281) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -9.3 (#293) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -9.0 (#299) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.219 (#311) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.188 (#288) | AdjNet -12.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.185 (#288) | AdjNet -12.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.309 (#297) | AdjO 67.7 | AdjD 76.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.359 (#307) | AdjO 66.9 | AdjD 73.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.270 (#291) | 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 | 0.279 (#294) | 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 | 859 (#266) | RD 132 | GP 30 |
2014 Schedule & Results
2014 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 | 27 | 32.2 | 16.0 | 4.1 | 2.6 | 2.0 | 0.2 | 2.2 | 3.2 | 19.5 | -106 | 28 | -3.8 | -5.3 | 34.5 | 27.6 | 76.9 | -0.26 | 219.4 | 43.7 |
Clarke Rosenberg
|
G | 28 | 30.6 | 14.1 | 3.9 | 2.6 | 1.6 | 0.1 | 2.2 | 2.6 | 17.5 | -49 | 28 | -1.8 | -2.5 | 45.8 | 47.1 | 84.2 | 3.02 | 245.8 | 51.4 |
Matt Ross
|
F | 28 | 32.2 | 12.0 | 7.6 | 0.9 | 1.2 | 1.4 | 1.1 | 2.1 | 19.8 | -118 | 28 | -4.2 | -5.7 | 50.8 | 39.3 | 85.7 | -0.78 | 246.2 | 60.2 |
Nate Duhon
|
G | 27 | 24.6 | 9.4 | 3.3 | 1.3 | 1.3 | 0.1 | 1.6 | 1.7 | 12.0 | -115 | 27 | -4.3 | -8.0 | 38.3 | 20.0 | 69.6 | -2.19 | 222.3 | 40.4 |
Eddie Denard
|
F | 3 | 29.7 | 7.7 | 4.3 | 1.0 | 0.7 | 0.3 | 1.3 | 7.3 | 5.3 | -74 | 28 | -2.6 | -5.3 | 36.4 | 0.0 | 50.0 | -1.83 | 40.8 | 36.4 |
Rahjan Muhammad
|
G | 10 | 23.6 | 5.9 | 2.3 | 1.1 | 1.1 | 0.1 | 1.0 | 1.2 | 8.3 | -29 | 10 | -2.9 | -5.8 | 33.3 | 42.9 | 0 | -2.99 | 245.8 | 45.8 |
Corey Gray
|
G | 27 | 20.7 | 5.6 | 1.7 | 1.5 | 0.6 | 0.0 | 1.3 | 1.5 | 6.5 | -90 | 27 | -3.3 | -6.9 | 50.0 | 42.3 | 80.0 | -2.49 | 160.9 | 63.7 |
Jamere Dismukes
|
G | 4 | 16.2 | 5.0 | 2.0 | 2.5 | 1.0 | 0.0 | 1.2 | 0.0 | 9.2 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jared Dimakos
|
F | 23 | 9.9 | 2.4 | 1.0 | 0.3 | 0.3 | 0.0 | 0.3 | 0.4 | 3.3 | -42 | 24 | -1.8 | -8.9 | 66.7 | 33.3 | 33.3 | -3.24 | 236.3 | 72.2 |
Johnny Griffin
|
G | 27 | 11.1 | 1.9 | 1.5 | 0.3 | 0.4 | 0.3 | 0.1 | 0.3 | 4.0 | -93 | 27 | -3.4 | -15.4 | 25.0 | 0 | 55.6 | -5.1 | 209.0 | 25.0 |
Kurt Karis
|
G | 25 | 9.2 | 1.3 | 0.8 | 0.8 | 0.8 | 0.0 | 0.6 | 0.2 | 2.8 | -82 | 24 | -3.4 | -17.9 | 16.7 | 0.0 | 50.0 | -4.11 | 212.6 | 16.7 |
Willie Rosenthal
|
C | 4 | 5.5 | 1.2 | 0.8 | 0.0 | 0.5 | 0.0 | 0.5 | 0.2 | 1.8 | - | - | - | - | 0.0 | 0 | 0 | -0.03 | 250.0 | 0.0 |
Markus Starks
|
F | 19 | 6.2 | 0.7 | 0.9 | 0.1 | 0.1 | 0.0 | 0.2 | 0.2 | 1.4 | -74 | 20 | -3.7 | -26.3 | 66.7 | 0 | 0 | -5.8 | 233.3 | 66.7 |
Quron Davis
|
C | 8 | 3.6 | 0.2 | 0.6 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | 0.8 | -16 | 9 | -1.8 | -23.3 | 0 | 0 | 0 | -3.03 | 0 | 0 |
Arthur Gage
|
C | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Joshua Batson
|
G | 5 | 2.2 | 0.0 | 0.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.4 | -22 | 7 | -3.1 | -67.2 | 0 | 0 | 0 | -3.52 | 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