Chicago State
2016 Team Stats (3 games)
55.3
PPG
72.3
Opp
-17.0
Margin
34.6%
FG%
30.2%
3P%
66.0%
FT%
37.0
RPG
10.0
APG
16.3
TO
-
Est. poss./game
61.9
Adj PPG
77.4
Adj Opp PPG
#343
Scoring Rank
Model Outputs
2015-2016
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 | 551 (#349) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 583 (#351) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 793 (#351) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -16.2 (#342) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -18.0 (#349) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.067 (#350) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.062 (#343) | AdjNet -23.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.060 (#343) | AdjNet -23.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.196 (#343) | AdjO 61.9 | AdjD 77.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.220 (#351) | AdjO 62.1 | AdjD 76.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.119 (#349) | 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 | 0.122 (#350) | 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 | 587 (#351) | RD 148 | GP 29 |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fred Sims
|
G | 28 | 20.6 | 11.0 | 2.4 | 0.9 | 0.8 | 0.1 | 1.1 | 1.4 | 12.7 | -195 | 21 | -9.3 | -19.1 | 27.5 | 10.0 | 66.7 | -4.02 | 362.3 | 28.7 |
Kieran Woods
|
G | 20 | 21.9 | 9.8 | 4.3 | 2.8 | 1.8 | 0.3 | 2.4 | 1.9 | 14.7 | -71 | 12 | -5.9 | -12.0 | 37.8 | 11.1 | 61.1 | 3.01 | 217.1 | 39.2 |
Trayvon Palmer
|
G | 27 | 29.9 | 9.5 | 7.7 | 1.4 | 1.3 | 1.0 | 2.4 | 1.0 | 17.6 | -217 | 20 | -10.8 | -15.7 | 25.9 | 12.5 | 56.2 | -1.26 | 377.5 | 27.8 |
Clemmye Owens
|
G | 19 | 25.3 | 9.3 | 2.6 | 1.8 | 1.1 | 0.0 | 1.3 | 1.3 | 12.2 | -98 | 18 | -5.4 | -10.7 | 33.3 | 35.3 | 0 | 0.66 | 366.7 | 45.8 |
Elliott Cole
|
G | 25 | 18.9 | 9.3 | 1.6 | 1.6 | 0.9 | 0.0 | 1.8 | 1.4 | 10.2 | -105 | 18 | -5.8 | -14.9 | 20.0 | 16.0 | 50.0 | -1.52 | 323.3 | 25.7 |
Jawad Adekoya
|
F | 21 | 18.1 | 7.3 | 2.6 | 0.6 | 0.5 | 0.0 | 1.0 | 1.6 | 8.5 | -102 | 13 | -7.8 | -20.6 | 33.3 | 41.2 | 71.4 | -2.03 | 212.0 | 43.9 |
Anthony Eaves
|
G | 26 | 14.3 | 5.7 | 1.9 | 1.4 | 0.6 | 0.1 | 1.5 | 1.5 | 6.8 | -91 | 20 | -4.5 | -13.9 | 52.5 | 52.2 | 100.0 | -2.08 | 184.2 | 67.5 |
Jared Dimakos
|
F | 4 | 13.8 | 4.8 | 3.0 | 1.8 | 0.5 | 0.2 | 0.2 | 0.0 | 10.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jordan Madrid-Andrews
|
F | 28 | 14.8 | 3.7 | 3.7 | 0.3 | 0.3 | 0.2 | 1.1 | 0.7 | 6.5 | -158 | 22 | -7.2 | -21.5 | 52.6 | 0.0 | 66.7 | -3.01 | 238.0 | 52.6 |
Devon Friend
|
NA | 18 | 15.5 | 3.6 | 2.9 | 0.2 | 0.7 | 0.4 | 1.1 | 0.9 | 5.9 | -36 | 15 | -2.4 | -6.4 | 50.0 | 0 | 42.9 | 1.33 | 170.3 | 50.0 |
Quron Davis
|
C | 28 | 15.8 | 3.4 | 3.1 | 0.4 | 0.2 | 0.7 | 0.9 | 0.5 | 6.5 | -144 | 21 | -6.9 | -18.5 | 26.7 | 0 | 66.7 | -3.51 | 236.7 | 26.7 |
Montana Byrd
|
G | 26 | 11.3 | 2.9 | 1.9 | 0.4 | 0.4 | 0.1 | 0.7 | 0.6 | 4.4 | -93 | 19 | -4.9 | -19.9 | 6.2 | 0.0 | 0 | -3.78 | 237.5 | 6.2 |
Delundre Dixon
|
G | 22 | 13.1 | 2.5 | 1.4 | 0.8 | 0.5 | 0.2 | 0.8 | 0.5 | 4.1 | -19 | 16 | -1.2 | -4.4 | 36.4 | 0.0 | 66.7 | 1.31 | 183.8 | 36.4 |
Joshua Batson
|
G | 28 | 17.4 | 2.1 | 1.9 | 1.6 | 0.6 | 0.1 | 0.8 | 0.8 | 4.6 | -190 | 22 | -8.6 | -21.4 | 31.8 | 28.6 | 75.0 | -5.33 | 124.2 | 36.4 |
Gentry Hunt
|
G | 6 | 2.2 | 0.3 | 0.2 | 0.0 | 0.2 | 0.2 | 0.2 | 0.0 | 0.7 | - | - | - | - | 0 | 0 | 0 | -0.37 | 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