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Chicago State

Also known as: Chicago State Cougars
Program History

2026 Team Stats (30 games)

66.5
PPG
75.6
Opp
-9.1
Margin
40.8%
FG%
31.8%
3P%
73.9%
FT%
31.3
RPG
11.8
APG
10.2
TO
76.2
Pace
65.4
AdjO
80.3
AdjD
#345
Rank

Model Outputs

2025-2026
Catalog

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 → 749 (#343) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 715 (#352) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 997 (#318) HCA +109 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 916 (#650) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → -14.5 (#342) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +2.0 (#336) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -1.3 (#379) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.136 (#348) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -20.8 More → 0.072 (#321) NetEff -20.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -20.6 More → 0.085 (#343) AdjNet -20.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -20.7 More → 0.083 (#343) AdjNet -20.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.4 | AdjD 80.3 More → 0.205 (#345) AdjO 65.4 | AdjD 80.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.9 | AdjD 73.4 More → 0.488 (#295) AdjO 72.9 | AdjD 73.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.8 | AdjD 72.0 More → 0.406 (#604) AdjO 67.8 | AdjD 72.0
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.468 (#360) Blend of Elo, BT, Margin, PythLog, PtsOD
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.455 (#368) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.470 (#352) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.428 (#381) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 948 (#297) RD 350 | GP 1
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 160 | GP 30 More → 820 (#649) RD 160 | GP 30

2026 Schedule & Results

2026 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Cj Ray Cj Ray - 30 31.4 13.8 4.7 1.6 0.9 0.1 1.2 12.1 7.7 -190 -8.6 -14.1 42.7 37.7 84.4 0.14 52.3 48.2
M. Tankersley M. Tankersley G 28 30.5 12.9 3.1 2.5 0.7 0.0 2.1 10.7 6.5 -229 -11.4 -17.2 45.7 25.0 65.0 -1.46 51.0 46.8
D. Cockrill III D. Cockrill III G 26 24.1 11.7 2.6 2.0 1.0 0.0 1.0 9.1 7.1 59 3.0 10.1 37.6 35.5 83.5 -0.21 55.2 48.9
T. Byard T. Byard - 20 23.7 10.6 5.2 0.8 0.8 0.7 1.5 8.4 8.2 - - - 47.6 41.7 73.4 - 54.0 49.1
B. Bush B. Bush - 25 25.7 8.5 1.7 2.8 1.3 0.0 1.4 8.0 5.0 -187 -11.7 -20.4 38.2 27.6 94.4 -1.33 49.6 45.0
C. Gibson C. Gibson - 14 15.0 4.7 2.5 1.3 0.4 0.1 1.0 5.6 2.5 -48 -4.0 -13.3 30.8 25.0 42.9 -0.65 39.2 38.5
D. Cox D. Cox - 30 15.5 3.3 3.3 0.2 0.3 0.0 0.3 3.0 3.8 -99 -4.3 -15.5 47.3 33.3 69.2 -0.84 50.7 48.9
M. Robinson M. Robinson - 30 15.5 3.1 1.6 0.9 1.8 0.0 0.7 2.5 4.2 39 1.8 3.2 32.9 33.3 69.2 0.55 47.0 37.5
Corey Sands Corey Sands - 29 17.4 2.8 1.9 0.6 0.4 0.0 0.4 3.1 2.3 -139 -7.0 -18.1 31.5 25.9 73.3 -0.8 42.9 39.9
L. Larvadain III L. Larvadain III - 19 11.2 2.8 1.2 0.7 0.7 0.1 0.9 3.3 1.4 -9 -0.6 -3.2 30.6 23.1 70.6 0.3 38.1 33.1
J. Owens J. Owens - 24 10.5 2.1 2.0 0.2 0.3 0.5 0.5 1.6 3.0 -34 -2.1 -9.3 52.6 0 62.5 0.11 55.5 52.6
CJ Delancy CJ Delancy - 5 9.2 2.0 2.2 0.4 0.2 0.0 0.2 1.8 2.8 -10 -1.7 -11.7 44.4 0 100.0 -0.0 50.6 44.4
Daniel Zatsepin Daniel Zatsepin - 27 7.6 0.9 1.2 0.1 0.5 0.0 0.2 0.9 1.6 -76 -4.0 -20.9 36.0 50.0 50.0 0.05 40.3 38.0
D. Jean-Charles D. Jean-Charles - 4 8.5 0.8 1.2 0.5 0.2 0.0 0.0 0.8 2.0 -13 -3.2 -14.8 0.0 0 75.0 0.01 31.5 0.0
D. Thomas D. Thomas - 20 4.6 0.7 0.6 0.1 0.3 0.0 0.1 0.3 1.1 20 1.7 15.9 42.9 0 63.6 0.25 54.9 42.9
D. Bates D. Bates G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
G. Spate G. Spate G 0 - 0.0 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