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Chicago State

Also known as: Chicago State Cougars
Program History

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
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 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. HCA +92 elo More โ†’ 921 (#281) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -9.3 (#293) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 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. AdjNet -12.7 More โ†’ 0.188 (#288) AdjNet -12.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -12.8 More โ†’ 0.185 (#288) AdjNet -12.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.7 | AdjD 76.5 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. AdjO 66.9 | AdjD 73.3 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 132 | GP 30 More โ†’ 859 (#266) RD 132 | GP 30

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 @ Indiana Hoosiers L 72 - 100
2013-11-09 vs Urbana Blue Knights W 77 - 52
2013-11-12 vs Jacksonville State Gamecocks W 79 - 75
2013-11-15 @ Bradley Braves L 64 - 77
2013-11-18 @ Alabama State Hornets L 75 - 79
2013-11-22 @ Illinois Fighting Illini L 53 - 77
2013-11-30 vs Southern Illinois Salukis W 88 - 84
2013-12-04 @ Illinois State Redbirds L 56 - 75
2013-12-07 vs Parkside Rangers W 90 - 81
2013-12-15 @ DePaul Blue Demons L 70 - 77
2013-12-16 vs SIU Edwardsville Cougars W 81 - 64
2013-12-23 @ Cincinnati Bearcats L 62 - 102
2013-12-29 @ Creighton Bluejays L 58 - 90
2014-01-04 @ Idaho Vandals W 57 - 55
2014-01-07 vs Green Bay Phoenix L 62 - 98
2014-01-11 @ Kansas City Roos W 68 - 66
2014-01-16 vs New Mexico State Aggies W 86 - 81
2014-01-18 vs UT Rio Grande Valley Vaqueros L 61 - 84
2014-01-23 @ Cal State Bakersfield Roadrunners W 71 - 63
2014-01-25 @ Utah Valley Wolverines L 55 - 62
2014-01-30 vs Grand Canyon Lopes L 75 - 76
2014-02-08 vs Kansas City Roos W 81 - 74
2014-02-13 @ UT Rio Grande Valley Vaqueros L 68 - 71
2014-02-15 @ New Mexico State Aggies L 55 - 84
2014-02-20 vs Utah Valley Wolverines L 70 - 79
2014-02-22 vs Cal State Bakersfield Roadrunners W 73 - 68
2014-02-24 @ Eastern Illinois Panthers L 62 - 84
2014-02-27 @ Seattle U Redhawks W 84 - 77
2014-03-01 @ Grand Canyon Lopes L 74 - 84
2014-03-06 vs Idaho Vandals L 76 - 79
2014-03-08 vs Seattle U Redhawks W 67 - 53
2014-03-13 vs Cal State Bakersfield Roadrunners L 62 - 68

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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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