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Chicago State

Also known as: Chicago State Cougars
Program History

2017 Team Stats (3 games)

67.0
PPG
75.0
Opp
-8.0
Margin
41.3%
FG%
36.4%
3P%
66.0%
FT%
32.0
RPG
12.3
APG
14.7
TO
-
Est. poss./game
61.8
Adj PPG
76.4
Adj Opp PPG
#337
Scoring Rank

Model Outputs

2016-2017
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†’ 552 (#345) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 714 (#339) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 833 (#344) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -15.1 (#337) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -14.5 (#333) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.063 (#350) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.9 More โ†’ 0.074 (#336) AdjNet -21.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -22.0 More โ†’ 0.072 (#334) AdjNet -22.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.8 | AdjD 76.4 More โ†’ 0.210 (#337) AdjO 61.8 | AdjD 76.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.0 | AdjD 75.3 More โ†’ 0.246 (#345) AdjO 63.0 | AdjD 75.3
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†’ 0.148 (#342) 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†’ 0.153 (#342) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 144 | GP 29 More โ†’ 677 (#340) RD 144 | GP 29

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-12 vs Illinois Tech Scarlet Hawks W 97 - 89
2016-11-17 @ Wisconsin Badgers L 51 - 69
2016-11-19 @ Oakland Golden Grizzlies L 79 - 107
2016-11-22 vs East West Phantoms W 103 - 75
2016-11-26 @ Notre Dame Fighting Irish L 60 - 91
2016-11-30 @ UIC Flames L 58 - 74
2016-12-03 @ Western Illinois Leathernecks W 83 - 76
2016-12-10 @ Bradley Braves L 48 - 83
2016-12-11 @ Saint Louis Billikens L 43 - 45
2016-12-14 @ Northwestern Wildcats L 64 - 68
2016-12-17 @ DePaul Blue Demons L 61 - 109
2016-12-19 @ Missouri State Bears L 46 - 66
2016-12-22 vs Southeast Missouri State Redhawks W 74 - 65
2016-12-23 vs Troy Trojans L 65 - 83
2016-12-28 @ Valparaiso Beacons L 61 - 80
2016-12-30 @ Central Michigan Chippewas L 82 - 90
2017-01-05 vs UT Rio Grande Valley Vaqueros L 64 - 83
2017-01-07 vs New Mexico State Aggies L 62 - 78
2017-01-12 @ Utah Valley Wolverines W 70 - 61
2017-01-14 @ Seattle U Redhawks L 50 - 65
2017-01-18 vs Roosevelt Lakers W 77 - 57
2017-01-21 @ UT Rio Grande Valley Vaqueros L 77 - 85
2017-01-26 vs Cal State Bakersfield Roadrunners L 59 - 75
2017-01-28 vs Grand Canyon Lopes L 77 - 85
2017-02-04 @ New Mexico State Aggies L 51 - 86
2017-02-09 vs Seattle U Redhawks L 65 - 90
2017-02-11 vs Utah Valley Wolverines L 54 - 87
2017-02-18 @ Kansas City Roos L 65 - 84
2017-02-23 @ Grand Canyon Lopes L 59 - 82
2017-02-25 @ Cal State Bakersfield Roadrunners L 49 - 69
2017-03-04 vs Kansas City Roos L 82 - 87
2017-03-09 @ New Mexico State Aggies L 53 - 67

2017 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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 Fred Sims G 11 34.4 17.9 4.1 1.7 1.4 0.5 1.8 3.5 20.3 -288 24 -12.0 -14.8 44.7 57.1 75.0 -2.63 247.7 55.3
Trayvon Palmer Trayvon Palmer G 12 33.2 14.2 8.8 1.2 2.1 0.8 2.8 2.0 22.1 -280 25 -11.2 -13.3 37.5 30.0 66.7 0.12 290.3 43.8
Clemmye Owens Clemmye Owens G 11 24.1 8.2 2.7 2.0 1.3 0.0 1.2 1.9 11.1 -127 22 -5.8 -10.1 52.4 50.0 37.5 1.26 183.5 64.3
Brian Greene Brian Greene G 3 24.7 8.0 2.7 3.0 0.0 0.3 2.3 7.0 4.7 -124 19 -6.5 -19.7 38.1 20.0 85.7 -2.5 49.8 42.9
Glen Burns Glen Burns G 6 19.3 5.2 1.3 2.5 0.7 0.2 1.3 1.2 7.3 -57 8 -7.1 -16.9 42.9 33.3 80.0 -2.16 114.0 50.0
Deionte Simmons Deionte Simmons F 12 15.8 4.9 5.4 0.0 0.3 0.6 1.2 1.9 8.2 -115 25 -4.6 -13.5 43.5 0.0 0.0 -2.39 123.5 43.5
Delundre Dixon Delundre Dixon G 10 19.6 4.1 1.4 1.3 0.4 0.1 1.1 0.5 5.7 -166 20 -8.3 -16.7 40.0 25.0 0 -4.53 410.0 50.0
Montana Byrd Montana Byrd G 6 17.3 3.2 1.7 0.5 0.3 0.3 0.8 0.2 5.0 -34 10 -3.4 -9.6 0.0 0 0 -0.24 950.0 0.0
Patrick Szpir Patrick Szpir F 9 16.7 3.2 3.3 0.2 0.3 0.6 0.8 0.6 6.3 -162 22 -7.4 -16.1 60.0 0 0.0 -1.78 266.5 60.0
Joshua Batson Joshua Batson G 12 16.6 2.7 2.2 1.5 1.1 0.0 1.7 1.5 4.2 -155 23 -6.7 -15.8 22.2 20.0 75.0 -2.68 81.0 27.8
Anthony Eaves Anthony Eaves G 10 12.3 2.6 1.6 0.4 0.3 0.0 0.9 0.5 3.5 -159 21 -7.6 -19.9 20.0 0.0 0 -2.98 260.0 20.0
Gentry Hunt Gentry Hunt G 8 4.5 1.4 0.6 0.0 0.0 0.0 0.5 0.1 1.4 -18 12 -1.5 -14.4 0.0 0 0 -0.7 550.0 0.0
Alex Dubovitskiy Alex Dubovitskiy G 10 7.2 0.8 0.4 0.0 0.3 0.0 0.4 0.3 0.8 -65 14 -4.6 -21.0 100.0 100.0 0 -2.03 133.3 133.3

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