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Chicago State

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Chicago State Cougars
Program History
Coach: Tracy Dildy

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 → 552 (#345) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 714 (#339) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More → 833 (#344) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → -15.1 (#337) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More → -14.5 (#333) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.063 (#350) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.9 More → 0.074 (#336) AdjNet -21.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -22.0 More → 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 → 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 → 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 → 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 → 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 → 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

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 Fred Sims G 14 33.8 17.4 3.9 1.6 1.4 0.4 1.9 3.9 18.9 -288 24 -12.0 -14.8 44.4 55.6 66.7 -2.63 214.5 58.3
Trayvon Palmer Trayvon Palmer G 15 33.7 14.1 8.9 1.3 1.8 0.7 2.8 2.5 21.5 -280 25 -11.2 -13.3 43.2 30.8 68.8 0.12 240.7 48.6
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
Clemmye Owens Clemmye Owens G 14 24.6 7.9 2.8 1.9 1.1 0.1 1.3 2.0 10.5 -127 22 -5.8 -10.1 46.4 50.0 37.5 1.26 176.1 58.9
Glen Burns Glen Burns G 8 21.6 5.2 2.1 3.0 0.9 0.1 1.6 0.9 8.9 -57 8 -7.1 -16.9 42.9 33.3 80.0 -2.16 154.4 50.0
Deionte Simmons Deionte Simmons F 15 16.0 5.1 5.1 0.0 0.5 0.5 1.3 1.7 8.1 -115 25 -4.6 -13.5 44.0 0.0 0.0 -2.39 146.8 44.0
Delundre Dixon Delundre Dixon G 11 19.2 4.4 1.3 1.3 0.4 0.1 1.0 0.5 5.9 -166 20 -8.3 -16.7 40.0 25.0 0 -4.53 480.0 50.0
Anthony Eaves Anthony Eaves G 12 13.2 3.7 1.8 0.4 0.3 0.2 0.9 1.1 4.4 -159 21 -7.6 -19.9 46.2 40.0 0 -2.98 169.2 53.8
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 12 16.8 2.8 3.3 0.4 0.2 0.6 0.9 0.6 5.8 -162 22 -7.4 -16.1 42.9 0 33.3 -1.78 198.3 42.9
Joshua Batson Joshua Batson G 15 15.1 2.3 1.8 1.3 0.9 0.0 1.3 1.3 3.7 -155 23 -6.7 -15.8 20.0 20.0 75.0 -2.68 78.1 25.0
Gentry Hunt Gentry Hunt G 9 4.1 1.2 0.6 0.0 0.0 0.0 0.4 0.1 1.2 -18 12 -1.5 -14.4 0.0 0 0 -0.7 550.0 0.0
Alex Dubovitskiy Alex Dubovitskiy G 12 6.5 0.7 0.3 0.0 0.2 0.0 0.3 0.2 0.7 -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