๐Ÿปโฌ‡๏ธ๐Ÿ€

Chicago State

Also known as: Chicago State Cougars
Program History

2015 Team Stats (1 games)

45.0
PPG
49.0
Opp
-4.0
Margin
31.9%
FG%
22.2%
3P%
60.0%
FT%
26.0
RPG
6.0
APG
16.0
TO
-
Est. poss./game
53.8
Adj PPG
66.4
Adj Opp PPG
#328
Scoring Rank

Model Outputs

2014-2015
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†’ 718 (#324) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 725 (#336) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 902 (#303) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -13.2 (#327) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -9.7 (#315) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.090 (#344) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -22.2 More โ†’ 0.071 (#334) AdjNet -22.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -22.4 More โ†’ 0.069 (#334) AdjNet -22.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 53.8 | AdjD 66.4 More โ†’ 0.242 (#328) AdjO 53.8 | AdjD 66.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.7 | AdjD 63.5 More โ†’ 0.350 (#310) AdjO 56.7 | AdjD 63.5
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†’ 0.189 (#328) 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†’ 0.206 (#327) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 141 | GP 29 More โ†’ 721 (#335) RD 141 | GP 29

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 @ Arizona State Sun Devils L 50 - 86
2014-11-16 @ Creighton Bluejays L 66 - 84
2014-11-18 vs IU Northwest INDIANA-NORTHWEST W 102 - 51
2014-11-22 vs Trinity Christian Trolls W 75 - 52
2014-11-24 vs Georgia State Panthers L 46 - 69
2014-11-25 @ Oakland Golden Grizzlies L 57 - 70
2014-11-26 @ Western Carolina Catamounts L 61 - 66
2014-11-29 @ Notre Dame Fighting Irish L 42 - 90
2014-12-04 vs DePaul Blue Demons L 60 - 84
2014-12-06 @ Toledo Rockets L 59 - 87
2014-12-14 @ Southern Illinois Salukis L 50 - 65
2014-12-17 @ Western Kentucky Hilltoppers L 60 - 75
2014-12-20 vs St. Josephs (IND) Pumas W 76 - 54
2014-12-22 @ SIU Edwardsville Cougars L 38 - 63
2014-12-29 vs Omaha Mavericks W 69 - 66
2014-12-31 @ Green Bay Phoenix L 50 - 54
2015-01-03 @ Bowling Green Falcons L 35 - 58
2015-01-10 @ UT Rio Grande Valley Vaqueros L 59 - 64
2015-01-17 @ Kansas City Roos L 62 - 64
2015-01-22 vs Seattle U Redhawks L 67 - 75
2015-01-24 vs Cal State Bakersfield Roadrunners L 41 - 57
2015-01-29 @ Utah Valley Wolverines L 62 - 78
2015-01-31 @ Grand Canyon Lopes W 56 - 55
2015-02-05 vs New Mexico State Aggies L 61 - 69
2015-02-07 vs UT Rio Grande Valley Vaqueros W 78 - 73
2015-02-14 vs Kansas City Roos L 50 - 61
2015-02-19 @ Cal State Bakersfield Roadrunners L 51 - 64
2015-02-21 @ Seattle U Redhawks L 31 - 57
2015-02-26 vs Grand Canyon Lopes W 74 - 70
2015-02-28 vs Utah Valley Wolverines W 65 - 44
2015-03-07 @ New Mexico State Aggies L 57 - 61
2015-03-12 @ Seattle U Redhawks L 45 - 49

2015 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%
Clarke Rosenberg Clarke Rosenberg G 22 28.6 12.4 4.0 2.0 1.1 0.4 2.7 1.7 15.5 -114 18 -6.3 -10.0 37.8 38.5 83.3 0.68 322.8 44.6
Sean Hill Sean Hill G 16 25.1 8.1 2.3 2.0 1.1 0.1 2.0 1.4 10.1 -16 11 -1.5 -2.6 17.4 9.1 66.7 0.41 265.2 19.6
Anthony Glover Anthony Glover G 23 22.1 7.5 1.3 1.1 0.7 0.0 1.3 0.4 8.8 -139 18 -7.7 -15.9 33.3 37.5 100.0 -1.77 833.3 50.0
Trayvon Palmer Trayvon Palmer G 22 24.0 7.5 4.6 0.7 0.8 0.6 1.9 0.7 11.5 -116 17 -6.8 -11.2 66.7 50.0 50.0 -1.06 489.3 73.3
Jared Dimakos Jared Dimakos F 14 16.4 5.3 3.1 0.4 0.6 0.0 1.4 0.0 7.9 - - - - 0 0 0 - 0 0
Jawad Adekoya Jawad Adekoya F 15 12.6 5.0 1.1 0.3 0.7 0.1 0.7 1.4 5.2 -68 11 -6.2 -26.0 38.1 38.9 81.8 -4.15 145.1 54.8
Rahjan Muhammad Rahjan Muhammad G 7 8.6 4.3 1.9 0.1 1.0 0.0 1.0 0.0 6.3 - - - - 0 0 0 - 0 0
Montana Byrd Montana Byrd G 20 12.2 4.0 1.4 0.2 0.3 0.1 0.7 0.0 5.4 -63 16 -3.9 -13.2 0 0 0 -4.06 0 0
Joshua Meier Joshua Meier F 23 20.0 3.9 3.7 0.6 0.6 0.5 1.8 0.6 6.8 -67 17 -3.9 -7.9 35.7 0 0 0.07 321.4 35.7
Johnny Griffin Johnny Griffin G 22 19.8 3.4 4.0 0.3 1.2 0.6 0.7 0.3 8.5 -90 17 -5.3 -13.2 66.7 0.0 16.7 -0.57 428.2 66.7
Sharieff Medlock Sharieff Medlock - 1 2.0 3.0 0.0 0.0 1.0 0.0 0.0 0.0 4.0 - - - - 0 0 0 - 0 0
Quron Davis Quron Davis C 13 12.5 2.5 2.5 0.1 0.3 0.3 0.8 0.0 4.9 - - - - 0 0 0 - 0 0
Joshua Batson Joshua Batson G 22 11.0 2.0 0.8 0.6 0.3 0.0 1.0 0.2 2.7 -60 15 -4.0 -21.3 50.0 0.0 50.0 -4.03 381.9 50.0
Kurt Karis Kurt Karis G 15 13.2 1.4 1.9 1.3 0.6 0.0 0.9 0.2 4.1 -48 11 -4.4 -12.2 0.0 0.0 50.0 -3.07 270.6 0.0
Elijah Robertson Elijah Robertson - 4 3.2 1.0 0.2 0.2 0.0 0.0 0.2 0.0 1.2 - - - - 0 0 0 - 0 0
Aaron Williams Aaron Williams F 18 9.5 0.9 1.4 0.1 0.4 0.2 0.7 0.4 1.9 -28 13 -2.2 -9.2 25.0 0.0 0 -0.75 106.2 25.0
Michael Johnson Michael Johnson - 6 5.8 0.7 2.5 0.3 0.2 0.2 0.2 0.0 3.7 - - - - 0 0 0 - 0 0
Jesse Tesmer Jesse Tesmer - 13 7.1 0.5 0.4 0.0 0.2 0.0 0.3 0.0 0.8 - - - - 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