๐Ÿปโฌ‡๏ธ๐Ÿ€

Chicago State

Also known as: Chicago State Cougars
Program History

2013 Team Stats (1 games)

44.0
PPG
87.0
Opp
-43.0
Margin
26.5%
FG%
33.3%
3P%
66.7%
FT%
22.0
RPG
5.0
APG
14.0
TO
-
Est. poss./game
59.1
Adj PPG
68.4
Adj Opp PPG
#305
Scoring Rank

Model Outputs

2012-2013
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†’ 697 (#316) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 757 (#320) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 930 (#266) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ -10.0 (#306) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ -8.2 (#286) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.233 (#296) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -15.4 More โ†’ 0.145 (#305) AdjNet -15.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -15.5 More โ†’ 0.142 (#306) AdjNet -15.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.1 | AdjD 68.4 More โ†’ 0.299 (#305) AdjO 59.1 | AdjD 68.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.2 | AdjD 66.8 More โ†’ 0.398 (#269) AdjO 62.2 | AdjD 66.8
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†’ 0.255 (#298) 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†’ 0.272 (#296) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 123 | GP 29 More โ†’ 789 (#307) RD 123 | GP 29

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-10 @ Green Bay Phoenix L 67 - 72
2012-11-13 vs Concordia Illinois Cougars W 81 - 65
2012-11-16 @ Kent State Golden Flashes L 63 - 92
2012-11-18 @ Tulane Green Wave L 51 - 79
2012-11-23 @ Valparaiso Beacons L 46 - 67
2012-11-24 vs Omaha Mavericks L 66 - 68
2012-11-26 @ Notre Dame Fighting Irish L 65 - 92
2012-11-29 vs Trinity (IL) Trolls W 87 - 61
2012-12-01 @ SIU Edwardsville Cougars L 57 - 71
2012-12-05 vs DePaul Blue Demons L 64 - 74
2012-12-08 vs Alabama State Hornets W 67 - 54
2012-12-16 @ Oregon State Beavers L 77 - 87
2012-12-19 @ Rice Owls L 60 - 63
2012-12-22 @ Houston Cougars L 57 - 79
2012-12-29 @ Ohio State Buckeyes L 44 - 87
2012-12-31 @ Toledo Rockets W 58 - 53
2013-01-03 @ UNLV Rebels L 52 - 74
2013-01-12 @ NJIT Highlanders L 78 - 83
2013-01-14 vs Benedictine College Ravens W 77 - 53
2013-01-19 vs Houston Christian Huskies W 81 - 56
2013-01-20 vs Loyola Chicago Ramblers L 63 - 66
2013-01-26 vs Utah Valley Wolverines W 62 - 54
2013-02-02 @ UT Rio Grande Valley Vaqueros L 65 - 68
2013-02-09 vs NJIT Highlanders L 58 - 63
2013-02-16 vs Urbana Blue Knights W 82 - 74
2013-02-19 @ Omaha Mavericks L 75 - 79
2013-02-23 vs UT Rio Grande Valley Vaqueros L 51 - 55
2013-02-26 vs Eastern Illinois Panthers L 50 - 58
2013-03-02 @ Utah Valley Wolverines L 69 - 76
2013-03-09 @ Houston Christian Huskies W 71 - 58
2013-03-15 vs UT Rio Grande Valley Vaqueros W 63 - 55
2013-03-16 vs Houston Christian Huskies W 75 - 60
2013-03-20 @ UIC Flames L 69 - 80

2013 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 31 29.2 10.7 4.2 2.2 1.8 0.4 1.6 0.8 16.8 -40 23 -1.7 -2.6 48.0 45.0 50.0 1.71 641.4 66.0
Matt Ross Matt Ross F 32 30.7 10.0 6.3 0.9 0.9 1.0 1.8 0.5 16.8 -59 24 -2.5 -3.4 40.0 25.0 50.0 0.58 951.7 46.7
Jamere Dismukes Jamere Dismukes G 30 25.4 9.5 2.2 3.3 1.6 0.0 2.5 1.2 12.9 -80 22 -3.6 -6.2 33.3 16.7 71.4 -2.3 365.9 36.1
Nate Duhon Nate Duhon G 28 25.1 9.3 3.0 1.4 1.8 0.1 1.7 0.3 13.6 -7 21 -0.3 -0.6 12.5 0 100.0 1.24 1173.3 12.5
Jeremy Robinson Jeremy Robinson F 32 20.7 8.4 5.1 1.1 0.8 0.7 2.1 0.9 13.2 -127 24 -5.3 -10.9 37.9 0.0 75.0 -4.34 435.6 37.9
Clarke Rosenberg Clarke Rosenberg G 32 22.7 7.4 2.8 1.7 1.1 0.2 1.7 0.8 10.6 -59 24 -2.5 -4.8 24.0 20.0 92.9 -0.91 378.7 26.0
Greg Tucker Greg Tucker - 9 18.7 7.2 0.9 1.3 0.6 0.0 2.8 0.7 6.6 - - - - 33.3 66.7 0 - 541.7 50.0
Corey Gray Corey Gray G 31 18.5 4.9 1.5 1.1 0.5 0.0 1.2 0.2 6.6 -88 24 -3.7 -8.5 16.7 20.0 0 -2.82 1266.7 25.0
Aaron Williams Aaron Williams F 24 10.3 3.3 2.1 0.3 0.6 0.1 0.5 0.7 5.3 -54 17 -3.2 -13.7 31.2 40.0 100.0 -3.48 234.0 37.5
Markus Starks Markus Starks F 29 13.2 1.7 2.3 0.1 0.1 0.2 0.8 0.3 3.4 -73 20 -3.6 -11.5 25.0 0 100.0 -4.82 281.5 25.0
Mashawn Chamberlain Mashawn Chamberlain F 20 11.8 0.7 1.1 0.5 0.5 0.0 0.6 0.1 2.0 -87 15 -5.8 -19.6 0.0 0 0 -6.12 700.0 0.0
Arthur Gage Arthur Gage C 18 5.7 0.5 0.9 0.1 0.2 0.5 0.2 0.0 1.9 -4 14 -0.3 -2.0 0 0 50.0 -1.27 511.4 0
Quincy Ukaigwe Quincy Ukaigwe C 14 4.5 0.3 0.8 0.0 0.3 0.1 0.3 0.1 1.1 1 9 0.1 0.9 0.0 0 50.0 1.09 106.4 0.0
Nate Henry Nate Henry - 4 2.2 0.0 0.0 0.0 0.2 0.0 0.5 0.0 -0.2 - - - - 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