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UIC Flames

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Also known as: UIC Flames
Program History
Coach: Robert Ehsan

2013 Team Stats (1 games)

56.0
PPG
45.0
Opp
+11.0
Margin
28.8%
FG%
25.0%
3P%
66.7%
FT%
50.0
RPG
9.0
APG
5.0
TO
-
Est. poss./game
61.7
Adj PPG
62.6
Adj Opp PPG
#182
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 → 909 (#223) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1018 (#162) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More → 960 (#229) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More → -0.8 (#181) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More → -2.3 (#201) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.450 (#189) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.6 More → 0.482 (#169) AdjNet -0.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.7 More → 0.480 (#169) AdjNet -0.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.7 | AdjD 62.6 More → 0.481 (#182) AdjO 61.7 | AdjD 62.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.6 | AdjD 64.8 More → 0.450 (#215) AdjO 62.6 | AdjD 64.8
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 → 0.448 (#198) 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 → 0.442 (#203) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 | GP 33 More → 964 (#198) RD 112 | GP 33

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-11 vs UC Riverside Highlanders W 59 - 52
2012-11-16 @ New Mexico Lobos L 59 - 66
2012-11-17 vs Mercer Bears W 62 - 36
2012-11-19 @ Iona Gaels W 86 - 81
2012-11-24 vs Southeast Missouri State Redhawks W 56 - 45
2012-11-27 @ Northern Illinois Huskies W 58 - 46
2012-12-01 @ Northwestern Wildcats W 50 - 44
2012-12-05 vs Roosevelt Lakers W 81 - 43
2012-12-08 vs Colorado State Rams W 64 - 55
2012-12-15 vs Eastern Michigan Eagles W 74 - 48
2012-12-18 @ Western Illinois Leathernecks L 54 - 70
2012-12-22 @ Miami (OH) Redhawks L 70 - 82
2012-12-29 @ Toledo Rockets L 55 - 74
2013-01-02 vs Youngstown State Penguins W 65 - 60
2013-01-07 @ Cleveland State Vikings L 50 - 60
2013-01-09 vs Valparaiso Beacons L 70 - 75
2013-01-12 @ Green Bay Phoenix L 47 - 53
2013-01-16 vs Loyola Chicago Ramblers W 61 - 59
2013-01-19 @ Detroit Mercy Titans L 47 - 98
2013-01-23 vs Milwaukee Panthers W 60 - 50
2013-01-26 @ Wright State Raiders W 55 - 49
2013-01-31 vs Green Bay Phoenix W 60 - 57
2013-02-02 vs Cleveland State Vikings L 66 - 77
2013-02-05 @ Valparaiso Beacons L 61 - 86
2013-02-10 @ Youngstown State Penguins W 88 - 83
2013-02-16 @ Loyola Chicago Ramblers L 60 - 69
2013-02-20 @ Milwaukee Panthers L 53 - 64
2013-02-23 vs Bradley Braves L 62 - 63
2013-02-26 vs Wright State Raiders W 60 - 55
2013-03-02 vs Detroit Mercy Titans L 67 - 79
2013-03-05 vs Cleveland State Vikings W 82 - 59
2013-03-08 @ Green Bay Phoenix L 63 - 64
2013-03-20 vs Chicago State Cougars W 80 - 69
2013-03-23 @ Northern Iowa Panthers L 51 - 63

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%
Gary Talton Gary Talton G 34 34.4 12.3 4.0 4.4 1.4 0.2 2.7 2.1 17.5 75 23 3.3 4.1 41.7 40.0 81.0 2.52 257.9 48.6
Daniel Barnes Daniel Barnes G 32 31.9 12.1 4.4 0.8 1.5 0.3 1.5 1.9 15.8 25 22 1.1 1.5 33.3 34.1 72.7 -1.24 299.2 45.0
Josh Crittle Josh Crittle C 34 27.1 10.5 5.5 2.1 0.9 0.9 2.2 1.4 16.1 47 23 2.0 3.2 51.0 0.0 57.9 0.32 311.2 51.0
Hayden Humes Hayden Humes F 34 33.2 10.3 5.2 1.3 0.6 0.4 1.4 1.7 14.7 24 23 1.0 1.4 40.7 26.9 76.9 -0.45 271.2 46.6
Marc Brown Marc Brown G 33 25.2 5.7 3.0 1.0 0.6 0.1 1.1 1.0 8.3 63 22 2.9 4.4 31.2 23.1 92.9 1.99 246.3 35.9
Anthony Kelley Anthony Kelley G-F 20 16.8 4.0 3.3 0.8 0.3 0.2 1.0 0.0 7.8 -12 11 -1.1 -2.9 0 0 0 -0.89 0 0
Joey Miller Joey Miller G 33 14.1 3.9 1.2 0.8 0.6 0.1 1.0 0.9 4.8 -24 22 -1.1 -3.7 31.0 46.7 66.7 -2.68 214.4 43.1
Will Simonton Will Simonton C 34 13.1 2.4 2.2 0.3 0.3 0.6 0.6 0.4 4.8 -34 23 -1.5 -5.4 35.7 0.0 100.0 -4.0 272.2 35.7
Jake Wiegand Jake Wiegand F 26 6.8 2.4 1.4 0.1 0.1 0.1 0.4 0.2 3.4 17 17 1.0 6.7 40.0 100.0 0 0.26 620.0 50.0
Jay Parker Jay Parker G 31 6.6 1.3 0.9 1.0 0.3 0.1 0.8 0.2 2.7 -33 21 -1.6 -10.5 20.0 0.0 100.0 -1.52 348.6 20.0
Ahman Fells Ahman Fells F 18 5.7 1.2 0.7 0.2 0.3 0.1 0.1 0.1 2.2 -33 12 -2.8 -30.1 0.0 0.0 0 -5.25 525.0 0.0
Gabe Snider Gabe Snider G 13 5.0 1.1 0.5 0.0 0.2 0.0 0.3 0.1 1.4 3 8 0.4 6.1 0.0 0.0 0 -0.92 700.0 0.0
Ngijol Songolo Ngijol Songolo - 5 2.4 0.6 0.6 0.0 0.2 0.0 0.0 0.0 1.4 - - - - 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