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UIC Flames

2014 Team Stats (2 games)

82.5
PPG
81.0
Opp
+1.5
Margin
43.8%
FG%
34.0%
3P%
76.1%
FT%
37.5
RPG
13.5
APG
12.0
TO
-
Est. poss./game
65.3
Adj PPG
71.3
Adj Opp PPG
#272
Scoring Rank

Model Outputs

2013-2014
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†’ 765 (#321) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 737 (#326) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 843 (#343) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -6.1 (#265) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -6.0 (#264) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.215 (#314) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.0 More โ†’ 0.262 (#263) AdjNet -9.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -9.0 More โ†’ 0.261 (#263) AdjNet -9.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.3 | AdjD 71.3 More โ†’ 0.367 (#272) AdjO 65.3 | AdjD 71.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.2 | AdjD 69.3 More โ†’ 0.385 (#287) AdjO 64.2 | AdjD 69.3
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†’ 0.265 (#295) 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†’ 0.268 (#302) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 166 | GP 29 More โ†’ 728 (#324) RD 166 | GP 29

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-09 vs Drake Bulldogs L 59 - 61
2013-11-13 vs Roosevelt Lakers W 87 - 65
2013-11-16 vs Eastern Illinois Panthers L 66 - 86
2013-11-20 vs Northwestern Wildcats L 58 - 93
2013-11-25 @ San Diego Toreros W 74 - 70
2013-11-26 @ Louisiana Tech Bulldogs L 78 - 103
2013-11-27 vs Wagner Seahawks W 94 - 76
2013-12-04 vs SMU Mustangs L 65 - 73
2013-12-07 @ Loyola Chicago Ramblers L 70 - 73
2013-12-14 @ Southeast Missouri State Redhawks W 75 - 69
2013-12-17 vs Purdue Northwest Pride W 88 - 61
2013-12-20 @ UC Riverside Highlanders L 56 - 57
2013-12-23 @ Colorado State Rams L 61 - 74
2013-12-28 @ Illinois Fighting Illini L 60 - 74
2014-01-02 @ Valparaiso Beacons L 72 - 87
2014-01-07 vs Youngstown State Penguins L 62 - 75
2014-01-12 @ Wright State Raiders L 53 - 58
2014-01-16 vs Milwaukee Panthers L 63 - 67
2014-01-19 vs Green Bay Phoenix L 64 - 69
2014-01-22 vs Cleveland State Vikings L 64 - 74
2014-01-25 @ Oakland Golden Grizzlies L 75 - 76
2014-01-29 @ Detroit Mercy Titans L 68 - 74
2014-02-01 vs Valparaiso Beacons L 46 - 70
2014-02-05 @ Green Bay Phoenix L 70 - 81
2014-02-13 @ Cleveland State Vikings L 53 - 73
2014-02-15 @ Youngstown State Penguins L 56 - 59
2014-02-18 vs Detroit Mercy Titans L 59 - 65
2014-02-21 vs Oakland Golden Grizzlies L 71 - 86
2014-02-25 @ Milwaukee Panthers W 80 - 58
2014-03-01 vs Wright State Raiders L 61 - 68
2014-03-04 @ Valparaiso Beacons L 63 - 73

2014 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%
Kelsey Barlow Kelsey Barlow G 2 32.0 23.0 6.0 6.5 1.0 0.0 2.5 9.0 25.0 -75 20 -3.8 -5.2 50.0 41.7 88.5 0.15 78.1 63.9
Marc Brown Marc Brown G 22 29.5 11.3 2.9 1.5 0.9 0.0 2.2 2.7 11.6 -86 20 -4.3 -6.3 46.7 45.0 77.5 -0.49 160.4 54.2
Jake Wiegand Jake Wiegand F 22 22.0 8.0 5.6 0.3 0.5 0.1 0.9 1.7 11.9 -68 20 -3.4 -7.0 47.4 0.0 75.0 -1.47 175.9 47.4
Pat Birt Pat Birt G 2 17.5 7.0 3.0 0.0 0.0 0.0 1.5 4.5 4.0 -14 20 -0.7 -1.5 55.6 50.0 100.0 1.19 70.9 66.7
Hayden Humes Hayden Humes F 19 25.7 6.7 3.2 0.9 0.4 0.2 1.1 2.1 8.2 -49 17 -2.9 -4.8 35.9 36.0 75.0 0.27 150.5 47.4
Jay Parker Jay Parker G 17 19.8 4.1 2.4 2.9 1.2 0.2 1.8 0.8 8.4 -52 15 -3.5 -7.5 53.8 0.0 85.7 -0.85 182.7 53.8
Jordan Harks Jordan Harks F 2 9.0 4.0 3.0 0.5 0.0 0.0 0.5 3.0 4.0 -37 20 -1.9 -3.4 66.7 0 0.0 0.73 54.6 66.7
Lance Whitaker Lance Whitaker G 2 17.5 4.0 2.0 2.0 0.5 0.0 1.0 1.0 6.5 - - - - 50.0 0 100.0 - 138.9 50.0
Gabe Snider Gabe Snider G 18 13.7 3.8 1.2 0.2 0.2 0.2 0.4 1.3 3.8 -58 13 -4.5 -18.5 50.0 50.0 0 -5.76 143.8 64.6
Markese McGuire Markese McGuire G 21 11.3 3.0 1.0 0.1 0.3 0.0 0.7 1.0 2.7 -79 19 -4.2 -14.6 28.6 16.7 66.7 -4.22 131.1 31.0
Will Simonton Will Simonton C 15 9.5 2.2 1.8 0.1 0.2 0.7 0.3 0.3 4.3 -40 13 -3.1 -13.4 40.0 0 50.0 -2.02 280.6 40.0
Ahman Fells Ahman Fells F 17 8.4 2.1 1.9 0.1 0.4 0.2 0.4 0.7 3.5 -11 15 -0.7 -4.4 41.7 0.0 60.0 0.32 126.8 41.7
Joey Miller Joey Miller G 5 6.0 0.8 0.0 0.4 0.2 0.0 0.8 0.6 0.0 - - - - 33.3 0.0 100.0 -2.71 51.5 33.3
Frank Dounis Frank Dounis G 4 1.8 0.5 0.0 0.0 0.0 0.0 0.2 0.0 0.2 - - - - 0 0 0 -0.9 0 0
H. Lauer H. Lauer F 7 3.1 0.4 0.6 0.0 0.1 0.0 0.1 0.1 0.9 - - - - 0.0 0 100.0 -1.09 79.8 0.0
Marcus White Marcus White G 7 6.3 0.4 0.0 0.7 0.3 0.0 0.0 1.0 0.4 -28 6 -4.7 -27.5 14.3 16.7 0 -4.78 21.4 21.4

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