🐻⬇️🏀

UL Monroe

Also known as: UL Monroe Warhawks
Program History

2013 Team Stats (1 games)

52.0
PPG
72.6
Opp
-12.6
Margin
42.9%
FG%
25.0%
3P%
50.0%
FT%
32.0
RPG
12.0
APG
22.0
TO
77.2
Pace

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 → 701 (#1103) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1099 (#313) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 849 (#579) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +14.5 (#351) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -9.8 (#456) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -22.9 More → 0.044 (#260) NetEff -22.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.6 | AdjD 71.6 More → 0.269 (#583) AdjO 60.6 | AdjD 71.6
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 → 0.254 (#477) 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 → 0.236 (#527) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 156 | GP 28 More → 748 (#580) RD 156 | GP 28

2013 Schedule & Results

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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
A. Olatayo A. Olatayo G 23 30.8 15.8 5.8 0.9 1.4 0.4 2.2 3.0 19.1 -178 -7.7 -12.6 44.3 25.0 59.1 -0.72 228.4 47.1
T. Mackey T. Mackey G 27 32.3 11.0 2.7 1.1 0.6 0.0 1.5 2.5 11.5 -185 -6.9 -10.6 41.8 44.4 83.3 -0.55 214.0 56.7
J. James J. James F 27 33.0 9.4 6.1 5.1 1.4 0.4 4.9 1.9 15.7 113 3.8 13.9 43.1 0.0 41.2 0.68 217.2 43.1
M. Hansberry M. Hansberry G 17 25.3 7.5 2.3 1.2 1.2 0.1 1.4 1.1 9.9 -129 -7.6 -12.5 50.0 16.7 100.0 -0.76 339.0 52.8
R.J. McCray R.J. McCray G 26 29.7 7.0 1.9 2.4 0.8 0.1 2.7 1.4 8.2 -219 -8.4 -13.7 41.7 23.1 50.0 -1.37 225.2 45.8
M. Brown M. Brown F 27 27.5 6.1 5.4 0.5 0.9 0.3 1.6 1.1 10.4 74 2.1 6.0 62.1 0 20.0 1.72 264.4 62.1
T. Lindsey T. Lindsey F 27 19.3 4.1 2.5 1.3 0.4 0.1 1.0 0.6 6.7 -177 -6.6 -12.9 25.0 12.5 42.9 -0.7 288.3 28.1
K. Koszuta K. Koszuta G 27 15.3 3.7 0.9 1.8 0.9 0.0 1.6 0.4 5.3 -75 -2.9 -7.5 16.7 16.7 0 0.11 420.8 20.8
I. Eke I. Eke F 9 7.0 1.4 1.4 0.1 0.2 0.2 0.2 0.1 3.1 -45 -5.6 -30.5 0.0 0 0 -0.55 650.0 0.0
T. Birchett T. Birchett G 8 4.5 0.8 0.4 0.0 0.1 0.0 0.2 0.0 1.0 -65 -9.3 -37.8 0 0 0 -0.69 0 0
C. Ponder C. Ponder F 1 1.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 -136 -4.5 -7.7 0.0 0 0 -0.88 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