🐻⬇️🏀

McNeese Cowboys

Also known as: McNeese Cowboys
Program History

2013 Team Stats (1 games)

63.0
PPG
70.1
Opp
-3.8
Margin
35.6%
FG%
17.6%
3P%
42.1%
FT%
37.0
RPG
12.0
APG
10.0
TO
91.4
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 → 1353 (#128) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1073 (#326) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 969 (#466) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +20.7 (#212) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -1.2 (#330) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -41.2 More → 0.007 (#308) NetEff -41.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.4 | AdjD 67.4 More → 0.409 (#502) AdjO 63.4 | AdjD 67.4
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 → 0.458 (#313) 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 (#316) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 131 | GP 31 More → 949 (#262) RD 131 | GP 31

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%
D. Guidry D. Guidry F 31 31.8 12.6 7.5 0.9 1.1 0.5 1.8 1.5 19.1 -98 -3.2 -4.6 50.0 50.0 53.8 -0.37 363.0 51.0
D. Cannon D. Cannon G 31 35.0 12.4 3.3 3.1 1.3 0.1 2.0 2.0 16.1 -91 -2.9 -3.9 45.2 28.6 87.0 -0.18 265.5 50.0
L. Eackles L. Eackles G 10 17.0 10.1 3.2 1.1 1.1 0.3 1.2 1.0 13.6 -26 -2.6 -5.8 40.0 25.0 83.3 -0.34 399.5 50.0
K. Hardy K. Hardy G 31 35.0 9.7 6.2 4.5 2.2 1.2 2.1 1.4 20.4 -106 -3.4 -4.4 41.9 57.1 41.7 -0.33 312.8 46.5
C. McFerrin C. McFerrin F 24 26.6 8.7 6.5 0.7 0.2 1.3 2.5 1.0 13.9 -51 -2.1 -3.7 48.0 0 50.0 -0.13 401.9 48.0
J. Mitchell J. Mitchell G 31 27.0 8.5 2.0 1.5 1.3 0.1 1.4 1.2 10.8 123 4.0 8.1 50.0 50.0 25.0 0.25 333.2 61.8
A. Fields A. Fields F 31 16.9 5.2 2.1 0.6 0.5 0.3 0.8 1.0 6.9 -24 -0.8 -1.5 36.7 16.7 66.7 0.26 258.6 38.3
K. Garrett K. Garrett G 14 8.4 3.0 0.5 0.3 0.2 0.0 0.6 0.4 3.1 -10 -0.7 -2.7 20.0 0.0 100.0 -0.19 310.7 20.0
A. Lewis A. Lewis F 27 13.3 2.8 3.0 0.1 0.3 1.4 0.4 0.1 7.0 -76 -2.8 -8.2 50.0 0 0.0 -0.05 651.0 50.0
B. Regis B. Regis G 25 4.8 1.5 0.6 0.1 0.3 0.0 0.2 0.5 1.8 -32 -1.3 -6.4 30.8 25.0 0 -0.48 142.3 34.6
S. Johnson S. Johnson G 19 4.7 1.3 0.3 0.2 0.2 0.0 0.3 0.3 1.5 6 0.5 1.5 20.0 0.0 100.0 0.11 204.1 20.0
P. Kpan P. Kpan F 28 5.5 1.2 1.3 0.1 0.1 0.1 0.2 0.2 2.4 -11 -0.4 -1.9 16.7 0 80.0 0.09 213.4 16.7
J. Wells J. Wells F 28 6.5 1.1 0.8 0.2 0.1 0.2 0.3 0.3 1.8 -24 -1.3 -5.4 62.5 50.0 0 -0.14 193.8 68.8
J. Jagneaux J. Jagneaux - 3 3.0 0.0 0.0 0.7 0.3 0.0 0.0 0.0 1.0 - - - 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