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Monmouth Hawks

Also known as: Monmouth Hawks
Program History

2013 Team Stats (3 games)

58.3
PPG
72.6
Opp
-7.8
Margin
34.2%
FG%
20.4%
3P%
68.0%
FT%
33.3
RPG
11.7
APG
18.7
TO
89.3
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 → 1100 (#277) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1175 (#251) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 887 (#565) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +18.5 (#256) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -4.0 (#373) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -33.6 More → 0.012 (#299) NetEff -33.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.9 | AdjD 68.8 More → 0.327 (#565) AdjO 60.9 | AdjD 68.8
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 → 0.361 (#387) 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 → 0.340 (#421) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 170 | GP 31 More → 835 (#521) RD 170 | 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%
A. Nicholas A. Nicholas G 18 29.4 13.9 3.6 2.1 1.8 0.3 2.3 3.9 15.4 -69 -3.8 -5.4 36.6 30.0 77.8 0.2 167.4 43.0
J. Steele J. Steele G 31 31.5 12.2 2.0 3.6 1.8 0.0 2.5 2.6 14.5 -87 -4.8 -7.7 34.1 39.0 84.6 -0.14 214.9 43.9
E. Waite E. Waite F 31 19.6 8.4 4.8 0.8 1.2 0.2 1.9 1.5 12.0 -126 -4.1 -8.1 51.1 0 58.8 -0.62 239.5 51.1
D. Nesmith D. Nesmith G 31 26.8 8.1 2.3 2.2 1.3 0.1 1.5 1.7 10.8 -117 -3.8 -6.1 48.1 25.0 82.6 0.32 195.7 50.9
S. Spinella S. Spinella G 31 24.6 7.5 4.1 1.1 0.5 0.2 1.3 1.3 10.8 -157 -5.1 -8.7 46.2 27.3 80.0 -0.72 244.8 50.0
M. Ware M. Ware F 30 17.8 6.4 4.0 0.5 0.5 0.1 1.6 1.5 8.5 -54 -1.8 -4.1 27.3 0 45.0 0.01 180.9 27.3
K. Brown K. Brown F 24 15.9 3.9 1.8 0.4 0.3 0.4 1.2 0.9 4.7 242 7.1 12.5 40.9 0.0 50.0 1.11 188.7 40.9
C. White C. White G 27 11.6 3.6 0.9 1.0 0.6 0.0 0.7 0.6 4.8 243 6.9 10.2 29.4 20.0 50.0 1.68 246.9 35.3
T. O'Garro T. O'Garro F 31 15.8 2.5 3.8 0.5 0.5 0.1 0.9 0.4 6.1 -149 -4.8 -12.2 54.5 0 40.0 -0.98 287.9 54.5
G. Cox G. Cox F 29 8.1 2.4 0.8 0.0 0.1 0.1 1.0 0.8 1.7 -93 -3.2 -11.8 45.5 0.0 100.0 -0.38 137.6 45.5
M. DiLeo M. DiLeo G 30 10.8 2.1 1.4 0.6 0.8 0.2 0.4 0.5 4.2 -108 -3.6 -11.0 50.0 0.0 83.3 -0.47 189.3 50.0
J. Palm J. Palm G 30 7.2 1.5 0.5 0.5 0.4 0.0 0.7 0.5 1.7 -102 -3.4 -14.9 26.7 10.0 75.0 -0.7 137.2 30.0
C. Stewart C. Stewart G 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 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