🐻⬇️🏀

Navy Midshipmen

Also known as: Navy Midshipmen
Program History

2026 Team Stats (32 games)

74.8
PPG
64.1
Opp
+10.7
Margin
47.9%
FG%
35.7%
3P%
73.1%
FT%
35.9
RPG
16.4
APG
11.2
TO
75.4
Pace
70.9
AdjO
70.5
AdjD
#155
Rank

Model Outputs

2025-2026
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 → 1168 (#59) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1053 (#126) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 1124 (#37) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → +0.3 (#156) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +14.9 (#155) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.801 (#27) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +26.0 More → 0.929 (#34) NetEff +26.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.7 More → 0.549 (#144) AdjNet +1.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.6 More → 0.547 (#145) AdjNet +1.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.9 | AdjD 70.5 More → 0.508 (#155) AdjO 70.9 | AdjD 70.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.9 | AdjD 65.5 More → 0.662 (#61) AdjO 72.9 | AdjD 65.5
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 → 0.822 (#103) 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 → 0.802 (#93) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 124 | GP 32 More → 1158 (#86) RD 124 | GP 32

2026 Schedule & Results

2026 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. Benigni A. Benigni - 32 35.6 17.3 3.2 4.4 1.2 0.2 2.8 12.5 11.2 170 6.8 12.6 42.4 43.3 88.5 0.39 57.5 48.9
A. Kehoe A. Kehoe - 32 33.0 15.2 10.4 2.3 1.2 1.2 1.7 8.7 19.9 63 2.6 5.5 73.7 0 47.5 0.57 69.7 73.7
J. Kim J. Kim - 32 30.0 9.8 3.0 1.7 0.6 0.1 0.9 8.0 6.5 152 6.6 11.2 40.0 40.9 82.6 0.65 55.2 50.6
D. Draper D. Draper - 30 26.7 8.9 6.6 2.7 2.2 0.5 1.8 6.9 12.2 130 5.7 13.1 46.6 12.2 78.4 0.58 54.3 47.8
J. Pennick J. Pennick - 32 24.8 7.6 2.1 1.5 0.7 0.2 1.2 6.7 4.2 14 0.6 1.8 36.6 31.7 73.7 -0.94 50.8 46.9
M. Woods M. Woods - 32 22.4 6.8 4.3 1.7 0.7 0.3 0.9 5.5 7.5 115 5.0 10.6 47.4 29.5 78.4 0.3 55.5 51.1
C. Cole C. Cole - 32 18.8 6.1 1.9 1.6 0.9 0.4 1.0 4.3 5.7 160 7.3 21.7 43.2 38.2 76.4 1.12 60.0 55.4
D. Burnett D. Burnett - 19 6.2 1.6 1.1 0.4 0.3 0.1 0.3 1.2 2.0 10 0.7 5.5 52.2 25.0 45.5 -0.26 53.9 54.3
N. Howard N. Howard - 11 3.5 1.5 0.9 0.6 0.2 0.0 0.3 0.9 2.0 43 4.3 69.2 50.0 0.0 75.0 0.28 59.2 50.0
S. Krist S. Krist - 16 3.3 1.1 0.4 0.1 0.1 0.1 0.2 0.9 0.6 31 2.8 62.2 50.0 40.0 0 0.09 64.3 64.3
J. Gabbidon J. Gabbidon - 7 1.6 1.1 0.4 0.0 0.0 0.0 0.0 0.7 0.9 -2 -0.5 -25.5 60.0 0 100.0 0.04 68.0 60.0
Jerry Ashley Jr. Jerry Ashley Jr. - 9 3.4 1.1 1.3 0.0 0.1 0.2 0.2 0.7 1.9 18 2.6 57.4 66.7 0 50.0 0.2 64.4 66.7
C. Cormany C. Cormany - 15 2.5 1.0 0.3 0.1 0.1 0.0 0.2 0.7 0.5 13 1.3 34.7 45.5 44.4 100.0 0.07 65.6 63.6
C. Jackson C. Jackson - 16 2.9 1.0 0.5 0.1 0.1 0.0 0.1 0.5 1.0 0 0.0 0.0 62.5 0.0 60.0 -0.35 64.5 62.5
O. Gray O. Gray - 4 2.0 0.5 0.2 0.0 0.0 0.0 0.0 0.0 0.8 1 0.3 20.2 0 0 100.0 -0.02 113.6 0
Matt Gaffney Matt Gaffney - 4 2.0 0.5 0.5 0.2 0.0 0.0 0.2 0.2 0.8 -7 -2.3 -193.1 0.0 0 100.0 -0.02 53.2 0.0
Reiss Whitaker Reiss Whitaker F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Julien King Julien King G 0 - 0.0 0.0 0.0 - - - - - 20 1.1 1.6 - - - -0.0 - -
D. de Jongh D. de Jongh G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Tobi Raji Tobi Raji F 1 2.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Colin Pollock Colin Pollock F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Steven McLeod Steven McLeod G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Jordan McConnell Jordan McConnell C 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
Luke Morgan Luke Morgan F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - -
C.J. Kearns C.J. Kearns F 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