Navy Midshipmen
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
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. More → | 1124 (#37) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.3 (#156) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More → | 0.929 (#34) | NetEff +26.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.549 (#144) | AdjNet +1.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.547 (#145) | AdjNet +1.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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.
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
- | 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
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Julien King
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 20 | 1.1 | 1.6 | - | - | - | -0.0 | - | - |
D. de Jongh
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
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
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Steven McLeod
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Jordan McConnell
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Luke Morgan
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
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