Navy Midshipmen
2022 Team Stats (2 games)
47.0
PPG
56.5
Opp
-9.5
Margin
31.6%
FG%
28.1%
3P%
61.1%
FT%
32.0
RPG
6.5
APG
14.5
TO
77.0
Pace
Model Outputs
2021-2022
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 → | 978 (#250) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 986 (#249) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.5 (#175) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.914 (#28) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-03-07 | @ | Holy Cross Crusaders | W | 50 - 49 |
| 2022-03-10 | @ | Bucknell Bison | L | 44 - 64 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Coleman
|
G | 2 | 39.5 | 27.0 | 10.5 | 2.5 | 3.0 | 0.0 | 4.5 | 28.0 | 10.5 | - | - | - | 37.5 | 35.3 | 60.0 | 1.51 | 44.7 | 42.9 |
S. Watts
|
G | 2 | 31.5 | 7.5 | 2.0 | 1.0 | 0.5 | 0.5 | 0.5 | 11.0 | 0.0 | -113 | -5.1 | -32.3 | 27.3 | 25.0 | 50.0 | 0.03 | 32.8 | 31.8 |
D. Langford
|
G | 2 | 11.0 | 3.0 | 0.5 | 0.0 | 2.0 | 1.0 | 0.5 | 1.5 | 4.5 | - | - | - | 66.7 | 0 | 100.0 | 0.51 | 77.3 | 66.7 |
M. Schrader
|
G | 2 | 24.0 | 3.0 | 1.0 | 1.0 | 1.0 | 0.0 | 2.0 | 3.5 | 0.5 | - | - | - | 42.9 | 0.0 | 0 | 0.33 | 42.9 | 42.9 |
L. Llewellyn
|
F | 2 | 35.5 | 2.5 | 4.0 | 0.5 | 1.5 | 0.5 | 2.5 | 5.0 | 1.5 | - | - | - | 10.0 | 33.3 | 100.0 | 0.31 | 23.0 | 15.0 |
C. Hertelendy
|
F | 2 | 21.5 | 2.0 | 4.0 | 1.5 | 0.0 | 0.5 | 1.5 | 4.0 | 2.5 | - | - | - | 25.0 | 0 | 0.0 | 0.29 | 22.5 | 25.0 |
K. Donza
|
G | 1 | 19.0 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | -46 | -2.0 | -11.0 | 33.3 | 0.0 | 0 | 0.3 | 33.3 | 33.3 |
M. Andrews
|
F | 2 | 20.5 | 1.0 | 3.5 | 0.0 | 1.0 | 0.0 | 2.0 | 3.5 | 0.0 | -20 | -0.8 | -6.7 | 14.3 | 0 | 0 | 0.49 | 14.3 | 14.3 |
S. Schofield
|
G | 1 | 11.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 22 | 4.4 | 36.6 | 0.0 | 0 | 0 | -0.02 | 0.0 | 0.0 |
S. Lewis
|
F | 1 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -5 | -0.2 | -0.9 | 0 | 0 | 0 | 1.1 | 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