Navy Midshipmen
2023 Team Stats (1 games)
50.0
PPG
87.0
Opp
-37.0
Margin
32.3%
FG%
14.3%
3P%
58.3%
FT%
40.0
RPG
13.0
APG
22.0
TO
89.3
Pace
Model Outputs
2022-2023
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 → | 980 (#244) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 985 (#252) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.5 (#176) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.914 (#28) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | vs | Northern Illinois Huskies | L | 50 - 87 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Watts
|
G | 1 | 24.0 | 11.0 | 4.0 | 0.0 | 0.0 | 1.0 | 2.0 | 11.0 | 3.0 | - | - | - | 36.4 | 20.0 | 100.0 | - | 46.3 | 40.9 |
K. Samson
|
C | 1 | 21.0 | 11.0 | 3.0 | 0.0 | 0.0 | 0.0 | 3.0 | 10.0 | 1.0 | - | - | - | 30.0 | 0 | 100.0 | - | 45.1 | 30.0 |
M. Louridas
|
G | 1 | 32.0 | 8.0 | 4.0 | 3.0 | 1.0 | 1.0 | 3.0 | 16.0 | -2.0 | - | - | - | 18.8 | 25.0 | 0 | - | 25.0 | 25.0 |
S. Lewis
|
F | 1 | 18.0 | 4.0 | 4.0 | 0.0 | 1.0 | 0.0 | 2.0 | 2.0 | 5.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
S. Clarke
|
G | 1 | 16.0 | 4.0 | 4.0 | 3.0 | 0.0 | 0.0 | 1.0 | 8.0 | 2.0 | - | - | - | 25.0 | 0.0 | 0.0 | - | 22.5 | 25.0 |
M. Schrader
|
G | 1 | 31.0 | 2.0 | 3.0 | 4.0 | 1.0 | 0.0 | 2.0 | 3.0 | 5.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
S. Schofield
|
G | 1 | 11.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
M. Andrews
|
F | 1 | 17.0 | 2.0 | 5.0 | 2.0 | 0.0 | 2.0 | 3.0 | 4.0 | 4.0 | - | - | - | 25.0 | 0 | 0 | - | 25.0 | 25.0 |
K. Giuliani
|
G | 1 | 6.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 0.0 | - | - | - | 100.0 | 0 | 0.0 | - | 69.4 | 100.0 |
G. Pissott
|
F | 1 | 15.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | -1.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
M. Demos
|
F | 1 | 9.0 | 2.0 | 2.0 | 1.0 | 1.0 | 1.0 | 2.0 | 2.0 | 3.0 | - | - | - | 50.0 | 0 | 0.0 | - | 34.7 | 50.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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