Navy Midshipmen
2018 Team Stats (4 games)
62.5
PPG
55.6
Opp
+9.6
Margin
38.7%
FG%
25.0%
3P%
64.7%
FT%
34.5
RPG
13.0
APG
10.3
TO
79.1
Pace
Model Outputs
2017-2018
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 → | 921 (#402) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 967 (#313) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.2 (#237) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.534 (#199) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-01-08 | vs | Colgate Raiders | W | 70 - 54 |
| 2018-02-28 | vs | American University Eagles | W | 76 - 49 |
| 2018-03-05 | vs | Loyola Maryland Greyhounds | W | 63 - 55 |
| 2018-03-08 | @ | Bucknell Bison | W | 68 - 62 |
| 2018-03-11 | @ | American University Eagles | L | 49 - 58 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Dunham
|
G | 4 | 33.0 | 14.8 | 3.5 | 3.2 | 1.2 | 0.0 | 1.5 | 13.5 | 7.8 | - | - | - | 38.9 | 32.4 | 42.9 | - | 49.0 | 49.1 |
H. Fenske
|
G | 4 | 32.8 | 12.8 | 4.0 | 3.0 | 4.2 | 0.5 | 2.2 | 13.0 | 9.2 | - | - | - | 34.6 | 31.8 | 66.7 | - | 44.5 | 41.3 |
K. Clark
|
F | 4 | 28.8 | 8.8 | 7.8 | 1.5 | 1.5 | 2.0 | 1.2 | 9.8 | 10.5 | - | - | - | 38.5 | 0.0 | 83.3 | - | 42.0 | 38.5 |
M. Ulasewicz
|
G | 1 | 12.0 | 8.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 5.0 | - | - | - | 80.0 | 0.0 | 0 | - | 80.0 | 80.0 |
B. Roach
|
G | 4 | 34.5 | 7.8 | 2.0 | 3.0 | 1.2 | 0.5 | 2.2 | 6.8 | 5.5 | - | - | - | 40.7 | 16.7 | 72.7 | - | 48.7 | 42.6 |
L. Jaunich
|
F | 4 | 29.8 | 7.5 | 3.0 | 0.8 | 0.8 | 0.5 | 1.0 | 7.2 | 4.2 | - | - | - | 51.7 | 0.0 | 0 | - | 51.7 | 51.7 |
M. Taylor
|
G | 4 | 19.2 | 7.0 | 5.0 | 1.0 | 1.8 | 0.0 | 0.8 | 7.2 | 6.8 | - | - | - | 37.9 | 20.0 | 66.7 | - | 44.2 | 41.4 |
S. Gatzounas
|
G | 3 | 8.0 | 1.3 | 1.7 | 0.7 | 0.0 | 0.3 | 0.3 | 1.0 | 2.7 | - | - | - | 33.3 | 0 | 100.0 | - | 51.5 | 33.3 |
J. Bishop
|
G | 4 | 6.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.5 | 0.2 | 1.5 | 0.8 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
M. Sanders
|
G | 2 | 7.0 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 3.5 | -2.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
C. Hannibal
|
G | 2 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
S. Swanda
|
F | 1 | 10.0 | 0.0 | 3.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 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