Wagner Seahawks
2022 Team Stats (3 games)
65.0
PPG
61.3
Opp
+3.7
Margin
39.9%
FG%
33.3%
3P%
79.6%
FT%
33.3
RPG
15.3
APG
13.3
TO
78.9
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 → | 913 (#318) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 916 (#334) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.6 (#346) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.452 (#201) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-03-03 | @ | Merrimack Warriors | W | 79 - 67 |
| 2022-03-07 | vs | Long Island University Sharks | W | 66 - 55 |
| 2022-03-10 | @ | Mount St. Mary's Mountaineers | L | 50 - 62 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Krista Grava
|
F | 3 | 31.0 | 15.0 | 6.7 | 0.7 | 0.7 | 0.7 | 0.7 | 10.7 | 12.3 | - | - | - | 53.1 | 50.0 | 90.0 | 0.15 | 61.8 | 56.2 |
Z. Thybulle
|
G | 3 | 39.0 | 13.0 | 3.7 | 6.3 | 1.3 | 0.0 | 2.0 | 14.0 | 8.3 | - | - | - | 33.3 | 46.2 | 62.5 | 0.67 | 42.8 | 40.5 |
A. Cowan
|
G | 3 | 30.0 | 11.7 | 3.7 | 2.0 | 1.0 | 0.0 | 2.0 | 6.3 | 10.0 | -16 | -0.9 | -9.1 | 42.1 | 50.0 | 88.2 | 1.14 | 66.1 | 52.6 |
D. Heyward
|
G | 3 | 24.7 | 7.0 | 3.7 | 4.7 | 2.7 | 0.3 | 3.0 | 6.3 | 9.0 | - | - | - | 36.8 | 0.0 | 100.0 | 0.35 | 47.6 | 36.8 |
K. Nwabudu
|
F | 3 | 24.0 | 6.7 | 6.3 | 1.0 | 1.0 | 0.0 | 1.7 | 9.0 | 4.3 | - | - | - | 33.3 | 0 | 33.3 | -0.13 | 33.7 | 33.3 |
L. Loceniece
|
G | 3 | 18.3 | 4.7 | 2.0 | 0.3 | 0.3 | 0.3 | 1.0 | 5.7 | 1.0 | - | - | - | 29.4 | 18.2 | 100.0 | 0.97 | 39.1 | 35.3 |
K. Jackson
|
F | 3 | 18.7 | 3.7 | 3.3 | 0.0 | 0.7 | 2.0 | 1.3 | 3.3 | 5.0 | -115 | -6.4 | -52.6 | 50.0 | 0 | 50.0 | 1.41 | 50.6 | 50.0 |
M. Sanchez-Henry
|
G | 3 | 8.3 | 2.7 | 1.0 | 0.0 | 1.0 | 0.3 | 0.7 | 1.7 | 2.7 | - | - | - | 60.0 | 0.0 | 100.0 | 1.0 | 68.0 | 60.0 |
R. Pitt
|
G | 3 | 6.0 | 0.7 | 0.0 | 0.3 | 0.3 | 0.0 | 0.3 | 0.7 | 0.3 | - | - | - | 50.0 | 0 | 0 | 0.6 | 50.0 | 50.0 |
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