American University Eagles
2022 Team Stats (5 games)
58.4
PPG
53.8
Opp
+4.6
Margin
39.5%
FG%
25.3%
3P%
83.1%
FT%
36.8
RPG
14.2
APG
14.2
TO
75.6
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 → | 828 (#363) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 803 (#389) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +4.8 (#319) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.078 (#343) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-02-22 | vs | Lehigh Mountain Hawks | W | 64 - 45 |
| 2022-03-07 | vs | Lafayette Leopards | W | 54 - 48 |
| 2022-03-10 | vs | Boston University Terriers | W | 70 - 48 |
| 2022-03-13 | vs | Bucknell Bison | W | 65 - 54 |
| 2022-03-19 | @ | Michigan Wolverines | L | 39 - 74 |
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. Fisher
|
G | 5 | 34.2 | 12.2 | 5.6 | 3.8 | 1.2 | 0.4 | 3.6 | 9.0 | 10.6 | 32 | 1.6 | 9.3 | 48.9 | 23.1 | 82.4 | 1.0 | 58.1 | 52.2 |
J. Edwards
|
G | 5 | 33.4 | 11.2 | 5.8 | 3.2 | 0.0 | 1.0 | 2.4 | 8.8 | 10.0 | 99 | 4.5 | 31.1 | 45.5 | 18.2 | 93.3 | 1.25 | 55.3 | 47.7 |
E. Johns
|
F | 5 | 16.2 | 8.4 | 3.0 | 0.2 | 0.4 | 0.6 | 1.2 | 7.6 | 3.8 | - | - | - | 47.4 | 28.6 | 57.1 | 1.19 | 51.1 | 50.0 |
T. Brown
|
F | 5 | 32.8 | 8.2 | 3.8 | 3.2 | 2.0 | 0.4 | 1.8 | 7.8 | 8.0 | 55 | 3.4 | 17.1 | 41.0 | 15.4 | 87.5 | 1.04 | 48.2 | 43.6 |
I. Bales
|
G | 5 | 25.4 | 4.8 | 5.8 | 1.6 | 0.8 | 1.2 | 2.0 | 6.8 | 5.4 | - | - | - | 29.4 | 0.0 | 80.0 | 0.67 | 33.1 | 29.4 |
M. Doring
|
G | 5 | 13.2 | 4.4 | 1.0 | 0.4 | 0.0 | 0.0 | 0.4 | 3.4 | 2.0 | - | - | - | 41.2 | 46.2 | 100.0 | 0.59 | 61.5 | 58.8 |
L. Stack
|
F | 4 | 14.0 | 4.0 | 2.2 | 0.0 | 0.8 | 0.2 | 0.8 | 3.8 | 2.8 | - | - | - | 46.7 | 0.0 | 66.7 | 0.45 | 49.0 | 46.7 |
R. DeRubbo
|
G | 5 | 15.8 | 3.6 | 2.6 | 0.8 | 0.4 | 0.0 | 0.0 | 3.2 | 4.2 | 59 | 3.3 | 23.8 | 43.8 | 50.0 | 0 | 1.2 | 56.2 | 56.2 |
B. Garbee
|
G | 1 | 17.0 | 2.0 | 3.0 | 0.0 | 0.0 | 1.0 | 4.0 | 3.0 | -1.0 | - | - | - | 33.3 | 0.0 | 0 | 0.4 | 33.3 | 33.3 |
K. Henning
|
G | 4 | 8.5 | 1.8 | 1.8 | 0.5 | 0.0 | 0.0 | 0.0 | 4.8 | -0.8 | -66 | -3.5 | -23.5 | 10.5 | 33.3 | 100.0 | 0.17 | 17.6 | 13.2 |
K. Vres
|
F | 3 | 7.3 | 1.0 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 3.7 | -1.3 | 35 | 2.7 | 11.2 | 9.1 | 12.5 | 0 | 0.81 | 13.6 | 13.6 |
L. Graytok
|
G | 4 | 3.2 | 0.0 | 0.5 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 1.2 | - | - | - | 0 | 0 | 0 | 0.08 | 0 | 0 |
S. Stetson
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Meunier
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 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