Fordham Rams
2022 Team Stats (3 games)
58.0
PPG
61.3
Opp
-3.3
Margin
38.3%
FG%
33.8%
3P%
69.7%
FT%
35.7
RPG
13.3
APG
16.7
TO
77.2
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 → | 882 (#337) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 957 (#279) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +15.3 (#216) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.274 (#255) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-25 | @ | Baylor Bears | L | 45 - 68 |
| 2022-03-03 | vs | George Mason Patriots | W | 66 - 50 |
| 2022-03-04 | @ | Massachusetts Minutewomen | L | 63 - 66 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Dingle
|
G | 3 | 36.7 | 14.7 | 7.3 | 2.0 | 1.3 | 0.0 | 4.7 | 12.3 | 8.3 | - | - | - | 40.5 | 50.0 | 66.7 | 0.57 | 50.5 | 45.9 |
K. Heremaia
|
G | 3 | 28.7 | 14.0 | 4.3 | 2.3 | 0.3 | 0.3 | 2.7 | 10.7 | 8.0 | - | - | - | 43.8 | 36.8 | 77.8 | 0.39 | 58.4 | 54.7 |
K. Downey
|
F | 3 | 34.0 | 13.0 | 5.3 | 3.0 | 1.0 | 1.7 | 1.3 | 10.0 | 12.7 | - | - | - | 50.0 | 38.1 | 100.0 | 1.0 | 64.1 | 63.3 |
A. DeWolfe
|
G | 3 | 38.7 | 10.0 | 4.3 | 2.3 | 1.3 | 0.0 | 4.3 | 16.3 | -2.7 | 47 | 3.6 | 15.4 | 26.5 | 17.6 | 50.0 | 1.21 | 30.1 | 29.6 |
M. Jonassen
|
F | 3 | 26.7 | 3.3 | 5.7 | 0.7 | 0.3 | 0.3 | 1.0 | 2.3 | 7.0 | - | - | - | 42.9 | 0 | 66.7 | 0.55 | 51.9 | 42.9 |
C. Polisano
|
G | 1 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 100.0 | 100.0 | 0 | -1.6 | 150.0 | 150.0 |
M. Flood
|
G | 2 | 7.5 | 2.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 3.5 | 0.0 | 23 | 1.3 | 6.0 | 28.6 | 0.0 | 0 | 0.87 | 28.6 | 28.6 |
M. Prior
|
F | 3 | 9.0 | 0.7 | 1.3 | 1.7 | 0.3 | 0.3 | 0.3 | 0.7 | 3.3 | -22 | -1.2 | -6.4 | 50.0 | 0 | 0 | 0.56 | 50.0 | 50.0 |
V. Tavui
|
C | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
E. Thaqi
|
G | 1 | 2.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | -1.14 | 0 | 0 |
S. Karpell
|
G | 3 | 16.3 | 0.0 | 2.7 | 0.7 | 0.3 | 0.0 | 1.3 | 0.0 | 2.3 | -20 | -0.9 | -3.8 | 0 | 0 | 0 | 0.92 | 0 | 0 |
M. Nyborg
|
F | 1 | 9.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -3.0 | -38 | -2.1 | -10.5 | 0.0 | 0 | 0 | 0.16 | 0.0 | 0.0 |
C. McQuillen
|
G | 1 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | -0.1 | 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