Fordham Rams
2019 Team Stats (7 games)
59.6
PPG
57.0
Opp
+2.6
Margin
40.6%
FG%
35.8%
3P%
74.7%
FT%
30.0
RPG
12.7
APG
11.6
TO
68.0
Pace
Model Outputs
2018-2019
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 → | 915 (#394) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1181 (#112) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.1 (#106) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.720 (#114) | - |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-25 | vs | Texas Longhorns | L | 54 - 72 |
| 2018-12-11 | vs | Columbia Lions | W | 68 - 49 |
| 2019-02-06 | vs | Saint Louis Billikens | W | 54 - 51 |
| 2019-02-27 | vs | Dayton Flyers | W | 57 - 48 |
| 2019-03-08 | vs | Massachusetts Minutewomen | W | 73 - 62 |
| 2019-03-10 | @ | VCU Rams | W | 62 - 47 |
| 2019-03-23 | @ | Syracuse Orange | L | 49 - 70 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Cavanaugh
|
G | 7 | 38.6 | 16.9 | 4.9 | 2.7 | 1.1 | 0.1 | 1.7 | 13.7 | 10.3 | - | - | - | 39.6 | 31.0 | 78.4 | 0.88 | 52.5 | 46.4 |
M. Goulding
|
F | 7 | 34.1 | 15.7 | 8.0 | 2.3 | 1.1 | 0.4 | 1.1 | 10.9 | 15.6 | - | - | - | 51.3 | 58.3 | 75.0 | 1.45 | 63.5 | 60.5 |
K. Heremaia
|
G | 7 | 32.4 | 9.9 | 5.1 | 1.9 | 1.0 | 0.4 | 3.0 | 9.1 | 6.1 | - | - | - | 39.1 | 38.9 | 83.3 | 0.86 | 51.8 | 50.0 |
K. Downey
|
F | 7 | 24.9 | 7.1 | 3.7 | 1.6 | 0.9 | 0.1 | 1.0 | 6.3 | 6.1 | - | - | - | 40.9 | 38.5 | 100.0 | 0.69 | 54.6 | 52.3 |
L. Holden
|
G | 7 | 38.0 | 6.7 | 2.3 | 2.1 | 0.3 | 0.0 | 2.0 | 7.7 | 1.7 | - | - | - | 27.8 | 26.3 | 87.5 | 1.85 | 40.9 | 37.0 |
Z. Jillings
|
G | 7 | 19.0 | 1.9 | 2.4 | 2.0 | 0.1 | 0.0 | 1.1 | 2.1 | 3.1 | - | - | - | 40.0 | 16.7 | 0.0 | 1.45 | 40.9 | 43.3 |
M. Jonassen
|
F | 6 | 7.5 | 1.0 | 1.2 | 0.0 | 0.2 | 0.0 | 0.3 | 0.7 | 1.3 | - | - | - | 75.0 | 0 | 0.0 | 1.45 | 61.5 | 75.0 |
K. McLoughlin
|
G | 3 | 2.7 | 0.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 1.0 | - | - | - | 100.0 | 0 | 0.0 | 0.2 | 69.4 | 100.0 |
C. Polisano
|
G | 3 | 2.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | - | - | - | 0 | 0 | 66.7 | 0.08 | 75.8 | 0 |
A. Giuliano
|
G | 3 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | -0.7 | - | - | - | 0.0 | 0.0 | 0 | -0.0 | 0.0 | 0.0 |
V. Tavui
|
C | 3 | 3.7 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | -0.7 | - | - | - | 0.0 | 0 | 0 | -0.42 | 0.0 | 0.0 |
R. Kwiatkowski
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
L. Murphy
|
G | 2 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | -1.39 | 0 | 0 |
H. Gillis
|
C | 2 | 4.0 | 0.0 | 1.0 | 0.5 | 0.0 | 0.0 | 1.5 | 0.0 | 0.0 | -27 | -9.0 | -696.8 | 0 | 0 | 0 | -1.23 | 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