Fordham Rams
2025 Team Stats (2 games)
56.0
PPG
69.0
Opp
-13.0
Margin
27.8%
FG%
30.0%
3P%
57.5%
FT%
43.0
RPG
9.5
APG
15.5
TO
90.8
Pace
61.1
AdjO
63.6
AdjD
#182
Rank
Model Outputs
2024-2025
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 → | 994 (#173) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 977 (#181) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.1 (#187) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.458 (#175) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.458 (#175) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.381 (#188) | AdjNet -4.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.379 (#188) | AdjNet -4.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.444 (#182) | AdjO 61.1 | AdjD 63.6 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-21 | @ | California Golden Bears | L | 53 - 69 |
| 2025-02-04 | @ | George Washington Revolutionaries | L | 59 - 69 |
2025 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. Donaldson
|
G | 2 | 38.0 | 22.5 | 5.0 | 0.5 | 2.0 | 0.0 | 3.5 | 22.5 | 4.0 | -22 | -0.9 | -1.0 | 33.3 | 34.8 | 77.8 | 0.34 | 46.0 | 42.2 |
I. Murua Txintxurreta
|
F | 2 | 33.0 | 15.0 | 7.0 | 1.5 | 0.5 | 0.0 | 1.0 | 7.0 | 16.0 | - | - | - | 57.1 | 80.0 | 76.9 | - | 76.1 | 71.4 |
T. Davis
|
G | 1 | 34.0 | 8.0 | 3.0 | 5.0 | 2.0 | 0.0 | 6.0 | 11.0 | 1.0 | 1 | 0.1 | 3.3 | 27.3 | 0 | 50.0 | 0.6 | 31.3 | 27.3 |
C. Harris
|
G | 2 | 20.5 | 5.5 | 1.0 | 1.0 | 0.5 | 0.0 | 1.0 | 9.0 | -2.0 | 32 | 1.0 | 2.2 | 27.8 | 14.3 | 0 | 0.33 | 30.6 | 30.6 |
C. De Pool
|
G | 1 | 11.0 | 5.0 | 1.0 | 3.0 | 1.0 | 0.0 | 0.0 | 9.0 | 1.0 | -12 | -0.7 | -3.1 | 22.2 | 33.3 | 0 | -0.4 | 27.8 | 27.8 |
P. Omoshola
|
F | 1 | 7.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.0 | -10 | -0.4 | -2.4 | 100.0 | 0 | 0 | -0.33 | 100.0 | 100.0 |
E. Wilson-Saltos
|
F | 2 | 15.0 | 1.5 | 6.5 | 0.0 | 2.0 | 0.5 | 0.5 | 2.5 | 7.5 | -14 | -0.7 | -1.8 | 20.0 | 0 | 16.7 | -0.04 | 19.6 | 20.0 |
K. Berry
|
F | 2 | 15.5 | 1.5 | 4.0 | 0.5 | 1.5 | 0.0 | 0.5 | 5.0 | 2.0 | 43 | 1.4 | 1.9 | 10.0 | 20.0 | 0 | 0.79 | 15.0 | 15.0 |
K. Antoine
|
F | 2 | 15.0 | 1.5 | 5.0 | 0.0 | 1.0 | 0.0 | 0.5 | 2.0 | 5.0 | -16 | -0.6 | -1.9 | 25.0 | 0 | 50.0 | -0.07 | 30.7 | 25.0 |
A. Ferguson
|
G | 2 | 8.5 | 1.0 | 1.5 | 0.0 | 0.0 | 0.5 | 1.5 | 3.5 | -2.0 | -1 | -0.2 | -4.1 | 0.0 | 0.0 | 100.0 | -0.25 | 12.7 | 0.0 |
R. Nelson
|
F | 2 | 20.0 | 0.0 | 3.5 | 2.0 | 0.5 | 0.0 | 2.0 | 2.0 | 2.0 | 19 | 0.6 | 1.5 | 0.0 | 0.0 | 0.0 | 0.11 | 0.0 | 0.0 |
A. Veljovic
|
G | 2 | 8.5 | 0.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.5 | 2.5 | -1.5 | 2 | 0.1 | 0.2 | 0.0 | 0.0 | 0 | 0.3 | 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