Fordham
Also known as: Fordham
Program History
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1051 (#167) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1008 (#237) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.5 (#319) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.959 (#97) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.760 (#260) | AdjNet +10.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.765 (#262) | AdjNet +10.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.678 (#254) | AdjO 81.0 | AdjD 72.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.502 (#293) | AdjO 74.3 | AdjD 74.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.520 (#301) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.516 (#299) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1058 (#171) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-28 | @ | Franklin Pierce | W | 74 - 72 |
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DeJour Reaves | - | 1 | 28.9 | 22.0 | 5.0 | 6.0 | 1.0 | 0.0 | 4.0 | 16.0 | 14.0 | - | - | - | 56.2 | 60.0 | 50.0 | - | 65.2 | 65.6 |
| Roor Akhuar | - | 1 | 20.0 | 10.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 5.0 | 7.0 | - | - | - | 80.0 | 100.0 | 0 | - | 100.0 | 100.0 |
| Marcus Greene | - | 1 | 24.6 | 10.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0.0 | 7.0 | 7.0 | - | - | - | 57.1 | 50.0 | 0 | - | 71.4 | 71.4 |
| Rikus Schulte | - | 1 | 30.3 | 10.0 | 11.0 | 2.0 | 3.0 | 1.0 | 2.0 | 9.0 | 16.0 | - | - | - | 44.4 | 0 | 100.0 | - | 50.6 | 44.4 |
| Christian Henry | - | 1 | 23.3 | 8.0 | 4.0 | 5.0 | 1.0 | 0.0 | 0.0 | 9.0 | 9.0 | - | - | - | 33.3 | 0.0 | 40.0 | - | 35.7 | 33.3 |
| Kingston Price | - | 1 | 11.3 | 6.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 4.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
| Abass Bodija | - | 1 | 21.6 | 4.0 | 3.0 | 1.0 | 0.0 | 2.0 | 2.0 | 3.0 | 5.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
| Akira Jacobs | - | 1 | 19.7 | 3.0 | 5.0 | 1.0 | 2.0 | 0.0 | 0.0 | 6.0 | 5.0 | - | - | - | 16.7 | 0.0 | 50.0 | - | 21.8 | 16.7 |
| Louis Lesmond | - | 1 | 20.3 | 1.0 | 1.0 | 2.0 | 0.0 | 0.0 | 4.0 | 8.0 | -8.0 | - | - | - | 0.0 | 0.0 | 20.0 | - | 4.9 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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