Hofstra
Also known as: Hofstra
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 → | 1068 (#204) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1011 (#362) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.7 (#154) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#30) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.999 (#69) | NetEff +46.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.999 (#50) | AdjNet +56.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#42) | AdjNet +57.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.968 (#57) | AdjO 84.9 | AdjD 47.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.686 (#136) | AdjO 66.8 | AdjD 58.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.806 (#128) | 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 → | 0.780 (#138) | Blend of Elo, BT, Margin, PythLog, PtsOD |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ema Karim | - | 1 | 31.0 | 15.0 | 6.0 | 4.0 | 2.0 | 0.0 | 1.0 | 12.0 | 14.0 | - | - | - | 50.0 | 50.0 | 0 | - | 62.5 | 62.5 |
| Chloe Sterling | - | 1 | 25.3 | 11.0 | 6.0 | 0.0 | 1.0 | 0.0 | 1.0 | 6.0 | 11.0 | - | - | - | 66.7 | 50.0 | 100.0 | - | 85.4 | 83.3 |
| Emma Von Essen | - | 1 | 24.5 | 11.0 | 1.0 | 5.0 | 2.0 | 0.0 | 1.0 | 13.0 | 5.0 | - | - | - | 38.5 | 11.1 | 0 | - | 42.3 | 42.3 |
| Alarice Gooden | - | 1 | 26.9 | 10.0 | 6.0 | 1.0 | 1.0 | 0.0 | 2.0 | 10.0 | 6.0 | - | - | - | 30.0 | 50.0 | 100.0 | - | 46.0 | 40.0 |
| Deivejon Harris | - | 1 | 12.6 | 9.0 | 7.0 | 1.0 | 0.0 | 3.0 | 2.0 | 8.0 | 10.0 | - | - | - | 50.0 | 0 | 50.0 | - | 50.7 | 50.0 |
| Ayen Angoi | - | 1 | 10.5 | 8.0 | 4.0 | 2.0 | 1.0 | 1.0 | 2.0 | 5.0 | 9.0 | - | - | - | 60.0 | 0 | 100.0 | - | 68.0 | 60.0 |
| Kiyanna Blacks-Stewart | - | 1 | 10.2 | 6.0 | 2.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 | 0.0 | - | - | - | 50.0 | 0 | 0.0 | - | 43.6 | 50.0 |
| Maddie Pounds | - | 1 | 26.3 | 6.0 | 6.0 | 4.0 | 3.0 | 0.0 | 2.0 | 5.0 | 12.0 | - | - | - | 60.0 | 0.0 | 0 | - | 60.0 | 60.0 |
| Syniya Barton | - | 1 | 6.6 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 50.0 | 0 | 0 | -0.19 | 50.0 | 50.0 |
| Olivia VanPatten | - | 1 | 26.3 | 2.0 | 6.0 | 4.0 | 0.0 | 4.0 | 2.0 | 5.0 | 9.0 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
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