Binghamton
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 → | 1098 (#150) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1017 (#314) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +40.8 (#44) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#86) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 1.000 (#34) | NetEff +70.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 1.000 (#19) | AdjNet +68.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 1.000 (#30) | AdjNet +68.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.974 (#40) | AdjO 81.5 | AdjD 41.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.695 (#131) | AdjO 65.6 | AdjD 56.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.966 (#19) | 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 → | 0.945 (#25) | Blend of Elo, BT, Margin, PythLog, PtsOD |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-03 | vs | SUNY Geneseo | W | 86 - 35 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kendall Bennett | - | 1 | 22.3 | 16.0 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 9.0 | 15.0 | - | - | - | 55.6 | 0 | 85.7 | - | 66.2 | 55.6 |
| Meghan Casey | - | 1 | 20.1 | 13.0 | 1.0 | 4.0 | 2.0 | 0.0 | 0.0 | 7.0 | 13.0 | - | - | - | 71.4 | 60.0 | 0 | - | 92.9 | 92.9 |
| Bella Pucci | - | 1 | 21.2 | 12.0 | 3.0 | 1.0 | 3.0 | 0.0 | 0.0 | 9.0 | 10.0 | - | - | - | 55.6 | 25.0 | 50.0 | - | 60.7 | 61.1 |
| Leah Middleton | - | 1 | 23.1 | 12.0 | 3.0 | 2.0 | 3.0 | 0.0 | 0.0 | 12.0 | 8.0 | - | - | - | 41.7 | 28.6 | 0 | - | 50.0 | 50.0 |
| Yanniah Boyd | - | 1 | 20.1 | 10.0 | 5.0 | 2.0 | 2.0 | 0.0 | 3.0 | 9.0 | 7.0 | - | - | - | 44.4 | 40.0 | 0 | - | 55.6 | 55.6 |
| Kaia Goode | - | 1 | 22.5 | 10.0 | 1.0 | 5.0 | 6.0 | 0.0 | 1.0 | 11.0 | 10.0 | - | - | - | 36.4 | 0.0 | 66.7 | - | 40.6 | 36.4 |
| Klarissa Goode | - | 1 | 13.9 | 7.0 | 2.0 | 2.0 | 3.0 | 0.0 | 0.0 | 5.0 | 9.0 | - | - | - | 60.0 | 50.0 | 0.0 | - | 64.3 | 70.0 |
| Ashley Redd | - | 1 | 16.0 | 3.0 | 1.0 | 0.0 | 2.0 | 0.0 | 1.0 | 5.0 | 0.0 | - | - | - | 20.0 | 33.3 | 0 | - | 30.0 | 30.0 |
| Daysha Salgado | - | 1 | 17.5 | 3.0 | 5.0 | 1.0 | 1.0 | 0.0 | 1.0 | 2.0 | 7.0 | - | - | - | 50.0 | 0 | 50.0 | - | 52.1 | 50.0 |
| Carletta Bennett | - | 1 | 17.5 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 1.0 | 3.0 | -1.0 | 12 | 1.7 | 53.6 | 0.0 | 0.0 | 0 | 1.29 | 0.0 | 0.0 |
| Leah Fowler | - | 1 | 5.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 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