SUNY Canton
Model Outputs
2025-2026
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 → | 1098 (#78) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1185 (#62) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1009 (#372) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.0 (#183) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +3.8 (#299) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.867 (#262) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.928 (#141) | NetEff +18.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.000 (#592) | NetEff -63.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.396 (#411) | AdjNet -3.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.375 (#418) | AdjNet -4.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.462 (#392) | AdjO 66.5 | AdjD 68.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.663 (#169) | AdjO 64.2 | AdjD 56.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.630 (#272) | 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 → | 0.634 (#270) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1026 (#277) | RD 153 | GP 6 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-23 | @ | Fredonia | W | 62 - 54 |
| 2026-01-24 | @ | Buffalo St. | W | 73 - 44 |
| 2026-01-27 | vs | SUNY Oneonta | W | 72 - 41 |
| 2026-01-30 | @ | SUNY Potsdam | W | 79 - 48 |
| 2026-01-31 | @ | Plattsburgh St. | L | 63 - 74 |
| 2026-02-06 | vs | Oswego St. | L | 58 - 65 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sierra Pabo | - | 6 | 32.2 | 14.2 | 6.8 | 5.2 | 1.3 | 0.2 | 2.3 | 13.8 | 11.5 | 241 | 12.1 | 39.9 | 36.1 | 28.6 | 79.2 | 4.6 | 45.4 | 39.8 |
| Kat McRobbie-Taru | - | 6 | 24.9 | 11.5 | 4.5 | 1.3 | 1.2 | 1.5 | 2.2 | 10.3 | 7.5 | 185 | 9.2 | 37.4 | 41.9 | 28.6 | 78.9 | 3.26 | 49.0 | 43.5 |
| Hope Aniceto | - | 6 | 22.5 | 11.2 | 2.2 | 0.8 | 0.5 | 0.2 | 1.3 | 8.8 | 4.7 | 170 | 8.5 | 35.0 | 41.5 | 42.2 | 57.1 | 1.87 | 59.7 | 59.4 |
| Kate Grainger | - | 6 | 24.8 | 6.8 | 7.5 | 1.0 | 1.2 | 0.0 | 0.8 | 8.0 | 7.7 | 144 | 8.5 | 41.7 | 29.2 | 23.8 | 61.5 | -1.19 | 38.2 | 34.4 |
| Chelsie Tyler | - | 6 | 8.2 | 4.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.7 | 3.5 | 0.3 | 80 | 4.2 | 34.6 | 33.3 | 23.1 | 77.8 | -0.43 | 48.1 | 40.5 |
| Emma Diehl | - | 6 | 15.1 | 3.8 | 3.5 | 0.5 | 0.8 | 0.2 | 1.2 | 3.5 | 4.2 | 84 | 4.2 | 27.2 | 23.8 | 20.0 | 85.7 | 2.76 | 42.3 | 26.2 |
| Abigail Rice | - | 6 | 15.6 | 3.8 | 2.5 | 1.3 | 0.5 | 0.5 | 0.7 | 2.7 | 5.3 | -34 | -0.8 | -6.7 | 62.5 | 0 | 75.0 | -0.71 | 64.8 | 62.5 |
| Alyvia Roberts | - | 6 | 8.2 | 3.2 | 2.3 | 0.2 | 0.2 | 0.2 | 0.3 | 2.5 | 3.2 | 20 | 1.1 | 13.4 | 46.7 | 0 | 45.5 | -1.34 | 47.9 | 46.7 |
| Grace Villnave | - | 6 | 8.2 | 2.7 | 2.7 | 0.0 | 0.2 | 0.0 | 0.7 | 1.3 | 3.5 | 46 | 2.4 | 33.7 | 62.5 | 0 | 75.0 | 1.51 | 69.4 | 62.5 |
| Natalie Bush | - | 6 | 11.2 | 2.2 | 2.2 | 0.2 | 0.7 | 0.0 | 0.7 | 4.0 | 0.5 | 88 | 4.4 | 35.6 | 16.7 | 21.4 | 50.0 | 2.41 | 25.2 | 22.9 |
| Marijke Kroon | - | 6 | 6.5 | 1.8 | 2.7 | 0.0 | 0.3 | 0.2 | 1.0 | 1.5 | 2.5 | 37 | 2.5 | 28.4 | 44.4 | 0 | 50.0 | -0.19 | 47.3 | 44.4 |
| Jayda Pina | - | 6 | 6.5 | 1.5 | 1.2 | 0.8 | 0.3 | 0.2 | 0.7 | 1.3 | 2.0 | 53 | 2.9 | 42.8 | 37.5 | 0 | 75.0 | -0.24 | 46.1 | 37.5 |
| Emma Perez | - | 6 | 8.2 | 0.7 | 1.0 | 1.2 | 0.7 | 0.0 | 1.3 | 1.5 | 0.7 | 50 | 2.6 | 20.2 | 22.2 | 0.0 | 0 | -1.71 | 22.2 | 22.2 |
| Sadey Sprabary | - | 6 | 5.6 | 0.3 | 1.5 | 0.0 | 0.3 | 0.0 | 0.2 | 0.2 | 1.8 | 28 | 1.5 | 16.8 | 100.0 | 0 | 0 | -3.66 | 100.0 | 100.0 |
| Emma Phippen | - | 3 | 2.1 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 4 | 0.4 | 15.9 | 0 | 0 | 25.0 | 0.06 | 28.4 | 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