SUNY Cobleskill
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 → | 979 (#281) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 943 (#407) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1014 (#336) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -16.2 (#332) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -11.9 (#517) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.981 (#164) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.683 (#285) | NetEff +5.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.622 (#336) | AdjNet +4.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.625 (#334) | AdjNet +4.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.552 (#329) | AdjO 64.9 | AdjD 62.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.490 (#404) | AdjO 56.2 | AdjD 56.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.368 (#484) | 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 → | 0.399 (#456) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1007 (#296) | RD 96 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-09 | vs | Elmira | W | 60 - 58 |
| 2025-11-18 | vs | Alfred St. | W | 49 - 40 |
| 2025-11-21 | @ | Me.-Farmington | L | 54 - 75 |
| 2025-11-22 | @ | Maine Maritime | L | 40 - 65 |
| 2025-12-01 | @ | Russell Sage | L | 68 - 71 |
| 2025-12-12 | vs | SUNY Delhi | W | 72 - 42 |
| 2025-12-15 | vs | SUNY Oneonta | L | 61 - 65 |
| 2026-01-10 | vs | Lesley | W | 76 - 28 |
| 2026-01-11 | vs | Thomas (ME) | L | 58 - 62 |
| 2026-01-16 | vs | Maine Maritime | L | 39 - 58 |
| 2026-01-17 | vs | Me.-Farmington | L | 49 - 65 |
| 2026-01-21 | @ | WestConn | L | 61 - 64 |
| 2026-01-24 | @ | SUNY Delhi | W | 71 - 37 |
| 2026-01-30 | @ | VTSU-Johnson | W | 67 - 37 |
| 2026-01-31 | @ | VTSU Lyndon | W | 69 - 59 |
| 2026-02-03 | @ | VTSU Castleton | W | 60 - 57 |
| 2026-02-06 | vs | Husson | W | 62 - 47 |
| 2026-02-07 | vs | Me.-Presque Isle | W | 80 - 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hannah Bonczkowski | - | 18 | 19.5 | 11.3 | 2.6 | 0.7 | 1.1 | 0.1 | 1.7 | 11.4 | 2.7 | 114 | 5.4 | 37.0 | 35.6 | 27.5 | 70.6 | 4.09 | 46.1 | 43.7 |
| Kyara Triblet | - | 11 | 23.0 | 10.0 | 4.6 | 1.1 | 0.8 | 0.6 | 1.6 | 7.9 | 7.6 | 56 | 4.3 | 17.3 | 47.1 | 16.7 | 60.0 | 0.58 | 51.5 | 47.7 |
| Jaiyla Colon | - | 16 | 24.4 | 9.5 | 6.2 | 2.8 | 1.6 | 0.5 | 2.2 | 9.6 | 8.7 | 30 | 1.6 | 7.1 | 34.4 | 36.8 | 84.8 | 3.08 | 43.6 | 36.7 |
| Kate Hadwen | - | 18 | 20.6 | 7.7 | 2.6 | 2.2 | 0.9 | 0.0 | 1.9 | 8.5 | 2.9 | 62 | 3.0 | 16.7 | 33.3 | 29.0 | 58.6 | 1.24 | 41.9 | 39.9 |
| Zaylee Ramos | - | 18 | 21.4 | 7.0 | 5.3 | 1.2 | 1.1 | 0.0 | 1.8 | 7.3 | 5.4 | 82 | 4.1 | 22.9 | 36.4 | 28.6 | 70.0 | -0.51 | 42.1 | 37.1 |
| Mady Victorin | - | 18 | 14.3 | 6.7 | 5.3 | 0.6 | 0.2 | 0.4 | 0.7 | 6.3 | 6.2 | 30 | 1.4 | 13.7 | 44.2 | 0.0 | 56.8 | 3.45 | 46.8 | 44.2 |
| Sydney Delisle | - | 18 | 27.1 | 3.8 | 4.7 | 1.5 | 1.2 | 0.2 | 1.1 | 5.7 | 4.6 | 62 | 3.0 | 13.2 | 25.2 | 22.2 | 66.7 | 0.07 | 31.4 | 29.1 |
| Kayleigh Bryant | - | 18 | 22.2 | 3.0 | 5.7 | 0.8 | 0.8 | 1.1 | 1.3 | 3.0 | 7.1 | 159 | 7.6 | 43.6 | 27.8 | 0.0 | 53.3 | 2.9 | 36.6 | 27.8 |
| Emilie Eritano | - | 9 | 7.5 | 2.7 | 1.1 | 0.2 | 0.0 | 0.0 | 0.1 | 2.9 | 1.0 | 48 | 4.4 | 45.2 | 34.6 | 38.5 | 50.0 | 0.96 | 44.6 | 44.2 |
| Alyssa Martin | - | 17 | 12.0 | 2.6 | 1.5 | 0.5 | 0.4 | 0.0 | 0.6 | 3.5 | 0.8 | 6 | 0.3 | 2.8 | 25.4 | 26.7 | 66.7 | -3.67 | 34.9 | 32.2 |
| Kyra Pence | - | 16 | 21.5 | 2.1 | 2.1 | 1.6 | 1.1 | 0.2 | 1.6 | 3.1 | 2.4 | -18 | -0.9 | -8.3 | 28.0 | 0.0 | 50.0 | -0.66 | 30.8 | 28.0 |
| Isabella Santana | - | 14 | 6.3 | 1.5 | 0.8 | 0.1 | 0.4 | 0.0 | 0.4 | 1.8 | 0.6 | 39 | 2.4 | 42.0 | 32.0 | 25.0 | 100.0 | -0.5 | 39.9 | 36.0 |
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