St. Lawrence
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 → | 1054 (#126) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1085 (#176) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1060 (#156) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.3 (#186) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.5 (#419) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.606 (#401) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.687 (#283) | NetEff +6.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.495 (#383) | AdjNet -0.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.487 (#383) | AdjNet -0.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.465 (#390) | AdjO 61.6 | AdjD 63.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.489 (#407) | AdjO 61.3 | AdjD 61.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.544 (#347) | 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 → | 0.536 (#352) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1080 (#209) | RD 101 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | SUNY Potsdam | W | 69 - 50 |
| 2025-11-11 | @ | Oswego St. | W | 65 - 58 |
| 2025-11-18 | vs | Plattsburgh St. | W | 74 - 36 |
| 2025-11-21 | vs | Connecticut Col. | L | 48 - 62 |
| 2025-11-22 | @ | Salve Regina | W | 85 - 69 |
| 2025-12-10 | vs | Hamilton | W | 79 - 73 |
| 2026-01-10 | @ | Vassar | L | 58 - 70 |
| 2026-01-16 | vs | Skidmore | W | 61 - 59 |
| 2026-01-17 | vs | William Smith | L | 56 - 60 |
| 2026-01-23 | vs | RIT | L | 35 - 62 |
| 2026-01-24 | vs | Ithaca | W | 80 - 72 |
| 2026-01-27 | @ | Clarkson | W | 71 - 58 |
| 2026-01-30 | vs | Vassar | W | 68 - 59 |
| 2026-01-31 | vs | Bard | W | 71 - 39 |
| 2026-02-06 | @ | Ithaca | W | 58 - 55 |
| 2026-02-07 | @ | RIT | L | 49 - 71 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jackie Malley | - | 16 | 28.0 | 12.8 | 2.8 | 1.8 | 1.1 | 0.3 | 1.1 | 10.9 | 6.8 | 21 | 1.0 | 3.9 | 35.6 | 39.8 | 90.0 | -1.03 | 53.5 | 48.6 |
| Annie Perry | - | 9 | 29.3 | 10.8 | 1.9 | 3.1 | 1.3 | 0.1 | 2.1 | 8.8 | 6.3 | 29 | 2.1 | 18.6 | 43.0 | 45.7 | 72.2 | 0.12 | 55.8 | 53.2 |
| Elizabeth Flynn | - | 9 | 23.7 | 10.8 | 8.3 | 1.7 | 1.8 | 0.2 | 1.9 | 8.8 | 12.1 | 39 | 4.3 | 11.4 | 44.3 | 0.0 | 73.0 | 1.51 | 50.9 | 44.3 |
| Norah Niesz | - | 16 | 28.9 | 10.0 | 2.9 | 2.0 | 0.7 | 0.2 | 1.7 | 9.7 | 4.4 | 39 | 1.9 | 6.0 | 36.1 | 35.8 | 72.5 | 2.14 | 46.3 | 42.3 |
| Stevie Bannon | - | 15 | 19.4 | 7.9 | 3.2 | 1.3 | 1.1 | 0.1 | 1.7 | 6.9 | 5.1 | 76 | 4.5 | 18.1 | 38.8 | 27.3 | 66.7 | 4.36 | 46.9 | 40.3 |
| Mason Baker-Schlendering | - | 16 | 25.4 | 6.1 | 5.8 | 0.2 | 0.9 | 0.7 | 0.9 | 6.1 | 6.7 | 21 | 1.0 | 3.9 | 46.9 | 0.0 | 50.0 | -0.62 | 47.4 | 46.9 |
| Hannah Van Dyke | - | 16 | 22.3 | 5.7 | 5.9 | 1.3 | 0.8 | 0.2 | 1.4 | 6.6 | 5.9 | 42 | 2.0 | 9.1 | 32.4 | 29.3 | 64.7 | -0.2 | 40.5 | 38.1 |
| Margaret Dougher | - | 14 | 12.8 | 3.3 | 1.3 | 0.3 | 0.1 | 0.2 | 0.6 | 3.1 | 1.5 | -28 | -1.6 | -12.7 | 38.6 | 29.2 | 71.4 | -1.83 | 48.9 | 46.6 |
| Izzy Caron | - | 16 | 19.9 | 3.3 | 4.1 | 1.9 | 0.9 | 0.0 | 1.4 | 3.7 | 5.1 | -26 | -1.2 | -5.8 | 23.7 | 24.0 | 70.4 | -2.14 | 37.4 | 28.8 |
| Alexis Mackenzie | - | 12 | 8.3 | 2.4 | 0.7 | 0.1 | 0.0 | 0.0 | 0.8 | 2.6 | -0.2 | 10 | 0.6 | 7.9 | 29.0 | 35.3 | 62.5 | -2.52 | 42.0 | 38.7 |
| KJ Greenhalgh | - | 3 | 6.4 | 1.7 | 1.3 | 0.0 | 0.3 | 0.0 | 1.0 | 1.0 | 1.3 | 7 | 2.3 | 14.6 | 66.7 | 0 | 50.0 | 0.71 | 64.4 | 66.7 |
| Emily Wendt | - | 9 | 6.2 | 1.4 | 0.8 | 0.4 | 0.1 | 0.0 | 0.4 | 1.8 | 0.6 | 0 | 0.0 | 0.0 | 31.2 | 33.3 | 33.3 | -0.91 | 34.9 | 34.4 |
| Whitney Lewis | - | 8 | 4.2 | 1.0 | 2.0 | 0.0 | 0.2 | 0.2 | 0.1 | 1.5 | 1.9 | -5 | -0.4 | -11.6 | 25.0 | 0 | 33.3 | -0.97 | 27.3 | 25.0 |
| Caelan McCormack | - | 3 | 4.6 | 1.0 | 0.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.3 | 2.0 | 4 | 1.0 | 11.6 | 100.0 | 100.0 | 0 | -0.0 | 150.0 | 150.0 |
| Josie Cancro | - | 8 | 5.1 | 0.5 | 1.1 | 0.2 | 0.1 | 0.1 | 0.4 | 0.9 | 0.9 | 15 | 1.7 | 27.3 | 14.3 | 33.3 | 25.0 | 0.27 | 22.8 | 21.4 |
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