Plattsburgh St.
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 → | 1017 (#207) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1073 (#195) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1041 (#213) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.8 (#252) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.3 (#414) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.443 (#476) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.642 (#305) | NetEff +4.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.268 (#464) | AdjNet -8.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.254 (#464) | AdjNet -9.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.374 (#457) | AdjO 57.8 | AdjD 63.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.525 (#344) | AdjO 61.7 | AdjD 60.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.488 (#391) | 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 → | 0.500 (#381) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1082 (#205) | RD 110 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | Rensselaer | W | 60 - 56 |
| 2025-11-14 | vs | Mount Holyoke | W | 82 - 42 |
| 2025-11-15 | vs | Utica | W | 71 - 50 |
| 2025-11-18 | @ | St. Lawrence | L | 36 - 74 |
| 2025-11-21 | @ | Keene St. | W | 90 - 85 |
| 2025-11-22 | @ | Williams | L | 47 - 74 |
| 2026-01-10 | @ | Oswego St. | L | 70 - 76 |
| 2026-01-13 | vs | SUNY Potsdam | W | 54 - 41 |
| 2026-01-16 | vs | SUNY Morrisville | W | 75 - 66 |
| 2026-01-17 | vs | Cortland | L | 50 - 58 |
| 2026-01-23 | @ | SUNY Oneonta | L | 59 - 61 |
| 2026-01-24 | @ | SUNY New Paltz | L | 43 - 62 |
| 2026-01-27 | @ | SUNY Potsdam | W | 76 - 61 |
| 2026-01-30 | vs | Oswego St. | W | 76 - 64 |
| 2026-01-31 | vs | SUNY Canton | W | 74 - 63 |
| 2026-02-06 | @ | Cortland | L | 38 - 54 |
| 2026-02-07 | @ | SUNY Morrisville | W | 64 - 54 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Imani Walcott | - | 17 | 19.9 | 10.8 | 8.5 | 0.6 | 1.2 | 1.8 | 2.7 | 9.2 | 11.0 | 27 | 1.3 | 6.8 | 48.1 | 0 | 54.8 | -1.05 | 50.2 | 48.1 |
| Julia Greek | - | 17 | 29.2 | 9.6 | 4.2 | 5.6 | 1.2 | 0.2 | 2.8 | 11.3 | 6.8 | 41 | 2.0 | 7.8 | 30.2 | 26.5 | 67.7 | 2.52 | 39.9 | 37.2 |
| Jaden Wilson | - | 14 | 24.8 | 9.2 | 2.6 | 0.9 | 0.7 | 0.2 | 1.9 | 8.0 | 3.8 | -4 | -0.2 | -1.3 | 41.1 | 39.7 | 70.0 | -2.14 | 53.4 | 51.3 |
| Kayla Johannesen | - | 17 | 26.9 | 6.9 | 4.1 | 2.4 | 0.8 | 0.3 | 2.5 | 7.1 | 4.8 | 55 | 2.6 | 12.3 | 34.2 | 31.3 | 70.0 | 2.1 | 45.4 | 42.9 |
| Rosie Sculco | - | 17 | 16.6 | 6.6 | 2.9 | 0.6 | 1.0 | 0.0 | 2.0 | 6.9 | 2.2 | -30 | -1.4 | -10.5 | 39.0 | 30.8 | 50.0 | -1.38 | 44.9 | 44.1 |
| Selma Deisz | - | 6 | 20.6 | 5.7 | 3.7 | 0.5 | 0.7 | 0.0 | 0.5 | 5.0 | 5.0 | 14 | 1.8 | 18.5 | 43.3 | 50.0 | 66.7 | 0.25 | 54.3 | 53.3 |
| Kaelyn Morgan | - | 11 | 16.7 | 5.5 | 3.3 | 0.5 | 0.5 | 0.2 | 0.9 | 4.7 | 4.4 | 35 | 2.5 | 13.8 | 48.1 | 33.3 | 62.5 | 1.53 | 51.7 | 49.0 |
| Kathy Peterson-Ross | - | 16 | 27.1 | 3.9 | 5.1 | 1.3 | 0.9 | 0.6 | 2.1 | 4.9 | 4.8 | 2 | 0.1 | 0.5 | 26.6 | 33.3 | 72.7 | -0.36 | 37.0 | 34.2 |
| Desiree Dubois | - | 1 | 31.0 | 3.0 | 2.0 | 0.0 | 2.0 | 1.0 | 0.0 | 5.0 | 3.0 | 4 | 0.2 | 1.1 | 20.0 | 0.0 | 50.0 | 2.05 | 25.5 | 20.0 |
| Lauren LaFountain | - | 13 | 7.7 | 2.5 | 1.1 | 0.1 | 0.2 | 0.0 | 0.2 | 2.0 | 1.6 | -9 | -0.6 | -15.1 | 30.8 | 36.4 | 75.0 | -1.27 | 52.7 | 46.2 |
| Carmen Marino | - | 4 | 5.9 | 2.2 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | 2.2 | - | - | - | 60.0 | 0 | 75.0 | - | 66.6 | 60.0 |
| Tori Russo | - | 8 | 7.0 | 1.4 | 1.0 | 0.4 | 0.2 | 0.1 | 0.6 | 3.0 | -0.5 | -10 | -0.9 | -19.1 | 20.8 | 14.3 | 0 | -0.34 | 22.9 | 22.9 |
| Meredith Bush | - | 17 | 13.6 | 1.4 | 1.9 | 0.5 | 0.5 | 0.1 | 0.6 | 2.9 | 0.9 | 47 | 2.2 | 23.0 | 16.3 | 18.8 | 50.0 | -1.61 | 23.6 | 22.4 |
| Katie Cunningham | - | 8 | 5.0 | 1.0 | 0.6 | 0.2 | 0.2 | 0.0 | 0.4 | 1.0 | 0.8 | -11 | -1.1 | -165.0 | 37.5 | 0.0 | 100.0 | -1.94 | 45.0 | 37.5 |
| Samantha Calahan | - | 6 | 4.0 | 0.8 | 0.3 | 0.2 | 0.2 | 0.3 | 0.5 | 1.0 | 0.3 | 9 | 1.1 | 366.1 | 16.7 | 25.0 | 50.0 | -0.19 | 32.2 | 25.0 |
| Calleigh Franklin | - | 7 | 4.4 | 0.4 | 1.0 | 0.1 | 0.0 | 0.1 | 0.1 | 0.6 | 1.0 | -8 | -0.9 | -104.9 | 0.0 | 0 | 75.0 | -1.02 | 26.0 | 0.0 |
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