Russell Sage
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 → | 1013 (#222) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1067 (#207) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1056 (#167) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -8.6 (#282) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -10.3 (#499) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.247 (#562) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.663 (#295) | NetEff +4.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.069 (#572) | AdjNet -22.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.062 (#570) | AdjNet -23.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.215 (#562) | AdjO 54.0 | AdjD 68.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.411 (#525) | AdjO 57.5 | AdjD 61.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.414 (#444) | 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 → | 0.421 (#443) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1101 (#160) | RD 96 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | Bard | W | 61 - 44 |
| 2025-11-12 | @ | Union (NY) | L | 61 - 64 |
| 2025-11-15 | vs | SUNY Morrisville | W | 80 - 70 |
| 2025-11-18 | @ | Saint Joseph (CT) | W | 67 - 56 |
| 2025-11-22 | vs | SUNY Canton | L | 51 - 72 |
| 2025-11-29 | vs | Hartford | W | 64 - 50 |
| 2025-12-01 | vs | SUNY Cobleskill | W | 71 - 68 |
| 2026-01-10 | @ | Elmira | L | 54 - 74 |
| 2026-01-13 | vs | SUNY Poly | W | 59 - 55 |
| 2026-01-16 | vs | Houghton | W | 73 - 58 |
| 2026-01-17 | vs | Alfred | W | 64 - 49 |
| 2026-01-23 | vs | Nazareth | L | 45 - 80 |
| 2026-01-24 | vs | St. John Fisher | W | 52 - 44 |
| 2026-01-27 | @ | Hartwick | W | 68 - 63 |
| 2026-01-30 | @ | SUNY Brockport | L | 66 - 71 |
| 2026-01-31 | @ | SUNY Geneseo | W | 65 - 64 |
| 2026-02-06 | vs | Elmira | L | 49 - 71 |
| 2026-02-07 | vs | Keuka | W | 50 - 41 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Layla Acosta | - | 17 | 30.1 | 16.1 | 4.4 | 2.4 | 1.6 | 0.1 | 3.8 | 14.9 | 5.9 | 61 | 3.0 | 14.3 | 39.8 | 33.7 | 65.6 | 3.99 | 48.6 | 45.9 |
| Kallie Hopkins | - | 18 | 30.5 | 10.6 | 8.5 | 1.5 | 1.2 | 0.5 | 2.3 | 9.8 | 10.2 | 40 | 1.9 | 6.6 | 40.9 | 20.7 | 69.5 | 1.48 | 47.3 | 42.6 |
| Kyla Smith | - | 18 | 32.5 | 9.0 | 5.1 | 2.2 | 0.8 | 0.3 | 2.7 | 9.7 | 5.1 | 26 | 1.2 | 3.9 | 30.5 | 32.3 | 73.5 | 2.24 | 42.9 | 39.4 |
| Jaileen Soto | - | 18 | 27.1 | 8.0 | 4.6 | 2.2 | 1.1 | 0.0 | 3.2 | 7.8 | 4.8 | 29 | 1.4 | 6.1 | 31.2 | 27.3 | 71.2 | 1.65 | 42.3 | 34.4 |
| Aniyah Kelley | - | 16 | 19.0 | 6.4 | 5.1 | 0.3 | 0.6 | 0.4 | 1.2 | 6.0 | 5.6 | -28 | -1.5 | -8.1 | 40.6 | 38.9 | 77.3 | -1.02 | 48.3 | 44.3 |
| Danielle Waldron | - | 18 | 12.0 | 3.7 | 2.8 | 0.4 | 1.0 | 0.4 | 0.7 | 5.1 | 2.6 | -15 | -0.7 | -6.3 | 27.5 | 24.3 | 50.0 | -1.21 | 34.2 | 32.4 |
| Emily Zeh | - | 17 | 17.2 | 3.5 | 3.5 | 0.6 | 0.2 | 0.6 | 1.2 | 2.4 | 4.9 | 25 | 1.2 | 8.6 | 50.0 | 0.0 | 73.1 | -2.62 | 57.3 | 50.0 |
| Miranda Price | - | 13 | 11.9 | 3.1 | 2.2 | 0.2 | 0.2 | 0.1 | 1.1 | 3.0 | 1.7 | -41 | -2.6 | -22.0 | 35.9 | 23.8 | 77.8 | -2.8 | 46.6 | 42.3 |
| Madison Huneau | - | 15 | 27.8 | 2.6 | 3.3 | 2.1 | 1.1 | 0.3 | 1.7 | 3.3 | 4.3 | -2 | -0.1 | -0.4 | 18.0 | 11.1 | 51.3 | -3.49 | 29.0 | 19.0 |
| Isabella Clute | - | 11 | 8.1 | 1.9 | 1.4 | 0.3 | 0.1 | 0.1 | 1.3 | 1.5 | 1.0 | -37 | -3.4 | -35.4 | 50.0 | 75.0 | 100.0 | -3.75 | 62.2 | 59.4 |
| Olivia Shieve | - | 2 | 0.6 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
| Samantha Henderson | - | 6 | 2.3 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.5 | 0.5 | -0.7 | -4 | -0.8 | -26.7 | 0.0 | 0 | 0 | 0.16 | 0.0 | 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