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 → | 851 (#456) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 665 (#589) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 695 (#727) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -50.3 (#428) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -34.5 (#684) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.003 (#734) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.009 (#556) | NetEff -27.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#752) | AdjNet -82.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#752) | AdjNet -85.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.011 (#749) | AdjO 33.9 | AdjD 83.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.089 (#708) | AdjO 42.2 | AdjD 67.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.025 (#707) | 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 → | 0.029 (#707) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 537 (#580) | RD 119 | GP 18 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | Hunter | L | 46 - 94 |
| 2025-11-12 | vs | York (NY) | W | 57 - 36 |
| 2025-11-14 | @ | St. Joseph's (Brkln) | L | 40 - 87 |
| 2025-11-15 | vs | St. Joseph's (L.I.) | L | 33 - 61 |
| 2025-11-22 | vs | Berkeley (NY) | L | 38 - 50 |
| 2025-12-01 | @ | Baruch | L | 36 - 82 |
| 2025-12-03 | vs | CCNY | L | 55 - 59 |
| 2025-12-13 | vs | Keystone | L | 50 - 77 |
| 2026-01-10 | @ | Marywood | L | 46 - 58 |
| 2026-01-14 | @ | Centenary (NJ) | L | 61 - 71 |
| 2026-01-17 | vs | Marymount (VA) | L | 33 - 74 |
| 2026-01-21 | @ | Saint Elizabeth | L | 50 - 61 |
| 2026-01-24 | @ | Immaculata | L | 32 - 74 |
| 2026-01-28 | vs | Neumann | L | 36 - 53 |
| 2026-01-31 | @ | Gwynedd Mercy | L | 52 - 66 |
| 2026-02-04 | vs | Centenary (NJ) | L | 46 - 49 |
| 2026-02-07 | vs | Marywood | L | 65 - 74 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kylie Grant | - | 16 | 36.3 | 16.9 | 9.2 | 1.8 | 2.0 | 0.0 | 5.1 | 16.9 | 8.0 | -110 | -6.9 | -23.1 | 34.1 | 28.8 | 66.1 | -1.58 | 42.6 | 36.9 |
| Anabela Jakelic | - | 16 | 32.8 | 12.7 | 13.3 | 1.7 | 1.6 | 1.4 | 3.6 | 14.2 | 12.9 | -90 | -6.4 | -22.6 | 35.7 | 17.4 | 67.3 | -0.17 | 40.4 | 36.6 |
| Lola Mactavish | - | 17 | 31.8 | 6.0 | 3.3 | 1.2 | 1.2 | 0.1 | 4.5 | 9.1 | -1.8 | -141 | -8.3 | -35.8 | 21.4 | 17.1 | 57.1 | -2.53 | 29.6 | 25.3 |
| Miga Higa | - | 14 | 27.0 | 5.4 | 1.3 | 1.4 | 1.4 | 0.0 | 2.4 | 7.4 | -0.4 | -54 | -4.2 | -18.9 | 24.3 | 21.7 | 60.6 | 0.08 | 31.9 | 26.7 |
| Emily Carlson | - | 15 | 30.5 | 4.5 | 8.5 | 1.1 | 1.1 | 0.5 | 2.1 | 5.0 | 8.7 | -112 | -7.5 | -29.1 | 29.3 | 40.0 | 57.9 | -1.65 | 37.1 | 30.7 |
| Dahlia Dimitrov | - | 17 | 32.7 | 2.2 | 3.4 | 1.6 | 1.1 | 0.6 | 4.0 | 4.5 | 0.4 | -124 | -7.3 | -32.7 | 19.5 | 16.1 | 50.0 | -0.66 | 23.9 | 22.7 |
| Jordan Cho-Wolfe | - | 8 | 6.5 | 1.0 | 1.9 | 0.4 | 0.1 | 0.4 | 0.6 | 0.8 | 2.4 | 9 | 1.3 | 43.5 | 66.7 | 0 | 0.0 | -0.31 | 58.1 | 66.7 |
| Kaylee Kang | - | 14 | 12.3 | 0.7 | 0.9 | 0.3 | 0.2 | 0.0 | 2.1 | 2.1 | -2.1 | -44 | -3.4 | -40.4 | 13.3 | 0.0 | 33.3 | -1.0 | 15.3 | 13.3 |
| Yirui Ma | - | 2 | 10.2 | 0.5 | 0.5 | 0.5 | 0.0 | 0.0 | 2.5 | 1.0 | -2.0 | - | - | - | 0.0 | 0 | 50.0 | - | 17.4 | 0.0 |
| Emily Vazquez | - | 5 | 4.4 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 1.2 | 0.0 | -1.0 | 2 | 0.4 | 28.6 | 0 | 0 | 0 | 0.02 | 0 | 0 |
| Tai Smith | - | 1 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | 0.03 | 0 | 0 |
| Shriya Chandran | - | 4 | 3.0 | 0.0 | 0.2 | 0.0 | 0.2 | 0.0 | 0.5 | 0.2 | -0.2 | -15 | -5.0 | -79.6 | 0.0 | 0.0 | 0 | -1.14 | 0.0 | 0.0 |
| Sara Richman | - | 6 | 3.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | -0.2 | -10 | -2.0 | -104.8 | 0 | 0 | 0 | -0.48 | 0 | 0 |
| Nina Allen | - | 9 | 6.7 | 0.0 | 0.7 | 0.1 | 0.0 | 0.0 | 1.1 | 0.3 | -0.7 | -43 | -5.4 | -136.1 | 0.0 | 0.0 | 0 | -2.09 | 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