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 → | 988 (#259) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1126 (#108) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 914 (#596) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +17.5 (#45) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.4 (#196) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.420 (#485) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.785 (#230) | NetEff +9.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.841 (#248) | AdjNet +14.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.845 (#248) | AdjNet +14.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.687 (#247) | AdjO 66.1 | AdjD 57.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.659 (#170) | AdjO 64.0 | AdjD 56.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.698 (#219) | 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 → | 0.682 (#234) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 996 (#315) | RD 104 | GP 20 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | vs | Rose-Hulman | W | 81 - 33 |
| 2025-11-08 | @ | Claremont-M-S | W | 58 - 51 |
| 2025-11-15 | vs | Adrian | W | 65 - 58 |
| 2025-11-19 | @ | Capital | L | 54 - 59 |
| 2025-11-22 | vs | Thiel | W | 91 - 50 |
| 2025-11-25 | @ | Bethany (WV) | W | 53 - 47 |
| 2025-12-03 | vs | Marietta | L | 66 - 67 |
| 2025-12-29 | vs | Oberlin | W | 68 - 55 |
| 2025-12-30 | @ | Baldwin Wallace | L | 52 - 76 |
| 2026-01-10 | @ | Carnegie Mellon | W | 63 - 48 |
| 2026-01-16 | vs | UChicago | L | 44 - 52 |
| 2026-01-18 | vs | WashU | L | 52 - 66 |
| 2026-01-23 | @ | Emory | L | 46 - 90 |
| 2026-01-25 | @ | Rochester (NY) | L | 70 - 75 |
| 2026-01-30 | @ | NYU | L | 64 - 93 |
| 2026-02-01 | @ | Brandeis | L | 69 - 77 |
| 2026-02-06 | vs | NYU | L | 65 - 73 |
| 2026-02-08 | vs | Brandeis | L | 27 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Abby Kennedy | - | 1 | 34.0 | 18.0 | 2.0 | 0.0 | 2.0 | 0.0 | 5.0 | 24.0 | -7.0 | 48 | 2.8 | 7.3 | 33.3 | 33.3 | 0 | 1.89 | 37.5 | 37.5 |
| Mya Hartjes | - | 17 | 31.6 | 15.3 | 6.1 | 3.7 | 1.2 | 0.1 | 2.4 | 13.2 | 10.7 | -51 | -2.5 | -9.4 | 42.7 | 42.4 | 88.9 | 2.1 | 54.0 | 50.7 |
| Emily Plachta | - | 17 | 31.0 | 13.6 | 7.8 | 1.2 | 1.3 | 1.4 | 1.6 | 12.5 | 11.2 | -50 | -2.5 | -9.0 | 32.9 | 30.0 | 69.9 | 3.2 | 45.7 | 39.2 |
| Claire Candela | - | 1 | 25.6 | 12.0 | 5.0 | 0.0 | 0.0 | 1.0 | 2.0 | 9.0 | 7.0 | -10 | -0.6 | -1.9 | 44.4 | 66.7 | 0 | -2.31 | 66.7 | 66.7 |
| Maura Schorr | - | 17 | 24.7 | 10.1 | 7.4 | 0.6 | 2.0 | 0.9 | 2.3 | 9.4 | 9.3 | -52 | -2.6 | -11.1 | 43.8 | 26.1 | 67.6 | -2.1 | 48.5 | 45.6 |
| Sofia Berisha | - | 1 | 30.2 | 10.0 | 3.0 | 8.0 | 0.0 | 1.0 | 2.0 | 8.0 | 12.0 | 48 | 2.7 | 12.7 | 62.5 | 0 | 0 | -1.44 | 62.5 | 62.5 |
| Katherine Vaughan | - | 1 | 14.9 | 7.0 | 2.0 | 2.0 | 0.0 | 2.0 | 0.0 | 4.0 | 9.0 | 92 | 5.1 | 20.5 | 75.0 | 0 | 25.0 | 1.27 | 60.8 | 75.0 |
| Jordyn Call | - | 17 | 25.6 | 6.5 | 1.9 | 0.8 | 0.9 | 0.2 | 1.2 | 9.5 | -0.3 | -113 | -5.7 | -24.9 | 24.8 | 20.4 | 66.7 | -0.42 | 33.4 | 32.0 |
| Saviah Shabazz | - | 1 | 36.0 | 6.0 | 2.0 | 2.0 | 1.0 | 0.0 | 2.0 | 8.0 | 1.0 | 27 | 1.5 | 4.0 | 25.0 | 33.3 | 100.0 | -1.66 | 35.5 | 31.2 |
| Maya Williams | - | 1 | 12.0 | 6.0 | 6.0 | 1.0 | 1.0 | 1.0 | 0.0 | 4.0 | 11.0 | 76 | 4.2 | 16.6 | 75.0 | 0 | 0 | 4.21 | 75.0 | 75.0 |
| Taylor Angielski | - | 16 | 18.3 | 4.3 | 1.7 | 0.2 | 0.6 | 0.1 | 0.5 | 4.2 | 2.1 | -7 | -0.4 | -2.0 | 32.4 | 35.0 | 100.0 | 1.73 | 49.5 | 47.8 |
| Brooke Reed | - | 1 | 9.7 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | -27 | -1.9 | -12.5 | 50.0 | 0 | 100.0 | -2.08 | 69.4 | 50.0 |
| Maya Roberts | - | 16 | 22.4 | 3.5 | 2.1 | 0.9 | 0.8 | 0.3 | 1.1 | 4.6 | 1.9 | -35 | -1.9 | -11.1 | 28.8 | 23.1 | 47.8 | -2.31 | 33.7 | 30.8 |
| Biz Watson | - | 17 | 20.8 | 3.5 | 5.5 | 1.3 | 1.5 | 0.9 | 1.5 | 6.0 | 5.2 | -124 | -6.2 | -45.9 | 21.6 | 20.0 | 52.2 | -2.36 | 26.8 | 23.5 |
| Lauren Ludwig | - | 11 | 6.6 | 3.1 | 1.0 | 0.1 | 0.3 | 0.0 | 0.3 | 2.6 | 1.5 | -24 | -1.8 | -50.5 | 41.4 | 40.0 | 50.0 | -0.39 | 55.3 | 55.2 |
| Molly James | - | 1 | 3.7 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -16 | -3.2 | -120.0 | 0 | 0 | 75.0 | -1.05 | 85.2 | 0 |
| Elena Delicado | - | 1 | 25.6 | 3.0 | 8.0 | 3.0 | 1.0 | 2.0 | 1.0 | 5.0 | 11.0 | -14 | -1.2 | -4.6 | 20.0 | 0 | 50.0 | -2.29 | 25.5 | 20.0 |
| Christen Banks | - | 13 | 7.3 | 1.9 | 1.0 | 0.2 | 0.2 | 0.0 | 0.4 | 1.5 | 1.5 | -18 | -1.2 | -15.3 | 40.0 | 0 | 69.2 | -1.4 | 48.6 | 40.0 |
| Ava Jordan | - | 8 | 3.8 | 1.6 | 0.5 | 0.1 | 0.4 | 0.1 | 0.2 | 1.0 | 1.5 | 2 | 0.2 | 3.0 | 50.0 | 0.0 | 100.0 | 1.49 | 63.7 | 50.0 |
| Mila Rossini | - | 15 | 8.2 | 0.9 | 1.6 | 0.5 | 0.3 | 0.0 | 0.7 | 1.6 | 1.0 | -34 | -1.9 | -24.9 | 20.8 | 14.3 | 100.0 | -2.78 | 28.1 | 25.0 |
| Emi Hutter-DeMarco | - | 17 | 7.8 | 0.6 | 1.1 | 0.9 | 0.5 | 0.0 | 1.3 | 0.8 | 1.0 | -75 | -3.8 | -53.3 | 21.4 | 25.0 | 66.7 | -3.88 | 33.1 | 25.0 |
| Abby Sirois | - | 6 | 4.4 | 0.5 | 0.3 | 0.3 | 0.3 | 0.0 | 0.7 | 1.8 | -1.0 | 16 | 2.7 | 61.4 | 9.1 | 0.0 | 50.0 | 0.74 | 12.6 | 9.1 |
| Clara Swanson | - | 6 | 3.7 | 0.3 | 0.7 | 0.0 | 0.2 | 0.0 | 0.2 | 0.3 | 0.7 | 6 | 1.0 | 27.6 | 50.0 | 0.0 | 0 | 0.68 | 50.0 | 50.0 |
| Carlie Marrella | - | 1 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 13 | 1.0 | 11.4 | 0 | 0 | 0 | 0.43 | 0 | 0 |
| Jazzy Perez | - | 1 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -3.0 | -8 | -0.4 | -3.7 | 0.0 | 0 | 0 | -0.81 | 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