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 → | 1055 (#124) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1097 (#153) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1084 (#113) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.8 (#112) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.5 (#267) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.799 (#310) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.883 (#178) | NetEff +14.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.585 (#353) | AdjNet +3.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.580 (#352) | AdjNet +2.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.513 (#363) | AdjO 56.3 | AdjD 55.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.689 (#135) | AdjO 61.9 | AdjD 53.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.690 (#224) | 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 → | 0.705 (#207) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1110 (#144) | RD 107 | GP 20 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | vs | Claremont-M-S | L | 51 - 56 |
| 2025-11-08 | vs | Rose-Hulman | W | 56 - 46 |
| 2025-11-12 | vs | Carthage | W | 57 - 49 |
| 2025-11-19 | vs | Lake Forest | W | 63 - 42 |
| 2025-11-22 | @ | Wis.-Superior | W | 61 - 53 |
| 2025-12-03 | @ | Dominican (IL) | W | 66 - 43 |
| 2025-12-20 | vs | Millikin | W | 53 - 48 |
| 2026-01-10 | vs | Concordia Chicago | W | 83 - 66 |
| 2026-01-14 | @ | Edgewood | L | 56 - 68 |
| 2026-01-17 | @ | Aurora | L | 48 - 53 |
| 2026-01-21 | vs | Marian (WI) | W | 87 - 39 |
| 2026-01-24 | vs | Benedictine (IL) | W | 72 - 70 |
| 2026-01-28 | @ | Wis. Lutheran | L | 54 - 59 |
| 2026-01-31 | @ | Concordia Wisconsin | W | 52 - 42 |
| 2026-02-04 | vs | Lakeland | W | 65 - 40 |
| 2026-02-07 | vs | Illinois Tech | W | 75 - 43 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Halena Hill | - | 16 | 29.9 | 14.1 | 4.9 | 1.7 | 0.8 | 0.2 | 1.9 | 12.9 | 6.8 | 135 | 7.1 | 35.0 | 39.1 | 30.0 | 80.0 | 3.05 | 49.3 | 44.9 |
| Lana Kerley | - | 16 | 29.8 | 13.2 | 6.8 | 1.2 | 0.8 | 0.6 | 2.2 | 11.8 | 8.6 | 145 | 7.6 | 45.9 | 38.3 | 36.5 | 77.1 | 2.16 | 50.7 | 46.5 |
| Dani Mendez | - | 16 | 23.1 | 8.5 | 5.7 | 0.8 | 1.2 | 0.2 | 1.9 | 5.3 | 9.1 | 117 | 6.2 | 46.0 | 50.6 | 0 | 72.5 | 4.28 | 58.9 | 50.6 |
| Mahima Chokshi | - | 16 | 26.6 | 7.8 | 2.4 | 3.0 | 1.7 | 0.5 | 3.0 | 7.6 | 4.8 | 145 | 8.5 | 43.5 | 36.4 | 29.3 | 78.1 | 2.56 | 46.3 | 41.3 |
| Shelby Glodowski | - | 16 | 19.0 | 5.1 | 4.5 | 2.1 | 1.8 | 0.7 | 1.3 | 4.6 | 8.1 | 87 | 4.6 | 43.4 | 35.1 | 29.4 | 75.0 | -1.5 | 46.0 | 38.5 |
| Aleah Butterbrodt | - | 16 | 20.9 | 4.2 | 2.9 | 0.7 | 0.5 | 0.1 | 0.8 | 3.9 | 3.8 | 82 | 4.3 | 42.9 | 38.7 | 39.3 | 61.5 | 2.33 | 49.5 | 47.6 |
| Elly Kohl | - | 16 | 24.3 | 3.8 | 2.1 | 1.3 | 0.9 | 0.2 | 1.7 | 3.6 | 3.1 | 152 | 8.0 | 49.7 | 33.3 | 31.7 | 83.3 | -0.92 | 49.0 | 44.7 |
| Gina Falls | - | 11 | 5.4 | 2.1 | 1.1 | 0.1 | 0.2 | 0.0 | 0.5 | 1.9 | 1.1 | 24 | 1.8 | 34.4 | 42.9 | 30.8 | 100.0 | -1.28 | 53.6 | 52.4 |
| Aubrey Metzger | - | 9 | 7.4 | 2.0 | 1.8 | 0.1 | 0.1 | 0.4 | 0.4 | 1.2 | 2.8 | 8 | 0.9 | 7.7 | 72.7 | 0 | 100.0 | -3.34 | 75.8 | 72.7 |
| Filippa Niamj | - | 5 | 4.7 | 1.2 | 0.8 | 0.4 | 0.2 | 0.0 | 0.0 | 1.4 | 1.2 | 20 | 2.5 | 64.8 | 14.3 | 33.3 | 75.0 | 0.37 | 34.2 | 21.4 |
| Maggie Lewandowski | - | 14 | 6.7 | 1.1 | 0.6 | 0.6 | 0.2 | 0.0 | 0.3 | 1.6 | 0.6 | 18 | 1.1 | 20.1 | 26.1 | 0.0 | 100.0 | -0.26 | 32.3 | 26.1 |
| Rachel Vasey | - | 10 | 6.1 | 1.0 | 1.6 | 0.3 | 0.2 | 0.2 | 0.6 | 1.5 | 1.2 | -3 | -0.2 | -14.6 | 33.3 | 0.0 | 0 | 0.18 | 33.3 | 33.3 |
| Emily Ross | - | 4 | 1.6 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | 0.2 | 0 | 0.0 | 0.0 | 33.3 | 50.0 | 0 | 0.08 | 50.0 | 50.0 |
| Emily Troia | - | 16 | 8.7 | 0.6 | 1.2 | 0.9 | 0.4 | 0.2 | 0.6 | 1.2 | 1.6 | 32 | 1.8 | 47.2 | 20.0 | 9.1 | 100.0 | -0.91 | 24.5 | 22.5 |
| Anna Richards | - | 5 | 2.3 | 0.6 | 0.0 | 0.2 | 0.2 | 0.0 | 0.2 | 0.4 | 0.4 | 52 | 2.6 | 12.7 | 50.0 | 100.0 | 0 | -1.49 | 75.0 | 75.0 |
| June Kirkpatrick | - | 5 | 1.6 | 0.4 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | -2 | -0.3 | -27.1 | 0.0 | 0 | 100.0 | 0.63 | 53.2 | 0.0 |
| Callie Nelson | - | 2 | 1.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 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