Eureka
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 → | 815 (#465) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 564 (#604) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 649 (#730) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -38.1 (#410) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -41.6 (#701) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.084 (#641) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 1.000 (#24) | NetEff +75.8 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.004 (#570) | NetEff -39.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.013 (#657) | AdjNet -37.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.013 (#653) | AdjNet -36.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.100 (#659) | AdjO 52.0 | AdjD 76.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.047 (#722) | AdjO 46.1 | AdjD 79.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.016 (#720) | 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 → | 0.017 (#721) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 452 (#581) | RD 107 | GP 23 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | vs | Wis.-Oshkosh | L | 33 - 83 |
| 2025-11-15 | vs | Wis.-Stevens Point | L | 50 - 88 |
| 2025-11-18 | @ | Illinois Tech | L | 58 - 71 |
| 2025-11-21 | @ | Hanover | L | 40 - 85 |
| 2025-11-22 | vs | Wilmington (OH) | L | 46 - 75 |
| 2025-11-25 | vs | Blackburn | L | 77 - 91 |
| 2025-12-16 | @ | McKendree | L | 37 - 97 |
| 2025-12-29 | vs | Monmouth (IL) | L | 67 - 96 |
| 2025-12-30 | vs | Millikin | L | 25 - 85 |
| 2026-01-10 | vs | Lyon | L | 57 - 89 |
| 2026-01-12 | @ | Illinois Col. | L | 58 - 96 |
| 2026-01-14 | @ | Webster | L | 46 - 93 |
| 2026-01-17 | @ | Spalding | L | 46 - 65 |
| 2026-01-20 | @ | Principia | L | 52 - 91 |
| 2026-01-22 | vs | Spalding | L | 35 - 65 |
| 2026-01-26 | vs | Greenville | L | 54 - 70 |
| 2026-01-31 | @ | Westminster (MO) | L | 41 - 61 |
| 2026-02-05 | @ | Lyon | L | 60 - 87 |
| 2026-02-07 | @ | MUW | L | 62 - 91 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kayla Collins | - | 12 | 32.6 | 12.2 | 3.2 | 1.2 | 1.3 | 0.2 | 5.9 | 15.9 | -3.7 | -289 | -19.3 | -71.7 | 28.3 | 19.8 | 76.7 | -4.43 | 36.0 | 32.5 |
| Courtney Hart | - | 15 | 25.9 | 11.0 | 11.3 | 0.6 | 0.8 | 0.6 | 1.8 | 8.7 | 13.8 | -246 | -13.7 | -417.8 | 54.6 | 0 | 56.1 | -0.07 | 55.7 | 54.6 |
| Lailah Hadley | - | 10 | 37.5 | 9.9 | 4.5 | 5.0 | 2.1 | 0.3 | 5.9 | 14.2 | 1.7 | -242 | -13.4 | -59.4 | 28.2 | 15.6 | 46.2 | -2.67 | 32.3 | 30.6 |
| Sierra Garcia-Reisch | - | 9 | 29.8 | 9.2 | 4.9 | 1.3 | 2.7 | 0.4 | 2.8 | 11.4 | 4.3 | - | - | - | 29.1 | 20.6 | 62.5 | - | 37.7 | 35.4 |
| Allysa Taylor | - | 9 | 35.6 | 8.9 | 3.6 | 3.3 | 1.9 | 0.2 | 4.8 | 10.9 | 2.2 | - | - | - | 27.6 | 22.2 | 66.7 | - | 37.3 | 33.7 |
| Miracle Armstrong | - | 14 | 32.8 | 8.8 | 3.6 | 1.8 | 1.8 | 0.1 | 4.5 | 11.8 | -0.1 | -245 | -16.3 | -72.7 | 27.9 | 14.0 | 46.2 | 0.76 | 32.7 | 30.0 |
| Railynn Brown | - | 19 | 31.0 | 6.9 | 3.6 | 0.7 | 0.8 | 0.1 | 1.7 | 9.1 | 1.4 | -341 | -15.5 | -109.6 | 28.5 | 25.4 | 100.0 | 0.02 | 38.0 | 37.2 |
| Abigail Martinez | - | 13 | 23.1 | 3.7 | 1.9 | 0.7 | 1.7 | 0.3 | 2.9 | 8.4 | -3.0 | -192 | -12.8 | -62.0 | 17.4 | 7.3 | 53.8 | -3.22 | 20.9 | 18.8 |
| Brooklyn Bowman | - | 18 | 24.6 | 2.7 | 3.2 | 0.6 | 0.8 | 0.6 | 1.1 | 2.5 | 4.4 | -314 | -15.0 | -113.6 | 40.0 | 0.0 | 54.2 | -2.48 | 44.1 | 40.0 |
| Kenna Newton | - | 13 | 15.4 | 1.2 | 2.2 | 0.0 | 0.4 | 0.0 | 1.3 | 2.7 | -0.3 | -137 | -9.1 | -68.3 | 11.4 | 9.5 | 35.7 | -1.62 | 18.2 | 14.3 |
| Miyala Gallegos | - | 1 | 10.4 | 1.0 | 1.0 | 0.0 | 3.0 | 0.0 | 2.0 | 1.0 | 2.0 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
| Daniesha Oliver | - | 6 | 9.0 | 0.3 | 1.5 | 0.0 | 0.7 | 0.0 | 1.3 | 1.0 | 0.2 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
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