Lake Superior St.
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 → | 908 (#444) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 885 (#447) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 865 (#638) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.7 (#167) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.3 (#395) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.040 (#575) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.141 (#385) | NetEff -13.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.237 (#498) | AdjNet -10.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.243 (#501) | AdjNet -9.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.356 (#502) | AdjO 61.5 | AdjD 68.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.371 (#560) | AdjO 62.1 | AdjD 67.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.374 (#471) | 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 → | 0.360 (#480) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 822 (#451) | RD 101 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | vs | Findlay | L | 61 - 72 |
| 2025-11-16 | vs | Northwood | L | 67 - 93 |
| 2025-11-20 | vs | Tiffin | L | 82 - 85 |
| 2025-11-22 | vs | Hillsdale | L | 50 - 59 |
| 2025-11-24 | vs | Malone | L | 63 - 69 |
| 2025-12-04 | @ | Grand Valley St. | L | 39 - 89 |
| 2025-12-06 | @ | Davenport | L | 59 - 74 |
| 2025-12-15 | vs | Walsh | W | 65 - 59 |
| 2025-12-20 | @ | Upper Iowa | W | 65 - 62 |
| 2026-01-02 | vs | Purdue Northwest | L | 66 - 70 |
| 2026-01-10 | @ | Roosevelt | W | 57 - 52 |
| 2026-01-15 | vs | Northern Mich. | L | 61 - 80 |
| 2026-01-17 | vs | Michigan Tech | L | 57 - 68 |
| 2026-01-22 | @ | Saginaw Valley | W | 79 - 73 |
| 2026-01-24 | @ | Ferris St. | L | 59 - 90 |
| 2026-01-29 | vs | Roosevelt | L | 68 - 75 |
| 2026-01-31 | vs | Wis.-Parkside | L | 52 - 62 |
| 2026-02-05 | @ | Michigan Tech | L | 76 - 89 |
| 2026-02-07 | @ | Northern Mich. | L | 49 - 76 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kadyn Blanchard | - | 1 | 22.0 | 25.0 | 3.0 | 3.0 | 4.0 | 0.0 | 0.0 | 12.0 | 23.0 | 143 | 8.4 | 43.4 | 75.0 | 60.0 | 100.0 | 0.33 | 90.8 | 87.5 |
| Mya Hiram | - | 1 | 25.0 | 16.0 | 10.0 | 6.0 | 6.0 | 0.0 | 4.0 | 11.0 | 23.0 | 105 | 6.2 | 41.0 | 54.5 | 0.0 | 100.0 | 0.52 | 62.7 | 54.5 |
| Grace Bradford | - | 18 | 33.2 | 15.2 | 10.4 | 2.6 | 1.3 | 0.6 | 3.3 | 13.6 | 13.2 | -72 | -3.4 | -13.4 | 45.1 | 20.7 | 69.5 | -1.46 | 50.6 | 47.5 |
| Dara Capaldi | - | 17 | 30.2 | 12.6 | 5.6 | 1.5 | 1.2 | 0.6 | 3.7 | 9.2 | 8.6 | -10 | -0.5 | -2.2 | 48.1 | 31.0 | 64.7 | 0.23 | 55.3 | 51.0 |
| Emma Schierbeek | - | 1 | 18.0 | 12.0 | 1.0 | 2.0 | 2.0 | 0.0 | 1.0 | 9.0 | 7.0 | 84 | 4.9 | 49.2 | 55.6 | 33.3 | 100.0 | 0.9 | 63.6 | 61.1 |
| Clare Conzelmann | - | 18 | 30.0 | 8.1 | 2.3 | 1.2 | 1.3 | 0.6 | 1.6 | 9.6 | 2.3 | -58 | -2.8 | -11.7 | 26.7 | 26.0 | 67.7 | 1.24 | 39.3 | 36.3 |
| Seyyane Matthew | - | 18 | 24.8 | 7.5 | 5.5 | 1.1 | 0.4 | 1.5 | 2.6 | 6.3 | 7.1 | -50 | -2.4 | -11.4 | 44.7 | 42.9 | 73.0 | 2.01 | 51.8 | 47.4 |
| Mia Riley | - | 1 | 18.0 | 7.0 | 1.0 | 3.0 | 0.0 | 0.0 | 4.0 | 4.0 | 3.0 | 129 | 7.6 | 42.9 | 25.0 | 50.0 | 66.7 | 1.2 | 52.7 | 37.5 |
| Mara Mitchell | - | 1 | 13.0 | 7.0 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 4.0 | 7.0 | 52 | 3.2 | 35.3 | 75.0 | 100.0 | 0 | 0.75 | 87.5 | 87.5 |
| Elle Irwin | - | 1 | 23.0 | 7.0 | 4.0 | 3.0 | 2.0 | 0.0 | 2.0 | 3.0 | 11.0 | 190 | 11.2 | 58.2 | 33.3 | 33.3 | 100.0 | 2.63 | 73.5 | 50.0 |
| Charlotte Miller | - | 1 | 13.0 | 6.0 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 4.0 | 7.0 | 41 | 2.4 | 14.1 | 50.0 | 50.0 | 0 | -1.48 | 75.0 | 75.0 |
| Chloe Watson | - | 17 | 19.8 | 5.6 | 1.4 | 1.2 | 0.2 | 0.1 | 1.6 | 6.3 | 0.6 | -46 | -2.3 | -14.8 | 30.8 | 22.4 | 75.0 | -1.72 | 41.5 | 37.9 |
| Lara Aguzzi | - | 18 | 20.9 | 4.8 | 2.0 | 0.8 | 0.6 | 0.4 | 1.8 | 4.0 | 2.7 | -56 | -2.7 | -14.3 | 37.5 | 42.5 | 76.2 | -2.28 | 53.5 | 49.3 |
| Melena Glysch | - | 1 | 13.0 | 4.0 | 6.0 | 2.0 | 3.0 | 0.0 | 2.0 | 2.0 | 11.0 | 40 | 2.9 | 47.0 | 50.0 | 0.0 | 50.0 | 1.61 | 53.2 | 50.0 |
| Grace Lyons | - | 1 | 14.0 | 4.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | 1.0 | 25 | 1.6 | 18.8 | 25.0 | 33.3 | 50.0 | -1.84 | 41.0 | 37.5 |
| Lauren Wilder | - | 14 | 13.3 | 3.4 | 2.1 | 0.1 | 0.3 | 0.1 | 0.6 | 2.6 | 2.9 | -49 | -2.9 | -79.8 | 44.4 | 50.0 | 65.2 | 0.69 | 52.0 | 45.8 |
| Halen McLaughlin | - | 11 | 7.6 | 2.9 | 1.0 | 0.5 | 0.4 | 0.0 | 0.4 | 2.8 | 1.6 | -46 | -3.5 | -42.7 | 32.3 | 29.4 | 63.6 | -2.89 | 44.6 | 40.3 |
| Makenna Clement | - | 13 | 13.1 | 2.7 | 2.7 | 0.8 | 0.4 | 0.1 | 1.2 | 2.2 | 3.4 | -44 | -2.8 | -73.9 | 50.0 | 14.3 | 75.0 | -0.07 | 55.5 | 51.8 |
| Malia Thelen | - | 18 | 15.5 | 2.2 | 1.2 | 1.6 | 0.9 | 0.1 | 1.6 | 2.8 | 1.6 | -51 | -2.5 | -28.0 | 29.4 | 20.0 | 45.5 | -0.44 | 35.8 | 34.3 |
| Kenzie Garner | - | 1 | 11.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | -1.0 | 17 | 4.2 | 50.8 | 25.0 | 0.0 | 0 | 0.31 | 25.0 | 25.0 |
| Katelyn Baney | - | 4 | 3.5 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | -0.2 | -7 | -1.4 | -31.4 | 20.0 | 0.0 | 50.0 | -0.67 | 25.5 | 20.0 |
| Maddie Bradford | - | 9 | 5.6 | 0.7 | 0.9 | 0.1 | 0.0 | 0.2 | 0.2 | 0.2 | 1.4 | -27 | -2.5 | -48.5 | 50.0 | 0 | 66.7 | -2.26 | 64.7 | 50.0 |
| Lena Pleaugh | - | 2 | 2.0 | 0.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.0 | 0 | 0.0 | 0.0 | 0.0 | 0 | 50.0 | -0.44 | 26.6 | 0.0 |
| Charley Woodman | - | 2 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.5 | - | - | - | 0.0 | 0 | 0.0 | 0.19 | 0.0 | 0.0 |
| Ally Schultz | - | 1 | 9.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 23 | 1.4 | 18.4 | 0.0 | 0.0 | 0 | 0.89 | 0.0 | 0.0 |
| Alyssa Wirth | - | 1 | 8.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 1.0 | 1.0 | 1.0 | -17 | -1.5 | -22.6 | 0.0 | 0 | 0 | -1.36 | 0.0 | 0.0 |
| Claire Erickson | - | 1 | 13.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -69 | -3.8 | -16.7 | 0 | 0 | 0 | -0.6 | 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