Minn.-Morris
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 → | 997 (#249) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 913 (#450) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1058 (#160) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.5 (#185) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -5.0 (#430) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.436 (#479) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.280 (#422) | NetEff -7.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.307 (#449) | AdjNet -7.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.302 (#442) | AdjNet -7.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.367 (#464) | AdjO 61.9 | AdjD 67.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.502 (#387) | AdjO 66.0 | AdjD 66.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.472 (#402) | 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 → | 0.489 (#399) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1084 (#200) | RD 160 | GP 5 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | @ | Crown (MN) | W | 73 - 39 |
| 2026-01-24 | vs | Wis.-Superior | W | 59 - 48 |
| 2026-01-28 | vs | Bethany Lutheran | L | 63 - 71 |
| 2026-02-04 | vs | Crown (MN) | W | 71 - 70 |
| 2026-02-07 | vs | Northwestern-St. Paul | W | 81 - 69 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Maddy Grove | - | 5 | 31.5 | 21.6 | 2.2 | 2.2 | 2.2 | 0.8 | 1.4 | 20.0 | 7.6 | -51 | -2.4 | -8.5 | 48.0 | 22.2 | 90.9 | -0.4 | 51.5 | 49.0 |
| Gianna Klarenbeek | - | 4 | 27.4 | 11.8 | 5.0 | 5.2 | 1.2 | 0.2 | 4.0 | 7.8 | 11.8 | -40 | -2.0 | -8.5 | 54.8 | 46.7 | 75.0 | -0.43 | 68.1 | 66.1 |
| Grace Perry | - | 5 | 32.4 | 10.8 | 5.6 | 3.6 | 1.2 | 0.2 | 1.6 | 8.4 | 11.4 | 22 | 1.2 | 3.7 | 47.6 | 41.7 | 66.7 | -0.22 | 60.5 | 59.5 |
| Shelby Mortenson | - | 5 | 24.4 | 10.2 | 5.6 | 0.8 | 0.0 | 3.8 | 0.4 | 8.2 | 11.8 | -8 | -0.4 | -2.1 | 58.5 | 0 | 42.9 | 3.51 | 57.8 | 58.5 |
| Brooke Ver Steeg | - | 5 | 15.4 | 4.6 | 3.2 | 1.0 | 1.8 | 0.2 | 1.2 | 4.6 | 5.0 | -3 | -0.1 | -1.2 | 26.1 | 20.0 | 71.4 | 1.16 | 39.4 | 28.3 |
| Claire Stark | - | 5 | 21.5 | 4.6 | 3.0 | 0.6 | 0.2 | 0.6 | 1.6 | 4.2 | 3.2 | -52 | -2.5 | -11.1 | 38.1 | 0 | 70.0 | -3.12 | 45.3 | 38.1 |
| Anna Myers | - | 5 | 15.5 | 2.8 | 1.8 | 1.0 | 1.0 | 0.2 | 0.8 | 5.6 | 0.4 | -57 | -2.7 | -22.1 | 17.9 | 14.3 | 100.0 | -1.01 | 24.2 | 21.4 |
| Itzel Salazar | - | 5 | 14.0 | 2.6 | 2.2 | 1.4 | 0.8 | 0.0 | 0.8 | 2.2 | 4.0 | -18 | -0.9 | -6.7 | 36.4 | 33.3 | 66.7 | 0.99 | 47.7 | 40.9 |
| Reece Wassink | - | 3 | 7.5 | 2.0 | 0.0 | 1.0 | 0.7 | 0.0 | 0.7 | 2.7 | 0.3 | -25 | -1.8 | -49.9 | 37.5 | 0.0 | 0 | -3.26 | 37.5 | 37.5 |
| Taylor Johnson | - | 3 | 6.5 | 1.3 | 1.3 | 1.0 | 0.0 | 0.0 | 0.3 | 1.0 | 2.3 | 18 | 1.2 | 40.9 | 66.7 | 0.0 | 0 | 1.05 | 66.7 | 66.7 |
| Gabby Randt | - | 5 | 13.4 | 0.8 | 5.0 | 1.0 | 0.6 | 0.2 | 0.4 | 1.0 | 6.2 | 24 | 1.2 | 9.4 | 40.0 | 0 | 0.0 | 1.23 | 34.0 | 40.0 |
| Mckenna McIlonie | - | 1 | 3.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -3 | -0.3 | -28.5 | 0 | 0 | 0 | -0.28 | 0 | 0 |
| Kylee Dingwall | - | 1 | 3.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 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