Minn.-Crookston
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 → | 864 (#477) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 904 (#430) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 984 (#481) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +4.9 (#120) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.5 (#206) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.190 (#494) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.209 (#362) | NetEff -11.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.586 (#364) | AdjNet +3.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.607 (#360) | AdjNet +3.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.533 (#375) | AdjO 71.7 | AdjD 70.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.565 (#220) | AdjO 68.6 | AdjD 65.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.628 (#250) | 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 → | 0.614 (#256) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 948 (#300) | RD 140 | GP 8 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-12-03 | @ | Minn. Duluth | L | 54 - 76 |
| 2026-01-21 | @ | Wayne St. (NE) | W | 68 - 59 |
| 2026-01-23 | @ | Sioux Falls | L | 64 - 100 |
| 2026-01-24 | @ | Southwest Minn. St. | L | 66 - 76 |
| 2026-01-30 | vs | Minnesota St. | L | 70 - 98 |
| 2026-01-31 | vs | St. Cloud St. | L | 67 - 69 |
| 2026-02-05 | @ | Northern St. | W | 68 - 48 |
| 2026-02-07 | @ | Jamestown | W | 86 - 78 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Emma Miller | - | 8 | 31.2 | 15.4 | 3.9 | 1.9 | 2.0 | 0.0 | 2.6 | 14.4 | 6.1 | -84 | -3.7 | -15.6 | 37.4 | 32.0 | 75.0 | -1.47 | 48.3 | 44.3 |
| Rayna Klejeski | - | 8 | 28.9 | 14.8 | 6.6 | 1.8 | 1.4 | 0.4 | 2.6 | 9.0 | 13.2 | -10 | -0.4 | -2.0 | 58.3 | 50.0 | 89.2 | 3.67 | 66.8 | 59.0 |
| Riley Jenkins | - | 8 | 30.5 | 10.4 | 3.5 | 3.5 | 0.9 | 0.2 | 2.4 | 8.2 | 7.9 | -53 | -2.3 | -10.0 | 43.9 | 42.9 | 76.5 | -1.03 | 56.5 | 53.0 |
| Anna Westby | - | 8 | 26.6 | 9.8 | 5.4 | 0.4 | 1.1 | 3.6 | 2.9 | 8.8 | 8.6 | -17 | -0.7 | -3.6 | 44.3 | 27.3 | 76.9 | -1.51 | 51.5 | 48.6 |
| Hope Dudycha | - | 8 | 17.6 | 5.0 | 1.1 | 0.8 | 0.2 | 0.1 | 0.9 | 3.2 | 3.1 | -65 | -2.8 | -18.6 | 50.0 | 42.9 | 88.9 | -1.78 | 66.8 | 61.5 |
| Halle Winjum | - | 8 | 24.0 | 4.5 | 3.6 | 1.8 | 1.6 | 0.1 | 2.1 | 5.0 | 4.5 | -8 | -0.3 | -1.9 | 35.0 | 25.0 | 66.7 | 2.21 | 42.2 | 40.0 |
| Emma Pierson | - | 6 | 6.6 | 2.8 | 0.3 | 0.3 | 0.7 | 0.0 | 0.5 | 2.7 | 1.0 | -42 | -2.5 | -42.8 | 37.5 | 0.0 | 83.3 | -1.73 | 45.6 | 37.5 |
| Natalie Mikrot | - | 8 | 10.4 | 2.4 | 1.0 | 0.6 | 0.2 | 0.0 | 1.1 | 3.2 | -0.1 | -28 | -1.6 | -18.2 | 26.9 | 26.3 | 0 | -0.98 | 36.5 | 36.5 |
| Tayden Hanks | - | 8 | 7.6 | 1.2 | 1.0 | 0.0 | 0.2 | 0.0 | 0.1 | 1.9 | 0.5 | -75 | -3.4 | -62.7 | 26.7 | 0.0 | 100.0 | -2.45 | 31.5 | 26.7 |
| Brynlea Mahlen | - | 8 | 10.2 | 0.9 | 1.9 | 0.6 | 0.8 | 0.1 | 0.4 | 1.0 | 2.9 | -35 | -1.5 | -18.5 | 25.0 | 0.0 | 100.0 | 1.49 | 37.6 | 25.0 |
| Taylor Dirkes | - | 3 | 2.3 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | -4 | -0.4 | -8.6 | 0.0 | 0.0 | 0 | -0.22 | 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