Minot 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 → | 999 (#273) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 999 (#285) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 915 (#599) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +12.7 (#64) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.6 (#252) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.271 (#452) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.812 (#175) | NetEff +11.2 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.383 (#308) | NetEff -4.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.726 (#313) | AdjNet +8.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.743 (#309) | AdjNet +9.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.631 (#304) | AdjO 68.7 | AdjD 62.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.499 (#362) | AdjO 63.5 | AdjD 63.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.576 (#285) | 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 → | 0.556 (#299) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 891 (#383) | RD 138 | GP 6 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-23 | vs | Augustana (SD) | L | 54 - 59 |
| 2026-01-24 | vs | Wayne St. (NE) | W | 68 - 61 |
| 2026-01-30 | @ | Concordia-St. Paul | L | 54 - 75 |
| 2026-01-31 | @ | Winona St. | L | 64 - 74 |
| 2026-02-05 | vs | Bemidji St. | W | 77 - 69 |
| 2026-02-07 | vs | Minn. Duluth | L | 71 - 74 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Taryn Hamling | - | 6 | 32.2 | 14.7 | 3.0 | 0.7 | 2.2 | 0.5 | 1.8 | 12.7 | 6.5 | -85 | -3.7 | -13.4 | 42.1 | 30.4 | 76.9 | -0.24 | 53.8 | 51.3 |
| Jessica Mogen | - | 6 | 28.0 | 11.3 | 4.8 | 2.8 | 1.3 | 0.3 | 3.5 | 8.5 | 8.7 | 3 | 0.1 | 0.5 | 51.0 | 27.3 | 76.5 | 2.88 | 58.1 | 53.9 |
| Tiyahna Trottier | - | 6 | 23.7 | 11.0 | 3.3 | 1.0 | 0.7 | 0.5 | 2.2 | 9.0 | 5.3 | -76 | -3.2 | -14.7 | 44.4 | 30.4 | 78.6 | -1.22 | 54.9 | 50.9 |
| Maya Aguilar | - | 6 | 35.5 | 9.7 | 3.8 | 0.5 | 1.7 | 0.7 | 1.8 | 9.0 | 5.5 | -143 | -6.5 | -22.0 | 37.0 | 33.3 | 100.0 | -0.06 | 52.0 | 50.0 |
| Lara Dobbins | - | 6 | 34.8 | 7.5 | 5.8 | 2.0 | 0.8 | 0.2 | 1.3 | 7.0 | 8.0 | -104 | -4.3 | -16.9 | 40.5 | 15.4 | 69.2 | -0.13 | 47.2 | 42.9 |
| Jaime Skeggs | - | 6 | 19.6 | 5.7 | 3.8 | 1.2 | 0.3 | 0.3 | 1.0 | 5.2 | 5.2 | -97 | -4.6 | -31.7 | 41.9 | 35.7 | 100.0 | -0.58 | 52.6 | 50.0 |
| Maya Vibeto | - | 6 | 14.6 | 3.0 | 1.3 | 0.5 | 0.5 | 0.0 | 0.8 | 3.7 | 0.8 | -93 | -4.7 | -60.0 | 27.3 | 28.6 | 100.0 | -2.03 | 39.3 | 36.4 |
| Grace Kent | - | 4 | 9.2 | 2.0 | 2.0 | 0.5 | 0.0 | 0.0 | 1.2 | 2.5 | 0.8 | -38 | -2.2 | -40.2 | 30.0 | 0.0 | 40.0 | 0.05 | 32.8 | 30.0 |
| Taury Hight | - | 6 | 3.6 | 0.5 | 0.2 | 0.2 | 0.2 | 0.0 | 0.3 | 0.7 | 0.0 | -35 | -1.8 | -62.4 | 25.0 | 0.0 | 100.0 | 1.73 | 33.8 | 25.0 |
| Mia Aberle | - | 4 | 2.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -23 | -2.6 | -94.0 | 0 | 0 | 0 | -1.4 | 0 | 0 |
| Avery Lunde | - | 1 | 1.4 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -2 | -0.5 | -55.8 | 0 | 0 | 0 | 0.11 | 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