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Southwest Minn. St.

Also known as: Southwest Minn. St.
Program History

Model Outputs

2025-2026
Catalog

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 → 1124 (#75) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1131 (#71) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1025 (#215) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +18.5 (#28) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +16.5 (#127) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.842 (#218) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.3 More → 0.622 (#239) NetEff +4.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +30.1 More → 0.970 (#122) AdjNet +30.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +30.6 More → 0.974 (#121) AdjNet +30.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.5 | AdjD 61.6 More → 0.870 (#112) AdjO 82.5 | AdjD 61.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.0 | AdjD 64.1 More → 0.693 (#90) AdjO 73.0 | AdjD 64.1
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.786 (#112) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.768 (#121) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 23 More → 1057 (#180) RD 94 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs UAH L 65 - 70
2025-11-08 @ Tampa W 63 - 62
2025-11-14 @ Central Okla. W 66 - 51
2025-11-15 @ Washburn L 59 - 63
2025-11-25 @ Sioux Falls L 80 - 92
2025-11-30 vs Northern St. L 79 - 81
2025-12-04 @ Augustana (SD) W 75 - 47
2025-12-06 vs Wayne St. (NE) W 84 - 58
2025-12-13 @ Concordia-St. Paul W 70 - 67
2025-12-14 @ Winona St. L 78 - 84
2025-12-19 vs Minnesota St. L 49 - 94
2025-12-20 vs St. Cloud St. W 75 - 64
2026-01-03 vs Sioux Falls W 87 - 79
2026-01-10 @ Minn. Duluth L 65 - 69
2026-01-16 vs Minot St. W 92 - 73
2026-01-17 vs Mary W 89 - 75
2026-01-23 vs MSU Moorhead W 61 - 53
2026-01-24 vs Minn.-Crookston W 76 - 66
2026-01-30 @ Jamestown W 88 - 74
2026-01-31 @ Northern St. L 66 - 74
2026-02-05 @ St. Cloud St. L 67 - 82
2026-02-07 @ Minnesota St. L 71 - 79

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%
Audrey Swanson - 21 31.2 17.0 7.8 2.8 1.4 0.4 2.8 14.5 12.1 80 3.6 10.6 43.9 35.8 81.2 1.2 53.7 50.2
Nicole Maenke - 22 31.8 14.5 2.8 2.8 0.5 0.1 2.3 10.7 7.7 88 3.8 10.6 44.5 34.1 91.4 -0.4 60.0 54.2
Kylan Gerads - 22 29.8 13.5 6.5 1.2 0.9 0.4 3.1 10.8 8.5 -5 -0.2 -0.7 46.2 39.5 73.7 0.35 56.3 53.4
Natalie Nielsen - 20 25.4 13.2 8.7 0.8 0.9 0.9 1.6 8.6 14.4 71 3.4 10.3 56.1 36.8 90.4 -0.03 65.2 58.2
Brynn Busse - 22 20.0 4.6 1.9 1.9 0.8 0.1 1.7 3.8 3.8 31 1.3 7.7 42.2 40.7 83.3 0.66 57.8 55.4
Maddie Thorfinnson - 22 33.7 4.5 2.1 2.9 0.7 0.4 1.5 4.2 4.8 68 3.0 9.1 31.2 33.3 63.0 2.31 46.7 43.5
Allie Haabala - 22 14.3 3.5 1.0 1.0 0.5 0.0 2.1 2.9 1.1 -7 -0.3 -1.9 44.4 39.1 61.1 1.28 53.6 51.6
Elizabeth Wagner - 20 11.1 2.7 3.0 0.5 0.5 0.3 0.6 2.1 4.5 17 0.8 7.0 54.8 0.0 66.7 1.61 57.1 54.8
Logan Smidt - 6 2.0 1.7 0.3 0.3 0.2 0.0 0.7 1.0 0.8 7 1.4 210.0 33.3 50.0 100.0 -0.49 64.4 50.0
Brylee Iverson - 9 6.3 1.1 0.8 0.1 0.3 0.3 0.6 1.3 0.8 -3 -0.3 -6.1 25.0 27.3 50.0 -0.3 38.8 37.5
Kennadi Buchholz - 10 3.4 0.8 0.7 0.1 0.0 0.5 0.1 0.7 1.3 14 1.4 420.0 42.9 0.0 100.0 -0.49 50.8 42.9
Christina Wagner - 13 3.3 0.6 1.0 0.2 0.0 0.2 0.1 0.8 1.2 20 1.5 28.7 30.0 25.0 0 1.38 40.0 40.0
Allison Milbrandt - 12 3.6 0.0 0.4 0.2 0.2 0.0 0.2 0.2 0.4 -16 -1.2 -104.1 0.0 0.0 0.0 -2.25 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