🐻⬇️🏀

Sioux Falls

Also known as: Sioux Falls
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 → 889 (#457) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1020 (#254) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 923 (#589) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +13.3 (#56) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +10.8 (#199) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.494 (#365) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -3.3 More → 0.404 (#300) NetEff -3.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +17.3 More → 0.880 (#221) AdjNet +17.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +17.9 More → 0.892 (#216) AdjNet +17.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.5 | AdjD 60.9 More → 0.741 (#216) AdjO 72.5 | AdjD 60.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.8 | AdjD 64.2 More → 0.580 (#196) AdjO 67.8 | AdjD 64.2
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 → 0.654 (#229) 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 → 0.629 (#244) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 92 | GP 25 More → 919 (#347) RD 92 | GP 25

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Utah L 62 - 88
2025-11-14 vs Northwest Mo. St. L 64 - 75
2025-11-15 vs Fort Hays St. L 75 - 84
2025-11-18 vs Neb.-Kearney W 62 - 51
2025-11-21 vs South Dakota Mines W 84 - 59
2025-11-22 vs Black Hills St. W 69 - 66
2025-11-25 vs Southwest Minn. St. W 92 - 80
2025-12-03 @ Wayne St. (NE) W 77 - 54
2025-12-06 vs Augustana (SD) W 76 - 66
2025-12-13 @ Winona St. L 68 - 77
2025-12-14 @ Concordia-St. Paul W 79 - 77
2025-12-20 vs Minnesota St. L 82 - 93
2026-01-03 @ Southwest Minn. St. L 79 - 87
2026-01-10 @ Bemidji St. L 70 - 76
2026-01-16 vs Mary L 79 - 83
2026-01-17 vs Minot St. L 65 - 83
2026-01-23 vs Minn.-Crookston W 100 - 64
2026-01-24 vs MSU Moorhead W 77 - 65
2026-01-30 @ Northern St. L 72 - 73
2026-01-31 @ Jamestown L 53 - 57
2026-02-05 @ Minnesota St. L 52 - 75
2026-02-07 @ St. Cloud St. L 56 - 72

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%
Anna Vaaler - 22 34.2 19.1 7.7 1.6 1.3 0.3 3.0 16.7 10.4 24 1.0 3.4 41.1 37.8 87.7 1.02 52.6 48.5
Krista Langager - 22 23.9 15.1 7.1 0.5 0.5 0.9 1.7 11.0 11.4 77 3.2 15.6 59.5 0.0 62.0 0.2 60.8 59.5
Alexis Rose - 22 32.1 12.4 3.7 2.8 1.6 0.1 2.4 9.7 8.5 50 2.1 7.2 43.9 39.3 71.8 2.29 55.5 51.6
Ayla Brown - 22 36.6 9.2 4.3 5.3 1.9 0.0 3.3 8.0 9.5 -18 -0.8 -2.5 43.4 26.8 80.0 -0.2 51.5 46.6
Kami Wadsworth - 1 27.7 7.0 2.0 2.0 1.0 0.0 0.0 16.0 -4.0 - - - 18.8 0.0 50.0 - 20.7 18.8
Danielle Minsaas - 12 25.0 6.2 3.7 2.7 1.0 0.1 1.4 4.8 7.4 12 1.0 16.1 43.1 47.1 70.8 -1.6 54.7 50.0
Rease Murtaugh - 22 17.3 4.3 1.4 1.3 1.3 0.0 1.0 4.0 3.3 -18 -0.8 -4.5 34.5 32.8 77.8 0.65 49.5 46.0
Gracie Traphagen - 22 15.9 3.2 1.9 0.5 0.3 0.1 0.6 3.0 2.4 -80 -3.3 -23.4 34.8 28.3 100.0 -1.15 50.4 46.2
Landree Wilson - 22 11.1 2.5 1.5 0.3 0.2 0.0 0.8 2.2 1.7 10 0.4 3.6 39.6 31.8 76.9 1.53 51.2 46.9
Olivia Hayenga - 5 8.9 1.8 1.0 0.2 0.0 0.2 1.0 1.4 0.8 -1 -0.2 -2.2 42.9 20.0 66.7 0.66 54.1 50.0
Brooklyn Harpe - 18 6.7 1.6 1.8 0.3 0.2 0.1 0.4 0.9 2.7 -15 -0.8 -8.3 50.0 66.7 71.4 -2.73 63.2 56.2
Dani Coleman - 5 5.3 1.2 0.8 0.0 0.0 0.2 0.6 1.2 0.4 2 0.4 4.8 33.3 0.0 50.0 -0.06 38.7 33.3
Anna Fronk - 18 5.9 0.8 0.2 0.1 0.2 0.0 0.3 1.2 -0.2 -30 -1.6 -25.1 19.0 18.8 75.0 -0.55 30.8 26.2
Hannah Harpe - 7 2.4 0.7 0.1 0.0 0.1 0.1 0.0 0.7 0.4 -5 -0.8 -18.8 40.0 100.0 0 -0.32 50.0 50.0
Maya Dolliver - 6 2.9 0.3 0.5 0.3 0.0 0.0 0.3 0.5 0.3 -2 -0.4 -9.6 33.3 0.0 0 -0.11 33.3 33.3

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