🐻⬇️🏀

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 → 859 (#472) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1002 (#277) -
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 +2.9 More → +13.9 (#84) HCA +2.9
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 (#243) 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 → 922 (#336) RD 92 | GP 25

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ Utah - Incomplete score
2025-11-14 vs Northwest Mo. St. - Incomplete score
2025-11-15 vs Fort Hays St. - Incomplete score
2025-11-18 vs Neb.-Kearney - Incomplete score
2025-11-21 vs South Dakota Mines - Incomplete score
2025-11-22 vs Black Hills St. - Incomplete score
2025-11-25 vs Southwest Minn. St. - Incomplete score
2025-12-03 @ Wayne St. (NE) - Incomplete score
2025-12-06 vs Augustana (SD) - Incomplete score
2025-12-13 @ Winona St. - Incomplete score
2025-12-14 @ Concordia-St. Paul - Incomplete score
2025-12-20 vs Minnesota St. - Incomplete score
2026-01-03 @ Southwest Minn. St. - Incomplete score
2026-01-10 @ Bemidji St. - Incomplete score
2026-01-16 vs Mary - Incomplete score
2026-01-17 vs Minot St. - Incomplete score
2026-01-23 vs Minn.-Crookston - Incomplete score
2026-01-24 vs MSU Moorhead - Incomplete score
2026-01-30 @ Northern St. - Incomplete score
2026-01-31 @ Jamestown - Incomplete score
2026-02-05 @ Minnesota St. - Incomplete score
2026-02-07 @ St. Cloud St. - Incomplete score

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 - 21 34.5 19.3 7.9 1.7 1.3 0.3 3.0 17.0 10.6 24 1.0 3.4 41.0 38.1 88.4 2.54 52.5 48.5
Krista Langager - 21 24.7 15.4 7.4 0.5 0.4 1.0 1.8 11.3 11.6 77 3.2 15.6 59.7 0.0 59.7 3.61 60.6 59.7
Alexis Rose - 21 32.3 12.5 3.8 2.9 1.7 0.1 2.4 9.8 8.7 50 2.1 7.2 44.2 38.0 72.5 2.84 55.4 51.5
Ayla Brown - 21 37.1 9.7 4.5 5.4 2.0 0.0 3.4 8.1 10.0 -18 -0.8 -2.5 44.4 28.9 80.0 -0.49 52.6 47.7
Danielle Minsaas - 11 25.3 6.6 3.5 2.9 1.1 0.1 1.5 5.2 7.5 12 1.0 16.1 43.9 47.1 68.2 -1.14 54.7 50.9
Rease Murtaugh - 21 17.7 4.3 1.4 1.3 1.2 0.0 1.0 4.1 3.2 -18 -0.8 -4.5 33.7 32.8 81.2 -1.87 48.9 45.3
Gracie Traphagen - 21 16.3 3.4 2.0 0.4 0.3 0.1 0.5 3.1 2.5 -80 -3.3 -23.4 35.4 28.8 100.0 -2.13 51.2 46.9
Landree Wilson - 21 10.9 2.1 1.6 0.3 0.2 0.0 0.7 2.0 1.5 10 0.4 3.6 33.3 28.6 76.9 -0.26 46.1 40.5
Brooklyn Harpe - 17 6.8 1.5 1.9 0.4 0.2 0.1 0.4 0.8 2.9 -15 -0.8 -8.3 57.1 66.7 66.7 -0.39 67.4 64.3
Olivia Hayenga - 4 8.8 1.5 1.0 0.2 0.0 0.2 1.0 1.5 0.5 -1 -0.2 -2.2 33.3 0.0 66.7 -0.82 41.0 33.3
Dani Coleman - 4 5.5 1.0 1.0 0.0 0.0 0.0 0.8 1.2 0.0 2 0.4 4.8 40.0 0.0 0.0 -1.79 34.0 40.0
Hannah Harpe - 6 2.5 0.8 0.2 0.0 0.2 0.2 0.0 0.8 0.5 -5 -0.8 -18.8 40.0 100.0 0 - 50.0 50.0
Anna Fronk - 17 5.9 0.8 0.2 0.1 0.2 0.0 0.4 1.2 -0.2 -30 -1.6 -25.1 20.0 20.0 75.0 -0.89 32.2 27.5
Maya Dolliver - 5 3.2 0.4 0.4 0.4 0.0 0.0 0.4 0.4 0.4 -2 -0.4 -9.6 50.0 0 0 - 50.0 50.0

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