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UW-River Falls

Also known as: UW-River 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 → 1037 (#151) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1137 (#97) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1104 (#92) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +18.7 (#38) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +12.4 (#189) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.591 (#411) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +5.7 More → 0.688 (#282) NetEff +5.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +25.6 More → 0.951 (#166) AdjNet +25.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +25.9 More → 0.954 (#167) AdjNet +25.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.7 | AdjD 53.1 More → 0.791 (#184) AdjO 67.7 | AdjD 53.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.4 | AdjD 54.1 More → 0.700 (#124) AdjO 63.4 | AdjD 54.1
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 → 0.793 (#134) 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 → 0.786 (#134) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 21 More → 1245 (#45) RD 99 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Calvin W 59 - 43
2025-11-08 vs Hope L 41 - 58
2025-11-12 @ Central (IA) W 61 - 40
2025-11-15 @ Concordia-M'head L 57 - 64
2025-11-19 @ Gustavus Adolphus L 52 - 55
2025-11-22 vs Minn.-Morris W 60 - 52
2025-11-25 vs St. Catherine W 47 - 40
2025-11-29 @ Carthage W 76 - 65
2025-12-10 @ Edgewood W 70 - 41
2025-12-13 @ Bethel (MN) L 67 - 73
2026-01-10 @ Wis.-Whitewater L 54 - 68
2026-01-14 @ Wis.-Eau Claire W 71 - 52
2026-01-17 vs Wis.-Oshkosh L 33 - 65
2026-01-21 vs Wis.-Stevens Point W 54 - 51
2026-01-24 @ Wis.-Platteville W 62 - 60
2026-01-28 @ Wis.-La Crosse L 65 - 78
2026-02-04 vs Wis.-Eau Claire W 68 - 61
2026-02-07 @ Wis.-Oshkosh L 47 - 69

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%
Zoey Buchan - 18 29.1 14.4 2.8 2.6 1.2 0.1 2.1 10.3 8.7 39 1.9 8.9 41.1 38.8 82.4 1.01 57.8 50.0
Olivia Hoerl - 5 23.9 12.0 7.2 1.0 0.8 0.2 1.8 12.0 7.4 7 1.4 4.2 36.7 20.0 87.5 0.81 44.7 38.3
Emily Anderson - 18 23.8 9.1 2.9 0.8 0.6 0.5 0.5 7.4 5.9 -16 -0.8 -5.0 41.0 35.9 66.7 -0.37 55.4 53.4
Taylor Clarey - 15 24.6 7.4 3.1 1.5 1.2 0.2 2.1 8.9 2.3 -36 -2.2 -9.5 27.8 17.4 55.6 -1.12 36.3 32.3
Savannah Leopold - 18 19.6 5.9 1.9 1.4 0.7 0.1 2.1 6.7 1.3 45 2.1 13.9 29.2 28.4 80.0 1.97 41.5 37.9
Olivia Boily - 17 18.6 5.5 4.9 0.6 0.5 0.4 1.0 5.5 5.3 35 1.8 14.7 42.6 0 56.5 2.55 44.7 42.6
Jocelyn Plonski - 18 17.8 3.9 4.5 1.5 0.6 0.3 1.6 3.7 5.6 3 0.1 1.1 37.9 0 63.6 -1.71 44.1 37.9
Braelyn Beiler - 18 13.5 3.7 0.8 0.4 0.5 0.1 0.3 3.8 1.4 30 1.4 17.1 36.2 31.9 100.0 1.3 47.9 47.1
Mari Ryberg - 5 17.0 3.4 2.4 0.6 0.6 0.2 1.4 3.8 2.0 11 2.2 9.6 36.8 33.3 0 0.11 44.7 44.7
Sidney Schmit - 17 22.6 1.8 2.6 1.2 1.6 0.1 0.9 2.9 3.5 94 4.7 53.6 22.4 21.4 40.0 2.7 29.3 28.6
Annamarie Aue - 17 14.8 1.7 2.1 0.6 0.6 0.2 0.6 2.3 2.4 34 1.7 16.2 28.2 25.0 12.5 0.42 34.1 35.9
Kinsey Gracey - 5 3.4 1.4 0.2 0.2 0.0 0.0 0.2 0.8 0.8 8 1.1 143.3 50.0 50.0 100.0 0.09 71.7 62.5
Emily Kulstad - 13 9.1 1.3 1.4 0.8 0.3 0.2 1.0 1.8 1.2 4 0.2 3.8 26.1 0.0 71.4 0.72 32.6 26.1
Madisyn Berggren - 10 3.8 0.8 1.1 0.0 0.0 0.0 0.2 1.1 0.6 18 1.4 77.7 27.3 50.0 0 -1.3 36.4 36.4
Sammie Buss - 6 3.2 0.5 0.3 0.2 0.3 0.0 0.5 0.3 0.5 2 0.2 35.8 50.0 100.0 0 0.09 75.0 75.0
Sierra LaBuwi - 3 1.3 0.3 0.0 0.0 0.7 0.0 0.0 0.3 0.7 -4 -0.8 -71.6 0.0 0 50.0 0.09 26.6 0.0
Emma Adleman - 3 2.6 0.0 0.3 0.0 0.0 0.0 0.7 0.3 -0.7 1 0.5 20.7 0.0 0.0 0 -0.1 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