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Wayne St. (NE)

Also known as: Wayne St. (NE)
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 → 981 (#317) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1042 (#208) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 982 (#486) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +7.2 (#104) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +8.0 (#237) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.395 (#403) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.4 More → 0.644 (#232) NetEff +4.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.8 More → 0.796 (#275) AdjNet +11.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +12.5 More → 0.814 (#273) AdjNet +12.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.4 | AdjD 58.5 More → 0.673 (#274) AdjO 66.4 | AdjD 58.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.3 | AdjD 66.3 More → 0.545 (#265) AdjO 68.3 | AdjD 66.3
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 → 0.650 (#231) 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 → 0.630 (#241) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 13 More → 992 (#261) RD 109 | GP 13

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-01-21 vs Minn.-Crookston L 59 - 68
2026-01-22 @ Michigan Tech W 86 - 83
2026-01-23 @ Mary L 87 - 91
2026-01-24 @ Minot St. L 61 - 68
2026-01-24 @ Northern Mich. L 71 - 91
2026-01-29 vs Purdue Northwest W 89 - 68
2026-01-30 vs Minn. Duluth L 56 - 83
2026-01-31 vs Bemidji St. W 61 - 50
2026-01-31 @ Ferris St. L 71 - 86
2026-02-05 @ Winona St. L 57 - 79
2026-02-05 vs Davenport W 67 - 46
2026-02-07 vs Grand Valley St. W 78 - 77
2026-02-07 @ Concordia-St. Paul L 60 - 81

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%
Mia Riley - 1 33.0 24.0 5.0 3.0 4.0 1.0 4.0 11.0 22.0 129 7.6 42.9 54.5 66.7 100.0 1.2 77.9 63.6
Kadyn Blanchard - 1 34.0 20.0 4.0 1.0 4.0 0.0 4.0 16.0 9.0 143 8.4 43.4 37.5 44.4 100.0 0.33 56.3 50.0
Taylor Thompson - 5 30.2 19.4 7.2 2.8 0.6 0.6 1.2 14.6 14.8 101 4.8 15.1 50.7 33.3 71.4 4.13 56.8 52.7
Anna Westby - 1 25.0 16.0 4.0 1.0 2.0 3.0 2.0 8.0 16.0 -17 -0.7 -3.6 62.5 66.7 80.0 -1.51 78.4 75.0
Mya Hiram - 1 31.0 16.0 7.0 6.0 4.0 0.0 2.0 12.0 19.0 105 6.2 41.0 58.3 0 100.0 0.52 62.1 58.3
Riley Jenkins - 1 21.0 15.0 6.0 2.0 1.0 0.0 2.0 8.0 14.0 -53 -2.3 -10.0 62.5 100.0 100.0 -1.03 80.5 75.0
McKenna Ferguson - 5 29.1 15.0 3.4 2.4 2.4 0.2 2.4 9.6 11.4 112 5.3 17.2 47.9 46.7 78.6 1.92 62.2 55.2
Emma Miller - 1 28.0 12.0 2.0 2.0 3.0 0.0 1.0 13.0 5.0 -84 -3.7 -15.6 23.1 33.3 100.0 -1.47 40.7 30.8
Mara Mitchell - 1 20.0 12.0 3.0 1.0 2.0 0.0 1.0 8.0 9.0 52 3.2 35.3 50.0 66.7 100.0 0.75 67.6 62.5
Kylah vanDonkersgoed - 6 28.0 11.8 5.3 1.0 0.7 0.5 1.2 10.3 7.8 -35 -1.5 -6.0 41.9 46.2 76.5 0.17 51.1 46.8
Gabi Lutchka - 5 28.8 11.6 4.4 2.4 1.2 0.6 1.6 9.6 9.0 97 4.6 19.2 45.8 31.8 63.6 -0.03 54.9 53.1
Tenleigh Smith - 6 24.5 10.0 4.7 1.8 0.5 0.3 3.5 8.8 5.0 -43 -1.9 -7.8 41.5 20.0 87.5 2.49 50.0 43.4
Rachel Dahlen - 6 18.8 9.3 2.5 0.8 1.0 0.5 1.8 8.2 4.2 -39 -1.7 -7.8 46.9 25.0 100.0 -0.04 52.9 48.0
Elle Irwin - 1 34.0 8.0 5.0 6.0 1.0 1.0 1.0 8.0 12.0 190 11.2 58.2 37.5 33.3 0.0 2.63 45.0 50.0
Jaci Tubergen - 5 27.1 6.8 3.8 1.8 0.8 0.0 1.6 4.6 7.0 66 3.1 9.5 43.5 25.0 80.0 -0.14 57.4 47.8
Karrington Gordon - 5 18.8 6.6 2.6 2.0 0.6 0.6 1.2 6.8 4.4 76 3.6 14.1 41.2 23.1 66.7 1.47 46.7 45.6
Kelsey Willems - 6 28.7 6.5 4.3 1.8 1.8 0.0 1.7 6.7 6.2 -50 -2.2 -9.0 32.5 30.8 83.3 -1.6 45.7 42.5
Rayna Klejeski - 1 14.0 6.0 4.0 2.0 1.0 2.0 1.0 5.0 9.0 -10 -0.4 -2.0 40.0 0 100.0 3.67 51.0 40.0
Emma Frost - 6 12.4 5.8 1.5 1.0 0.5 0.5 1.7 3.3 4.3 -94 -4.5 -35.3 65.0 50.0 85.7 -2.69 75.8 72.5
Addy Johnson - 6 10.3 5.8 2.2 0.0 0.7 0.2 0.8 3.8 4.2 -57 -3.0 -39.6 43.5 33.3 83.3 0.0 61.9 54.3
Meg Rietz - 6 22.4 5.3 2.7 1.2 0.5 0.0 2.2 5.5 2.0 -119 -5.2 -22.2 42.4 22.2 100.0 -5.86 47.2 45.5
Koko Sylvester - 5 7.5 4.2 0.8 0.4 0.4 0.4 0.6 2.8 2.8 21 1.1 15.9 50.0 0.0 87.5 -2.12 59.9 50.0
Sammie Allen - 6 16.3 3.7 1.5 1.0 0.7 0.0 0.7 4.0 2.2 -60 -4.0 -30.1 33.3 0.0 54.5 -0.25 38.1 33.3
Annabel Ayrault - 5 14.2 3.4 0.4 1.2 0.2 0.4 0.2 3.0 2.4 81 4.0 27.4 40.0 42.9 100.0 1.4 53.5 50.0
Mackenzie Miller - 5 11.2 3.4 3.0 0.8 0.4 0.6 1.2 2.4 4.6 18 0.9 11.8 66.7 0.0 100.0 -2.34 68.3 66.7
Lily Fitzgerald - 6 16.5 3.2 2.7 0.3 0.8 0.2 1.0 4.2 2.0 -7 -0.3 -2.1 28.0 0.0 83.3 -0.83 34.4 28.0
Halle Winjum - 1 20.0 3.0 2.0 2.0 3.0 0.0 0.0 6.0 4.0 -8 -0.3 -1.9 16.7 25.0 0 2.21 25.0 25.0
Emily Homan - 5 17.8 3.0 3.8 1.2 1.0 0.2 1.4 3.6 4.2 98 4.7 29.0 33.3 33.3 0.0 1.54 40.7 41.7
Lexi Boyke - 5 7.0 2.8 1.8 1.0 0.8 0.2 0.2 2.4 4.0 50 3.3 17.2 41.7 66.7 100.0 1.13 54.3 50.0
Hope Dudycha - 1 10.0 2.0 0.0 0.0 0.0 0.0 1.0 4.0 -3.0 -65 -2.8 -18.6 25.0 0.0 0 -1.78 25.0 25.0
Tayden Hanks - 1 6.0 2.0 1.0 0.0 1.0 0.0 0.0 2.0 2.0 -75 -3.4 -62.7 50.0 0 0 -2.45 50.0 50.0
Charlotte Miller - 1 7.0 2.0 0.0 0.0 0.0 0.0 0.0 2.0 0.0 41 2.4 14.1 50.0 0.0 0 -1.48 50.0 50.0
Claire Erickson - 1 18.0 2.0 3.0 4.0 2.0 1.0 2.0 1.0 9.0 -69 -3.8 -16.7 100.0 0 0 -0.6 100.0 100.0
Ally Schultz - 1 12.0 2.0 2.0 0.0 0.0 0.0 0.0 5.0 -1.0 23 1.4 18.4 20.0 0.0 0 0.89 20.0 20.0
AJ Rickli - 4 3.3 1.5 1.2 0.2 0.0 0.0 0.0 1.2 1.8 -18 -1.1 -33.4 60.0 0 0 -1.04 60.0 60.0
Cassie Allen - 6 19.2 1.3 1.2 0.8 0.8 0.2 1.5 3.3 -0.5 -66 -3.1 -15.9 15.0 9.1 50.0 -0.36 19.2 17.5
Nour Beydoun - 3 3.4 1.3 1.3 0.7 0.0 0.0 0.0 0.0 3.3 -7 -0.7 -16.9 0 0 100.0 -0.15 113.6 0
Ella Sharar - 4 4.2 1.2 0.2 0.0 0.5 0.0 0.2 1.0 0.8 -17 -0.9 -10.8 50.0 0.0 33.3 2.24 47.0 50.0
Taylor Dirkes - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -4 -0.4 -8.6 0 0 0 -0.22 0 0
Natalie Mikrot - 1 10.0 0.0 1.0 4.0 0.0 0.0 2.0 3.0 0.0 -28 -1.6 -18.2 0.0 0.0 0 -0.98 0.0 0.0
Emma Pierson - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -42 -2.5 -42.8 0 0 0 -1.73 0 0
Brynlea Mahlen - 1 9.0 0.0 2.0 1.0 0.0 0.0 0.0 0.0 3.0 -35 -1.5 -18.5 0 0 0 1.49 0 0
DeMaya Asberry - 5 3.7 0.0 0.4 0.8 0.4 0.0 0.6 0.0 1.0 -12 -0.7 -21.4 0 0 0 0.74 0 0
Katelyn Diegnau - 1 1.3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -16 -3.2 -249.4 0 0 0 -0.59 0 0
Emma Schierbeek - 1 11.0 0.0 2.0 2.0 1.0 0.0 1.0 3.0 1.0 84 4.9 49.2 0.0 0.0 0 0.9 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