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Neb. Wesleyan

Also known as: Neb. Wesleyan
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 → 686 (#589) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 790 (#531) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 805 (#684) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -12.9 (#337) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -18.5 (#590) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.013 (#706) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +18.9 More → 0.938 (#135) NetEff +18.9
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -12.7 More → 0.153 (#466) NetEff -12.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -30.8 More → 0.027 (#632) AdjNet -30.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -30.7 More → 0.025 (#632) AdjNet -30.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 51.6 | AdjD 70.1 More → 0.157 (#623) AdjO 51.6 | AdjD 70.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 52.6 | AdjD 66.5 More → 0.220 (#653) AdjO 52.6 | AdjD 66.5
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 → 0.159 (#627) 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 → 0.154 (#637) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 23 More → 741 (#524) RD 101 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs McPherson - Incomplete score
2025-11-12 @ St. Mary (NE) - Incomplete score
2025-11-15 @ Cornell College - Incomplete score
2025-11-16 @ Saint Benedict - Incomplete score
2025-11-19 @ South Dakota Mines - Incomplete score
2025-11-22 @ Graceland (IA) - Incomplete score
2025-11-24 vs Bellevue - Incomplete score
2025-12-03 vs Central (IA) - Incomplete score
2025-12-13 vs Coe - Incomplete score
2025-12-20 vs Kansas Christian - Incomplete score
2025-12-22 @ Hastings - Incomplete score
2025-12-31 vs Grinnell - Incomplete score
2026-01-10 vs Dubuque - Incomplete score
2026-01-17 vs Loras - Incomplete score
2026-01-21 @ Buena Vista - Incomplete score
2026-01-24 vs Luther - Incomplete score
2026-01-28 @ Central (IA) - Incomplete score
2026-01-31 @ Coe - Incomplete score
2026-02-04 @ Simpson - Incomplete score
2026-02-07 vs Wartburg - 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%
Anastyn Pettlon - 19 31.0 13.3 2.6 2.4 1.7 0.2 3.4 13.4 3.2 -61 -3.2 -22.5 36.9 34.0 59.3 2.39 47.2 46.3
Brynn Sebek - 17 27.5 9.6 2.2 1.8 1.1 0.2 1.4 8.2 5.4 -63 -3.5 -58.3 35.7 33.7 85.3 0.53 52.9 48.2
Peyton Tritz - 19 31.5 9.4 2.9 3.1 1.3 0.1 2.9 9.5 4.4 -147 -7.7 -46.6 29.4 29.0 69.2 -3.95 42.7 36.9
Carney Black - 19 30.6 9.1 8.4 1.3 1.0 0.6 2.1 8.2 10.1 -95 -5.0 -30.6 44.5 14.8 75.0 0.37 49.8 45.8
Maddie Demke - 19 28.6 5.6 2.5 2.5 1.9 0.0 1.6 4.7 6.1 -118 -6.2 -39.0 38.9 25.6 70.3 -0.28 49.9 44.4
Alison Davis - 19 18.4 4.4 5.0 0.6 0.2 0.3 1.4 5.3 3.8 -90 -4.7 -52.7 36.6 0 62.5 -3.35 38.9 36.6
Rhyanne Mackling - 19 12.1 3.3 1.6 0.5 0.4 0.1 1.2 4.1 0.7 -80 -4.2 -54.3 31.2 0.0 57.7 -3.53 35.6 31.2
Breeley King - 7 12.5 2.9 2.7 0.6 0.4 0.1 1.1 2.4 3.1 - - - 47.1 0 40.0 -0.78 46.7 47.1
Mackenzie Griffin - 1 5.2 2.0 0.0 0.0 0.0 0.0 0.0 2.0 0.0 - - - 50.0 0.0 0 - 50.0 50.0
Mary Webber - 13 6.5 1.7 0.5 0.4 0.2 0.0 0.5 1.8 0.6 -23 -1.6 -26.0 34.8 31.2 50.0 -1.1 46.1 45.7
Anisten Barnett - 12 7.4 1.6 1.4 0.3 0.1 0.0 0.7 1.6 1.2 -15 -1.2 -19.1 36.8 50.0 33.3 -1.29 39.1 39.5
Kiara Burnell - 5 2.2 0.8 0.0 0.2 0.0 0.0 0.0 0.6 0.4 -14 -2.8 -137.1 66.7 0 0 - 66.7 66.7
Caroline Eastman - 17 7.3 0.5 1.0 0.2 0.5 0.2 0.2 0.6 1.6 -33 -1.9 -29.9 30.0 30.0 0 -4.02 45.0 45.0
Tessa Hurlburt - 10 4.3 0.5 0.0 0.1 0.1 0.0 0.4 1.0 -0.7 -39 -3.9 -89.7 10.0 12.5 100.0 -4.23 23.0 15.0
Jaedyn Ratzlaff - 1 0.6 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 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