🐻⬇️🏀

Washburn

Also known as: Washburn
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 → 1145 (#69) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1160 (#61) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1077 (#91) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +15.3 (#72) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +19.1 (#103) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.660 (#302) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +11.6 More → 0.834 (#165) NetEff +11.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +20.1 More → 0.910 (#197) AdjNet +20.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +21.1 More → 0.923 (#194) AdjNet +21.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.9 | AdjD 59.5 More → 0.772 (#195) AdjO 72.9 | AdjD 59.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.2 | AdjD 51.5 More → 0.761 (#44) AdjO 64.2 | AdjD 51.5
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 → 0.839 (#69) 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 → 0.833 (#62) 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 22 More → 1143 (#78) RD 99 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs St. Cloud St. - Incomplete score
2025-11-15 vs Southwest Minn. St. - Incomplete score
2025-11-21 vs Southwest Baptist - Incomplete score
2025-11-22 vs MSU Denver - Incomplete score
2025-11-28 @ St. Mary's (TX) - Incomplete score
2025-11-29 @ Tex. A&M-Kingsville - Incomplete score
2025-12-04 vs Neb.-Kearney - Incomplete score
2025-12-06 vs Fort Hays St. - Incomplete score
2025-12-13 vs Central Mo. - Incomplete score
2025-12-16 vs Truman St. - Incomplete score
2025-12-19 vs Western Colo. - Incomplete score
2025-12-20 @ Cameron - Incomplete score
2026-01-03 vs Emporia St. - Incomplete score
2026-01-10 @ Northwest Mo. St. - Incomplete score
2026-01-15 @ Emporia St. - Incomplete score
2026-01-17 @ Newman - Incomplete score
2026-01-21 vs Northwest Mo. St. - Incomplete score
2026-01-23 vs Missouri Western - Incomplete score
2026-01-29 @ Fort Hays St. - Incomplete score
2026-01-31 @ Neb.-Kearney - Incomplete score
2026-02-07 @ Central Mo. - 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%
Yiibari Nwidadah - 20 23.3 11.6 7.3 0.7 0.6 0.6 1.6 8.6 10.4 -9 -0.4 -2.5 54.7 0 62.9 -1.85 57.2 54.7
Payton Sterk - 21 31.3 11.4 3.0 1.9 1.4 0.0 2.0 11.1 4.6 93 4.2 23.2 35.5 31.7 91.1 3.13 47.1 42.3
Gabi Giovannetti - 21 29.0 10.7 4.1 1.7 1.9 0.3 1.6 9.1 8.0 53 2.4 14.0 42.9 37.5 77.5 2.02 53.9 50.8
Britany Kogbara - 21 16.1 7.7 3.7 0.6 0.6 0.8 1.4 5.8 6.1 28 1.3 14.8 57.9 0 58.3 0.73 58.8 57.9
Madelyn Amekporfor - 21 23.9 6.3 3.0 1.6 1.1 0.7 1.8 6.2 4.7 70 3.2 23.1 37.4 26.3 71.4 0.62 45.4 41.2
Aniah Wayne - 21 19.9 6.2 2.2 0.9 0.8 0.0 1.3 5.8 3.0 -29 -1.3 -9.1 36.9 29.9 75.0 -0.23 48.8 45.1
Brooke Gomez - 21 18.6 4.0 2.5 2.8 0.8 0.1 2.3 3.6 4.2 84 3.8 32.1 44.7 22.2 66.7 2.26 50.0 47.4
Kellyn Hunter - 18 17.3 3.3 2.9 1.9 1.1 0.0 1.4 4.4 3.4 -38 -1.9 -11.8 27.5 20.0 62.5 -0.94 33.1 28.1
Nia McKenzie - 21 13.2 1.8 3.0 0.9 0.4 0.1 0.6 2.1 3.3 -2 -0.1 -1.3 26.7 12.5 70.6 0.9 35.3 27.8
Cloie Jansky - 8 3.0 1.2 0.6 0.0 0.0 0.1 0.1 1.8 0.1 - - - 35.7 0 0.0 - 34.6 35.7
Kennadi Jackson - 16 6.2 1.0 0.4 0.4 0.3 0.0 0.9 1.2 0.1 -24 -1.4 -147.3 21.1 0.0 50.0 -1.88 30.7 21.1
Willow Gideon - 8 4.1 1.0 0.6 0.0 0.1 0.0 0.4 1.2 0.1 - - - 20.0 20.0 75.0 0.29 34.0 25.0
Lauren Luebbert - 10 5.6 0.6 0.7 0.0 0.5 0.0 0.7 0.7 0.4 - - - 14.3 25.0 50.0 -1.83 31.1 21.4
Kylin Shipman - 11 8.3 0.4 0.5 0.5 0.4 0.0 0.9 1.5 -0.6 -15 -1.2 -198.9 12.5 0.0 0 -1.9 12.5 12.5

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