🐻⬇️🏀

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 → 1184 (#6) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1442 (#1) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1213 (#6) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +34.9 (#1) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +31.8 (#14) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.915 (#119) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +92.1 More → 1.000 (#2) NetEff +92.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +34.7 More → 0.983 (#34) AdjNet +34.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +35.0 More → 0.984 (#33) AdjNet +35.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 90.6 | AdjD 64.2 More → 0.917 (#40) AdjO 90.6 | AdjD 64.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 86.7 | AdjD 61.2 More → 0.911 (#1) AdjO 86.7 | AdjD 61.2
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 → 0.957 (#1) 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 → 0.952 (#1) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 118 | GP 23 More → 1413 (#4) RD 118 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-01 @ Augusta W 101 - 53
2025-11-02 vs DBU W 89 - 77
2025-11-14 vs MSU Moorhead W 95 - 63
2025-11-15 vs Winona St. W 88 - 57
2025-11-19 vs Rockhurst W 85 - 81
2025-11-22 @ William Jewell W 90 - 54
2025-11-25 vs Friends W 105 - 51
2025-11-29 vs Ottawa (KS) W 115 - 30
2025-12-04 vs Neb.-Kearney W 92 - 64
2025-12-06 vs Fort Hays St. W 73 - 66
2025-12-13 vs Central Mo. W 78 - 72
2025-12-16 @ Lubbock Christian W 78 - 66
2025-12-17 @ West Tex. A&M W 74 - 48
2026-01-03 vs Emporia St. W 91 - 66
2026-01-07 @ Missouri Western W 87 - 75
2026-01-10 @ Northwest Mo. St. W 76 - 53
2026-01-15 @ Emporia St. W 75 - 64
2026-01-17 @ Newman W 107 - 74
2026-01-21 vs Northwest Mo. St. W 94 - 44
2026-01-23 vs Missouri Western W 90 - 78
2026-01-29 @ Fort Hays St. W 81 - 73
2026-01-31 @ Neb.-Kearney W 89 - 67
2026-02-07 @ Central Mo. L 72 - 74

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%
Dillon Claussen - 23 28.1 16.0 6.3 2.7 1.3 1.4 2.4 9.1 16.2 67 3.0 14.8 62.4 41.9 63.4 -2.88 67.0 65.5
Jack Bachelor - 23 28.6 14.8 2.1 4.1 1.6 0.0 1.7 10.6 10.3 160 7.0 34.2 46.5 39.6 83.3 0.57 62.5 58.6
Bryson Smith - 23 26.5 10.8 2.7 3.2 1.4 0.0 1.8 8.5 7.8 -25 -2.5 -19.6 43.4 32.8 83.3 1.01 54.7 48.2
Jeremiah Jones - 23 26.4 9.3 4.3 2.9 3.2 0.5 1.7 7.2 11.3 24 1.1 5.3 54.2 32.3 56.0 -3.2 60.7 60.5
Tyson Ruud - 22 17.0 8.0 4.8 0.6 0.6 0.7 1.2 5.3 8.4 119 5.4 58.7 64.1 22.2 60.5 -0.65 66.2 65.8
Brady Christiansen - 22 22.6 7.7 5.8 1.3 0.7 0.1 0.8 5.6 9.2 116 5.3 27.5 46.3 23.9 70.3 -0.4 56.2 50.8
Marcus Glock - 23 19.8 7.4 2.6 1.0 0.6 0.1 0.6 6.0 5.2 137 6.0 46.0 42.4 35.0 72.0 3.35 57.0 55.0
Sam Ungashick - 21 15.7 6.3 2.6 1.4 0.6 0.1 1.0 4.7 5.3 97 4.6 56.2 47.5 37.2 82.1 -0.6 59.7 55.6
Amalachi Wilkins - 20 10.4 4.8 3.2 0.3 0.5 0.7 0.3 2.7 6.5 42 2.2 27.8 74.1 0 55.2 2.75 71.9 74.1
Isaiah Saams-Hoy - 12 3.7 1.6 0.9 0.3 0.2 0.1 0.2 1.4 1.5 -13 -1.2 -38.3 41.2 0.0 83.3 -0.12 48.4 41.2
Tyler Salmon - 9 3.0 1.3 1.0 0.1 0.3 0.0 0.1 1.2 1.4 7 0.9 23.6 45.5 20.0 33.3 -0.83 48.7 50.0
Wyatt Lewis - 10 2.3 0.9 0.3 0.3 0.2 0.0 0.3 0.7 0.7 2 0.2 12.3 57.1 0.0 33.3 -1.72 54.1 57.1
Kaden Ballard - 10 1.8 0.4 0.1 0.0 0.2 0.0 0.0 0.1 0.6 1 0.1 7.4 100.0 100.0 50.0 -0.28 106.4 150.0
Cole Parker - 10 1.9 0.3 0.4 0.1 0.0 0.0 0.1 0.4 0.3 -15 -1.7 -111.5 25.0 25.0 0 -0.28 37.5 37.5
Tayvin Zephier-Murphy - 3 2.9 0.0 0.0 0.0 0.3 0.0 0.3 0.0 0.0 -7 -2.3 -23.6 0 0 0 -0.83 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