🐻⬇️🏀

Walla Walla

Also known as: Walla Walla
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 → 968 (#305) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 932 (#425) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 988 (#494) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -22.0 (#623) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.221 (#571) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -35.8 More → 0.010 (#555) NetEff -35.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -12.5 More → 0.191 (#493) AdjNet -12.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -12.8 More → 0.179 (#494) AdjNet -12.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.7 | AdjD 68.2 More → 0.336 (#477) AdjO 60.7 | AdjD 68.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.0 | AdjD 66.9 More → 0.307 (#597) AdjO 58.0 | AdjD 66.9
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 → 0.157 (#629) 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 → 0.180 (#620) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 299 | GP 3 More → 903 (#412) RD 299 | GP 3

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-22 @ Lewis & Clark L 47 - 88
2025-11-23 @ Willamette W 78 - 72
2025-12-10 vs Whitman L 38 - 83

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%
Jaylo Bello - 3 35.6 22.3 3.3 1.7 1.0 1.0 0.7 19.3 9.3 - - - 41.4 22.2 54.2 - 48.9 46.6
Brooklyn Coe - 3 39.6 16.3 2.7 1.7 0.3 0.0 4.0 13.7 3.3 - - - 41.5 33.3 76.9 - 52.4 47.6
Ally Haslam - 1 30.0 7.0 4.0 0.0 0.0 3.0 5.0 5.0 4.0 - - - 40.0 100.0 100.0 - 59.5 50.0
Allison Haslam - 2 27.9 5.5 7.0 1.0 0.5 0.0 0.5 5.0 8.5 - - - 30.0 50.0 75.0 - 46.8 40.0
Mireyah Lopez - 1 26.7 4.0 5.0 0.0 1.0 0.0 2.0 5.0 3.0 83 4.4 20.5 40.0 0.0 0 1.52 40.0 40.0
Delaney Gunther - 3 17.8 3.0 2.0 0.0 0.3 0.0 0.7 2.7 2.0 - - - 37.5 60.0 0 - 56.2 56.2
Meghan Rasmussen - 2 19.1 2.5 3.0 0.0 0.5 0.0 2.0 3.0 1.0 - - - 33.3 100.0 0 - 41.7 41.7
Sidney Folkenberg - 3 28.2 2.0 8.0 0.7 2.0 0.3 3.3 5.0 4.7 - - - 13.3 0 100.0 - 18.9 13.3
Tessa Duncan - 2 18.1 1.0 0.5 1.0 1.0 0.0 3.5 1.5 -1.5 - - - 0.0 0.0 100.0 - 25.8 0.0
Maddie Dietrich - 3 14.9 1.0 1.3 0.7 0.0 0.0 0.7 2.3 0.0 - - - 14.3 20.0 0 - 21.4 21.4
Natalia Jimenez - 1 5.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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