🐻⬇️🏀

Wash. & Lee

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Wash. & Lee
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 → 1155 (#21) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1418 (#2) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1318 (#2) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +25.1 (#14) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +26.7 (#88) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.949 (#203) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +24.2 More → 0.966 (#118) NetEff +24.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +29.8 More → 0.969 (#150) AdjNet +29.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +29.3 More → 0.970 (#151) AdjNet +29.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.6 | AdjD 58.8 More → 0.835 (#157) AdjO 76.6 | AdjD 58.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.3 | AdjD 48.3 More → 0.890 (#22) AdjO 71.3 | AdjD 48.3
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 → 0.956 (#24) 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 → 0.955 (#20) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 21 More → 1542 (#1) RD 114 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Allegheny W 78 - 77
2025-11-09 @ Chatham W 77 - 65
2025-11-12 vs Southern Va. W 71 - 38
2025-11-15 @ Washington Col. W 86 - 46
2025-11-16 @ Va. Wesleyan W 80 - 57
2025-11-22 vs Lynchburg W 67 - 54
2025-12-02 @ Averett W 73 - 65
2025-12-13 vs Stevenson W 68 - 45
2025-12-20 vs U New England W 68 - 33
2026-01-10 vs Shenandoah W 69 - 52
2026-01-14 @ Hollins W 78 - 61
2026-01-17 @ Randolph-Macon W 72 - 54
2026-01-21 vs Bridgewater (VA) W 63 - 57
2026-01-23 @ Guilford W 81 - 78
2026-01-28 vs Roanoke W 69 - 47
2026-01-31 @ Va. Wesleyan W 64 - 59
2026-02-04 vs East. Mennonite W 70 - 28
2026-02-07 @ Lynchburg W 67 - 33

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%
Mary Schleusner - 17 29.0 21.0 16.9 2.6 1.5 2.1 3.2 15.9 25.0 166 7.9 31.6 51.1 20.0 73.8 2.8 56.6 52.0
Quinn McGuinness - 18 27.8 9.5 2.9 2.7 1.2 0.1 2.0 8.2 6.2 141 6.4 31.6 39.5 44.7 76.0 3.28 50.6 45.2
Sarah Zimmerman - 11 22.3 8.7 4.5 1.9 1.1 1.2 1.6 6.5 9.4 136 8.5 50.9 45.1 40.0 68.2 2.69 53.1 46.5
Sam Collins - 17 17.2 6.4 2.0 0.4 0.6 0.0 0.8 5.6 2.9 103 5.7 42.2 41.7 30.2 92.3 5.27 53.1 50.0
Riley Bryant - 18 17.9 6.3 5.9 1.2 0.6 0.9 1.0 4.9 8.9 81 3.7 25.4 47.2 21.2 82.1 4.91 56.3 51.1
Icy Keneah - 15 15.3 5.9 2.2 1.5 0.2 0.1 1.3 4.7 3.9 96 5.3 39.5 39.4 0.0 73.3 0.84 49.0 39.4
Zou Raine - 18 19.1 5.7 2.1 0.9 0.5 0.4 1.4 5.0 3.2 56 2.5 17.7 43.3 23.8 69.0 0.3 50.1 46.1
Caroline Shimp - 18 14.7 5.1 3.8 0.9 0.5 0.1 1.2 4.3 4.9 76 3.8 30.2 46.2 100.0 86.4 -0.42 52.5 46.8
Megan Zimmerman - 11 10.4 4.4 1.5 0.7 0.5 0.0 0.8 4.2 2.2 90 5.6 56.0 41.3 34.8 50.0 3.05 50.3 50.0
Elka Prechel - 18 20.2 3.3 1.1 0.4 0.4 0.1 0.4 4.8 0.1 50 2.3 13.6 23.0 23.7 100.0 0.78 34.1 33.3
Bri Shuttlewood - 16 14.0 1.8 1.6 0.9 0.2 0.1 0.9 2.7 0.9 44 2.4 20.1 20.9 16.0 75.0 -0.55 30.1 25.6
Kate Kennedy - 12 8.5 1.7 2.5 0.4 0.2 0.7 0.8 3.2 1.5 -33 -2.8 -59.7 21.1 11.8 100.0 -0.47 25.7 23.7
Arden Alvarez - 8 3.4 0.8 0.6 0.1 0.0 0.0 0.4 0.6 0.5 2 0.2 10.6 60.0 0.0 0 -0.15 60.0 60.0
Emily Straughn - 9 4.3 0.7 0.2 0.0 0.1 0.0 0.2 1.2 -0.4 11 1.2 41.8 18.2 0.0 66.7 -0.01 24.4 18.2
Katie Lawson - 8 3.8 0.4 0.1 0.1 0.1 0.0 0.2 0.2 0.2 4 0.5 21.8 0.0 0 75.0 -0.22 39.9 0.0
Samantha Collins - 1 6.0 0.0 2.0 0.0 0.0 0.0 0.0 1.0 1.0 1 1.0 2.5 0.0 0.0 0 0.05 0.0 0.0
Brianna Shuttlewood - 1 3.4 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 9 3.0 26.8 0.0 0 0 0.08 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