🐻⬇️🏀

UVA Wise

Also known as: UVA Wise
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 → 1048 (#140) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1091 (#114) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1005 (#346) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +5.0 (#165) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +4.0 (#297) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.287 (#448) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.9 More → 0.345 (#322) NetEff -4.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.0 More → 0.501 (#405) AdjNet +0.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.3 More → 0.509 (#407) AdjNet +0.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.6 | AdjD 71.2 More → 0.486 (#423) AdjO 70.6 | AdjD 71.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.7 | AdjD 63.2 More → 0.557 (#235) AdjO 65.7 | AdjD 63.2
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 → 0.514 (#343) 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 → 0.534 (#322) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 24 More → 1046 (#203) RD 95 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Ga. Southwestern - Incomplete score
2025-11-15 @ USC Beaufort - Incomplete score
2025-11-18 @ King (TN) - Incomplete score
2025-11-22 vs Concord - Incomplete score
2025-11-26 @ Liberty - Incomplete score
2025-11-29 @ Young Harris - Incomplete score
2025-12-01 @ High Point - Incomplete score
2025-12-03 vs Wingate - Incomplete score
2025-12-06 @ Newberry - Incomplete score
2025-12-13 vs Lenoir-Rhyne - Incomplete score
2025-12-17 @ Carson-Newman - Incomplete score
2025-12-20 @ Glenville St. - Incomplete score
2026-01-03 @ Coker - Incomplete score
2026-01-10 @ Catawba - Incomplete score
2026-01-14 vs Tusculum - Incomplete score
2026-01-17 vs Anderson (SC) - Incomplete score
2026-01-21 @ Lincoln Memorial - Incomplete score
2026-01-23 @ Wingate - Incomplete score
2026-01-28 vs Mars Hill - Incomplete score
2026-01-30 vs Newberry - Incomplete score
2026-02-04 vs Carson-Newman - Incomplete score
2026-02-07 @ Lenoir-Rhyne - 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%
Caroline Mullins - 20 34.2 19.8 8.8 2.5 1.6 0.9 3.2 14.9 15.3 121 5.0 19.0 46.5 26.7 80.2 4.76 55.4 48.5
Madison Looney - 20 22.8 12.4 5.2 1.0 0.7 0.3 1.9 10.3 7.4 61 2.5 16.3 52.7 25.0 68.2 1.45 55.0 52.9
Alissa Cheek - 17 30.4 10.4 2.1 3.3 0.9 0.3 2.1 8.4 6.5 -2 -0.1 -0.3 42.3 31.7 77.6 -2.28 54.1 48.9
Patricia Vyborny - 1 20.4 8.0 3.0 2.0 0.0 0.0 3.0 5.0 5.0 7 3.5 19.9 60.0 0 100.0 0.51 68.0 60.0
Emilea Preece - 16 18.5 7.0 3.3 0.9 0.2 0.9 1.4 6.5 4.4 60 3.0 12.8 37.5 37.0 58.3 2.17 48.9 47.1
Mia Nienaber - 20 27.5 6.8 3.0 2.0 0.6 0.5 2.7 5.7 4.6 86 3.9 15.8 34.2 31.3 71.7 2.02 49.9 43.4
Jalie Ruehling - 20 30.6 5.4 5.7 3.5 1.9 0.1 3.0 4.8 8.8 68 2.8 13.1 35.8 27.3 71.4 1.87 48.9 43.7
Shelby Higgins - 16 7.7 3.6 1.2 0.0 0.1 0.1 0.4 3.4 1.1 -6 -0.4 -4.9 36.4 31.4 75.0 0.37 48.7 46.4
Izzy Proffitt - 19 14.0 3.3 1.6 0.8 0.5 0.1 1.3 2.8 2.2 1 0.1 0.3 38.9 44.4 75.0 -2.91 50.8 46.3
Kyndra West - 17 14.4 2.4 1.5 0.9 0.1 0.0 0.9 2.1 1.9 30 1.6 19.8 47.2 40.0 50.0 0.38 53.0 52.8
Katy Hoover - 7 5.4 2.4 0.9 0.4 0.3 0.0 0.4 2.0 1.6 23 2.9 45.7 50.0 20.0 50.0 2.38 53.9 53.6
Abigail Jordan - 9 2.9 2.3 0.3 0.0 0.1 0.2 0.2 1.0 1.8 17 1.7 43.1 66.7 100.0 88.9 1.77 81.0 72.2
Grace Vyborny - 11 7.9 1.2 1.7 0.5 0.2 0.2 0.3 2.0 1.5 5 0.4 4.1 27.3 0 25.0 -1.93 27.4 27.3
Jaci Neubert - 14 4.6 1.1 0.2 0.3 0.1 0.0 0.3 0.6 0.7 3 0.2 2.6 44.4 0.0 100.0 -3.33 62.1 44.4
Brooklyn Frazier - 6 2.4 0.8 0.7 0.0 0.0 0.0 0.2 0.2 1.2 26 2.9 101.8 100.0 100.0 50.0 - 90.6 150.0
Taylor Hawley - 9 1.7 0.6 0.4 0.0 0.0 0.0 0.0 0.4 0.6 34 3.4 207.6 50.0 0 33.3 4.52 47.0 50.0

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