🐻⬇️🏀

Vermont

Also known as: Vermont
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1031 (#278) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1012 (#351) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +56.6 (#17) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#5) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +38.9 More → 0.989 (#115) AdjNet +38.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +43.9 More → 0.997 (#80) AdjNet +43.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 95.9 | AdjD 53.9 More → 0.979 (#34) AdjO 95.9 | AdjD 53.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.8 | AdjD 56.0 More → 0.808 (#54) AdjO 71.8 | AdjD 56.0
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 → 0.981 (#6) 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 → 0.962 (#14) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1088 (#181) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-04 vs Dean W 137 - 31

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%
Nikola Priede - 1 18.3 20.0 4.0 1.0 1.0 0.0 0.0 12.0 14.0 - - - 83.3 0 0 - 83.3 83.3
Savanna Creal - 1 18.6 17.0 7.0 1.0 3.0 1.0 1.0 8.0 20.0 - - - 87.5 0 100.0 - 91.2 87.5
Keira Hanson - 1 19.1 16.0 3.0 4.0 6.0 1.0 1.0 12.0 17.0 - - - 58.3 40.0 0 - 66.7 66.7
Malia Lenz - 1 19.4 14.0 7.0 3.0 2.0 0.0 0.0 8.0 18.0 - - - 75.0 100.0 50.0 - 78.8 81.2
Piper Risdon - 1 16.7 13.0 5.0 0.0 0.0 2.0 0.0 6.0 14.0 - - - 66.7 66.7 60.0 - 79.3 83.3
Emma Haan - 1 16.9 12.0 1.0 2.0 1.0 1.0 1.0 7.0 9.0 - - - 71.4 66.7 0 - 85.7 85.7
Jadyn Weltz - 1 16.1 12.0 4.0 6.0 0.0 0.0 0.0 7.0 15.0 - - - 57.1 66.7 100.0 - 76.1 71.4
Lia Hanson - 1 19.8 12.0 5.0 2.0 2.0 1.0 0.0 6.0 16.0 - - - 83.3 100.0 0 - 100.0 100.0
Christiana Gordon - 1 7.1 11.0 2.0 0.0 1.0 0.0 1.0 4.0 9.0 - - - 100.0 100.0 50.0 - 112.7 125.0
Jacklynn Hosier - 1 16.8 6.0 0.0 3.0 2.0 2.0 1.0 4.0 8.0 - - - 50.0 0.0 100.0 - 61.5 50.0
Maren Maxon - 1 7.1 2.0 1.0 2.0 2.0 1.0 0.0 3.0 5.0 - - - 33.3 0.0 0 - 33.3 33.3
Catherine Gilwee - 1 17.1 2.0 2.0 6.0 1.0 0.0 0.0 4.0 7.0 - - - 25.0 0.0 0 - 25.0 25.0
Devon Yarde - 1 7.1 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -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