🐻⬇️🏀

Stonehill

Season: 2026 2025 2023
Also known as: Stonehill
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 → 1044 (#256) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1016 (#317) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +33.6 (#60) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#72) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +61.4 More → 0.999 (#38) AdjNet +61.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +60.1 More → 0.999 (#45) AdjNet +60.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 76.5 | AdjD 40.7 More → 0.963 (#66) AdjO 76.5 | AdjD 40.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.7 | AdjD 56.7 More → 0.675 (#149) AdjO 64.7 | AdjD 56.7
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 → 0.937 (#35) 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 → 0.911 (#47) 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 → 1079 (#209) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Bridgewater St. W 83 - 38

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%
Brooke Paquette - 1 25.5 18.0 2.0 2.0 6.0 0.0 1.0 14.0 13.0 - - - 42.9 0.0 100.0 - 54.1 42.9
Phoena Dadson - 1 18.0 17.0 5.0 1.0 1.0 0.0 2.0 8.0 14.0 - - - 87.5 100.0 0 - 106.2 106.2
Catelyn Wheeler - 1 12.2 9.0 3.0 1.0 0.0 0.0 0.0 4.0 9.0 - - - 75.0 100.0 50.0 - 92.2 100.0
Bella Mallory - 1 18.9 8.0 5.0 0.0 1.0 0.0 1.0 8.0 5.0 - - - 50.0 0 0 - 50.0 50.0
Ella Pelletier - 1 17.7 6.0 3.0 1.0 2.0 0.0 1.0 7.0 4.0 - - - 42.9 0.0 0 - 42.9 42.9
Reese Roggenburk - 1 19.6 6.0 9.0 1.0 2.0 0.0 0.0 7.0 11.0 - - - 42.9 0 0 - 42.9 42.9
Julia Webster - 1 21.6 5.0 3.0 1.0 0.0 0.0 2.0 3.0 4.0 - - - 33.3 100.0 100.0 - 64.4 50.0
Emma Arcà - 1 19.1 5.0 4.0 2.0 2.0 0.0 2.0 5.0 6.0 - - - 40.0 0.0 50.0 - 42.5 40.0
Paige Martin - 1 7.6 4.0 1.0 0.0 0.0 0.0 1.0 3.0 1.0 - - - 66.7 0 0 - 66.7 66.7
Sydney McLaughlin - 1 13.5 3.0 1.0 1.0 0.0 0.0 1.0 4.0 0.0 - - - 25.0 25.0 0 - 37.5 37.5
Breana Delaney - 1 19.1 2.0 0.0 1.0 0.0 0.0 0.0 6.0 -3.0 - - - 16.7 0.0 0 - 16.7 16.7
Rissi Smith - 1 7.0 0.0 2.0 1.0 0.0 0.0 0.0 0.0 3.0 45 2.2 32.4 0 0 0 4.06 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