🐻⬇️🏀

Salve Regina

Also known as: Salve Regina
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 → 1012 (#225) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 992 (#333) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 956 (#555) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -7.3 (#268) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -6.0 (#441) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.403 (#491) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -10.5 More → 0.183 (#456) NetEff -10.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.1 More → 0.412 (#405) AdjNet -3.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.5 More → 0.398 (#408) AdjNet -3.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.8 | AdjD 69.6 More → 0.437 (#412) AdjO 66.8 | AdjD 69.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.2 | AdjD 63.7 More → 0.420 (#511) AdjO 60.2 | AdjD 63.7
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 → 0.379 (#471) 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 → 0.384 (#475) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 21 More → 963 (#366) RD 102 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Framingham St. L 56 - 68
2025-11-12 @ Suffolk L 48 - 65
2025-11-14 @ Hamilton L 75 - 79
2025-11-15 vs St. John Fisher W 61 - 57
2025-11-18 vs Eastern Conn. St. W 60 - 50
2025-11-21 @ Western New Eng. L 49 - 66
2025-11-22 vs St. Lawrence L 69 - 85
2025-12-02 @ Emmanuel (MA) W 61 - 56
2025-12-29 vs Amherst L 47 - 61
2025-12-30 vs Occidental W 78 - 77
2026-01-10 vs East Tex. Baptist L 46 - 81
2026-01-17 @ Emerson L 62 - 73
2026-01-21 vs Springfield L 55 - 58
2026-01-24 vs Smith L 44 - 68
2026-01-28 @ Coast Guard L 70 - 84
2026-01-31 vs MIT L 54 - 66
2026-02-04 @ Clark (MA) L 54 - 68
2026-02-07 vs WPI W 61 - 55

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%
Sofia Neary - 17 30.6 20.5 13.4 0.8 1.5 1.4 2.9 18.0 16.5 -5 -0.2 -1.1 38.2 18.2 76.2 1.02 46.9 38.6
HJERPE, Sophie - 1 26.0 12.0 8.0 0.0 1.0 0.0 5.0 11.0 5.0 - - - 45.5 0 100.0 - 50.5 45.5
LAUENSTEIN, Hannah - 1 28.0 10.0 3.0 4.0 0.0 0.0 0.0 12.0 5.0 - - - 25.0 25.0 100.0 - 38.8 33.3
NEARY, Sofia - 1 28.0 10.0 9.0 2.0 4.0 3.0 0.0 15.0 13.0 - - - 33.3 0 0.0 - 32.4 33.3
Emma Cochrane - 17 21.3 7.2 2.4 0.9 1.6 0.1 2.2 5.9 4.2 -100 -5.0 -33.6 37.0 12.5 63.0 -1.75 46.5 38.5
Marissa Forino - 17 31.9 6.1 2.9 2.8 1.0 0.2 3.6 7.8 1.6 -63 -3.1 -13.7 24.1 23.5 72.7 0.38 34.1 27.1
FORINO, Marissa - 1 37.0 6.0 2.0 1.0 0.0 0.0 4.0 13.0 -8.0 - - - 15.4 0.0 100.0 - 21.6 15.4
COCHRANE, Emma - 1 22.0 6.0 1.0 0.0 3.0 0.0 0.0 7.0 3.0 - - - 28.6 0 100.0 - 38.1 28.6
Frankie Spadorcia - 16 17.7 5.9 5.2 0.8 0.2 1.2 1.7 5.6 6.1 -60 -3.2 -26.0 43.8 0 69.6 -1.76 47.4 43.8
Hannah Lauenstein - 17 28.9 5.1 4.0 2.7 1.4 0.1 2.8 7.5 2.9 -49 -2.5 -11.2 18.0 23.4 73.5 2.46 30.1 23.8
Sophie Hjerpe - 16 19.7 4.6 3.1 0.9 0.3 0.4 1.4 5.1 2.9 -25 -1.3 -8.2 42.7 18.8 50.0 -1.13 44.6 44.5
Deanna Linscott - 17 23.6 4.5 4.1 1.0 0.5 0.8 1.4 4.6 4.9 -63 -3.1 -17.9 43.6 26.1 18.2 -1.28 45.9 47.4
Liz McGuirl - 13 10.7 2.9 0.8 0.5 0.9 0.0 1.2 2.6 1.5 -69 -4.3 -35.3 32.4 22.2 58.3 1.24 42.6 35.3
Natalia Brown - 5 2.8 2.4 0.8 0.0 0.0 0.4 0.2 1.4 2.0 9 1.5 229.8 71.4 0 100.0 0.71 76.1 71.4
Gabby Lloyd - 1 4.4 2.0 2.0 0.0 0.0 0.0 0.0 2.0 2.0 - - - 0.0 0 100.0 - 34.7 0.0
LINSCOTT, Deanna - 1 32.0 2.0 4.0 2.0 0.0 3.0 4.0 3.0 4.0 - - - 33.3 0.0 0 - 33.3 33.3
MCGUIRL, Liz - 1 13.0 2.0 4.0 0.0 0.0 0.0 2.0 4.0 0.0 - - - 25.0 0.0 0 - 25.0 25.0
Savannah Emery - 9 10.6 1.8 2.1 0.4 0.2 0.0 0.4 2.6 1.6 -40 -3.6 -29.5 21.7 0 75.0 -1.01 30.2 21.7
Colleen Ohrtman - 14 9.1 1.2 1.4 0.4 0.3 0.0 0.4 2.4 0.4 -13 -0.8 -12.6 20.6 13.3 50.0 0.79 24.4 23.5
Grace Blessing - 2 3.3 1.0 0.5 0.0 0.0 0.0 0.0 1.0 0.5 - - - 50.0 0 0 - 50.0 50.0
Devin LeBrun - 13 7.8 0.5 0.5 0.7 0.2 0.0 0.6 0.7 0.5 -25 -1.8 -78.0 22.2 33.3 50.0 0.94 30.4 27.8
Maeve Tullson - 8 3.3 0.4 0.4 0.0 0.0 0.1 0.1 1.1 -0.4 -1 -0.1 -6.9 11.1 0 33.3 0.76 14.5 11.1
Sabrina Lawless - 4 4.8 0.2 1.2 0.2 0.0 0.0 0.5 0.2 1.0 - - - 0.0 0.0 50.0 - 26.6 0.0
LEBRUN, Devin - 1 12.0 0.0 0.0 1.0 0.0 0.0 2.0 2.0 -3.0 - - - 0.0 0.0 0 - 0.0 0.0
SPADORCIA, Frankie - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 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