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Regis (MA)

Also known as: Regis (MA)
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 → 877 (#430) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 863 (#495) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1022 (#281) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -16.4 (#334) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -13.0 (#531) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.211 (#578) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -8.8 More → 0.215 (#444) NetEff -8.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -24.2 More → 0.058 (#590) AdjNet -24.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -24.7 More → 0.051 (#591) AdjNet -24.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.4 | AdjD 73.6 More → 0.187 (#601) AdjO 57.4 | AdjD 73.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.6 | AdjD 67.5 More → 0.369 (#567) AdjO 61.6 | AdjD 67.5
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 → 0.296 (#531) 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 → 0.314 (#522) 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 → 979 (#345) RD 102 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Brandeis L 53 - 80
2025-11-08 vs NYU L 35 - 114
2025-11-12 @ Anna Maria W 70 - 55
2025-11-15 @ Salem St. L 58 - 71
2025-11-19 @ UMass Boston L 69 - 82
2025-11-22 vs Mount Holyoke W 67 - 47
2025-11-25 @ Framingham St. L 56 - 78
2025-12-03 vs Wheaton (MA) L 54 - 64
2025-12-20 @ Grove City L 43 - 70
2026-01-10 vs Albertus Magnus W 63 - 55
2026-01-14 @ Elms W 64 - 55
2026-01-17 @ Saint Joseph (CT) W 51 - 49
2026-01-20 @ Lasell L 51 - 60
2026-01-24 vs Rivier W 74 - 53
2026-01-28 vs Mitchell W 79 - 61
2026-01-31 vs Norwich W 82 - 77
2026-02-03 @ Emmanuel (MA) L 0 - 0
2026-02-07 vs New England Col. W 83 - 81

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%
Madi Zancan - 17 29.0 19.9 11.6 1.5 3.0 1.0 2.6 13.1 21.3 -33 -2.1 -12.3 50.2 0.0 77.6 -3.28 58.7 50.2
Jillian Perry - 17 26.4 9.5 2.7 1.7 2.5 1.0 2.8 9.6 4.9 -67 -4.2 -20.6 35.4 28.4 68.6 3.24 44.9 41.8
Jordyn Striggles - 17 27.6 7.8 2.4 1.7 0.3 0.4 2.2 9.9 0.4 -46 -2.9 -12.7 28.6 29.3 69.2 -0.21 38.0 36.6
Erika Marinelli - 17 26.2 6.8 1.6 1.2 1.2 0.1 1.8 8.5 0.6 -62 -4.1 -25.0 29.0 23.5 60.0 -4.99 37.7 35.9
Zoey Swanson - 17 18.4 5.2 5.3 1.1 0.7 0.6 1.8 5.8 5.3 -26 -1.6 -11.4 33.7 9.1 61.8 3.12 39.0 34.2
Kristina Asmani - 16 11.6 3.5 0.8 0.6 0.6 0.0 1.4 3.8 0.2 -71 -4.7 -33.4 24.6 16.7 77.4 -0.88 37.5 26.2
Riley Whittier - 17 11.8 3.4 3.4 0.8 0.9 0.1 1.0 4.7 2.8 -9 -0.6 -3.7 23.8 18.8 68.4 1.33 32.3 27.5
Kailyn Smith - 17 22.4 3.2 2.9 1.4 1.4 0.2 2.6 2.9 3.6 -45 -3.2 -18.5 38.0 0.0 56.7 -2.64 43.5 38.0
Jojo Ready - 11 6.4 1.3 0.5 0.1 0.1 0.1 1.1 1.9 -1.0 1 0.1 3.2 23.8 21.4 50.0 -1.68 32.0 31.0
Brianna Lawton - 2 2.5 1.0 0.5 0.5 0.0 0.0 0.5 0.5 1.0 -7 -7.0 -93.3 100.0 0 0.0 -0.85 53.2 100.0
Emma Pollini - 2 4.5 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 2 2.0 102.1 0.0 0.0 100.0 0.46 34.7 0.0
Allyson Piecewicz - 6 4.4 0.8 0.5 0.2 0.0 0.0 0.8 0.8 -0.2 -26 -6.5 -78.8 40.0 33.3 0 -1.88 50.0 50.0
Serenity Ayala - 14 11.8 0.7 1.4 0.4 0.4 0.1 1.2 1.1 0.6 -12 -1.1 -18.1 18.8 0 66.7 -0.88 26.8 18.8
Sophia Pollini - 13 6.0 0.6 0.8 0.2 0.1 0.2 0.2 1.8 -0.1 -59 -4.5 -61.0 13.0 12.5 0 -1.54 17.4 17.4
Maya Reynolds - 11 7.5 0.5 2.1 0.4 0.3 0.1 0.7 0.8 1.8 -33 -3.7 -22.7 22.2 0 33.3 -1.47 25.8 22.2
Fatma Fatah - 7 3.5 0.3 0.4 0.0 0.1 0.1 0.4 1.6 -1.0 -9 -1.3 -38.4 9.1 0.0 0 -1.06 9.1 9.1
Jordan St. Germain - 1 2.0 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 - - - 0 0 0 - 0 0
Sophia Scarpa - 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