🐻⬇️🏀

Worcester St.

Also known as: Worcester St.
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 → 941 (#346) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 849 (#506) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 964 (#546) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -16.1 (#330) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -12.0 (#518) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.190 (#589) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -6.4 More → 0.283 (#420) NetEff -6.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.8 More → 0.075 (#566) AdjNet -21.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -21.8 More → 0.071 (#560) AdjNet -21.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 56.5 | AdjD 71.1 More → 0.209 (#570) AdjO 56.5 | AdjD 71.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.9 | AdjD 63.5 More → 0.397 (#541) AdjO 58.9 | AdjD 63.5
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 → 0.268 (#553) 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 → 0.289 (#543) 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 22 More → 898 (#418) RD 102 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 @ New Hampshire L 32 - 72
2025-11-07 @ WPI L 45 - 54
2025-11-08 @ Anna Maria W 72 - 50
2025-11-12 @ Wellesley L 61 - 73
2025-11-14 @ Lasell L 50 - 68
2025-11-18 @ New England Col. W 67 - 66
2025-11-20 vs Dean W 95 - 79
2025-11-25 @ Keene St. L 70 - 78
2025-12-03 @ Springfield L 50 - 75
2025-12-29 vs Spalding L 42 - 66
2025-12-30 @ Olivet L 47 - 66
2026-01-10 @ Westfield St. L 67 - 78
2026-01-12 vs Emerson L 56 - 58
2026-01-14 vs Fitchburg St. W 60 - 50
2026-01-17 @ Framingham St. L 52 - 80
2026-01-21 @ Salem St. L 59 - 60
2026-01-24 vs Anna Maria W 78 - 67
2026-01-28 @ Bridgewater St. L 49 - 83
2026-01-31 @ MCLA W 73 - 43
2026-02-04 vs Westfield St. W 76 - 59
2026-02-07 @ Fitchburg St. W 86 - 43

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%
Lena Waldron - 21 28.8 12.9 5.8 1.0 2.0 0.1 2.8 12.3 6.7 -21 -1.2 -8.5 41.7 33.3 78.4 3.62 48.1 44.6
Hannah Lomonaco - 17 30.9 9.9 4.5 4.6 1.8 0.4 3.4 8.9 8.9 24 1.7 8.6 35.8 34.3 83.1 2.68 47.8 39.7
Mia Haynes - 21 28.5 9.5 6.1 2.4 1.5 0.7 3.1 8.9 8.2 -84 -4.7 -36.3 41.7 22.5 59.3 0.69 47.0 44.1
Alana Smith - 21 29.5 8.9 8.2 1.4 0.9 0.7 1.6 6.9 11.6 16 0.9 6.1 49.0 0 69.2 3.61 53.9 49.0
Aydan Gulliver - 21 18.3 6.1 2.9 1.3 1.2 0.2 2.0 7.6 2.1 49 3.1 35.8 33.8 19.0 75.0 -0.86 38.7 37.2
Derin Tokcan - 20 17.0 5.9 2.7 1.0 0.4 0.1 2.4 6.1 1.6 -63 -3.7 -40.3 32.8 30.5 60.6 0.34 43.2 40.2
Lena Malymina - 11 6.3 3.0 1.1 0.7 0.2 0.0 0.5 3.3 1.3 8 0.9 18.6 30.6 26.7 87.5 -1.33 41.8 36.1
Emma Quinn - 20 9.7 2.8 1.3 0.3 0.2 0.1 1.1 3.1 0.5 -53 -3.3 -38.5 33.9 40.0 50.0 -2.6 41.6 40.3
Ava Lemanski - 14 7.0 1.9 1.3 0.4 0.8 0.1 0.9 1.4 2.1 -24 -2.0 -27.9 47.4 0 66.7 -0.51 53.5 47.4
Naveiha Madison - 18 6.5 1.4 1.2 0.3 0.3 0.2 0.6 1.7 1.1 -23 -1.5 -63.8 33.3 27.8 100.0 -1.74 42.7 41.7
Olena Malymina - 10 7.7 1.3 1.7 0.0 0.3 0.1 2.0 2.5 -1.1 -31 -3.9 -66.1 16.0 23.1 50.0 -0.4 24.3 22.0
Cassidy Briggs - 2 2.6 1.0 0.0 0.0 0.5 0.0 0.0 0.0 1.5 - - - 0 0 100.0 - 113.6 0
Ella Tatrault - 8 7.4 0.9 1.4 0.2 0.1 0.0 0.5 1.6 0.5 - - - 23.1 0.0 50.0 - 25.2 23.1
Noelani Santiago - 17 5.6 0.8 1.0 0.1 0.1 0.0 0.4 0.7 0.9 -22 -1.8 -38.4 41.7 50.0 28.6 -2.17 46.4 50.0
Thais Dos Santos - 8 5.0 0.8 0.5 0.2 0.1 0.0 0.5 1.0 0.1 -17 -1.7 -20.6 12.5 0.0 57.1 -1.84 27.1 12.5
Alexis Robinson - 6 2.1 0.8 0.7 0.0 0.0 0.0 0.0 0.3 1.2 -15 -5.0 -2000.0 0.0 0 83.3 0.01 53.9 0.0
Sophia Faginski - 20 7.1 0.6 1.1 0.4 0.1 0.0 0.6 0.7 0.9 -62 -3.9 -121.3 15.4 0 50.0 -0.15 28.7 15.4
Ella Tetrault - 11 7.5 0.5 0.5 0.7 0.5 0.0 0.8 1.1 0.2 -19 -2.1 -55.4 16.7 0.0 50.0 -0.5 19.4 16.7
Erin Condon - 14 7.4 0.3 0.6 0.6 0.0 0.0 0.8 0.3 0.5 -47 -4.3 -99.3 50.0 0 0 -2.01 50.0 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