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Wellesley

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Wellesley
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 → 948 (#337) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 953 (#393) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 972 (#534) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -12.5 (#308) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -8.7 (#482) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.337 (#526) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.5 More → 0.552 (#343) NetEff +1.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.7 More → 0.116 (#537) AdjNet -17.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -18.3 More → 0.104 (#539) AdjNet -18.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 52.9 | AdjD 64.4 More → 0.261 (#533) AdjO 52.9 | AdjD 64.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 52.9 | AdjD 57.8 More → 0.390 (#548) AdjO 52.9 | AdjD 57.8
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 → 0.348 (#495) 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 → 0.357 (#497) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 20 More → 968 (#359) RD 101 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Lasell L 46 - 64
2025-11-12 vs Worcester St. W 73 - 61
2025-11-15 @ Thomas (ME) W 69 - 50
2025-11-16 @ Colby L 48 - 71
2025-11-25 @ Wentworth W 75 - 41
2025-12-10 vs Elms W 68 - 51
2025-12-29 vs Chris. Newport L 54 - 94
2025-12-30 @ Southern Va. L 49 - 62
2026-01-17 @ Mount Holyoke W 48 - 33
2026-01-21 vs Emerson L 42 - 54
2026-01-24 vs Coast Guard W 59 - 58
2026-01-28 @ Smith L 38 - 88
2026-01-31 vs Wheaton (MA) W 55 - 46
2026-02-04 @ MIT L 49 - 59
2026-02-07 @ Babson L 46 - 70

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%
Ava Shane - 14 31.6 15.4 8.1 1.4 1.6 0.4 2.9 14.9 9.1 -28 -1.6 -6.3 38.8 7.1 63.1 -2.48 43.9 39.0
SHANE, Ava - 1 31.0 14.0 6.0 6.0 3.0 0.0 1.0 13.0 15.0 - - - 53.8 0.0 0.0 - 50.4 53.8
AGARWAL, Tanvi - 1 34.0 13.0 5.0 5.0 2.0 0.0 3.0 8.0 14.0 - - - 50.0 60.0 100.0 - 73.2 68.8
CHEN, Stacy - 1 32.0 13.0 3.0 0.0 4.0 0.0 2.0 10.0 8.0 - - - 60.0 0.0 50.0 - 59.7 60.0
TECHARUNGCHAIKUL, P - 1 30.0 12.0 2.0 2.0 1.0 2.0 3.0 7.0 9.0 - - - 71.4 0.0 100.0 - 76.1 71.4
Trinity Barrow - 14 36.8 11.5 6.1 4.4 2.7 0.5 3.1 10.6 11.5 4 0.2 0.9 42.3 29.5 75.9 0.11 49.8 46.6
BARROW, Trinity - 1 38.0 11.0 7.0 4.0 3.0 0.0 2.0 11.0 12.0 - - - 45.5 25.0 0 - 50.0 50.0
Hailey Moy - 8 27.2 8.6 2.8 1.1 0.6 0.1 1.8 6.8 4.8 -57 -9.5 -21.0 50.0 25.0 68.4 -1.2 55.3 51.9
Stacy Chen - 14 31.6 8.4 4.7 0.9 1.0 0.3 2.1 7.9 5.2 -33 -1.9 -7.6 40.5 27.8 51.1 -1.71 45.1 42.8
P Techarungchaikul - 4 28.8 6.0 3.5 1.8 1.2 0.8 2.8 6.5 4.0 -3 -1.5 -6.3 38.5 27.3 25.0 0.83 43.2 44.2
ELSON, Emaleena - 1 18.0 6.0 1.0 1.0 0.0 0.0 0.0 4.0 4.0 - - - 50.0 66.7 0 - 75.0 75.0
Tanvi Agarwal - 14 29.7 5.1 2.5 1.4 0.9 0.0 1.6 8.0 0.3 -3 -0.2 -0.7 23.2 24.1 100.0 0.16 31.3 29.0
Proud Techarungchaikul - 10 28.8 3.9 3.2 1.0 0.7 0.5 2.1 4.9 2.3 -5 -0.4 -1.4 32.7 28.6 33.3 1.16 38.8 38.8
CHENG, Amanda - 1 3.0 3.0 0.0 0.0 0.0 0.0 0.0 2.0 1.0 - - - 50.0 0 100.0 - 61.5 50.0
KUNZE-HOEG, Else - 1 14.0 3.0 8.0 2.0 0.0 0.0 3.0 5.0 5.0 - - - 20.0 0 100.0 - 27.6 20.0
Else Kunze-Hoeg - 11 15.0 2.5 2.6 0.7 0.7 0.3 0.3 2.2 4.5 26 1.9 13.2 50.0 0 57.1 0.69 51.7 50.0
Emaleena Elson - 14 12.2 1.0 0.3 0.4 0.2 0.0 0.9 2.4 -1.5 22 1.4 17.3 14.7 13.8 0 -2.96 20.6 20.6
Amanda Cheng - 10 2.8 0.3 0.1 0.1 0.0 0.0 0.4 0.4 -0.3 28 2.3 115.7 25.0 100.0 0 -0.58 37.5 37.5
Bridget Sheahan - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Mirella Funari - 1 0.0 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