🐻⬇️🏀

Lasell

Also known as: Lasell
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 → 1072 (#103) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1134 (#101) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1020 (#291) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -8.2 (#277) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -11.4 (#511) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.644 (#382) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +9.7 More → 0.813 (#213) NetEff +9.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -15.1 More → 0.150 (#514) AdjNet -15.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.3 More → 0.129 (#522) AdjNet -16.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.4 | AdjD 68.0 More → 0.277 (#522) AdjO 57.4 | AdjD 68.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.6 | AdjD 62.7 More → 0.407 (#532) AdjO 58.6 | AdjD 62.7
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 → 0.397 (#456) 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 → 0.401 (#453) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 110 | GP 21 More → 1061 (#240) RD 110 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Wellesley W 64 - 46
2025-11-12 @ Eastern Conn. St. W 69 - 65
2025-11-14 vs Worcester St. W 68 - 50
2025-11-19 vs Westfield St. W 72 - 61
2025-11-21 vs Framingham St. W 64 - 56
2025-11-25 @ Suffolk W 77 - 65
2025-12-03 vs Anna Maria W 60 - 48
2025-12-13 vs Gordon W 86 - 67
2025-12-29 vs Northwestern-St. Paul L 62 - 75
2026-01-10 vs New England Col. W 58 - 47
2026-01-14 @ Saint Joseph (CT) L 50 - 58
2026-01-17 @ Rivier W 57 - 47
2026-01-20 vs Regis (MA) W 60 - 51
2026-01-24 vs Dean W 86 - 60
2026-01-28 @ Norwich L 55 - 68
2026-01-31 vs Emmanuel (MA) L 60 - 73
2026-02-03 @ St. Joseph's (ME) L 64 - 77

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%
Major, Shirle - 1 30.0 22.0 3.0 3.0 0.0 0.0 3.0 16.0 9.0 - - - 50.0 37.5 75.0 - 61.9 59.4
Johnson, Laura - 1 39.0 16.0 21.0 2.0 1.0 2.0 0.0 13.0 29.0 - - - 61.5 0 0.0 - 59.5 61.5
Mack, Blaize - 1 34.0 14.0 9.0 4.0 2.0 1.0 5.0 9.0 16.0 - - - 55.6 50.0 100.0 - 70.9 66.7
Laura Johnson - 16 33.1 11.8 19.8 1.7 2.1 0.4 3.0 11.8 20.9 83 4.9 32.8 42.9 0.0 49.1 -0.57 44.3 42.9
Abigail Duclos - 15 36.0 11.0 3.6 2.4 1.2 0.5 3.9 11.9 2.9 60 3.8 20.5 34.8 29.8 58.5 -0.5 42.1 39.6
Blaize Mack - 16 30.7 10.9 9.3 3.1 1.3 0.9 3.6 9.6 12.4 95 5.6 37.2 44.4 15.0 83.3 0.24 50.7 45.4
Shirle Major - 16 28.0 10.7 3.5 2.4 1.2 0.1 4.0 12.4 1.5 47 2.8 27.6 27.8 20.9 76.8 0.91 38.4 32.3
Williamson, Daeserae - 1 23.0 8.0 2.0 0.0 1.0 1.0 2.0 7.0 3.0 - - - 57.1 0 0 - 57.1 57.1
Duclos, Abigail - 1 33.0 8.0 2.0 6.0 1.0 0.0 1.0 11.0 5.0 - - - 27.3 33.3 25.0 - 31.3 31.8
Hailey Johnson - 16 14.7 6.3 3.2 0.9 0.5 0.7 1.3 5.6 4.8 -171 -5.2 -35.3 55.1 0 60.0 -0.49 55.4 55.1
Daeserae Williamson - 16 18.1 5.1 4.2 1.0 0.8 1.1 1.9 6.0 4.3 23 1.4 13.9 39.6 0.0 50.0 0.02 40.5 39.6
Erica Lendall - 15 9.8 4.0 0.9 0.6 0.1 0.1 1.3 3.8 0.6 34 2.1 93.4 35.1 36.0 50.0 0.45 51.1 50.9
Johnson, Hailey - 1 9.0 3.0 4.0 2.0 0.0 0.0 1.0 3.0 5.0 - - - 33.3 0 50.0 - 38.7 33.3
Lendall, Erica - 1 17.0 3.0 1.0 1.0 0.0 0.0 2.0 4.0 -1.0 - - - 25.0 33.3 0 - 37.5 37.5
Gagner, Ashley - 1 15.0 3.0 0.0 1.0 0.0 0.0 1.0 7.0 -4.0 - - - 14.3 33.3 0 - 21.4 21.4
Alexis Bulson-Cuozzo - 16 16.8 2.7 2.1 1.2 0.7 0.1 0.9 4.7 1.2 55 3.2 34.7 25.3 17.2 0 -0.7 28.7 28.7
Teagan Clancy - 12 7.3 1.7 0.5 0.2 0.0 0.0 0.8 2.4 -0.8 -27 -1.9 -73.7 27.6 21.1 0 -3.07 34.5 34.5
Ashley Gagner - 10 7.5 1.6 0.7 0.8 0.4 0.0 1.0 2.6 -0.1 -1 -0.1 -4.5 26.9 12.5 0.0 -0.4 29.8 30.8
Hayden Leccese - 10 7.2 1.5 1.3 0.3 0.0 0.0 0.9 1.4 0.8 10 1.4 18.9 42.9 0.0 75.0 -0.99 47.6 42.9
Julia DiRaimo - 3 3.9 0.0 0.7 0.3 0.0 0.0 0.3 0.0 0.7 - - - 0 0 0 - 0 0
Lacey Brundage - 1 3.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Nathaly Guzman - 1 1.7 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 - - - 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