🐻⬇️🏀

Husson

Also known as: Husson
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 → 1014 (#218) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1042 (#259) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1078 (#122) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -13.6 (#317) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -13.1 (#535) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.825 (#291) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +2.2 More → 0.574 (#336) NetEff +2.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.3 More → 0.491 (#385) AdjNet -0.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.4 More → 0.429 (#398) AdjNet -2.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.3 | AdjD 66.3 More → 0.476 (#385) AdjO 65.3 | AdjD 66.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.7 | AdjD 64.0 More → 0.447 (#489) AdjO 61.7 | AdjD 64.0
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 → 0.373 (#480) 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 → 0.394 (#463) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 22 More → 1105 (#150) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 vs St. Joseph's (ME) W 89 - 74
2025-11-18 vs Bates L 50 - 98
2025-11-21 @ Thomas (ME) W 53 - 52
2025-11-22 @ Lesley W 87 - 59
2025-12-12 @ Maine Maritime L 52 - 64
2025-12-13 @ Me.-Farmington L 67 - 78
2025-12-30 @ Smith L 36 - 106
2025-12-31 vs St. John Fisher L 56 - 63
2026-01-10 @ VTSU-Johnson W 87 - 65
2026-01-11 @ VTSU Lyndon W 69 - 60
2026-01-14 vs Colby L 47 - 61
2026-01-16 vs Thomas (ME) W 69 - 57
2026-01-17 vs Lesley W 69 - 49
2026-01-20 vs Bowdoin L 46 - 74
2026-01-23 vs Me.-Farmington W 52 - 38
2026-01-24 vs Maine Maritime W 75 - 71
2026-01-31 @ Me.-Presque Isle W 78 - 34
2026-02-06 @ SUNY Cobleskill L 47 - 62
2026-02-07 @ SUNY Delhi W 76 - 64

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%
Saige Evans - 19 31.8 15.6 9.9 1.6 1.5 0.8 1.9 14.6 12.8 -11 -0.6 -2.6 42.1 22.7 78.1 1.97 47.7 43.0
Lilly Roy - 19 29.6 14.8 4.1 2.1 1.3 0.1 1.8 13.4 7.1 9 0.5 2.3 40.0 32.7 88.2 1.35 50.8 46.5
Jada Johnson - 1 22.4 8.0 2.0 1.0 1.0 0.0 3.0 7.0 2.0 88 4.9 29.8 42.9 0.0 100.0 1.84 50.8 42.9
Laela Martinez - 19 30.9 7.6 3.4 3.3 1.8 0.0 3.1 7.9 5.2 -21 -1.1 -6.1 33.3 40.6 54.3 1.04 43.8 42.0
Sophia Carnes - 19 22.2 7.1 1.8 1.9 1.3 0.1 1.9 7.5 2.7 1 0.1 0.3 32.9 31.6 100.0 1.45 46.3 45.5
Abby Radell - 3 21.8 7.0 2.3 2.3 1.3 0.0 2.3 6.7 4.0 - - - 40.0 0.0 83.3 - 46.4 40.0
Abby Radel - 14 18.9 5.6 2.8 1.5 0.9 0.0 1.9 5.9 3.0 -35 -2.3 -37.7 34.9 9.1 90.9 0.05 42.6 35.5
Danielle Dow - 19 21.5 4.1 6.2 2.1 0.9 0.4 2.6 4.3 6.8 -50 -2.5 -20.5 35.4 21.7 75.0 -1.21 43.0 38.4
Aubrey Kachnovich - 19 13.5 3.2 2.4 0.7 0.5 0.1 1.3 3.2 2.4 -2 -0.1 -0.8 42.6 0.0 61.5 -0.47 45.0 42.6
Sam Haber - 17 12.0 2.4 1.4 0.8 0.4 0.0 1.1 2.9 0.8 23 1.3 19.2 34.0 20.7 50.0 0.86 40.3 40.0
Audrey Jackson - 12 6.9 1.7 1.4 0.2 0.2 0.1 0.2 2.5 0.8 12 0.9 27.7 26.7 33.3 0 0.79 33.3 33.3
Laney Farrar - 17 11.3 1.1 1.5 1.0 0.9 0.1 0.9 1.6 2.1 59 3.3 32.5 28.6 0.0 100.0 3.32 32.4 28.6
Savannah Lorenz - 14 6.8 1.1 2.2 0.1 0.4 0.2 0.6 1.1 2.4 -34 -2.1 -57.2 25.0 0 66.7 -2.69 37.6 25.0
Sydney Carnes - 9 3.7 0.7 0.3 0.1 0.2 0.0 0.1 0.9 0.3 10 0.8 48.2 25.0 28.6 0 -1.03 37.5 37.5

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