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Hunter

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Hunter
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 → 1140 (#34) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1114 (#119) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1094 (#98) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -4.5 (#240) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +4.0 (#296) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.897 (#247) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +14.9 More → 0.898 (#160) NetEff +14.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -14.7 More → 0.156 (#510) AdjNet -14.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.0 More → 0.131 (#519) AdjNet -16.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.0 | AdjD 71.1 More → 0.304 (#501) AdjO 62.0 | AdjD 71.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.7 | AdjD 60.4 More → 0.700 (#125) AdjO 69.7 | AdjD 60.4
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 → 0.621 (#281) 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 → 0.645 (#264) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 22 More → 1107 (#147) RD 107 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Pratt W 94 - 46
2025-11-10 vs Merchant Marine W 72 - 68
2025-11-15 @ Wesleyan (CT) L 57 - 65
2025-11-16 vs Albertus Magnus W 79 - 52
2025-11-22 vs Penn St.-Abington W 76 - 68
2025-11-25 @ Stevens L 67 - 82
2025-11-30 @ Rutgers-Newark W 62 - 42
2025-12-03 @ Sarah Lawrence L 76 - 83
2025-12-30 @ WPI W 53 - 52
2025-12-31 vs Bates L 37 - 73
2026-01-14 vs Brooklyn L 59 - 66
2026-01-16 @ Lehman W 78 - 74
2026-01-21 @ Medgar Evers W 93 - 50
2026-01-23 vs CCNY W 99 - 34
2026-01-30 vs John Jay L 70 - 89
2026-02-03 @ York (NY) W 80 - 39
2026-02-05 @ Baruch W 81 - 53

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%
Alexa Charles - 15 34.9 31.3 9.0 2.9 7.1 0.6 2.5 24.9 23.5 111 6.2 35.0 48.4 34.0 82.6 4.63 56.9 53.2
Gianna Henriques - 17 25.1 9.9 8.8 2.3 0.8 2.3 2.5 9.5 12.1 97 4.6 28.6 40.4 0 65.5 3.25 45.0 40.4
Mia Fuller - 17 27.7 7.3 2.0 4.2 1.5 0.2 3.4 9.3 2.5 65 3.1 17.4 23.4 13.7 76.9 0.93 34.3 26.6
Makkedah Murray - 17 26.1 7.0 4.6 3.4 1.7 0.4 2.5 6.5 8.1 42 2.0 11.2 33.6 30.2 76.2 -0.82 46.3 39.5
Kennedy DeRuy - 17 23.5 5.8 4.6 1.1 1.4 0.2 1.4 7.1 4.6 25 1.2 7.2 33.1 19.0 66.7 -1.1 39.2 37.6
Ali Drake - 17 18.0 4.6 2.9 1.4 0.9 0.3 1.1 5.4 3.7 92 4.6 33.8 29.3 27.6 64.3 0.11 40.2 38.0
Wanhua Peng - 17 10.8 3.0 2.1 0.5 0.4 0.5 0.6 3.6 2.4 55 2.6 28.7 29.5 14.3 86.7 -2.11 37.7 31.1
Sophie Stratton - 17 12.7 2.9 1.9 1.0 0.3 0.1 0.8 2.8 2.6 90 4.3 68.4 42.6 40.0 50.0 2.48 49.5 48.9
Ariella Shindelman - 9 3.8 2.2 0.8 0.1 0.4 0.0 0.0 1.8 1.8 30 2.3 57.1 37.5 42.9 71.4 -0.32 52.4 46.9
Rica Ho - 5 8.0 2.0 1.0 1.2 0.0 0.0 0.2 2.0 2.0 22 3.7 40.8 50.0 0.0 0 0.04 50.0 50.0
Paulina Bonilla - 15 10.1 1.7 2.2 0.1 0.8 0.2 0.7 3.1 1.3 31 1.6 15.1 21.7 0.0 75.0 0.84 26.3 21.7
Aurey Tong - 14 8.3 0.8 1.5 0.8 1.1 0.0 0.6 1.3 2.3 65 3.6 40.2 22.2 15.4 50.0 -0.08 29.1 27.8
DeenaMarie Gallego - 8 3.4 0.5 0.4 0.4 0.0 0.0 0.2 1.0 0.0 23 1.9 67.6 25.0 0.0 0 -0.72 25.0 25.0
Tsz Yau (Emma) Tung - 8 3.8 0.4 0.6 0.0 0.0 0.1 0.5 0.1 0.5 50 5.6 137.3 100.0 0 25.0 0.33 54.3 100.0
Elisabeth Asimakopoulous - 6 3.6 0.0 0.8 0.2 0.2 0.0 0.2 0.8 0.2 19 1.9 63.1 0.0 0.0 0.0 0.13 0.0 0.0
DennaMarie Gallego - 1 2.8 0.0 1.0 0.0 0.0 0.0 0.0 1.0 0.0 0 0.0 0.0 0.0 0.0 0 -0.02 0.0 0.0
Liz Asimakopoulos - 1 4.0 0.0 2.0 1.0 0.0 0.0 1.0 1.0 1.0 - - - 0.0 0.0 0 - 0.0 0.0
Emma Tung - 1 3.0 0.0 1.0 0.0 0.0 0.0 0.0 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