🐻⬇️🏀

Hunter

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 → 736 (#641) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 627 (#650) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 860 (#712) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -32.7 (#417) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -24.0 (#720) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.224 (#649) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -34.0 More → 0.019 (#755) AdjNet -34.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -34.6 More → 0.018 (#758) AdjNet -34.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.8 | AdjD 85.8 More → 0.093 (#748) AdjO 60.8 | AdjD 85.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.3 | AdjD 74.7 More → 0.198 (#740) AdjO 59.3 | AdjD 74.7
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 → 0.087 (#755) 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 → 0.100 (#757) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 106 | GP 22 More → 697 (#622) RD 106 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ Mt. St. Mary (NY) L 58 - 71
2025-11-11 @ Pratt L 57 - 68
2025-11-15 @ DeSales L 44 - 68
2025-11-18 vs Manhattanville L 71 - 81
2025-11-20 vs SUNY Maritime L 54 - 76
2025-11-22 vs Penn St.-Berks L 54 - 74
2025-11-25 vs Old Westbury W 72 - 67
2025-12-02 vs UMSV W 62 - 60
2025-12-05 vs Baruch L 59 - 70
2025-12-09 @ Merchant Marine L 52 - 57
2025-12-11 @ CCNY L 66 - 68
2025-12-29 vs Ursinus L 34 - 86
2025-12-30 vs FDU-Florham L 71 - 79
2026-01-07 @ John Jay L 70 - 75
2026-01-09 vs York (NY) L 64 - 66
2026-01-14 vs Brooklyn L 40 - 64
2026-01-16 @ Lehman L 54 - 62
2026-01-21 @ Medgar Evers W 76 - 63
2026-01-23 vs CCNY W 67 - 65
2026-01-30 vs John Jay L 64 - 78
2026-02-03 @ York (NY) L 66 - 84
2026-02-05 @ Baruch W 68 - 58

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%
Boubacar Mbaye - 1 34.0 18.0 3.0 0.0 4.0 1.0 2.0 13.0 11.0 -67 -4.5 -17.9 61.5 33.3 0.0 -4.28 64.8 69.2
Joshua Pierre - 1 23.0 15.0 7.0 1.0 2.0 1.0 1.0 14.0 11.0 - - - 42.9 33.3 50.0 - 50.4 50.0
John Paul Maaba - 18 32.2 12.9 2.3 4.3 1.4 0.2 2.2 11.1 7.8 -36 -2.0 -9.1 38.5 28.6 75.3 1.28 49.6 43.5
Jayden Jarret - 15 24.2 11.3 6.9 0.5 0.5 0.7 2.2 8.7 9.0 -70 -10.0 -61.0 54.6 0 52.8 -1.14 55.4 54.6
Jeremiah Otasowie - 19 30.8 9.4 4.1 2.7 0.5 0.3 2.3 8.6 6.0 -82 -4.1 -17.4 38.0 27.1 58.6 -1.39 45.9 42.0
Sloan Ireland - 20 20.3 8.1 7.4 0.6 0.3 1.4 1.9 7.4 8.5 -35 -1.8 -12.9 48.6 41.7 65.0 -3.35 51.7 50.3
Ahmed Toure - 1 22.0 8.0 8.0 3.0 4.0 2.0 1.0 8.0 16.0 -35 -2.1 -9.6 50.0 0 0 0.1 50.0 50.0
Georgios Gatsias - 16 19.7 7.7 2.4 0.9 0.1 0.1 1.8 7.9 1.4 2 0.1 0.9 40.2 25.9 70.0 -1.24 46.8 45.7
Demetrios Kontos - 21 26.3 5.7 4.5 0.6 0.4 1.0 0.5 6.5 5.1 -45 -2.2 -12.4 32.1 31.2 40.0 -3.2 42.7 42.7
Kareem McDonald - 6 17.4 5.2 1.2 1.0 0.5 0.2 1.5 5.8 0.7 -13 -1.9 -9.8 31.4 6.7 72.7 -0.0 38.9 32.9
Noah Outmezguine - 6 15.7 5.2 1.0 1.0 0.5 0.0 2.8 4.3 0.5 11 1.8 69.5 42.3 14.3 80.0 -0.17 51.0 44.2
Michael Perez - 1 32.0 5.0 0.0 2.0 1.0 0.0 2.0 7.0 -1.0 -133 -7.0 -36.6 28.6 33.3 0 -4.0 35.7 35.7
Zachary Lebowitz - 7 15.4 4.3 2.6 1.9 0.4 0.1 2.6 5.1 1.6 -30 -4.3 -75.9 27.8 23.5 75.0 -1.84 38.0 33.3
Kristian Nunez - 20 24.9 3.1 5.0 1.5 1.4 1.4 1.4 4.0 7.2 -48 -2.5 -14.6 34.2 11.1 54.5 -2.67 37.0 35.4
Matthew Kelleher - 15 13.0 2.1 0.5 0.5 0.1 0.1 0.5 3.1 -0.3 -36 -2.2 -26.7 26.1 20.0 50.0 0.05 34.1 33.7
Rhommy Holder - 1 9.0 2.0 1.0 2.0 1.0 0.0 0.0 6.0 0.0 -18 -1.3 -22.5 16.7 0.0 0 0.01 16.7 16.7
David Kruszewski - 11 7.5 1.1 1.4 0.2 0.4 0.4 0.5 1.3 1.5 -5 -0.6 -16.5 28.6 20.0 75.0 -0.21 38.1 32.1
Marcuz Casulla - 4 5.5 0.8 1.8 0.5 0.2 0.0 1.2 1.2 0.8 - - - 20.0 0.0 16.7 - 19.6 20.0
Max Somershaf - 8 7.5 0.6 1.1 0.1 0.0 0.1 0.5 1.4 0.1 -8 -1.1 -60.8 18.2 16.7 0.0 0.08 21.9 22.7
David Hansly - 7 3.2 0.4 0.4 0.0 0.0 0.1 0.1 1.3 -0.4 -24 -4.0 -453.5 11.1 0.0 50.0 0.48 15.2 11.1
Trevonne Tcha - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -79 -4.4 -53.7 0 0 0 1.39 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