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John Jay

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: John Jay
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 → 964 (#316) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 774 (#546) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1034 (#232) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -22.7 (#372) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -5.2 (#432) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.513 (#442) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -10.1 More → 0.172 (#459) NetEff -10.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -25.9 More → 0.048 (#607) AdjNet -25.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -27.5 More → 0.038 (#610) AdjNet -27.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 56.1 | AdjD 73.5 More → 0.171 (#612) AdjO 56.1 | AdjD 73.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.8 | AdjD 64.0 More → 0.519 (#351) AdjO 64.8 | 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 → 0.345 (#498) 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 → 0.387 (#469) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 22 More → 967 (#361) RD 103 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ FDU-Florham L 54 - 62
2025-11-10 @ WestConn L 52 - 62
2025-11-15 @ Ramapo L 53 - 57
2025-11-18 vs Coast Guard L 62 - 78
2025-11-21 vs Wm. Paterson L 61 - 83
2025-11-24 @ NYU L 34 - 114
2025-11-29 @ Marywood L 63 - 73
2025-12-03 @ Saint Joseph (CT) W 69 - 55
2025-12-13 vs St. Joseph's (L.I.) L 58 - 61
2025-12-16 vs Farmingdale St. L 56 - 90
2026-01-10 @ Baruch L 71 - 76
2026-01-14 vs Medgar Evers W 89 - 51
2026-01-16 @ Brooklyn L 60 - 81
2026-01-21 @ CCNY W 82 - 33
2026-01-24 vs York (NY) W 74 - 36
2026-01-30 @ Hunter W 89 - 70
2026-02-03 vs Baruch W 75 - 43
2026-02-06 @ Medgar Evers W 87 - 72

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%
Michaela Lattimore - 16 28.0 15.1 13.8 1.4 1.7 1.2 2.4 12.7 18.2 66 3.1 17.0 47.3 0 69.4 3.27 51.6 47.3
Briana Minick - 17 21.9 9.3 3.9 2.1 1.9 0.1 2.6 10.3 4.4 -80 -3.6 -25.4 34.3 30.3 54.9 0.15 40.0 37.1
Bryan Bascones - 16 27.3 8.3 6.6 0.8 0.9 0.2 1.6 8.2 6.9 107 5.1 33.8 42.0 0.0 57.5 1.38 44.8 42.0
Miah Crockett - 17 25.0 8.1 3.2 1.4 1.4 0.2 2.7 7.9 3.7 -22 -1.0 -9.8 32.8 20.0 76.4 0.56 43.3 35.4
Natalie Simonds - 17 28.5 8.0 4.2 3.8 1.6 0.5 4.8 7.9 5.3 -16 -0.7 -3.8 27.4 28.6 69.3 -0.15 40.5 31.1
Essence Richardson - 17 23.4 7.2 4.4 1.8 1.1 0.1 1.6 7.2 5.6 -15 -0.7 -5.2 37.4 32.1 56.5 3.16 45.8 44.3
Ashley Colon - 1 36.0 7.0 3.0 3.0 0.0 0.0 2.0 13.0 -2.0 -156 -11.1 -42.0 23.1 0.0 50.0 -2.77 25.2 23.1
Ashley Subervi - 1 33.0 7.0 9.0 0.0 1.0 1.0 5.0 9.0 4.0 -132 -9.4 -37.4 33.3 0 33.3 -2.23 33.9 33.3
Joscelyn Ramos - 1 30.0 7.0 3.0 0.0 1.0 0.0 7.0 13.0 -9.0 -136 -8.5 -41.8 15.4 0.0 75.0 -3.91 23.7 15.4
Alexis Jones - 17 20.2 6.6 2.8 1.9 1.0 0.1 4.1 7.2 1.1 -51 -2.3 -17.3 33.6 24.1 60.5 -2.4 40.4 36.5
Elizabeth Herrera - 1 17.0 4.0 7.0 1.0 1.0 1.0 3.0 5.0 6.0 -137 -13.7 -70.9 40.0 0.0 0 -6.03 40.0 40.0
Amanda Fisher - 1 25.0 4.0 13.0 1.0 1.0 2.0 2.0 3.0 16.0 -101 -7.2 -33.7 66.7 0 0 -0.52 66.7 66.7
Yazmin Loma romero - 1 22.0 3.0 3.0 1.0 2.0 0.0 5.0 9.0 -5.0 -142 -8.9 -53.1 11.1 25.0 0 -4.01 16.7 16.7
Kailani Galan - 16 17.4 2.3 2.1 2.6 1.2 0.2 3.1 3.1 2.2 6 0.3 2.3 24.0 7.7 66.7 -0.16 31.9 25.0
Morgan Kimmi - 16 11.7 1.9 2.9 0.1 0.4 0.2 0.8 2.9 1.7 -29 -1.4 -16.3 21.7 0 58.8 0.06 28.0 21.7
Nicole Garcia - 1 13.0 1.0 2.0 0.0 0.0 0.0 1.0 4.0 -2.0 -65 -7.2 -118.0 0.0 0.0 50.0 -2.6 10.2 0.0
Aaliyah Hemenes - 6 4.2 0.0 1.2 0.0 0.0 0.0 0.3 1.5 -0.7 17 1.9 51.3 0.0 0.0 0 0.69 0.0 0.0
Amari Harris - 1 2.3 0.0 0.0 1.0 0.0 0.0 1.0 1.0 -1.0 34 2.3 44.8 0.0 0 0 2.47 0.0 0.0
Esther Amoda - 1 9.0 0.0 2.0 1.0 0.0 0.0 6.0 1.0 -4.0 -64 -9.1 -130.6 0.0 0 0 -1.78 0.0 0.0
Erisairy Calderon - 1 15.0 0.0 1.0 0.0 0.0 0.0 0.0 2.0 -1.0 -92 -9.2 -98.4 0.0 0 0 -3.3 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