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Medgar Evers

Also known as: Medgar Evers
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 → 928 (#367) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 708 (#575) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 760 (#708) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -47.4 (#421) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -34.0 (#683) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.027 (#691) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -36.7 More → 0.002 (#577) NetEff -36.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -63.1 More → 0.001 (#731) AdjNet -63.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -65.4 More → 0.000 (#730) AdjNet -65.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 41.2 | AdjD 81.3 More → 0.026 (#733) AdjO 41.2 | AdjD 81.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 51.1 | AdjD 76.8 More → 0.089 (#707) AdjO 51.1 | AdjD 76.8
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 → 0.031 (#705) 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 → 0.037 (#705) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 21 More → 608 (#564) RD 114 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 @ St. Joseph's (Brkln) L 59 - 87
2025-11-12 vs Manhattanville L 38 - 112
2025-11-15 @ Emmanuel (MA) L 31 - 108
2025-11-16 vs Stevens L 36 - 101
2025-11-22 @ Ramapo L 32 - 62
2025-11-29 vs Merchant Marine L 58 - 81
2025-11-30 vs Colby-Sawyer L 59 - 76
2025-12-15 @ Old Westbury W 55 - 34
2026-01-14 @ John Jay L 51 - 89
2026-01-16 @ CCNY L 61 - 69
2026-01-21 vs Hunter L 50 - 93
2026-01-23 @ Baruch L 64 - 77
2026-01-31 @ Lehman L 54 - 73
2026-02-03 @ Brooklyn L 46 - 90
2026-02-06 vs John Jay L 72 - 87

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%
Ashley Colon - 1 35.0 18.0 6.0 0.0 0.0 0.0 4.0 10.0 10.0 -156 -11.1 -42.0 60.0 75.0 50.0 -2.77 71.2 75.0
Blessings Joseph-Pascall - 1 38.0 17.0 3.0 5.0 4.0 1.0 7.0 16.0 7.0 3 0.3 1.0 31.2 0 77.8 0.66 42.6 31.2
Alexis Davis - 14 30.0 13.1 7.4 1.6 1.4 0.8 4.0 14.9 5.5 -67 -3.9 -27.1 37.5 27.3 68.8 -3.4 41.4 38.9
Ashley Subervi - 1 34.0 12.0 9.0 0.0 2.0 0.0 3.0 14.0 6.0 -132 -9.4 -37.4 42.9 0 0.0 -2.23 40.3 42.9
Aaliyah Lyons - 12 28.4 9.7 5.2 3.7 3.0 0.5 4.4 11.8 5.9 16 1.1 7.8 29.8 20.0 53.1 -1.19 35.7 31.9
Moutiatou Djibring - 14 23.2 9.6 10.9 0.7 0.4 0.9 2.1 12.6 7.9 6 0.4 2.6 33.0 0 42.9 2.04 34.5 33.0
Yazmin Loma romero - 1 17.0 9.0 3.0 2.0 3.0 0.0 1.0 5.0 11.0 -142 -8.9 -53.1 60.0 100.0 50.0 -4.01 66.6 70.0
Joscelyn Ramos - 1 34.0 7.0 5.0 4.0 1.0 0.0 4.0 7.0 6.0 -136 -8.5 -41.8 28.6 0.0 50.0 -3.91 36.3 28.6
Jah Gunter - 8 24.3 6.8 3.8 1.4 1.1 0.0 4.5 9.4 -0.9 -67 -11.2 -94.3 24.0 8.3 58.6 -0.01 30.8 24.7
Jennifer Metra - 14 31.7 6.5 5.6 2.4 2.1 0.2 4.6 8.7 3.4 -117 -7.8 -39.8 27.0 22.9 50.0 -2.64 33.2 30.3
Amanda Fisher - 1 31.0 6.0 8.0 2.0 1.0 1.0 1.0 5.0 12.0 -101 -7.2 -33.7 40.0 0 50.0 -0.52 44.4 40.0
Hailey Broderick - 5 20.1 3.8 2.0 0.4 0.6 0.2 4.0 5.0 -2.0 -60 -6.0 -53.5 36.0 14.3 0.0 -0.85 37.3 38.0
Sapphira Bamfield - 7 16.9 3.3 2.7 0.3 0.7 0.0 1.4 2.7 2.9 -30 -6.0 -137.9 47.4 0.0 41.7 -0.45 47.4 47.4
Bryanna Merger - 13 20.4 2.6 1.8 0.9 0.8 0.2 2.0 4.3 0.0 -97 -6.5 -72.2 17.9 20.0 37.5 -2.25 27.0 25.0
Enphani Huskey - 14 15.8 2.6 2.6 0.2 0.4 0.0 2.6 5.4 -2.1 -81 -5.1 -56.4 14.5 13.3 41.9 -2.31 20.6 15.8
Natala Reid-Small - 4 11.1 1.0 1.2 0.0 0.0 0.0 1.2 0.5 0.5 - - - 0.0 0.0 66.7 - 43.1 0.0
Nana Samake - 7 7.1 0.3 0.9 0.0 0.3 0.0 0.3 1.1 0.0 -29 -2.6 -268.7 12.5 0.0 0 -0.27 12.5 12.5
Djovanie Dorival - 6 7.2 0.3 0.5 0.0 0.0 0.0 1.2 0.3 -0.7 - - - 50.0 0 0 - 50.0 50.0
Jada Lambert - 13 7.6 0.2 0.8 0.3 0.2 0.0 0.8 0.3 0.5 -31 -2.1 -39.2 0.0 0 66.7 0.44 18.8 0.0
Shanya Aitcheson - 12 11.4 0.2 2.3 0.2 0.3 0.0 2.1 1.0 0.1 -46 -3.8 -39.2 8.3 0.0 25.0 -5.07 10.9 8.3
Elizabeth Herrera - 1 6.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 -137 -13.7 -70.9 0.0 0 0 -6.03 0.0 0.0
Nicole Garcia - 1 5.0 0.0 1.0 0.0 2.0 0.0 0.0 3.0 0.0 -65 -7.2 -118.0 0.0 0.0 0.0 -2.6 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