🐻⬇️🏀

Lehman

Also known as: Lehman
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 → 1152 (#86) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1033 (#323) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1114 (#72) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -8.4 (#322) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -1.4 (#368) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.754 (#315) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -10.8 More → 0.181 (#51) NetEff -10.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -13.3 More → 0.177 (#559) AdjNet -13.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -13.8 More → 0.166 (#562) AdjNet -13.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.1 | AdjD 77.3 More → 0.284 (#564) AdjO 67.1 | AdjD 77.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.5 | AdjD 68.4 More → 0.592 (#226) AdjO 72.5 | AdjD 68.4
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 → 0.508 (#387) 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 → 0.538 (#375) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 23 More → 1039 (#307) RD 99 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Scranton - Incomplete score
2025-11-08 vs Neumann - Incomplete score
2025-11-11 vs Purchase - Incomplete score
2025-11-15 @ Trinity (CT) - Incomplete score
2025-11-19 @ UMSV - Incomplete score
2025-11-22 vs Albertus Magnus - Incomplete score
2025-11-25 vs Sarah Lawrence - Incomplete score
2025-11-29 vs Gallaudet - Incomplete score
2025-12-02 @ St. Joseph's (Brkln) - Incomplete score
2025-12-06 @ John Jay - Incomplete score
2025-12-11 vs Brooklyn - Incomplete score
2025-12-19 @ FDU - Incomplete score
2025-12-30 vs Arcadia - Incomplete score
2026-01-03 @ Centenary (NJ) - Incomplete score
2026-01-07 @ Medgar Evers - Incomplete score
2026-01-09 @ CCNY - Incomplete score
2026-01-14 vs York (NY) - Incomplete score
2026-01-16 vs Hunter - Incomplete score
2026-01-21 @ Baruch - Incomplete score
2026-01-23 @ Brooklyn - Incomplete score
2026-01-31 vs Medgar Evers - Incomplete score
2026-02-03 vs CCNY - Incomplete score
2026-02-06 @ York (NY) - Incomplete score

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%
Ricardo Dixon - 22 29.5 12.7 8.9 1.7 1.0 1.5 2.5 11.2 12.0 79 4.0 20.6 42.9 24.4 59.2 1.51 48.3 44.9
Amar Ndiaye - 22 28.0 11.0 11.0 1.0 1.0 2.0 1.5 8.0 16.5 108 5.4 32.2 54.3 27.3 51.6 0.33 55.8 55.1
Tyler Harts - 20 31.6 10.1 5.0 1.9 1.4 0.5 2.4 9.7 6.7 32 1.6 7.7 35.6 18.2 71.2 -0.28 43.8 37.1
Kofi Mends - 20 22.7 8.4 3.7 1.4 1.1 0.5 1.6 7.0 6.5 76 3.6 26.8 42.6 37.6 64.0 0.92 55.3 53.9
Zay Marte - 20 21.4 8.2 1.8 1.2 1.1 0.1 1.3 6.9 4.1 60 3.0 21.2 44.9 24.5 73.0 0.1 52.8 49.3
Jayden Norris - 17 14.6 8.1 2.7 1.1 0.8 0.1 1.8 6.4 4.5 11 1.6 29.2 44.0 33.9 64.7 0.98 55.3 52.8
Kesean Tracey - 22 28.9 6.8 3.3 4.0 2.0 0.2 2.6 6.3 7.3 116 5.8 31.9 35.5 28.3 72.2 1.21 46.4 40.2
Manny Barkor - 22 9.8 6.0 4.2 0.5 0.4 0.2 1.1 4.9 5.4 64 3.4 46.8 49.5 25.0 50.0 2.6 51.2 50.0
Jaden Barwicki - 12 7.3 1.8 0.6 0.3 0.2 0.1 0.2 2.5 0.2 -13 -1.4 -36.8 33.3 7.7 50.0 -4.62 35.6 35.0
Daniel McCollum - 12 5.1 1.7 0.7 0.2 0.2 0.1 0.4 1.6 0.8 -7 -0.8 -14.6 42.1 20.0 40.0 -1.6 47.2 47.4
Marcus Vincenti - 14 4.3 0.9 0.8 0.1 0.1 0.1 0.2 0.8 1.0 -18 -1.6 -55.7 45.5 0.0 50.0 -1.85 47.7 45.5
Matthew Quinones - 12 4.8 0.5 0.9 0.8 0.6 0.0 0.8 0.7 1.4 43 3.9 81.6 25.0 0.0 100.0 2.68 33.8 25.0
Raheim Azeez - 12 2.0 0.2 0.2 0.0 0.0 0.1 0.2 0.6 -0.2 -13 -1.6 -56.0 14.3 0 33.3 0.25 18.0 14.3
Billy Donovan - 3 1.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 3 0.6 5.3 0 0 0 -1.03 0 0
Leuri Sosa - 1 2.7 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0.0 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