Lehman
Model Outputs
2025-2026
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 → | 1061 (#158) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 992 (#389) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1114 (#72) | HCA +56 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -9.2 (#247) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More → | 0.181 (#51) | NetEff -10.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.177 (#559) | AdjNet -13.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.166 (#562) | AdjNet -13.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. More → | 0.538 (#376) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1046 (#290) | RD 100 | GP 23 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | @ | Scranton | L | 55 - 57 |
| 2025-11-08 | vs | Neumann | W | 74 - 47 |
| 2025-11-11 | vs | Purchase | W | 73 - 66 |
| 2025-11-15 | @ | Trinity (CT) | L | 39 - 101 |
| 2025-11-19 | @ | UMSV | W | 78 - 58 |
| 2025-11-22 | vs | Albertus Magnus | L | 57 - 65 |
| 2025-11-25 | vs | Sarah Lawrence | L | 66 - 67 |
| 2025-11-29 | vs | Gallaudet | W | 92 - 70 |
| 2025-12-02 | @ | St. Joseph's (Brkln) | L | 56 - 65 |
| 2025-12-06 | @ | John Jay | W | 69 - 66 |
| 2025-12-11 | vs | Brooklyn | W | 82 - 54 |
| 2025-12-19 | @ | FDU | L | 42 - 76 |
| 2025-12-30 | vs | Arcadia | L | 74 - 75 |
| 2026-01-03 | @ | Centenary (NJ) | W | 81 - 52 |
| 2026-01-07 | @ | Medgar Evers | W | 92 - 65 |
| 2026-01-09 | @ | CCNY | W | 69 - 50 |
| 2026-01-14 | vs | York (NY) | W | 91 - 63 |
| 2026-01-16 | vs | Hunter | W | 62 - 54 |
| 2026-01-21 | @ | Baruch | W | 61 - 52 |
| 2026-01-23 | @ | Brooklyn | W | 91 - 65 |
| 2026-01-31 | vs | Medgar Evers | W | 79 - 56 |
| 2026-02-03 | vs | CCNY | W | 76 - 73 |
| 2026-02-06 | @ | York (NY) | W | 98 - 63 |
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 | - | 23 | 29.3 | 12.5 | 8.8 | 1.6 | 1.0 | 1.6 | 2.5 | 11.2 | 11.8 | 79 | 4.0 | 20.6 | 42.4 | 25.6 | 58.4 | 2.01 | 47.8 | 44.6 |
| 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 | 1.53 | 55.8 | 55.1 |
| Tyler Harts | - | 21 | 31.3 | 9.6 | 4.9 | 1.9 | 1.4 | 0.5 | 2.4 | 9.4 | 6.4 | 32 | 1.6 | 7.7 | 34.8 | 18.2 | 71.6 | 0.76 | 43.2 | 36.4 |
| Kofi Mends | - | 21 | 22.8 | 8.4 | 3.5 | 1.4 | 1.0 | 0.5 | 1.6 | 7.0 | 6.3 | 76 | 3.6 | 26.8 | 43.2 | 38.6 | 63.0 | 2.15 | 56.1 | 54.8 |
| 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 | -0.44 | 55.3 | 52.8 |
| Zay Marte | - | 21 | 21.1 | 7.9 | 1.8 | 1.2 | 1.1 | 0.1 | 1.3 | 6.7 | 4.0 | 60 | 3.0 | 21.2 | 44.3 | 24.0 | 74.4 | 2.77 | 52.5 | 48.6 |
| Kesean Tracey | - | 23 | 28.7 | 6.8 | 3.2 | 3.8 | 1.9 | 0.2 | 2.6 | 6.2 | 7.1 | 116 | 5.8 | 31.9 | 35.9 | 30.0 | 72.2 | 1.32 | 47.1 | 41.2 |
| Manny Barkor | - | 23 | 10.0 | 6.1 | 4.2 | 0.4 | 0.4 | 0.2 | 1.1 | 5.0 | 5.2 | 64 | 3.4 | 46.8 | 49.1 | 14.3 | 50.0 | -0.1 | 50.8 | 49.6 |
| Jaden Barwicki | - | 13 | 8.4 | 1.7 | 0.7 | 0.3 | 0.2 | 0.1 | 0.3 | 2.7 | -0.1 | -13 | -1.4 | -36.8 | 28.6 | 6.7 | 50.0 | 0.04 | 30.7 | 30.0 |
| Daniel McCollum | - | 13 | 5.8 | 1.7 | 0.8 | 0.2 | 0.2 | 0.1 | 0.5 | 1.6 | 0.8 | -7 | -0.8 | -14.6 | 38.1 | 20.0 | 44.4 | 0.16 | 44.1 | 42.9 |
| Marcus Vincenti | - | 15 | 5.0 | 1.0 | 1.0 | 0.1 | 0.1 | 0.2 | 0.3 | 0.8 | 1.3 | -18 | -1.6 | -55.7 | 41.7 | 0.0 | 50.0 | -0.56 | 45.7 | 41.7 |
| Matthew Quinones | - | 13 | 5.7 | 0.8 | 0.9 | 0.8 | 0.7 | 0.0 | 0.8 | 1.0 | 1.4 | 43 | 3.9 | 81.6 | 30.8 | 0.0 | 66.7 | 2.19 | 34.9 | 30.8 |
| Raheim Azeez | - | 13 | 2.1 | 0.2 | 0.2 | 0.0 | 0.0 | 0.1 | 0.2 | 0.5 | -0.2 | -13 | -1.6 | -56.0 | 14.3 | 0 | 33.3 | -1.1 | 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 | -1.42 | 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