Lehigh
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
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 → | 1019 (#324) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1023 (#340) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 996 (#489) | HCA +56 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.7 (#278) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.997 (#120) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.955 (#134) | AdjNet +26.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.960 (#132) | AdjNet +26.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.844 (#151) | AdjO 82.5 | AdjD 63.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.574 (#258) | AdjO 76.6 | AdjD 73.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.692 (#214) | 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 → | 0.660 (#249) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1089 (#206) | RD 350 | GP 1 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-16 | vs | SUNY Oneonta | W | 90 - 65 |
| 2023-12-09 | vs | Cairn | W | 88 - 33 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tyler Whitney-Sidney | - | 2 | 18.5 | 15.5 | 5.0 | 2.5 | 2.0 | 0.0 | 1.0 | 8.0 | 16.0 | - | - | - | 81.2 | 50.0 | 50.0 | - | 87.3 | 90.6 |
| Keith Higgins Jr. | - | 2 | 17.5 | 15.0 | 1.5 | 1.5 | 2.0 | 0.0 | 0.5 | 10.0 | 9.5 | 26 | 1.4 | 6.2 | 60.0 | 55.6 | 100.0 | 2.55 | 73.4 | 72.5 |
| Bube Momah | - | 2 | 16.5 | 10.5 | 4.0 | 1.0 | 1.5 | 0.0 | 1.0 | 6.5 | 9.5 | - | - | - | 61.5 | 33.3 | 100.0 | - | 71.1 | 65.4 |
| Joshua Ingram | - | 2 | 16.0 | 10.0 | 3.5 | 1.5 | 0.5 | 0.0 | 1.5 | 6.5 | 7.5 | - | - | - | 69.2 | 40.0 | 0 | - | 76.9 | 76.9 |
| Nasir Whitlock | - | 2 | 15.0 | 9.0 | 4.5 | 2.5 | 0.0 | 0.0 | 0.5 | 8.5 | 7.0 | - | - | - | 41.2 | 30.0 | 100.0 | - | 51.6 | 50.0 |
| Dominic Parolin | - | 2 | 15.5 | 8.5 | 6.5 | 2.0 | 0.0 | 0.5 | 1.0 | 5.0 | 11.5 | - | - | - | 70.0 | 33.3 | 66.7 | - | 75.1 | 75.0 |
| Cam Gillus | - | 2 | 16.0 | 6.0 | 3.5 | 2.0 | 1.0 | 0.5 | 0.5 | 6.0 | 6.5 | - | - | - | 41.7 | 25.0 | 0.0 | - | 48.2 | 50.0 |
| Burke Chebuhar | - | 2 | 11.5 | 3.5 | 2.0 | 0.5 | 0.5 | 0.0 | 2.0 | 3.5 | 1.0 | - | - | - | 42.9 | 0.0 | 100.0 | - | 47.0 | 42.9 |
| Ben Knostman | - | 2 | 12.5 | 2.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 50.0 | 33.3 | 0.0 | - | 56.3 | 62.5 |
| Jalin Sinclair | - | 2 | 17.0 | 2.5 | 1.5 | 4.5 | 0.0 | 0.0 | 0.5 | 3.0 | 5.0 | - | - | - | 16.7 | 100.0 | 100.0 | - | 36.3 | 25.0 |
| Henri Adiassa | - | 2 | 8.5 | 2.0 | 3.5 | 0.0 | 0.0 | 0.0 | 1.0 | 2.5 | 2.0 | - | - | - | 40.0 | 0 | 0.0 | - | 31.6 | 40.0 |
| JT Tan | - | 2 | 11.0 | 2.0 | 6.5 | 1.0 | 0.0 | 0.5 | 0.5 | 4.0 | 5.5 | - | - | - | 25.0 | 0 | 0 | - | 25.0 | 25.0 |
| Tommy Conniff | - | 2 | 6.0 | 1.0 | 2.5 | 0.0 | 0.0 | 0.0 | 0.5 | 2.0 | 1.0 | - | - | - | 25.0 | 0 | 0 | - | 25.0 | 25.0 |
| Brendan Reed | - | 2 | 6.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.5 | 3.0 | -0.5 | - | - | - | 16.7 | 0.0 | 0 | -0.28 | 16.7 | 16.7 |
| Jayshen Saigal | - | 2 | 7.0 | 0.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | - | - | - | 0.0 | 0.0 | 0.0 | - | 0.0 | 0.0 |
| Jake Pike | - | 1 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | -6.0 | - | - | - | 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