Trevecca Nazarene
Also known as: Trevecca Nazarene
Program History
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 → | 1032 (#242) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1044 (#282) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1008 (#383) | HCA +56 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.7 (#118) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.989 (#176) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.879 (#190) | AdjNet +17.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.891 (#188) | AdjNet +17.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.849 (#142) | AdjO 96.4 | AdjD 77.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.639 (#165) | AdjO 81.0 | AdjD 74.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.787 (#116) | 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 → | 0.753 (#133) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1080 (#237) | RD 350 | GP 1 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jax Abernathy | - | 1 | 19.1 | 17.0 | 0.0 | 2.0 | 2.0 | 0.0 | 1.0 | 13.0 | 7.0 | - | - | - | 38.5 | 33.3 | 100.0 | - | 55.9 | 46.2 |
| Drew Blackston | - | 1 | 17.4 | 15.0 | 4.0 | 1.0 | 0.0 | 0.0 | 2.0 | 11.0 | 7.0 | - | - | - | 54.5 | 100.0 | 66.7 | - | 60.9 | 59.1 |
| Justin Bass | - | 1 | 20.9 | 14.0 | 2.0 | 1.0 | 2.0 | 0.0 | 0.0 | 8.0 | 11.0 | - | - | - | 62.5 | 57.1 | 0.0 | - | 82.9 | 87.5 |
| Brett Wright | - | 1 | 17.8 | 13.0 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 8.0 | 13.0 | - | - | - | 62.5 | 60.0 | 0 | - | 81.2 | 81.2 |
| Fred Bailey | - | 1 | 22.6 | 11.0 | 3.0 | 8.0 | 0.0 | 0.0 | 2.0 | 9.0 | 11.0 | - | - | - | 44.4 | 0.0 | 75.0 | - | 51.1 | 44.4 |
| Isaiah Divens | - | 1 | 17.0 | 8.0 | 8.0 | 1.0 | 1.0 | 1.0 | 1.0 | 4.0 | 14.0 | - | - | - | 75.0 | 0.0 | 100.0 | - | 82.0 | 75.0 |
| Jake Mulder | - | 1 | 16.1 | 5.0 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 4.0 | 5.0 | - | - | - | 50.0 | 33.3 | 0.0 | - | 51.2 | 62.5 |
| Spencer White | - | 1 | 20.9 | 5.0 | 5.0 | 3.0 | 2.0 | 0.0 | 0.0 | 5.0 | 10.0 | - | - | - | 40.0 | 33.3 | 0 | - | 50.0 | 50.0 |
| Aiden Williams | - | 1 | 5.9 | 5.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 3.0 | 24 | 1.1 | 8.0 | 66.7 | 100.0 | 0 | 1.35 | 83.3 | 83.3 |
| Mason Brown | - | 1 | 8.8 | 3.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 5.0 | 12 | 1.2 | 17.5 | 50.0 | 50.0 | 0 | -1.95 | 75.0 | 75.0 |
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