Norfolk St.
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 (#235) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1019 (#355) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 994 (#501) | HCA +56 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.2 (#98) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#17) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.981 (#71) | AdjNet +34.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.985 (#66) | AdjNet +34.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.941 (#37) | AdjO 94.9 | AdjD 64.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.704 (#103) | AdjO 82.9 | AdjD 73.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.840 (#64) | 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 → | 0.792 (#88) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1088 (#211) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Devon Ellis | - | 1 | 26.2 | 19.0 | 4.0 | 0.0 | 4.0 | 1.0 | 0.0 | 12.0 | 16.0 | - | - | - | 66.7 | 50.0 | 40.0 | - | 66.9 | 70.8 |
| Anthony McComb III | - | 1 | 26.5 | 18.0 | 3.0 | 1.0 | 3.0 | 0.0 | 1.0 | 9.0 | 15.0 | - | - | - | 55.6 | 40.0 | 75.0 | - | 71.9 | 66.7 |
| Jordan Leaks | - | 1 | 27.5 | 15.0 | 3.0 | 6.0 | 4.0 | 0.0 | 1.0 | 11.0 | 16.0 | - | - | - | 45.5 | 42.9 | 100.0 | - | 63.1 | 59.1 |
| Adrean Newton | - | 1 | 19.2 | 14.0 | 5.0 | 3.0 | 3.0 | 0.0 | 1.0 | 10.0 | 14.0 | - | - | - | 60.0 | 100.0 | 0 | - | 70.0 | 70.0 |
| Keyontae Lewis | - | 1 | 14.3 | 12.0 | 6.0 | 2.0 | 1.0 | 0.0 | 0.0 | 5.0 | 16.0 | - | - | - | 100.0 | 0 | 100.0 | - | 102.0 | 100.0 |
| Elijah Jamison | - | 1 | 21.9 | 10.0 | 2.0 | 4.0 | 2.0 | 0.0 | 1.0 | 9.0 | 8.0 | - | - | - | 55.6 | 0.0 | 0 | - | 55.6 | 55.6 |
| My'kel Jenkins | - | 1 | 16.9 | 9.0 | 3.0 | 0.0 | 2.0 | 1.0 | 1.0 | 8.0 | 6.0 | - | - | - | 50.0 | 50.0 | 0 | - | 56.2 | 56.2 |
| Melo Baines | - | 1 | 12.9 | 7.0 | 7.0 | 0.0 | 0.0 | 0.0 | 1.0 | 6.0 | 7.0 | - | - | - | 50.0 | 0 | 100.0 | - | 54.3 | 50.0 |
| Jaquel Morris | - | 1 | 12.8 | 3.0 | 7.0 | 0.0 | 0.0 | 3.0 | 0.0 | 2.0 | 11.0 | -8 | -0.4 | -5.6 | 50.0 | 0 | 50.0 | -3.52 | 52.1 | 50.0 |
| Ahmad Torrence | - | 1 | 14.7 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | -1.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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