Virginia-Lynchburg
Also known as: Virginia-Lynchburg
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 → | 969 (#300) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 959 (#381) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 984 (#503) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -8.1 (#477) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.209 (#580) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.006 (#679) | AdjNet -43.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.005 (#680) | AdjNet -47.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.080 (#672) | AdjO 36.7 | AdjD 63.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.453 (#469) | AdjO 61.6 | AdjD 63.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.386 (#466) | 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 → | 0.395 (#461) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 942 (#382) | RD 323 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DaNiya Warren McClure | - | 1 | 38.6 | 18.0 | 8.0 | 0.0 | 4.0 | 0.0 | 4.0 | 18.0 | 8.0 | - | - | - | 33.3 | 50.0 | 83.3 | - | 43.6 | 36.1 |
| Raegan Mason | - | 1 | 26.3 | 9.0 | 5.0 | 1.0 | 0.0 | 1.0 | 3.0 | 8.0 | 5.0 | - | - | - | 50.0 | 0.0 | 50.0 | - | 50.7 | 50.0 |
| Princess Akojenu | - | 1 | 18.1 | 8.0 | 3.0 | 1.0 | 3.0 | 0.0 | 4.0 | 7.0 | 4.0 | - | - | - | 57.1 | 0.0 | 0 | - | 57.1 | 57.1 |
| Lovely Tua-Link | - | 1 | 28.9 | 6.0 | 6.0 | 5.0 | 2.0 | 1.0 | 3.0 | 8.0 | 9.0 | - | - | - | 25.0 | 50.0 | 50.0 | - | 33.8 | 31.2 |
| Aletha Bearfield | - | 1 | 24.3 | 6.0 | 1.0 | 0.0 | 4.0 | 0.0 | 3.0 | 8.0 | 0.0 | - | - | - | 37.5 | 0 | 0.0 | - | 33.8 | 37.5 |
| Paris Alana Jones | - | 1 | 23.4 | 5.0 | 5.0 | 0.0 | 0.0 | 0.0 | 3.0 | 4.0 | 3.0 | -17 | -1.2 | -84.8 | 50.0 | 0 | 50.0 | 0.93 | 51.2 | 50.0 |
| Zyaire Hairston | - | 1 | 22.3 | 3.0 | 1.0 | 0.0 | 2.0 | 0.0 | 2.0 | 3.0 | 1.0 | - | - | - | 33.3 | 50.0 | 0 | - | 50.0 | 50.0 |
| Jamilah Hayes | - | 1 | 18.1 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | 1.0 | - | - | - | 33.3 | 0.0 | 50.0 | - | 38.7 | 33.3 |
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