Virginia
2026 Team Stats (35 games)
80.3
PPG
68.7
Opp
+11.6
Margin
45.9%
FG%
35.8%
3P%
72.7%
FT%
40.0
RPG
16.2
APG
10.5
TO
80.0
Pace
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 → | 1395 (#6) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1343 (#10) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1161 (#13) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +19.6 (#21) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +30.2 (#20) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.857 (#13) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.899 (#47) | NetEff +17.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.956 (#18) | AdjNet +26.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.957 (#18) | AdjNet +27.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.860 (#19) | AdjO 84.2 | AdjD 64.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.739 (#24) | AdjO 77.4 | AdjD 65.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.954 (#16) | 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 → | 0.937 (#16) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1396 (#8) | RD 104 | GP 35 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thijs De Ridder
|
- | 35 | 27.7 | 15.8 | 6.1 | 1.6 | 0.9 | 0.5 | 1.7 | 10.9 | 12.2 | 239 | 11.4 | 19.4 | 51.2 | 36.7 | 71.2 | 1.92 | 60.4 | 56.4 |
M. Thomas
|
- | 35 | 22.9 | 12.6 | 3.8 | 1.5 | 0.5 | 0.1 | 1.5 | 10.1 | 6.9 | 198 | 9.0 | 14.5 | 41.1 | 35.4 | 74.6 | 2.1 | 54.8 | 50.6 |
S. Lewis
|
- | 35 | 25.6 | 10.7 | 3.6 | 1.3 | 0.8 | 0.3 | 1.3 | 8.3 | 7.1 | 183 | 8.7 | 16.7 | 45.2 | 40.5 | 75.8 | 1.04 | 58.6 | 55.8 |
Chance Mallory
|
- | 35 | 24.0 | 9.2 | 3.7 | 3.3 | 1.6 | 0.1 | 1.1 | 6.5 | 10.4 | 182 | 8.7 | 16.9 | 42.5 | 34.2 | 76.5 | 1.42 | 57.6 | 50.9 |
J. White
|
- | 30 | 17.7 | 8.8 | 2.2 | 1.2 | 0.5 | 0.1 | 1.0 | 6.8 | 5.1 | 63 | 3.9 | 11.5 | 43.8 | 40.8 | 83.3 | 0.36 | 61.3 | 59.1 |
J. Grünloh
|
- | 35 | 20.9 | 7.1 | 5.2 | 0.6 | 0.4 | 2.3 | 0.7 | 5.1 | 9.7 | - | - | - | 53.1 | 34.5 | 57.6 | 0.69 | 59.6 | 58.7 |
U. Onyenso
|
- | 35 | 18.8 | 6.5 | 4.9 | 0.6 | 0.6 | 2.9 | 0.4 | 4.7 | 10.3 | 65 | 3.1 | 9.8 | 56.6 | 27.8 | 70.0 | 0.39 | 61.5 | 59.6 |
D. Hall
|
- | 35 | 28.6 | 5.9 | 3.7 | 4.4 | 0.9 | 0.1 | 1.3 | 4.8 | 8.9 | 198 | 9.4 | 15.9 | 40.8 | 31.4 | 82.2 | 1.26 | 54.8 | 50.3 |
D. Tillis
|
- | 30 | 15.6 | 4.0 | 2.6 | 1.4 | 0.2 | 0.0 | 0.8 | 3.5 | 4.0 | 83 | 4.9 | 15.0 | 39.0 | 35.5 | 76.2 | 0.78 | 52.5 | 49.5 |
Elijah Gertrude
|
- | 17 | 6.2 | 1.7 | 0.8 | 0.6 | 0.1 | 0.1 | 0.2 | 1.8 | 1.4 | 30 | 2.3 | 15.8 | 41.9 | 14.3 | 33.3 | 0.16 | 44.9 | 45.2 |
Martin Carrere
|
- | 16 | 4.0 | 0.8 | 0.5 | 0.3 | 0.1 | 0.1 | 0.4 | 0.8 | 0.5 | -1 | -0.1 | -1.0 | 38.5 | 16.7 | 50.0 | -0.18 | 43.2 | 42.3 |
C. Lang
|
- | 12 | 2.2 | 0.4 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.6 | 0.6 | -3 | -0.3 | -6.6 | 28.6 | 33.3 | 0.0 | -0.07 | 31.7 | 35.7 |
Owen Odom
|
- | 11 | 1.1 | 0.4 | 0.2 | 0.0 | 0.1 | 0.1 | 0.1 | 0.4 | 0.3 | -8 | -1.1 | -37.0 | 50.0 | 0.0 | 0 | -0.16 | 50.0 | 50.0 |
Silas Barksdale
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Desmond Roberts
|
- | 13 | 1.4 | 0.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.1 | 0.2 | 0.2 | -5 | -0.6 | -15.3 | 0.0 | 0.0 | 0 | -0.1 | 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