Virginia Cavaliers
2023 Team Stats (29 games)
67.4
PPG
59.8
Opp
+7.3
Margin
44.8%
FG%
34.5%
3P%
69.5%
FT%
32.4
RPG
16.0
APG
8.4
TO
70.2
Pace
Model Outputs
2022-2023
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 → | 1472 (#20) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1431 (#22) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.2 (#49) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.678 (#18) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.800 (#25) | NetEff +12.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.598 (#52) | AdjNet +3.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.597 (#52) | AdjNet +3.4 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Gardner
|
- | 30 | 26.7 | 12.4 | 6.1 | 0.6 | 0.9 | 0.5 | 0.8 | 10.0 | 9.7 | - | - | - | 51.0 | 0.0 | 68.4 | - | 54.3 | 51.0 |
A. Franklin
|
- | 30 | 28.8 | 11.7 | 4.1 | 1.5 | 0.8 | 0.4 | 0.9 | 10.0 | 7.6 | 13 | 1.0 | 1.3 | 41.0 | 36.7 | 70.4 | 1.09 | 53.0 | 50.2 |
K. Clark
|
- | 30 | 32.8 | 10.6 | 2.6 | 5.6 | 1.1 | 0.1 | 2.0 | 8.2 | 9.8 | 3 | 0.2 | 0.9 | 38.6 | 34.4 | 77.4 | 0.23 | 53.1 | 45.3 |
R. Beekman
|
- | 29 | 32.3 | 9.4 | 3.0 | 5.1 | 1.7 | 0.5 | 1.6 | 7.9 | 10.3 | - | - | - | 41.7 | 33.8 | 78.7 | - | 52.3 | 46.9 |
I. McKneely
|
- | 30 | 22.0 | 7.2 | 2.4 | 0.7 | 0.4 | 0.1 | 0.6 | 5.7 | 4.5 | 20 | 1.5 | 2.2 | 43.3 | 40.0 | 73.9 | 1.07 | 59.4 | 57.9 |
B. Vander Plas
|
- | 26 | 24.6 | 6.9 | 4.5 | 1.4 | 0.7 | 0.4 | 0.7 | 6.6 | 6.7 | - | - | - | 40.1 | 30.7 | 37.9 | - | 48.7 | 49.1 |
Kadin Shedrick
|
- | 26 | 17.1 | 5.8 | 4.0 | 0.6 | 0.8 | 1.5 | 0.6 | 3.3 | 8.7 | - | - | - | 60.9 | 0.0 | 84.6 | - | 68.3 | 60.9 |
R. Dunn
|
- | 28 | 13.4 | 2.8 | 3.1 | 0.3 | 0.5 | 1.1 | 0.5 | 2.1 | 5.2 | - | - | - | 52.5 | 26.7 | 52.4 | - | 56.4 | 55.9 |
F. Caffaro
|
- | 17 | 8.1 | 2.1 | 1.8 | 0.2 | 0.1 | 0.0 | 0.5 | 1.1 | 2.6 | - | - | - | 72.2 | 0 | 55.6 | - | 69.4 | 72.2 |
Taine Murray
|
- | 13 | 7.2 | 1.4 | 0.9 | 0.2 | 0.0 | 0.2 | 0.2 | 1.5 | 1.0 | - | - | - | 31.6 | 16.7 | 66.7 | - | 41.6 | 36.8 |
C. Coleman
|
- | 7 | 4.0 | 1.0 | 0.1 | 0.6 | 0.0 | 0.0 | 0.3 | 1.1 | 0.3 | - | - | - | 25.0 | 33.3 | 33.3 | - | 37.6 | 37.5 |
Tristan How
|
- | 4 | 2.5 | 0.8 | 1.8 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.5 | - | - | - | 25.0 | 0 | 25.0 | - | 26.0 | 25.0 |
D. Harris
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -2 | -0.2 | -1.1 | - | - | - | 0.77 | - | - |
I. Traudt
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -34 | -2.8 | -4.3 | - | - | - | 0.41 | - | - |
L. Bond III
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -17 | -1.1 | -1.3 | - | - | - | 0.98 | - | - |
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