Virginia Tech Hokies
2023 Team Stats (30 games)
71.6
PPG
58.1
Opp
+14.5
Margin
44.6%
FG%
33.7%
3P%
75.4%
FT%
37.3
RPG
14.2
APG
13.2
TO
78.3
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 → | 1234 (#44) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1278 (#51) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +38.2 (#41) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.889 (#43) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Kitley
|
- | 29 | 34.7 | 18.6 | 10.8 | 1.6 | 0.7 | 2.4 | 2.2 | 13.2 | 18.6 | - | - | - | 58.1 | 0.0 | 70.6 | - | 61.1 | 58.1 |
G. Amoore
|
G | 30 | 36.7 | 16.3 | 2.6 | 4.5 | 0.8 | 0.1 | 2.6 | 14.6 | 7.0 | - | - | - | 37.4 | 33.6 | 80.8 | - | 51.8 | 48.6 |
Taylor Soule
|
- | 30 | 29.1 | 11.1 | 5.8 | 1.8 | 1.1 | 0.2 | 2.0 | 8.4 | 9.6 | - | - | - | 50.8 | 21.1 | 68.9 | - | 55.8 | 51.6 |
K. Traylor
|
- | 30 | 30.9 | 10.7 | 3.2 | 2.7 | 1.0 | 0.2 | 2.2 | 8.4 | 7.2 | - | - | - | 42.5 | 34.3 | 78.3 | - | 54.7 | 49.2 |
C. King
|
G | 30 | 31.3 | 7.6 | 3.5 | 1.4 | 0.9 | 0.5 | 0.7 | 6.4 | 6.8 | - | - | - | 34.4 | 35.5 | 80.0 | - | 54.1 | 50.3 |
D. Gregg
|
F | 30 | 23.6 | 4.7 | 6.2 | 1.5 | 0.6 | 0.4 | 2.0 | 4.2 | 7.2 | - | - | - | 42.4 | 30.4 | 82.6 | - | 52.5 | 49.2 |
A. Owusu
|
G | 13 | 12.5 | 4.1 | 1.1 | 0.7 | 0.2 | 0.0 | 0.8 | 4.1 | 1.2 | - | - | - | 34.0 | 53.8 | 90.9 | - | 45.8 | 40.6 |
C. Dunn
|
G | 8 | 5.1 | 0.9 | 0.1 | 0.0 | 0.2 | 0.2 | 0.2 | 1.1 | 0.1 | - | - | - | 33.3 | 14.3 | 0 | - | 38.9 | 38.9 |
C. Ford
|
C | 12 | 3.8 | 0.8 | 1.2 | 0.0 | 0.0 | 0.1 | 0.2 | 0.6 | 1.4 | - | - | - | 57.1 | 0 | 100.0 | - | 63.5 | 57.1 |
T. Geiman
|
G | 25 | 7.3 | 0.8 | 0.7 | 0.6 | 0.3 | 0.1 | 0.2 | 0.7 | 1.6 | - | - | - | 41.2 | 37.5 | 0 | - | 58.8 | 58.8 |
M. Vejsicky
|
G | 6 | 2.5 | 0.8 | 0.7 | 0.0 | 0.2 | 0.0 | 0.3 | 0.8 | 0.5 | - | - | - | 20.0 | 25.0 | 100.0 | - | 42.5 | 30.0 |
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