Virginia Tech Hokies
2024 Team Stats (34 games)
74.9
PPG
71.0
Opp
+3.9
Margin
46.5%
FG%
34.8%
3P%
79.3%
FT%
32.4
RPG
15.1
APG
11.1
TO
75.2
Pace
Model Outputs
2023-2024
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 → | 1248 (#69) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1237 (#104) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +31.3 (#82) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.513 (#60) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.651 (#99) | NetEff +5.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.588 (#58) | AdjNet +3.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.590 (#58) | AdjNet +3.1 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Pedulla
|
G | 32 | 32.2 | 16.4 | 4.2 | 4.6 | 1.2 | 0.1 | 3.2 | 12.7 | 10.6 | 45 | 4.5 | 5.7 | 42.4 | 32.5 | 80.1 | 0.7 | 55.2 | 48.9 |
H. Cattoor
|
- | 33 | 33.2 | 13.5 | 2.8 | 1.9 | 0.9 | 0.2 | 1.2 | 9.0 | 9.2 | 32 | 3.2 | 4.1 | 44.9 | 40.5 | 89.3 | 0.38 | 64.7 | 58.6 |
L. Kidd
|
C | 33 | 23.2 | 13.2 | 6.5 | 1.1 | 0.5 | 0.4 | 1.3 | 8.0 | 12.4 | 35 | 3.9 | 7.7 | 66.8 | 0 | 84.2 | 0.45 | 70.7 | 66.8 |
T. Nickel
|
F | 33 | 24.3 | 8.8 | 2.2 | 1.3 | 0.5 | 0.2 | 0.7 | 6.6 | 5.8 | 37 | 1.3 | 7.0 | 43.8 | 39.9 | 82.0 | 0.05 | 60.6 | 57.3 |
MJ Collins
|
G | 32 | 29.6 | 7.4 | 2.8 | 2.7 | 0.9 | 0.1 | 1.2 | 7.8 | 5.0 | 18 | 1.8 | 2.1 | 34.3 | 28.0 | 84.4 | 0.46 | 44.4 | 40.3 |
Mylyjael Poteat
|
F | 34 | 14.5 | 6.4 | 3.5 | 0.7 | 0.3 | 0.2 | 0.9 | 3.9 | 6.4 | -20 | -1.7 | -5.6 | 64.4 | 0 | 67.1 | -0.21 | 66.7 | 64.4 |
R. Beran
|
- | 34 | 22.3 | 5.6 | 3.9 | 1.1 | 0.6 | 0.9 | 1.0 | 4.6 | 6.5 | 54 | 5.4 | 10.0 | 44.2 | 31.6 | 80.0 | 0.77 | 55.7 | 52.2 |
M. Long
|
- | 18 | 18.6 | 3.7 | 4.9 | 1.0 | 0.4 | 0.3 | 1.1 | 3.4 | 5.8 | - | - | - | 41.9 | 0.0 | 50.0 | - | 44.5 | 41.9 |
J. Camden
|
F | 14 | 4.4 | 1.9 | 1.0 | 0.1 | 0.1 | 0.0 | 0.4 | 1.4 | 1.3 | 2 | 0.4 | 11.4 | 36.8 | 46.7 | 71.4 | 0.01 | 58.9 | 55.3 |
Jaydon Young
|
G | 26 | 8.5 | 1.8 | 0.8 | 0.7 | 0.2 | 0.0 | 0.2 | 1.7 | 1.8 | -30 | -3.3 | -14.2 | 34.9 | 37.5 | 100.0 | -0.31 | 52.6 | 48.8 |
Brandon Rechsteiner
|
G | 26 | 9.1 | 1.8 | 0.7 | 1.3 | 0.2 | 0.0 | 0.7 | 1.7 | 1.6 | 29 | 1.5 | 72.7 | 37.2 | 27.3 | 75.0 | -0.22 | 50.5 | 47.7 |
P. Wessler
|
F | 13 | 4.0 | 0.9 | 1.5 | 0.2 | 0.1 | 0.3 | 0.2 | 1.0 | 1.8 | -13 | -2.2 | -19.4 | 38.5 | 0.0 | 50.0 | -0.2 | 40.7 | 38.5 |
M. Ward
|
- | 3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.3 | -2 | -2.0 | -60.8 | 0.0 | 0.0 | 0 | -0.05 | 0.0 | 0.0 |
Conner Venable
|
G | 4 | 1.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.2 | -2 | -2.0 | -60.8 | 0.0 | 0.0 | 0.0 | -0.05 | 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