🐻⬇️🏀

Virginia Tech Hokies

Also known as: Virginia Tech Hokies
Program History

2025 Team Stats (5 games)

68.8
PPG
80.8
Opp
-12.0
Margin
42.5%
FG%
35.9%
3P%
71.8%
FT%
30.8
RPG
13.2
APG
15.4
TO
83.5
Pace
79.2
AdjO
62.5
AdjD
#44
Rank

Model Outputs

2024-2025
Catalog

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 → 1030 (#155) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1201 (#71) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +16.9 (#46) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.704 (#100) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → 0.704 (#99) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +24.8 More → 0.946 (#47) AdjNet +24.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +25.5 More → 0.951 (#46) AdjNet +25.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.2 | AdjD 62.5 More → 0.821 (#44) AdjO 79.2 | AdjD 62.5

2025 Schedule & Results

Date Vs/At Opponent Result Score
2024-12-08 @ Duke Blue Devils L 59 - 81
2025-01-09 @ Georgia Tech Yellow Jackets W 105 - 94
2025-01-26 @ NC State Wolfpack L 57 - 85
2025-01-30 vs Notre Dame Fighting Irish L 61 - 77
2025-02-13 @ North Carolina Tar Heels L 62 - 67

2025 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%
C. Baker C. Baker F 5 39.0 15.4 7.2 1.8 0.4 0.8 1.6 11.0 13.0 65 2.0 2.2 56.4 47.1 77.8 1.66 65.3 63.6
C. Wenzel C. Wenzel G 5 30.4 15.0 2.6 3.6 1.2 0.4 3.6 14.2 5.0 34 1.1 1.2 33.8 40.9 66.7 0.48 45.2 40.1
S. Suffren S. Suffren G 1 21.0 10.0 6.0 3.0 1.0 0.0 0.0 5.0 15.0 28 2.8 4.9 60.0 0 100.0 -0.06 74.0 60.0
M. Ekh M. Ekh G 5 36.6 9.4 2.6 2.0 0.8 0.2 1.6 8.8 4.6 33 1.0 1.2 38.6 30.4 75.0 0.94 49.5 46.6
R. Micheaux R. Micheaux F 5 28.2 9.2 5.6 1.2 0.4 0.6 2.2 10.0 4.8 20 0.7 0.9 44.0 0 40.0 0.26 44.1 44.0
L. White L. White G 5 28.8 8.4 3.8 1.2 0.6 0.2 3.0 7.2 4.0 69 2.0 2.9 44.4 40.0 80.0 1.02 52.0 47.2
M. Nelson M. Nelson G 5 22.4 6.4 2.0 1.8 0.6 0.0 1.8 5.4 3.6 30 0.9 1.3 37.0 40.0 83.3 0.75 49.6 40.7
L. Wells L. Wells G 3 9.7 2.3 1.7 0.7 0.7 0.0 0.3 2.3 2.7 41 1.6 5.9 42.9 0.0 33.3 0.16 42.1 42.9
K. Petersen K. Petersen F 5 13.6 1.6 1.6 0.6 0.2 1.0 0.6 2.2 2.2 36 1.1 2.0 36.4 0.0 0 0.83 36.4 36.4
R. White R. White C 1 5.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 21 1.4 9.6 0 0 0 -0.63 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