Virginia Tech
2015 Team Stats (9 games)
60.8
PPG
72.5
Opp
-10.5
Margin
42.6%
FG%
36.7%
3P%
65.2%
FT%
26.4
RPG
11.0
APG
11.3
TO
70.0
Pace
Model Outputs
2014-2015
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 → | 1510 (#60) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1506 (#49) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.3 (#47) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.094 (#92) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.100 (#62) | NetEff -19.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.632 (#51) | AdjNet +4.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.646 (#51) | AdjNet +5.2 |
2015 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2014-11-19 | vs | Liberty Flames | W | 73 - 63 |
| 2014-12-30 | @ | West Virginia Mountaineers | L | 51 - 82 |
| 2015-01-13 | @ | Louisville Cardinals | L | 63 - 78 |
| 2015-01-18 | @ | North Carolina Tar Heels | L | 53 - 68 |
| 2015-01-22 | vs | Notre Dame Fighting Irish | L | 60 - 85 |
| 2015-01-25 | vs | Virginia Cavaliers | L | 47 - 50 |
| 2015-02-25 | vs | Duke Blue Devils | L | 86 - 91 |
| 2015-02-28 | @ | Virginia Cavaliers | L | 57 - 69 |
| 2015-03-10 | @ | Wake Forest Demon Deacons | W | 81 - 80 |
| 2015-03-11 | @ | Miami Hurricanes | L | 49 - 59 |
2015 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Smith
|
G | 10 | 27.8 | 12.3 | 2.8 | 0.6 | 0.6 | 0.0 | 0.7 | 9.2 | 6.4 | -28 | -1.4 | -2.3 | 41.3 | 41.1 | 78.6 | 0.32 | 62.7 | 53.8 |
J. Hudson
|
G | 10 | 19.8 | 9.6 | 2.3 | 1.1 | 0.6 | 0.4 | 1.8 | 7.8 | 4.4 | 48 | 6.0 | 10.3 | 41.0 | 38.1 | 65.4 | 0.96 | 53.7 | 46.2 |
J. van Zegeren
|
F | 2 | 24.5 | 9.5 | 6.0 | 0.0 | 0.5 | 0.5 | 2.0 | 1.0 | 13.5 | - | - | - | 50.0 | 0 | 0 | - | 475.0 | 50.0 |
A. Hill
|
G | 10 | 29.7 | 9.2 | 3.3 | 1.9 | 0.6 | 0.1 | 1.5 | 8.0 | 5.6 | 23 | 2.9 | 4.1 | 38.8 | 42.9 | 70.0 | 0.48 | 51.8 | 46.2 |
J. Bibbs
|
G | 7 | 30.9 | 7.9 | 2.4 | 2.1 | 0.1 | 0.0 | 2.7 | 8.4 | 1.4 | - | - | - | 32.2 | 21.7 | 50.0 | - | 45.3 | 36.4 |
D. Wilson
|
G | 10 | 33.7 | 6.9 | 3.1 | 4.3 | 1.1 | 0.0 | 2.4 | 4.1 | 8.9 | - | - | - | 48.8 | 12.5 | 71.4 | - | 68.7 | 50.0 |
M. Muller
|
G | 10 | 19.6 | 6.2 | 2.2 | 1.3 | 1.3 | 0.1 | 1.0 | 5.1 | 5.0 | - | - | - | 39.2 | 37.0 | 100.0 | - | 59.3 | 49.0 |
C. Beyer
|
F | 9 | 11.2 | 3.9 | 2.9 | 0.0 | 0.4 | 0.0 | 0.2 | 2.2 | 4.8 | - | - | - | 75.0 | 100.0 | 57.1 | - | 75.8 | 77.5 |
S. Pierce
|
F | 10 | 18.1 | 3.6 | 2.5 | 0.5 | 0.3 | 0.9 | 1.5 | 2.4 | 3.9 | - | - | - | 66.7 | 0 | 50.0 | - | 65.4 | 66.7 |
W. Johnston
|
G | 9 | 10.2 | 2.0 | 0.6 | 0.2 | 0.1 | 0.1 | 0.0 | 2.2 | 0.8 | 15 | 1.1 | 1.6 | 30.0 | 37.5 | 0 | 1.29 | 45.0 | 45.0 |
S. Henry
|
F | 8 | 10.0 | 1.9 | 2.4 | 0.1 | 0.1 | 0.6 | 0.6 | 1.5 | 3.0 | - | - | - | 50.0 | 0 | 33.3 | - | 47.0 | 50.0 |
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