Virginia Tech
2022 Team Stats (5 games)
72.8
PPG
62.9
Opp
+7.8
Margin
47.8%
FG%
40.6%
3P%
80.8%
FT%
31.8
RPG
14.8
APG
10.2
TO
72.2
Pace
Model Outputs
2021-2022
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 → | 1325 (#64) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1349 (#70) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1165 (#15) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.2 (#55) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +29.1 (#10) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.709 (#20) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.780 (#39) | NetEff +11.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.797 (#22) | AdjNet +11.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.801 (#22) | AdjNet +12.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.747 (#16) | AdjO 73.2 | AdjD 61.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.927 (#18) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.912 (#18) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1256 (#41) | RD 105 | GP 34 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Aluma
|
F | 15 | 30.8 | 16.5 | 5.9 | 2.2 | 0.7 | 1.3 | 1.7 | 6.5 | 18.5 | 171 | 4.8 | 6.1 | 55.7 | 41.2 | 70.0 | 1.31 | 112.1 | 59.3 |
J. Mutts
|
- | 34 | 29.9 | 10.3 | 7.3 | 3.5 | 1.1 | 1.0 | 2.7 | 2.2 | 18.2 | 179 | 5.0 | 6.7 | 55.4 | 16.7 | 61.8 | 1.11 | 197.3 | 56.8 |
H. Cattoor
|
- | 34 | 33.1 | 10.3 | 4.0 | 2.1 | 1.1 | 0.2 | 1.0 | 2.5 | 14.2 | - | - | - | 50.6 | 49.1 | 76.5 | 1.34 | 189.2 | 67.1 |
S. Murphy
|
G | 15 | 27.4 | 8.7 | 2.1 | 3.0 | 0.3 | 0.0 | 1.9 | 4.1 | 8.1 | 173 | 4.8 | 7.4 | 50.0 | 46.9 | 85.7 | 1.21 | 99.9 | 62.1 |
N. Alleyne
|
- | 25 | 30.6 | 8.4 | 2.8 | 1.2 | 0.5 | 0.0 | 1.1 | 2.1 | 9.8 | - | - | - | 34.6 | 25.0 | 100.0 | 1.16 | 190.6 | 40.4 |
Darius Maddox
|
- | 25 | 17.4 | 6.0 | 2.1 | 0.4 | 0.3 | 0.3 | 0.6 | 2.2 | 6.4 | 227 | 6.3 | 14.3 | 38.9 | 38.1 | 62.5 | 2.38 | 131.3 | 46.3 |
S. Pedulla
|
G | 34 | 13.4 | 5.6 | 1.2 | 1.3 | 0.6 | 0.0 | 0.9 | 1.5 | 6.3 | 125 | 3.6 | 10.4 | 41.2 | 51.6 | 96.2 | 0.99 | 152.9 | 56.9 |
N. Bohannon
|
F | 1 | 12.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 18 | 0.5 | 1.0 | 0 | 0 | 0 | 0.34 | 0 | 0 |
J. Carter Jr.
|
G | 1 | 23.0 | 4.0 | 5.0 | 2.0 | 1.0 | 0.0 | 2.0 | 0.0 | 10.0 | -91 | -3.6 | -6.8 | 0 | 0 | 0 | 2.05 | 0 | 0 |
R. Njoku
|
F | 1 | 17.0 | 4.0 | 6.0 | 1.0 | 0.0 | 2.0 | 2.0 | 0.0 | 11.0 | -26 | -0.8 | -1.8 | 0 | 0 | 0 | -0.42 | 0 | 0 |
M. Klanjscek
|
- | 1 | 13.0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 5.0 | - | - | - | 0 | 0 | 0 | -0.88 | 0 | 0 |
C. Efretuei
|
C | 1 | 9.0 | 4.0 | 4.0 | 0.0 | 0.0 | 1.0 | 1.0 | 0.0 | 8.0 | -30 | -1.6 | -6.7 | 0 | 0 | 0 | -0.15 | 0 | 0 |
David N'Guessan
|
- | 25 | 13.0 | 3.8 | 2.2 | 0.5 | 0.2 | 0.4 | 0.5 | 0.8 | 5.8 | 106 | 2.9 | 8.5 | 61.9 | 50.0 | 63.6 | 1.04 | 181.9 | 64.3 |
Ginika Ojiako
|
- | 7 | 8.6 | 3.7 | 3.0 | 0.1 | 0.0 | 0.4 | 0.4 | 0.9 | 6.0 | - | - | - | 66.7 | 0 | 0 | - | 216.7 | 66.7 |
J. Jones
|
F | 1 | 10.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 80 | 2.4 | 3.6 | 0 | 0 | 0 | 0.3 | 0 | 0 |
B. Varga
|
G | 5 | 1.6 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | -0.2 | - | - | - | 25.0 | 33.3 | 0 | - | 37.5 | 37.5 |
L. Kidd
|
C | 9 | 2.3 | 0.4 | 1.1 | 0.0 | 0.0 | 0.2 | 0.3 | 0.2 | 1.2 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
C. Johnson
|
- | 9 | 1.6 | 0.3 | 0.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.6 | - | - | - | 50.0 | 100.0 | 0 | 0.41 | 75.0 | 75.0 |
J. Haynes
|
- | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Samberg
|
G | 1 | 9.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 38 | 1.5 | 7.2 | 0 | 0 | 0 | 0.16 | 0 | 0 |
C. Silva
|
G | 1 | 9.0 | 0.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 25 | 0.8 | 3.5 | 0 | 0 | 0 | 0.36 | 0 | 0 |
S. Ihekwoaba
|
G | 1 | 7.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -40 | -1.5 | -4.1 | 0 | 0 | 0 | -0.15 | 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