West Virginia Mountaineers
2022 Team Stats (14 games)
66.7
PPG
65.6
Opp
+1.1
Margin
40.4%
FG%
27.7%
3P%
68.6%
FT%
36.7
RPG
15.2
APG
15.3
TO
86.4
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 → | 1260 (#36) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1318 (#30) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +49.0 (#13) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.965 (#8) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-16 | vs | Saint Francis Red Flash | W | 86 - 33 |
| 2021-11-19 | vs | Kennesaw State Owls | W | 78 - 58 |
| 2021-11-21 | vs | Radford Highlanders | W | 83 - 31 |
| 2021-11-25 | vs | Purdue Boilermakers | W | 65 - 57 |
| 2022-01-02 | @ | Iowa State Cyclones | L | 72 - 88 |
| 2022-01-15 | @ | Texas Longhorns | L | 57 - 73 |
| 2022-01-19 | vs | Oklahoma Sooners | L | 76 - 88 |
| 2022-01-29 | vs | Baylor Bears | L | 54 - 87 |
| 2022-02-12 | @ | Baylor Bears | L | 57 - 75 |
| 2022-02-15 | @ | Kansas Jayhawks | L | 63 - 74 |
| 2022-02-20 | vs | Texas Longhorns | L | 58 - 67 |
| 2022-03-05 | vs | Iowa State Cyclones | L | 57 - 74 |
| 2022-03-10 | vs | TCU Horned Frogs | W | 68 - 48 |
| 2022-03-11 | @ | Iowa State Cyclones | L | 60 - 66 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
KK Deans
|
G | 8 | 27.0 | 13.8 | 2.4 | 3.2 | 1.5 | 0.1 | 1.6 | 11.5 | 7.9 | -41 | -3.7 | -20.4 | 39.1 | 22.2 | 93.8 | 0.21 | 51.8 | 43.5 |
E. Martinez
|
F | 13 | 24.9 | 11.9 | 7.8 | 1.8 | 1.6 | 0.6 | 2.6 | 11.9 | 9.3 | - | - | - | 44.5 | 39.1 | 80.0 | 0.24 | 48.6 | 47.4 |
J. Carson
|
G | 4 | 18.0 | 9.8 | 0.2 | 0.0 | 1.2 | 0.0 | 0.8 | 6.2 | 4.2 | - | - | - | 60.0 | 54.5 | 75.0 | 0.51 | 72.9 | 72.0 |
JJ Quinerly
|
- | 14 | 24.5 | 9.3 | 2.9 | 2.7 | 2.6 | 0.5 | 2.1 | 9.2 | 6.6 | 20 | 0.7 | 3.5 | 39.5 | 25.0 | 72.4 | 1.44 | 45.9 | 42.2 |
M. Smith
|
G | 14 | 34.4 | 7.9 | 2.8 | 4.9 | 1.1 | 0.1 | 2.8 | 9.3 | 4.8 | 15 | 0.6 | 3.8 | 33.1 | 23.5 | 72.2 | 0.94 | 40.2 | 37.7 |
K. Niblack
|
F | 12 | 16.2 | 7.0 | 3.4 | 0.4 | 0.8 | 1.0 | 1.5 | 4.8 | 6.2 | - | - | - | 46.6 | 0 | 65.2 | 0.84 | 53.7 | 46.6 |
A. Gray
|
F | 12 | 17.3 | 6.4 | 4.4 | 1.0 | 0.5 | 0.2 | 1.4 | 7.8 | 3.3 | - | - | - | 36.6 | 20.0 | 61.5 | 2.26 | 39.0 | 37.1 |
S. Samuel
|
G | 14 | 21.4 | 5.9 | 2.0 | 1.1 | 1.0 | 0.4 | 1.0 | 5.5 | 3.9 | -31 | -1.1 | -4.9 | 40.3 | 32.1 | 52.2 | 1.42 | 47.6 | 46.1 |
J. Hemingway
|
G | 14 | 23.9 | 4.6 | 3.0 | 1.1 | 0.6 | 0.2 | 1.8 | 5.4 | 2.3 | 17 | 0.8 | 5.6 | 34.7 | 20.8 | 41.2 | 1.24 | 38.8 | 38.0 |
Y. Morris
|
C | 12 | 9.0 | 3.6 | 2.9 | 0.3 | 0.2 | 1.5 | 0.6 | 1.9 | 6.0 | - | - | - | 60.9 | 0 | 75.0 | 0.64 | 67.6 | 60.9 |
B. Ejiofor
|
C | 13 | 15.8 | 2.9 | 4.6 | 0.3 | 0.7 | 0.4 | 0.5 | 3.2 | 5.3 | - | - | - | 41.5 | 0 | 50.0 | 1.02 | 42.7 | 41.5 |
J. Cunningham
|
C | 3 | 4.3 | 0.0 | 0.7 | 0.0 | 0.0 | 1.0 | 0.7 | 0.3 | 0.7 | - | - | - | 0.0 | 0 | 0 | 1.5 | 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