West Virginia Mountaineers
2023 Team Stats (11 games)
63.5
PPG
70.5
Opp
-7.0
Margin
37.9%
FG%
28.9%
3P%
69.4%
FT%
31.5
RPG
9.0
APG
12.7
TO
80.2
Pace
Model Outputs
2022-2023
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 → | 1256 (#39) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1324 (#33) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +49.1 (#14) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.965 (#8) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-24 | @ | Central Michigan Chippewas | W | 64 - 33 |
| 2022-12-31 | vs | Oklahoma Sooners | L | 77 - 98 |
| 2023-01-04 | @ | Iowa State Cyclones | L | 50 - 70 |
| 2023-01-15 | vs | Baylor Bears | W | 74 - 65 |
| 2023-02-01 | vs | Texas Longhorns | L | 56 - 69 |
| 2023-02-04 | @ | Oklahoma Sooners | L | 68 - 93 |
| 2023-02-07 | @ | Oklahoma State Cowgirls | L | 65 - 76 |
| 2023-02-11 | vs | Iowa State Cyclones | W | 73 - 60 |
| 2023-02-19 | @ | Texas Longhorns | L | 48 - 74 |
| 2023-03-10 | @ | Oklahoma State Cowgirls | L | 61 - 62 |
| 2023-03-17 | @ | Arizona Wildcats | L | 62 - 75 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
JJ Quinerly
|
- | 11 | 29.9 | 18.0 | 4.0 | 2.3 | 2.3 | 0.5 | 2.2 | 14.6 | 10.2 | - | - | - | 46.6 | 36.6 | 70.2 | - | 54.5 | 51.2 |
M. Smith
|
G | 11 | 34.3 | 13.5 | 2.4 | 2.3 | 0.9 | 0.0 | 2.1 | 13.2 | 3.7 | - | - | - | 33.1 | 36.6 | 84.6 | - | 47.3 | 43.4 |
J. Hemingway
|
G | 11 | 25.5 | 7.5 | 5.8 | 1.0 | 1.1 | 0.1 | 2.6 | 8.4 | 4.5 | - | - | - | 33.7 | 17.9 | 62.5 | - | 40.0 | 36.4 |
K. Watson
|
G | 11 | 32.3 | 6.8 | 5.0 | 1.6 | 1.7 | 0.4 | 0.7 | 8.3 | 6.5 | - | - | - | 29.7 | 20.5 | 65.0 | - | 37.6 | 34.1 |
K. Blacksten
|
F | 11 | 19.6 | 4.8 | 2.3 | 0.2 | 0.7 | 0.1 | 1.4 | 4.6 | 2.1 | - | - | - | 39.2 | 21.1 | 60.0 | - | 46.0 | 43.1 |
I. Beh
|
F | 9 | 14.8 | 4.7 | 3.0 | 0.2 | 0.9 | 1.1 | 0.8 | 3.6 | 5.6 | - | - | - | 53.1 | 0.0 | 57.1 | - | 55.0 | 53.1 |
D. Nichols
|
G | 11 | 15.5 | 3.4 | 1.4 | 0.6 | 0.9 | 0.2 | 0.6 | 2.6 | 3.2 | - | - | - | 41.4 | 36.4 | 75.0 | - | 54.0 | 48.3 |
S. Samuel
|
G | 7 | 15.7 | 3.0 | 2.1 | 0.0 | 0.6 | 0.1 | 1.6 | 2.7 | 1.6 | - | - | - | 31.6 | 0.0 | 75.0 | - | 43.2 | 31.6 |
S. Bates
|
G | 10 | 13.0 | 2.0 | 1.2 | 0.8 | 0.7 | 0.1 | 0.5 | 2.1 | 2.2 | - | - | - | 33.3 | 21.4 | 100.0 | - | 44.8 | 40.5 |
T. Diggs
|
F | 11 | 7.2 | 1.5 | 1.9 | 0.1 | 0.1 | 0.2 | 0.8 | 1.4 | 1.6 | - | - | - | 46.7 | 0 | 75.0 | - | 50.7 | 46.7 |
W. Rogers
|
G | 5 | 3.0 | 1.0 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | 1.4 | - | - | - | 25.0 | 0.0 | 75.0 | - | 43.4 | 25.0 |
M. Hunter
|
F | 4 | 1.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | -0.2 | - | - | - | 0.0 | 0 | 0.0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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