Texas Tech Lady Raiders
2023 Team Stats (10 games)
65.9
PPG
74.1
Opp
-8.2
Margin
38.2%
FG%
29.4%
3P%
75.6%
FT%
32.3
RPG
11.5
APG
14.1
TO
80.8
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 → | 1258 (#37) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1409 (#13) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.8 (#36) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.815 (#69) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-11-26 | @ | Mercer Bears | W | 78 - 66 |
| 2022-12-27 | vs | Mississippi Valley State Devilettes | W | 68 - 45 |
| 2022-12-31 | vs | Iowa State Cyclones | L | 58 - 81 |
| 2023-01-04 | @ | Kansas Jayhawks | L | 59 - 77 |
| 2023-01-11 | vs | Oklahoma Sooners | L | 79 - 89 |
| 2023-01-18 | vs | Texas Longhorns | W | 68 - 64 |
| 2023-02-08 | @ | Texas Longhorns | L | 71 - 80 |
| 2023-02-15 | @ | Oklahoma Sooners | L | 57 - 84 |
| 2023-03-04 | @ | Iowa State Cyclones | L | 52 - 76 |
| 2023-03-09 | vs | Kansas State Wildcats | L | 69 - 79 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Scott
|
G | 9 | 32.2 | 19.4 | 6.6 | 1.3 | 1.7 | 0.1 | 3.2 | 14.2 | 11.7 | - | - | - | 39.8 | 35.7 | 84.1 | - | 56.2 | 47.7 |
B. Maupin
|
G | 9 | 24.1 | 11.6 | 2.8 | 1.0 | 0.8 | 0.0 | 1.3 | 9.0 | 5.8 | - | - | - | 39.5 | 29.0 | 79.5 | - | 53.0 | 45.1 |
B. Gerlich
|
F | 10 | 29.3 | 9.3 | 2.2 | 2.6 | 1.7 | 0.3 | 1.9 | 8.3 | 5.9 | - | - | - | 36.1 | 31.4 | 71.0 | - | 48.1 | 42.8 |
J. Shavers
|
G | 10 | 19.8 | 8.5 | 3.5 | 1.0 | 0.9 | 0.0 | 0.8 | 8.7 | 4.4 | - | - | - | 35.6 | 21.4 | 81.0 | - | 44.2 | 39.1 |
J. Lewis
|
C | 9 | 13.1 | 4.4 | 3.3 | 0.6 | 0.3 | 0.6 | 0.9 | 3.6 | 4.8 | - | - | - | 53.1 | 0 | 54.5 | - | 54.3 | 53.1 |
R. McKinney
|
G | 10 | 18.6 | 4.0 | 1.0 | 0.4 | 0.8 | 0.0 | 0.2 | 5.1 | 0.9 | - | - | - | 29.4 | 30.0 | 50.0 | - | 38.6 | 38.2 |
E. Tofaeono
|
C | 10 | 9.0 | 3.6 | 2.0 | 0.1 | 0.2 | 0.2 | 1.0 | 2.7 | 2.4 | - | - | - | 51.9 | 0 | 57.1 | - | 54.3 | 51.9 |
K. Ferrell
|
G | 8 | 23.6 | 3.1 | 3.9 | 3.1 | 1.6 | 1.0 | 2.6 | 3.6 | 6.5 | - | - | - | 31.0 | 20.0 | 71.4 | - | 39.0 | 34.5 |
K. Freelon
|
F | 9 | 12.9 | 2.9 | 3.2 | 0.3 | 0.8 | 0.3 | 1.1 | 2.4 | 4.0 | - | - | - | 36.4 | 0 | 71.4 | - | 46.2 | 36.4 |
S. Ukkonen
|
G | 6 | 5.0 | 1.8 | 0.5 | 0.3 | 0.0 | 0.2 | 0.3 | 1.8 | 0.7 | - | - | - | 36.4 | 14.3 | 100.0 | - | 46.3 | 40.9 |
A. Chevalier
|
G | 9 | 9.3 | 1.2 | 0.7 | 0.7 | 0.0 | 0.0 | 0.7 | 1.3 | 0.6 | - | - | - | 25.0 | 33.3 | 66.7 | - | 37.6 | 29.2 |
T. Veitenheimer
|
G | 9 | 18.7 | 0.9 | 1.3 | 1.3 | 0.8 | 0.0 | 0.3 | 0.7 | 3.3 | - | - | - | 50.0 | 25.0 | 100.0 | - | 62.1 | 58.3 |
L. Wenger
|
F | 6 | 3.5 | 0.8 | 0.8 | 0.0 | 0.0 | 0.3 | 0.5 | 0.7 | 0.8 | - | - | - | 50.0 | 0 | 50.0 | - | 51.2 | 50.0 |
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