Texas Tech
2019 Team Stats (28 games)
72.3
PPG
60.9
Opp
+10.9
Margin
46.4%
FG%
35.6%
3P%
74.8%
FT%
33.7
RPG
13.6
APG
12.3
TO
75.6
Pace
Model Outputs
2018-2019
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 → | 1584 (#24) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1525 (#21) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.4 (#15) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.788 (#14) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.826 (#4) | NetEff +13.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.944 (#6) | AdjNet +24.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.945 (#6) | AdjNet +24.6 |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jarrett Culver
|
- | 31 | 32.8 | 18.5 | 6.8 | 3.6 | 1.6 | 0.5 | 2.9 | 14.5 | 13.7 | - | - | - | 45.8 | 25.8 | 72.3 | - | 55.1 | 49.6 |
D. Moretti
|
G | 31 | 32.2 | 11.7 | 2.1 | 2.3 | 1.2 | 0.0 | 1.4 | 6.9 | 9.0 | - | - | - | 50.7 | 49.6 | 91.9 | - | 72.0 | 65.1 |
M. Mooney
|
G | 31 | 31.8 | 11.6 | 2.9 | 3.3 | 1.9 | 0.1 | 2.4 | 9.4 | 8.0 | - | - | - | 42.1 | 38.2 | 80.3 | - | 56.1 | 48.8 |
T. Owens
|
F | 31 | 26.6 | 9.4 | 5.9 | 0.7 | 0.5 | 2.2 | 1.0 | 5.7 | 12.0 | -7 | -0.6 | -0.8 | 62.5 | 25.9 | 80.3 | 0.55 | 70.2 | 64.5 |
B. Francis
|
G | 31 | 24.2 | 6.3 | 2.2 | 1.2 | 0.7 | 0.2 | 0.9 | 6.0 | 3.7 | - | - | - | 34.8 | 31.8 | 65.6 | - | 48.5 | 44.1 |
K. Edwards
|
G | 31 | 17.2 | 4.8 | 2.3 | 1.1 | 0.5 | 0.2 | 0.8 | 4.1 | 4.0 | -12 | -1.5 | -8.7 | 36.7 | 42.9 | 69.4 | -0.23 | 51.8 | 46.1 |
Deshawn Corprew
|
F | 30 | 13.1 | 4.3 | 3.1 | 0.4 | 0.4 | 0.3 | 0.8 | 3.4 | 4.3 | - | - | - | 51.5 | 35.7 | 69.2 | - | 59.8 | 58.7 |
N. Odiase
|
C | 30 | 17.7 | 4.2 | 5.2 | 0.2 | 0.4 | 0.9 | 0.7 | 2.6 | 7.6 | - | - | - | 57.7 | 0 | 64.7 | - | 62.2 | 57.7 |
P. Hicks
|
G | 11 | 3.2 | 0.8 | 0.8 | 0.0 | 0.1 | 0.2 | 0.2 | 1.1 | 0.6 | - | - | - | 25.0 | 12.5 | 66.7 | - | 33.8 | 29.2 |
J. Mballa
|
- | 11 | 3.5 | 0.8 | 0.2 | 0.2 | 0.1 | 0.2 | 0.3 | 0.5 | 0.7 | - | - | - | 40.0 | 0.0 | 35.7 | - | 40.3 | 40.0 |
A. Sorrells
|
G | 12 | 3.2 | 0.6 | 0.2 | 0.2 | 0.1 | 0.0 | 0.1 | 0.9 | 0.0 | - | - | - | 18.2 | 12.5 | 66.7 | - | 28.4 | 22.7 |
M. Ondigo
|
F | 12 | 4.7 | 0.6 | 0.8 | 0.0 | 0.0 | 0.2 | 0.4 | 0.6 | 0.5 | - | - | - | 42.9 | 0.0 | 25.0 | - | 40.0 | 42.9 |
A. Benson
|
G | 14 | 3.5 | 0.5 | 0.6 | 0.2 | 0.4 | 0.0 | 0.4 | 0.7 | 0.6 | - | - | - | 30.0 | 0.0 | 20.0 | - | 28.7 | 30.0 |
K. Moore
|
G | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 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