Texas Tech
2019 Team Stats (28 games)
72.3
PPG
60.1
Opp
+12.2
Margin
46.4%
FG%
35.6%
3P%
74.8%
FT%
33.7
RPG
13.6
APG
12.3
TO
-
Est. poss./game
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 โ | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1525 (#21) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +40.4 (#15) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.788 (#14) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More โ | 0.826 (#4) | NetEff +13.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.944 (#6) | AdjNet +24.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jarrett Culver
|
- | 37 | 32.4 | 18.5 | 6.4 | 3.7 | 1.5 | 0.5 | 2.6 | 12.7 | 15.2 | - | - | - | - | 46.8 | 27.1 | 72.2 | - | 62.5 | 50.9 |
Davide Moretti
|
G | 37 | 31.6 | 11.7 | 2.1 | 2.4 | 1.1 | 0.0 | 1.3 | 6.2 | 9.9 | - | - | - | - | 49.6 | 47.7 | 92.4 | - | 80.8 | 63.4 |
Matt Mooney
|
G | 37 | 31.0 | 11.4 | 3.1 | 3.3 | 1.8 | 0.1 | 2.4 | 8.4 | 8.9 | - | - | - | - | 41.7 | 37.7 | 77.1 | - | 61.9 | 48.2 |
Tariq Owens
|
F | 37 | 25.4 | 8.6 | 5.6 | 0.8 | 0.5 | 2.3 | 1.0 | 5.0 | 11.7 | - | - | - | - | 60.2 | 24.1 | 79.5 | - | 72.7 | 62.1 |
Brandone Francis
|
G | 37 | 23.8 | 6.4 | 2.4 | 1.3 | 0.8 | 0.2 | 0.9 | 5.4 | 4.7 | - | - | - | - | 36.0 | 32.5 | 65.6 | - | 55.1 | 45.2 |
Kyler Edwards
|
G | 37 | 17.8 | 5.4 | 2.3 | 1.1 | 0.6 | 0.2 | 0.8 | 3.8 | 4.9 | - | - | - | - | 39.6 | 47.5 | 68.4 | - | 63.9 | 50.0 |
Deshawn Corprew
|
F | 36 | 13.4 | 4.8 | 3.3 | 0.4 | 0.4 | 0.2 | 0.8 | 3.1 | 5.2 | - | - | - | - | 54.5 | 38.6 | 66.7 | 2.1 | 72.5 | 62.1 |
Norense Odiase
|
C | 36 | 17.8 | 4.2 | 5.5 | 0.3 | 0.4 | 0.9 | 0.9 | 2.4 | 8.1 | - | - | - | - | 58.6 | 0 | 64.7 | - | 69.4 | 58.6 |
Malik Ondigo
|
F | 17 | 5.9 | 1.4 | 1.2 | 0.1 | 0.0 | 0.2 | 0.5 | 0.6 | 1.7 | - | - | - | - | 36.4 | 0.0 | 25.0 | - | 90.1 | 36.4 |
Parker Hicks
|
G | 16 | 3.1 | 1.0 | 0.8 | 0.0 | 0.1 | 0.1 | 0.2 | 0.8 | 1.0 | - | - | - | - | 25.0 | 12.5 | 80.0 | - | 56.3 | 29.2 |
Josh Mballa
|
- | 16 | 3.6 | 0.8 | 0.3 | 0.1 | 0.1 | 0.1 | 0.2 | 0.4 | 0.9 | - | - | - | - | 42.9 | 0.0 | 35.7 | - | 49.4 | 42.9 |
Avery Benson
|
G | 20 | 3.5 | 0.6 | 0.6 | 0.2 | 0.2 | 0.1 | 0.3 | 0.6 | 0.9 | - | - | - | - | 33.3 | 0.0 | 20.0 | - | 38.7 | 33.3 |
Andrew Sorrells
|
G | 17 | 3.4 | 0.5 | 0.2 | 0.1 | 0.1 | 0.0 | 0.1 | 0.7 | 0.2 | - | - | - | - | 16.7 | 11.1 | 66.7 | - | 33.8 | 20.8 |
Khavon 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
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