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
75.3
Adj PPG
54.9
Adj Opp PPG
#6
Scoring Rank
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 | 1397 (#3) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1245 (#2) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +21.7 (#6) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +24.7 (#2) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.910 (#4) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.978 (#5) | AdjNet +32.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.979 (#5) | AdjNet +33.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.865 (#6) | AdjO 75.3 | AdjD 54.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.838 (#2) | AdjO 76.1 | AdjD 58.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.934 (#3) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.931 (#2) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1437 (#2) | RD 86 | GP 38 |
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 | 214 | 29 | 7.4 | 9.9 | 46.8 | 27.1 | 72.2 | 4.57 | 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 | 201 | 29 | 6.9 | 9.8 | 49.6 | 47.7 | 92.4 | 3.06 | 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 | 161 | 29 | 5.6 | 7.8 | 41.7 | 37.7 | 77.1 | 0.63 | 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 | 137 | 29 | 4.7 | 8.1 | 60.2 | 24.1 | 79.5 | 0.26 | 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 | 162 | 29 | 5.6 | 10.2 | 36.0 | 32.5 | 65.6 | 2.61 | 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 | 40 | 28 | 1.4 | 3.6 | 39.6 | 47.5 | 68.4 | -1.33 | 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 | 130 | 28 | 4.6 | 15.8 | 54.5 | 38.6 | 66.7 | 4.07 | 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 | 113 | 28 | 4.0 | 10.4 | 58.6 | 0 | 64.7 | 1.58 | 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 | 3 | 12 | 0.2 | 2.2 | 36.4 | 0.0 | 25.0 | -2.06 | 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 | -15 | 9 | -1.7 | -29.0 | 25.0 | 12.5 | 80.0 | -2.12 | 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 | -18 | 10 | -1.8 | -29.3 | 42.9 | 0.0 | 35.7 | -2.42 | 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 | -21 | 12 | -1.8 | -24.2 | 33.3 | 0.0 | 20.0 | -3.34 | 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 | -2 | 10 | -0.2 | -2.9 | 16.7 | 11.1 | 66.7 | -0.56 | 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
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