Texas
2018 Team Stats (12 games)
72.4
PPG
75.2
Opp
-0.7
Margin
44.2%
FG%
35.7%
3P%
66.8%
FT%
35.7
RPG
11.8
APG
12.0
TO
78.9
Pace
Model Outputs
2017-2018
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 → | 1564 (#35) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1591 (#6) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.9 (#23) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.558 (#31) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.464 (#37) | NetEff -1.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.867 (#8) | AdjNet +16.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.869 (#8) | AdjNet +16.4 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-11-23 | vs | Butler Bulldogs | W | 61 - 48 |
| 2017-12-29 | vs | Kansas Jayhawks | L | 86 - 92 |
| 2018-01-10 | vs | TCU Horned Frogs | W | 99 - 98 |
| 2018-01-17 | vs | Texas Tech Red Raiders | W | 67 - 58 |
| 2018-01-20 | @ | West Virginia Mountaineers | L | 51 - 86 |
| 2018-01-31 | @ | Texas Tech Red Raiders | L | 71 - 73 |
| 2018-02-03 | vs | Oklahoma Sooners | W | 79 - 74 |
| 2018-02-17 | @ | Oklahoma Sooners | W | 77 - 66 |
| 2018-02-26 | @ | Kansas Jayhawks | L | 70 - 80 |
| 2018-03-03 | vs | West Virginia Mountaineers | W | 87 - 79 |
| 2018-03-07 | vs | Iowa State Cyclones | W | 68 - 64 |
| 2018-03-08 | @ | Texas Tech Red Raiders | L | 69 - 73 |
| 2018-03-16 | @ | Nevada Wolf Pack | L | 83 - 87 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Roach
|
G | 12 | 35.8 | 15.0 | 4.3 | 4.0 | 1.5 | 0.3 | 2.8 | 11.5 | 10.8 | - | - | - | 42.8 | 41.8 | 68.4 | - | 55.2 | 51.1 |
M. Coleman III
|
G | 13 | 35.2 | 14.2 | 2.8 | 4.4 | 1.5 | 0.0 | 2.6 | 9.6 | 10.5 | 9 | 0.8 | 1.4 | 49.6 | 43.6 | 76.5 | 0.83 | 65.7 | 56.4 |
D. Osetkowski
|
F | 13 | 37.7 | 13.2 | 6.4 | 1.3 | 0.8 | 0.5 | 2.2 | 11.0 | 9.1 | - | - | - | 37.1 | 28.3 | 73.8 | - | 53.3 | 42.3 |
M. Bamba
|
- | 10 | 30.9 | 12.0 | 11.5 | 0.6 | 0.5 | 4.3 | 1.6 | 7.5 | 19.8 | - | - | - | 56.0 | 25.0 | 63.9 | - | 66.1 | 58.0 |
A. Jones
|
G | 2 | 19.0 | 10.5 | 2.0 | 0.5 | 0.0 | 0.0 | 1.5 | 8.0 | 3.5 | -80 | -4.7 | -6.9 | 50.0 | 42.9 | 100.0 | 0.52 | 62.2 | 59.4 |
E. Davis Jr.
|
G | 8 | 29.6 | 10.0 | 3.1 | 0.8 | 0.9 | 0.0 | 1.5 | 6.0 | 7.2 | 69 | 6.9 | 36.3 | 35.4 | 40.0 | 80.0 | 1.02 | 73.3 | 47.9 |
J. Young
|
G | 12 | 20.8 | 8.1 | 1.8 | 1.1 | 1.0 | 0.1 | 0.6 | 6.4 | 5.1 | - | - | - | 44.2 | 38.5 | 54.5 | 0.39 | 59.3 | 53.9 |
Jericho Sims
|
- | 13 | 22.5 | 5.4 | 4.6 | 0.2 | 0.5 | 0.4 | 1.0 | 2.9 | 7.2 | - | - | - | 60.5 | 0 | 55.6 | - | 76.2 | 60.5 |
J. Febres
|
G | 11 | 16.4 | 3.5 | 1.8 | 0.6 | 0.1 | 0.3 | 0.4 | 3.4 | 2.6 | - | - | - | 29.7 | 24.2 | 50.0 | - | 51.5 | 40.5 |
J. Banks III
|
F | 4 | 5.5 | 1.2 | 1.8 | 0.0 | 0.0 | 0.5 | 0.2 | 0.8 | 2.5 | - | - | - | 66.7 | 0 | 16.7 | -0.71 | 44.3 | 66.7 |
R. Hamm Jr.
|
F | 3 | 7.0 | 0.0 | 2.3 | 0.0 | 0.3 | 0.0 | 0.7 | 1.0 | 1.0 | 34 | 3.1 | 5.5 | 0.0 | 0.0 | 0.0 | 1.51 | 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