Texas
2019 Team Stats (9 games)
67.9
PPG
71.1
Opp
-3.2
Margin
40.8%
FG%
30.9%
3P%
71.5%
FT%
34.4
RPG
11.4
APG
10.3
TO
-
Est. poss./game
73.7
Adj PPG
60.5
Adj Opp PPG
#25
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 | 1174 (#54) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1097 (#51) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +14.4 (#24) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +15.6 (#18) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.683 (#65) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.925 (#21) | AdjNet +21.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.926 (#22) | AdjNet +21.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.768 (#25) | AdjO 73.7 | AdjD 60.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.710 (#23) | AdjO 71.1 | AdjD 61.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.825 (#24) | 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 | 0.816 (#23) | 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 | 1222 (#37) | RD 84 | GP 37 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kerwin Roach
|
G | 29 | 29.8 | 15.0 | 4.2 | 3.4 | 1.2 | 0.3 | 2.3 | 4.3 | 17.4 | 210 | 29 | 7.2 | 10.6 | 42.9 | 33.9 | 80.0 | 8.05 | 146.6 | 50.4 |
Dylan Osetkowski
|
F | 34 | 28.5 | 11.2 | 7.1 | 1.3 | 1.4 | 0.4 | 1.0 | 3.1 | 17.2 | 127 | 34 | 3.7 | 5.7 | 45.3 | 28.9 | 78.9 | 1.18 | 155.2 | 50.5 |
Jaxson Hayes
|
- | 29 | 23.5 | 10.2 | 5.0 | 0.3 | 0.6 | 2.2 | 0.9 | 1.9 | 15.6 | 90 | 30 | 3.0 | 5.7 | 72.7 | 0 | 78.0 | 0.62 | 192.9 | 72.7 |
Matt Coleman
|
G | 34 | 30.8 | 9.9 | 2.1 | 3.3 | 0.8 | 0.1 | 1.7 | 3.4 | 11.1 | 96 | 35 | 2.7 | 4.0 | 40.4 | 29.7 | 75.8 | 1.15 | 131.5 | 45.2 |
Jase Febres
|
G | 34 | 26.8 | 8.6 | 3.0 | 0.4 | 0.5 | 0.2 | 0.7 | 2.9 | 9.2 | 97 | 35 | 2.8 | 4.6 | 33.0 | 35.0 | 50.0 | 2.54 | 144.5 | 47.4 |
Courtney Ramey
|
- | 34 | 25.4 | 7.8 | 3.3 | 2.8 | 0.9 | 0.2 | 1.9 | 2.3 | 10.7 | 96 | 35 | 2.7 | 4.8 | 29.1 | 25.0 | 77.8 | 0.76 | 159.1 | 36.1 |
Elijah Mitrou-Long
|
G | 33 | 17.4 | 5.3 | 2.2 | 1.4 | 0.8 | 0.1 | 0.8 | 1.8 | 7.2 | 48 | 33 | 1.5 | 3.5 | 25.9 | 28.6 | 41.7 | -0.47 | 138.3 | 34.5 |
Jericho Sims
|
- | 32 | 14.1 | 3.8 | 3.6 | 0.2 | 0.2 | 0.5 | 0.8 | 0.8 | 6.7 | 13 | 32 | 0.4 | 1.1 | 66.7 | 0 | 61.5 | -2.24 | 188.0 | 66.7 |
Andrew Jones
|
G | 1 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Royce Hamm
|
F | 20 | 7.4 | 2.0 | 2.3 | 0.1 | 0.1 | 0.4 | 0.5 | 0.5 | 4.0 | 15 | 20 | 0.8 | 4.5 | 22.2 | 0 | 100.0 | -0.31 | 202.4 | 22.2 |
Gerald Liddell
|
- | 11 | 7.0 | 1.5 | 1.4 | 0.2 | 0.0 | 0.3 | 0.4 | 0.0 | 2.9 | 9 | 12 | 0.8 | 4.5 | 0 | 0 | 0 | 0.1 | 0 | 0 |
Kamaka Hepa
|
- | 24 | 9.2 | 1.3 | 1.5 | 0.4 | 0.0 | 0.2 | 0.2 | 0.1 | 3.0 | -4 | 26 | -0.2 | -0.7 | 0.0 | 0.0 | 0 | -2.63 | 516.7 | 0.0 |
Blake Nevins
|
- | 6 | 1.0 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Drayton Whiteside
|
G | 6 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.3 | -8 | 6 | -1.3 | -48.2 | 0 | 0 | 0 | -1.89 | 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