Texas
2015 Team Stats (26 games)
67.3
PPG
63.2
Opp
+4.1
Margin
43.6%
FG%
34.8%
3P%
73.0%
FT%
38.8
RPG
13.2
APG
13.0
TO
75.8
Pace
Model Outputs
2014-2015
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 → | 1630 (#34) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1635 (#9) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.4 (#29) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.372 (#46) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.456 (#27) | NetEff -1.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.670 (#46) | AdjNet +6.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.675 (#45) | AdjNet +6.3 |
2015 Schedule & Results
2015 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
I. Taylor
|
G | 19 | 32.4 | 13.8 | 2.9 | 4.7 | 0.9 | 0.1 | 2.7 | 12.6 | 7.1 | - | - | - | 38.5 | 21.2 | 81.6 | - | 47.2 | 40.0 |
J. Holmes
|
F | 25 | 26.3 | 9.9 | 5.6 | 1.2 | 0.6 | 0.9 | 1.6 | 8.6 | 8.0 | - | - | - | 37.9 | 32.7 | 82.5 | - | 51.1 | 45.6 |
Myles Turner
|
- | 26 | 22.8 | 9.9 | 6.3 | 0.5 | 0.3 | 2.6 | 1.4 | 7.5 | 10.8 | -8 | -0.8 | -1.9 | 45.6 | 34.0 | 87.7 | 0.43 | 56.8 | 49.7 |
J. Felix
|
G | 23 | 23.6 | 9.0 | 2.2 | 1.9 | 0.3 | 0.1 | 1.5 | 7.6 | 4.5 | - | - | - | 42.3 | 39.8 | 74.1 | - | 55.4 | 53.4 |
C. Ridley
|
C | 26 | 21.7 | 8.1 | 5.5 | 0.4 | 0.3 | 1.8 | 1.4 | 5.2 | 9.6 | - | - | - | 58.2 | 0 | 59.1 | - | 60.3 | 58.2 |
D. Holland
|
G | 26 | 29.0 | 7.0 | 3.3 | 2.5 | 0.4 | 0.1 | 2.1 | 5.2 | 5.9 | - | - | - | 50.4 | 47.7 | 61.5 | - | 59.5 | 58.1 |
K. Yancy
|
G | 26 | 21.7 | 6.7 | 2.6 | 1.7 | 0.2 | 0.2 | 1.1 | 5.8 | 4.5 | - | - | - | 42.4 | 33.8 | 72.7 | - | 52.6 | 49.7 |
C. Lammert
|
F | 26 | 20.9 | 4.8 | 5.3 | 1.2 | 0.3 | 0.4 | 0.8 | 4.2 | 7.1 | - | - | - | 38.5 | 30.3 | 73.3 | - | 51.6 | 47.7 |
J. Schwartz
|
G | 1 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
T. Murry
|
G | 1 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 50.0 | 0.0 | 0.0 | - | 34.7 | 50.0 |
J. Barnett
|
F | 16 | 8.6 | 1.8 | 1.3 | 0.6 | 0.4 | 0.2 | 0.5 | 1.7 | 2.1 | - | - | - | 40.7 | 45.5 | 100.0 | - | 51.0 | 50.0 |
P. Ibeh
|
C | 26 | 9.7 | 1.7 | 2.5 | 0.2 | 0.3 | 1.4 | 0.6 | 1.4 | 4.2 | - | - | - | 52.8 | 0 | 40.0 | - | 51.6 | 52.8 |
B. Allums
|
F | 2 | 3.0 | 1.5 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 2.5 | - | - | - | 50.0 | 0 | 50.0 | - | 52.1 | 50.0 |
D. Newsome
|
F | 2 | 3.5 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | 0.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
D. Croaker
|
G | 2 | 13.5 | 1.0 | 1.5 | 1.5 | 0.0 | 0.0 | 1.0 | 2.5 | 0.5 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
R. McClurg
|
F | 1 | 4.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 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