Texas
2015 Team Stats (26 games)
67.3
PPG
63.2
Opp
+4.2
Margin
43.6%
FG%
34.8%
3P%
73.0%
FT%
38.8
RPG
13.2
APG
13.0
TO
-
Est. poss./game
69.8
Adj PPG
55.7
Adj Opp PPG
#20
Scoring Rank
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 โ | 1192 (#57) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1173 (#54) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 999 (#166) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +15.2 (#19) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.8 (#31) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.782 (#32) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.944 (#19) | AdjNet +24.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.946 (#19) | AdjNet +24.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.782 (#20) | AdjO 69.8 | AdjD 55.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.637 (#45) | AdjO 65.4 | AdjD 59.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.788 (#35) | 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 | 0.763 (#40) | 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 | 1171 (#56) | RD 111 | GP 34 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Isaiah Taylor
|
G | 23 | 31.5 | 13.5 | 3.3 | 4.7 | 0.9 | 0.1 | 2.7 | 10.5 | 9.2 | -3 | 20 | -0.1 | -0.2 | 39.0 | 21.2 | 82.8 | 0.54 | 55.0 | 40.5 |
Jonathan Holmes
|
F | 31 | 26.3 | 10.5 | 6.2 | 1.1 | 0.5 | 1.0 | 1.5 | 7.1 | 10.7 | 62 | 25 | 2.5 | 4.0 | 37.6 | 32.7 | 81.2 | 2.05 | 64.6 | 45.5 |
Myles Turner
|
- | 33 | 22.0 | 9.7 | 6.4 | 0.6 | 0.3 | 2.6 | 1.4 | 6.2 | 12.0 | 35 | 27 | 1.3 | 2.5 | 44.8 | 32.7 | 87.7 | 0.89 | 68.1 | 48.8 |
Javan Felix
|
G | 30 | 23.4 | 8.8 | 2.1 | 1.9 | 0.4 | 0.1 | 1.6 | 6.1 | 5.6 | 86 | 25 | 3.4 | 6.5 | 41.8 | 39.4 | 71.4 | 4.38 | 67.9 | 52.5 |
Cameron Ridley
|
C | 33 | 21.3 | 8.1 | 5.4 | 0.4 | 0.2 | 1.8 | 1.5 | 4.2 | 10.2 | -9 | 27 | -0.3 | -0.7 | 57.9 | 0 | 60.4 | -1.83 | 73.5 | 57.9 |
Demarcus Holland
|
G | 33 | 29.2 | 7.3 | 3.3 | 2.4 | 0.4 | 0.2 | 1.9 | 4.4 | 7.2 | 4 | 27 | 0.1 | 0.2 | 50.3 | 47.8 | 61.0 | -2.06 | 73.9 | 57.9 |
Kendal Yancy
|
G | 33 | 21.2 | 6.4 | 2.8 | 1.7 | 0.3 | 0.2 | 1.1 | 4.7 | 5.6 | 122 | 27 | 4.5 | 9.2 | 41.6 | 32.4 | 72.7 | 4.78 | 62.9 | 48.7 |
Connor Lammert
|
F | 33 | 21.9 | 5.0 | 5.4 | 1.3 | 0.4 | 0.5 | 0.9 | 3.5 | 8.2 | 98 | 27 | 3.6 | 6.9 | 39.7 | 31.0 | 67.6 | 2.59 | 63.4 | 49.1 |
Joe 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 | -0.67 | 150.0 | 150.0 |
Prince Ibeh
|
C | 33 | 10.5 | 2.0 | 2.5 | 0.2 | 0.3 | 1.4 | 0.7 | 1.1 | 4.7 | 32 | 27 | 1.2 | 4.9 | 54.1 | 0 | 40.0 | -1.26 | 75.7 | 54.1 |
Jordan Barnett
|
F | 21 | 8.5 | 1.9 | 1.3 | 0.5 | 0.3 | 0.3 | 0.4 | 1.3 | 2.6 | 41 | 15 | 2.7 | 12.8 | 40.7 | 45.5 | 100.0 | 1.22 | 72.9 | 50.0 |
Damarcus Croaker
|
G | 5 | 9.4 | 1.6 | 1.0 | 0.6 | 0.0 | 0.0 | 0.6 | 1.0 | 1.6 | - | - | - | - | 20.0 | 0.0 | 0 | -0.93 | 80.0 | 20.0 |
Tarale Murry
|
G | 4 | 2.0 | 0.8 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.8 | - | - | - | - | 50.0 | 0.0 | 0.0 | -1.8 | 52.1 | 50.0 |
Ryan McClurg
|
F | 4 | 2.2 | 0.8 | 0.5 | 0.2 | 0.0 | 0.0 | 0.5 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 50.0 | -1.82 | 170.5 | 0 |
Brandon Allums
|
F | 5 | 2.2 | 0.6 | 0.8 | 0.0 | 0.4 | 0.0 | 0.2 | 0.4 | 1.2 | - | - | - | - | 50.0 | 0 | 50.0 | -1.29 | 52.1 | 50.0 |
Danny Newsome
|
F | 5 | 2.6 | 0.4 | 1.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.6 | 0.6 | - | - | - | - | 33.3 | 0 | 0 | -1.08 | 33.3 | 33.3 |
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