Houston
2013 Team Stats (2 games)
80.5
PPG
73.3
Opp
+4.8
Margin
46.4%
FG%
44.4%
3P%
62.3%
FT%
35.0
RPG
13.0
APG
9.0
TO
83.2
Pace
Model Outputs
2012-2013
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 → | 1913 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1512 (#42) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#236) | HCA +147 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 993 (#376) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.7 (#7) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.7 (#147) | HCA +3.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -10.8 (#473) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.419 (#71) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.933 (#11) | NetEff +22.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.222 (#93) | AdjNet -10.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.225 (#93) | AdjNet -10.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.546 (#159) | AdjO 75.6 | AdjD 73.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.479 (#309) | AdjO 64.6 | AdjD 65.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.688 (#165) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.220 (#506) | 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 → | 0.664 (#165) | 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 → | 0.260 (#503) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1067 (#162) | RD 104 | GP 33 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 899 (#405) | RD 350 | GP 1 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Young
|
G | 32 | 32.8 | 18.0 | 3.5 | 2.5 | 0.6 | 0.0 | 1.3 | 2.2 | 21.0 | 147 | 4.6 | 6.0 | 48.6 | 37.9 | 92.3 | 0.65 | 323.0 | 56.2 |
T. Thomas
|
F | 33 | 32.4 | 16.9 | 9.8 | 2.4 | 1.0 | 1.7 | 2.1 | 2.3 | 27.4 | 135 | 4.1 | 5.4 | 57.3 | 0 | 66.7 | 0.67 | 337.1 | 57.3 |
D. House Jr.
|
G | 32 | 28.4 | 12.5 | 4.9 | 1.9 | 1.0 | 0.2 | 1.8 | 1.3 | 17.3 | -26 | -0.8 | -2.0 | 41.9 | 20.0 | 63.0 | -0.13 | 363.5 | 45.3 |
J. Stiggers
|
G | 33 | 20.7 | 8.1 | 2.7 | 0.8 | 0.8 | 0.1 | 1.4 | 1.3 | 10.0 | 42 | 1.3 | 2.3 | 40.5 | 46.9 | 60.0 | 0.25 | 303.2 | 58.3 |
L. Gibson
|
F | 32 | 16.2 | 6.3 | 5.6 | 0.5 | 0.3 | 0.6 | 0.9 | 0.9 | 11.5 | 55 | 1.7 | 4.4 | 35.7 | 0.0 | 54.5 | 0.15 | 268.0 | 35.7 |
J.J. Thompson
|
G | 29 | 21.0 | 6.0 | 1.1 | 2.9 | 0.9 | 0.0 | 2.0 | 0.8 | 8.0 | 125 | 4.3 | 8.4 | 56.5 | 50.0 | 70.0 | 1.04 | 317.5 | 65.2 |
J.J. Richardson
|
F | 19 | 9.4 | 3.5 | 1.7 | 0.4 | 0.3 | 0.1 | 1.1 | 0.8 | 4.1 | 271 | 7.3 | 13.4 | 40.0 | 0 | 66.7 | 0.88 | 189.9 | 40.0 |
T. Womack
|
G | 33 | 18.8 | 2.7 | 1.8 | 2.5 | 0.9 | 0.2 | 1.3 | 0.4 | 6.5 | 100 | 3.1 | 6.6 | 41.7 | 0.0 | 50.0 | 0.53 | 327.0 | 41.7 |
B. Morris
|
G | 32 | 12.2 | 2.6 | 1.9 | 1.2 | 0.6 | 0.2 | 0.8 | 0.3 | 5.3 | -15 | -0.2 | -0.6 | 54.5 | 25.0 | 100.0 | -0.02 | 353.5 | 59.1 |
M. McLean
|
F | 26 | 13.3 | 2.4 | 2.6 | 0.3 | 0.3 | 0.2 | 0.7 | 0.4 | 4.7 | 14 | 0.5 | 1.6 | 27.3 | 0 | 54.5 | 0.02 | 198.9 | 27.3 |
L. Barnes
|
G | 16 | 9.8 | 2.1 | 2.2 | 0.2 | 0.6 | 0.1 | 0.5 | 0.5 | 4.3 | -10 | -1.7 | -9.6 | 50.0 | 0.0 | 0 | -0.17 | 212.5 | 50.0 |
V. Izundu
|
C | 20 | 8.0 | 1.9 | 1.0 | 0.1 | 0.1 | 1.1 | 0.1 | 0.1 | 4.0 | 49 | 2.5 | 8.4 | 33.3 | 0 | 50.0 | 0.42 | 502.6 | 33.3 |
J. Jones
|
G | 9 | 4.8 | 0.9 | 0.4 | 0.8 | 0.1 | 0.0 | 0.3 | 0.1 | 1.8 | 166 | 5.5 | 17.3 | 0.0 | 0.0 | 0 | 0.93 | 400.0 | 0.0 |
L. Paye
|
G | 4 | 1.8 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.5 | 0.2 | - | - | - | 50.0 | 0.0 | 100.0 | - | 61.5 | 50.0 |
D. Brooks
|
G | 4 | 1.8 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.5 | 249 | 7.3 | 13.1 | 0 | 0 | 0 | 1.37 | 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