High Point
2013 Team Stats (2 games)
80.0
PPG
59.5
Opp
+20.5
Margin
41.3%
FG%
17.6%
3P%
80.0%
FT%
45.5
RPG
12.0
APG
11.0
TO
-
Est. poss./game
64.0
Adj PPG
66.8
Adj Opp PPG
#215
Scoring Rank
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 โ | 877 (#240) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 908 (#231) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 993 (#182) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -3.3 (#216) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -4.0 (#224) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.607 (#115) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.356 (#216) | AdjNet -5.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.355 (#215) | AdjNet -5.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.437 (#215) | AdjO 64.0 | AdjD 66.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.491 (#181) | AdjO 64.7 | AdjD 65.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.405 (#215) | 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 | 0.416 (#211) | 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 | 909 (#229) | RD 125 | GP 29 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
John Brown
|
F | 28 | 25.8 | 16.4 | 6.1 | 0.7 | 1.7 | 1.2 | 1.3 | 0.5 | 24.3 | 96 | 21 | 4.6 | 7.3 | 33.3 | 0 | 71.4 | 1.01 | 1087.0 | 33.3 |
Allan Chaney
|
F | 30 | 26.3 | 14.5 | 8.1 | 1.4 | 0.5 | 1.2 | 1.8 | 0.7 | 23.2 | 80 | 21 | 3.8 | 6.1 | 60.0 | 0.0 | 100.0 | 1.2 | 924.7 | 60.0 |
Adam Weary
|
G | 31 | 26.6 | 10.2 | 3.4 | 2.3 | 1.4 | 0.3 | 1.9 | 0.5 | 15.0 | 123 | 22 | 5.6 | 9.0 | 41.2 | 100.0 | 100.0 | 1.85 | 807.0 | 44.1 |
Dejuan McGaughy
|
G | 31 | 22.8 | 6.9 | 1.6 | 2.5 | 0.7 | 0.3 | 1.6 | 0.5 | 9.7 | 39 | 22 | 1.8 | 3.3 | 29.4 | 16.7 | 50.0 | -1.14 | 595.6 | 32.4 |
Corey Law
|
F | 28 | 14.6 | 5.9 | 4.2 | 0.3 | 0.5 | 0.4 | 0.7 | 0.1 | 10.5 | 6 | 19 | 0.3 | 1.0 | 100.0 | 0 | 55.6 | -1.11 | 1178.2 | 100.0 |
Derrell Edwards
|
G | 31 | 25.6 | 5.1 | 1.9 | 1.9 | 1.0 | 0.2 | 1.3 | 0.5 | 8.3 | 77 | 22 | 3.5 | 5.6 | 35.3 | 20.0 | 66.7 | -0.55 | 431.2 | 38.2 |
Devante Wallace
|
G | 21 | 16.0 | 5.0 | 2.7 | 1.5 | 0.3 | 0.3 | 0.7 | 0.0 | 9.1 | -23 | 13 | -1.8 | -4.3 | 0 | 0 | 0 | -4.09 | 0 | 0 |
Lorenzo Cugini
|
F | 31 | 14.0 | 4.1 | 2.6 | 0.8 | 0.3 | 0.2 | 0.7 | 0.4 | 6.9 | -43 | 22 | -2.0 | -6.1 | 33.3 | 0.0 | 0 | -3.45 | 525.0 | 33.3 |
Branimir Mikulic
|
F | 31 | 12.2 | 3.4 | 2.9 | 0.3 | 0.3 | 0.3 | 0.6 | 0.2 | 6.3 | -18 | 22 | -0.8 | -3.1 | 28.6 | 40.0 | 100.0 | -2.41 | 593.6 | 42.9 |
Justin Cheek
|
G | 19 | 8.8 | 2.0 | 0.9 | 0.5 | 0.3 | 0.1 | 0.4 | 0.4 | 3.0 | -11 | 14 | -0.8 | -3.3 | 42.9 | 33.3 | 100.0 | -2.13 | 241.1 | 50.0 |
Jairus Simms
|
G | 28 | 16.8 | 1.9 | 1.4 | 3.2 | 0.6 | 0.0 | 1.4 | 0.3 | 5.5 | 29 | 20 | 1.4 | 3.4 | 55.6 | 0.0 | 0 | 0.07 | 294.4 | 55.6 |
Haiishen McIntyre
|
G | 18 | 7.8 | 1.4 | 1.1 | 0.5 | 0.3 | 0.1 | 0.2 | 0.2 | 2.9 | -14 | 14 | -1.0 | -6.5 | 0.0 | 0.0 | 100.0 | -3.33 | 256.1 | 0.0 |
Landon Harris
|
F | 8 | 3.4 | 1.2 | 1.1 | 0.0 | 0.0 | 0.1 | 0.0 | 0.4 | 2.1 | -8 | 6 | -1.3 | -19.2 | 100.0 | 0 | 0 | -1.7 | 166.7 | 100.0 |
Tre Duncan
|
G | 9 | 3.6 | 1.1 | 0.3 | 0.3 | 0.1 | 0.1 | 0.4 | 0.6 | 1.0 | -6 | 6 | -1.0 | -16.5 | 40.0 | 0.0 | 0 | -1.42 | 100.0 | 40.0 |
Quincy Drye
|
G | 7 | 3.4 | 0.6 | 0.0 | 0.0 | 0.3 | 0.1 | 0.1 | 0.3 | 0.6 | -7 | 5 | -1.4 | -19.2 | 0.0 | 0.0 | 0 | -1.79 | 100.0 | 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