Pacific
2013 Team Stats (3 games)
57.0
PPG
72.0
Opp
-15.0
Margin
41.1%
FG%
42.1%
3P%
57.4%
FT%
25.3
RPG
11.0
APG
11.3
TO
-
Est. poss./game
63.0
Adj PPG
60.7
Adj Opp PPG
#130
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 | 1063 (#135) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1088 (#111) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1074 (#75) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +2.5 (#129) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -2.4 (#202) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.529 (#150) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.576 (#140) | AdjNet +2.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.575 (#141) | AdjNet +2.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.552 (#130) | AdjO 63.0 | AdjD 60.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.482 (#189) | AdjO 58.7 | AdjD 59.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.570 (#133) | 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 | 0.556 (#138) | 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 | 1086 (#110) | RD 108 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Lorenzo McCloud
|
G | 35 | 28.5 | 11.1 | 3.0 | 4.0 | 0.7 | 0.1 | 2.1 | 1.6 | 15.2 | 41 | 25 | 1.6 | 2.5 | 50.9 | 58.8 | 78.6 | 3.91 | 318.8 | 60.0 |
Travis Fulton
|
F | 35 | 24.5 | 9.4 | 4.0 | 1.6 | 0.8 | 0.1 | 1.1 | 1.3 | 13.5 | 69 | 25 | 2.8 | 4.8 | 56.8 | 47.8 | 57.1 | 3.45 | 327.0 | 69.3 |
Sama Taku
|
G | 35 | 25.2 | 8.1 | 3.5 | 1.9 | 0.9 | 0.0 | 1.8 | 1.3 | 11.3 | -71 | 25 | -2.8 | -4.9 | 39.1 | 40.0 | 58.3 | -5.06 | 276.9 | 45.7 |
Ross Rivera
|
F | 33 | 17.9 | 7.6 | 2.7 | 0.3 | 0.2 | 0.1 | 1.0 | 1.0 | 9.0 | -1 | 24 | 0.0 | -0.1 | 38.2 | 11.1 | 50.0 | 0.1 | 319.5 | 39.7 |
Tony Gill
|
F | 35 | 17.4 | 7.2 | 3.3 | 0.7 | 0.4 | 0.1 | 0.8 | 1.2 | 9.8 | 43 | 25 | 1.7 | 4.0 | 61.9 | 71.4 | 62.5 | 0.25 | 277.9 | 73.8 |
Colin Beatty
|
G | 35 | 23.0 | 5.9 | 3.5 | 1.4 | 0.4 | 0.3 | 0.9 | 0.6 | 9.9 | -32 | 25 | -1.3 | -2.4 | 22.7 | 20.0 | 0 | -2.26 | 465.9 | 27.3 |
Khalil Kelley
|
F | 35 | 17.1 | 5.3 | 3.7 | 0.7 | 0.3 | 0.5 | 0.9 | 1.0 | 8.6 | -39 | 25 | -1.6 | -4.0 | 54.3 | 0 | 25.0 | -3.62 | 230.9 | 54.3 |
Rodrigo De Souza
|
G | 35 | 18.0 | 4.5 | 2.2 | 1.9 | 0.9 | 0.0 | 0.8 | 0.7 | 8.0 | 40 | 25 | 1.6 | 3.8 | 40.0 | 38.9 | 90.0 | -0.88 | 267.0 | 54.0 |
Markus Duran
|
G | 27 | 9.8 | 3.3 | 0.6 | 0.6 | 0.3 | 0.0 | 0.2 | 0.6 | 4.0 | 34 | 18 | 1.9 | 9.1 | 41.2 | 35.7 | 100.0 | 0.08 | 234.4 | 55.9 |
Trevin Harris
|
F | 35 | 10.9 | 3.2 | 1.7 | 1.0 | 0.3 | 0.1 | 0.6 | 0.5 | 5.2 | 60 | 25 | 2.4 | 9.3 | 52.9 | 40.0 | 50.0 | 2.42 | 295.8 | 64.7 |
Tim Thomas
|
C | 20 | 6.0 | 2.3 | 1.2 | 0.1 | 0.1 | 0.1 | 0.3 | 0.5 | 3.0 | -13 | 12 | -1.1 | -8.1 | 55.6 | 0 | 66.7 | -2.67 | 197.6 | 55.6 |
Aaron Short
|
F | 1 | 7.0 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 3.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Andrew Bock
|
G | 21 | 8.9 | 1.5 | 0.7 | 0.7 | 0.1 | 0.0 | 0.6 | 0.3 | 2.0 | 21 | 16 | 1.3 | 6.1 | 28.6 | 25.0 | 100.0 | 1.23 | 196.7 | 35.7 |
Spencer Llewellyn
|
G | 8 | 3.8 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 0.2 | 0.0 | -5 | 5 | -1.0 | -11.5 | 50.0 | 0 | 0 | -1.87 | 125.0 | 50.0 |
Jordan Turner
|
F | 13 | 4.6 | 0.4 | 1.4 | 0.2 | 0.2 | 0.0 | 0.2 | 0.4 | 1.7 | -14 | 7 | -2.0 | -26.6 | 20.0 | 0.0 | 0.0 | -3.19 | 46.0 | 20.0 |
Reed Kamler
|
G | 1 | 3.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | - | 0 | 0 | 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