Pacific
2014 Team Stats (2 games)
68.5
PPG
78.5
Opp
-10.0
Margin
37.8%
FG%
35.0%
3P%
76.5%
FT%
33.0
RPG
10.0
APG
10.5
TO
-
Est. poss./game
72.5
Adj PPG
71.1
Adj Opp PPG
#144
Scoring Rank
Model Outputs
2013-2014
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 | 984 (#191) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1047 (#132) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1007 (#161) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +1.8 (#141) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +0.4 (#162) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.441 (#203) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.577 (#138) | AdjNet +2.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.578 (#138) | AdjNet +2.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.532 (#144) | AdjO 72.5 | AdjD 71.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.493 (#186) | AdjO 70.1 | AdjD 70.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.532 (#154) | 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 | 0.524 (#158) | 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 | 1031 (#150) | RD 96 | GP 33 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tony Gill
|
F | 27 | 26.2 | 11.6 | 6.0 | 1.1 | 0.8 | 0.3 | 1.7 | 1.2 | 16.9 | -64 | 28 | -2.3 | -3.8 | 50.0 | 45.5 | 66.7 | 1.34 | 418.5 | 57.8 |
Andrew Bock
|
G | 27 | 27.4 | 11.4 | 2.5 | 2.7 | 0.4 | 0.0 | 1.7 | 0.9 | 14.4 | -87 | 28 | -3.1 | -4.7 | 29.2 | 16.7 | 90.9 | 0.74 | 457.2 | 33.3 |
Sama Taku
|
G | 27 | 28.4 | 11.3 | 3.8 | 2.3 | 0.6 | 0.0 | 1.6 | 1.9 | 14.6 | -64 | 28 | -2.3 | -3.5 | 33.3 | 15.4 | 78.6 | 1.39 | 266.8 | 35.3 |
Trevin Harris
|
F | 22 | 22.3 | 8.5 | 3.5 | 2.0 | 0.6 | 0.0 | 0.7 | 1.0 | 13.0 | -14 | 23 | -0.6 | -1.2 | 50.0 | 30.8 | 80.0 | 1.05 | 356.1 | 59.1 |
Ross Rivera
|
F | 27 | 19.5 | 8.0 | 2.3 | 0.7 | 0.4 | 0.3 | 1.1 | 1.3 | 9.3 | -61 | 28 | -2.2 | -5.0 | 34.3 | 25.0 | 80.0 | -1.07 | 274.1 | 37.1 |
T.J. Wallace
|
G | 25 | 19.6 | 6.9 | 2.3 | 1.2 | 0.9 | 0.0 | 1.4 | 1.4 | 8.4 | -52 | 26 | -2.0 | -4.2 | 36.1 | 38.9 | 66.7 | -0.56 | 201.9 | 45.8 |
Khalil Kelley
|
F | 27 | 19.7 | 5.4 | 4.3 | 0.6 | 0.2 | 0.4 | 1.5 | 0.7 | 8.7 | -129 | 28 | -4.6 | -9.4 | 44.4 | 0 | 61.1 | -3.79 | 279.7 | 44.4 |
Aaron Short
|
F | 27 | 17.6 | 4.6 | 3.4 | 1.3 | 0.7 | 0.1 | 1.0 | 0.6 | 8.4 | -92 | 27 | -3.4 | -8.3 | 50.0 | 57.1 | 100.0 | -3.69 | 367.3 | 62.5 |
David Taylor
|
G | 20 | 10.2 | 4.0 | 0.8 | 0.7 | 0.6 | 0.0 | 0.9 | 0.8 | 4.2 | 11 | 22 | 0.5 | 2.2 | 53.3 | 37.5 | 100.0 | 0.24 | 248.7 | 63.3 |
Tim Thomas
|
C | 27 | 9.5 | 3.0 | 2.1 | 0.3 | 0.1 | 0.2 | 0.6 | 0.3 | 4.8 | -15 | 27 | -0.6 | -2.6 | 22.2 | 0 | 66.7 | -0.8 | 387.6 | 22.2 |
Gabriel Aguirre
|
F | 21 | 9.2 | 2.5 | 1.7 | 0.3 | 0.2 | 0.0 | 0.5 | 0.1 | 4.1 | 48 | 23 | 2.1 | 9.3 | 0.0 | 0 | 60.0 | 3.7 | 619.0 | 0.0 |
Spencer Llewellyn
|
G | 6 | 2.7 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | -0.3 | - | - | - | - | 25.0 | 0.0 | 100.0 | - | 33.8 | 25.0 |
Thomas Peters
|
F | 4 | 1.2 | 0.5 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.8 | - | - | - | - | 0.0 | 0 | 0 | - | 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