UCLA
2014 Team Stats (18 games)
78.8
PPG
68.5
Opp
+10.3
Margin
48.3%
FG%
34.1%
3P%
73.0%
FT%
35.1
RPG
16.9
APG
10.1
TO
-
Est. poss./game
81.8
Adj PPG
65.8
Adj Opp PPG
#14
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 | 1305 (#12) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1291 (#19) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1159 (#15) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +17.0 (#14) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +16.8 (#10) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.837 (#21) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.941 (#20) | AdjNet +23.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.942 (#20) | AdjNet +24.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.811 (#14) | AdjO 81.8 | AdjD 65.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.752 (#9) | AdjO 78.6 | AdjD 66.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.865 (#11) | 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 | 0.857 (#12) | 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 | 1317 (#15) | RD 93 | GP 37 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jordan Adams
|
G | 32 | 30.1 | 17.5 | 5.4 | 2.4 | 2.6 | 0.2 | 1.5 | 7.9 | 18.7 | 329 | 33 | 10.0 | 14.5 | 47.0 | 30.0 | 79.5 | 3.41 | 92.8 | 52.4 |
Kyle Anderson
|
G | 32 | 33.5 | 14.8 | 8.8 | 6.5 | 1.8 | 0.8 | 3.1 | 6.3 | 23.3 | 359 | 33 | 10.9 | 14.3 | 48.0 | 52.8 | 73.4 | 7.29 | 97.6 | 52.7 |
Norman Powell
|
G | 33 | 25.8 | 11.2 | 2.8 | 1.6 | 1.5 | 0.4 | 1.0 | 4.7 | 11.8 | 170 | 34 | 5.0 | 8.2 | 53.2 | 24.3 | 78.6 | -1.56 | 99.3 | 56.1 |
Zach LaVine
|
G | 33 | 24.4 | 9.2 | 2.6 | 1.8 | 0.9 | 0.2 | 1.1 | 5.1 | 8.4 | 104 | 33 | 3.2 | 5.5 | 43.2 | 34.5 | 64.1 | -1.16 | 81.1 | 52.1 |
Bryce Alford
|
G | 33 | 22.8 | 7.8 | 1.7 | 2.7 | 0.8 | 0.1 | 1.3 | 3.7 | 8.2 | 103 | 33 | 3.1 | 5.7 | 36.1 | 36.6 | 81.5 | -0.37 | 88.8 | 46.7 |
Travis Wear
|
F | 30 | 24.2 | 7.1 | 3.1 | 1.5 | 0.8 | 0.6 | 0.4 | 3.6 | 9.1 | 196 | 31 | 6.3 | 11.1 | 52.3 | 31.2 | 75.0 | 1.7 | 92.9 | 54.7 |
Tony Parker
|
F | 33 | 17.4 | 6.9 | 4.6 | 0.2 | 0.4 | 0.6 | 1.0 | 2.9 | 8.7 | 93 | 34 | 2.7 | 7.1 | 57.3 | 0 | 42.5 | -0.6 | 100.4 | 57.3 |
David Wear
|
F | 33 | 22.9 | 6.8 | 3.9 | 0.8 | 0.6 | 0.2 | 0.9 | 3.4 | 8.1 | 206 | 34 | 6.1 | 11.5 | 50.5 | 45.2 | 73.9 | 2.91 | 93.3 | 56.8 |
Wanaah Bail
|
F | 12 | 4.3 | 1.2 | 0.6 | 0.3 | 0.2 | 0.2 | 0.1 | 0.7 | 1.7 | -8 | 10 | -0.8 | -7.6 | 50.0 | 0 | 57.1 | -1.78 | 63.2 | 50.0 |
Noah Allen
|
G | 11 | 3.5 | 1.0 | 0.6 | 0.1 | 0.0 | 0.0 | 0.1 | 0.6 | 1.0 | -13 | 9 | -1.4 | -23.9 | 57.1 | 0.0 | 42.9 | -2.31 | 54.6 | 57.1 |
Kory Alford
|
G | 10 | 1.5 | 0.5 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.7 | 1 | 6 | 0.2 | 3.3 | 0.0 | 0 | 100.0 | -0.77 | 133.0 | 0.0 |
David Brown
|
G | 10 | 1.8 | 0.2 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | -1 | 6 | -0.2 | -3.2 | 0 | 0 | 100.0 | -1.3 | 113.6 | 0 |
Aubrey Williams
|
G | 9 | 1.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.3 | -1 | 6 | -0.2 | -4.4 | 0 | 0 | 50.0 | -1.17 | 56.8 | 0 |
Nick Kazemi
|
G | 9 | 1.4 | 0.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 2 | 6 | 0.3 | 9.7 | 0.0 | 0 | 0 | -0.55 | 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