UCLA
2017 Team Stats (33 games)
90.6
PPG
76.0
Opp
+14.6
Margin
52.4%
FG%
40.8%
3P%
74.4%
FT%
38.2
RPG
21.6
APG
11.1
TO
-
Est. poss./game
90.2
Adj PPG
72.1
Adj Opp PPG
#13
Scoring Rank
Model Outputs
2016-2017
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 | 1406 (#15) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1390 (#6) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1189 (#8) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +19.3 (#14) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +18.6 (#14) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.880 (#8) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.948 (#21) | AdjNet +25.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.949 (#21) | AdjNet +25.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.838 (#13) | AdjO 90.2 | AdjD 72.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.765 (#11) | AdjO 84.5 | AdjD 71.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.884 (#12) | 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 | 0.874 (#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 | 1379 (#8) | RD 101 | GP 36 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T.J. Leaf
|
- | 34 | 30.1 | 16.4 | 8.3 | 2.4 | 0.6 | 1.1 | 1.5 | 10.6 | 16.7 | 386 | 30 | 12.9 | 18.4 | 62.3 | 46.0 | 69.6 | 1.75 | 68.6 | 65.5 |
Bryce Alford
|
G | 35 | 33.0 | 15.4 | 2.4 | 2.6 | 0.5 | 0.1 | 1.0 | 10.3 | 9.8 | 403 | 30 | 13.4 | 17.5 | 44.6 | 44.3 | 81.5 | 1.34 | 66.4 | 60.2 |
Lonzo Ball
|
- | 35 | 35.2 | 14.6 | 6.1 | 7.6 | 1.9 | 0.8 | 2.5 | 9.3 | 19.1 | 465 | 30 | 15.5 | 19.2 | 55.5 | 40.8 | 67.3 | 3.71 | 69.2 | 67.0 |
Isaac Hamilton
|
G | 35 | 29.9 | 14.1 | 3.5 | 2.8 | 0.7 | 0.2 | 1.9 | 11.4 | 8.0 | 399 | 30 | 13.3 | 19.4 | 45.1 | 36.8 | 81.8 | 3.8 | 58.1 | 53.9 |
Aaron Holiday
|
- | 35 | 26.3 | 12.4 | 2.8 | 4.4 | 1.1 | 0.2 | 2.5 | 8.3 | 10.2 | 340 | 30 | 11.3 | 18.3 | 48.8 | 41.8 | 80.0 | 1.9 | 64.9 | 57.6 |
Thomas Welsh
|
C | 31 | 25.0 | 10.7 | 8.6 | 1.0 | 0.4 | 1.4 | 0.5 | 8.1 | 13.5 | 285 | 26 | 11.0 | 17.9 | 58.4 | 100.0 | 88.9 | 2.01 | 61.7 | 58.6 |
Ike Anigbogu
|
- | 28 | 13.2 | 4.8 | 4.1 | 0.2 | 0.2 | 1.2 | 0.8 | 3.5 | 6.2 | 133 | 23 | 5.8 | 19.7 | 55.7 | 0 | 53.5 | 1.32 | 58.2 | 55.7 |
Gyorgy Goloman
|
F | 34 | 11.4 | 3.7 | 2.4 | 0.6 | 0.6 | 0.8 | 0.6 | 2.6 | 4.8 | 143 | 29 | 4.9 | 17.9 | 57.3 | 10.0 | 63.3 | -0.2 | 61.6 | 57.9 |
Micah Potter
|
- | 1 | 16.0 | 3.0 | 8.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 10.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Armani Dodson
|
G | 1 | 2.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
Isaac Wulff
|
G | 5 | 2.0 | 1.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 1.0 | - | - | - | - | 100.0 | 0 | 50.0 | -1.52 | 86.8 | 100.0 |
Alec Wulff
|
G | 13 | 1.8 | 0.5 | 0.1 | 0.1 | 0.1 | 0.0 | 0.0 | 0.5 | 0.2 | -21 | 11 | -1.9 | -37.7 | 33.3 | 33.3 | 0 | -4.5 | 50.0 | 50.0 |
Jerrold Smith
|
G | 13 | 1.9 | 0.5 | 0.0 | 0.1 | 0.2 | 0.0 | 0.2 | 0.8 | -0.2 | -17 | 12 | -1.4 | -30.3 | 27.3 | 0.0 | 50.0 | -3.69 | 29.5 | 27.3 |
Ikenna Okwarabizie
|
C | 12 | 2.6 | 0.2 | 0.6 | 0.0 | 0.1 | 0.0 | 0.2 | 0.2 | 0.4 | 1 | 11 | 0.1 | 1.5 | 0.0 | 0 | 33.3 | -0.68 | 21.6 | 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