UCLA
2021 Team Stats (16 games)
74.5
PPG
69.5
Opp
+5.0
Margin
45.5%
FG%
37.0%
3P%
72.8%
FT%
34.6
RPG
12.5
APG
9.7
TO
-
Est. poss./game
76.8
Adj PPG
62.5
Adj Opp PPG
#17
Scoring Rank
Model Outputs
2020-2021
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 | 1347 (#21) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1261 (#13) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1162 (#11) | HCA +66 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +16.5 (#14) | HCA +1.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +21.9 (#5) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.691 (#71) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.921 (#21) | AdjNet +21.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.922 (#22) | AdjNet +21.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.785 (#17) | AdjO 76.8 | AdjD 62.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.765 (#5) | AdjO 75.9 | AdjD 62.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.853 (#13) | 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 | 0.850 (#10) | 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 | 1257 (#17) | RD 87 | GP 32 |
2021 Schedule & Results
2021 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chris Smith
|
G | 3 | 33.3 | 17.3 | 5.3 | 3.7 | 0.3 | 0.3 | 2.7 | 11.0 | 13.3 | 52 | 7 | 7.4 | 12.5 | 54.5 | 66.7 | 90.9 | 2.62 | 68.7 | 63.6 |
Johnny Juzang
|
- | 27 | 32.3 | 16.0 | 4.1 | 1.6 | 0.8 | 0.3 | 1.6 | 10.5 | 10.7 | 71 | 26 | 2.7 | 3.5 | 46.1 | 36.8 | 78.9 | 1.36 | 71.8 | 53.7 |
Jaime Jaquez Jr.
|
- | 32 | 34.9 | 12.3 | 6.1 | 1.7 | 1.2 | 0.7 | 1.2 | 6.4 | 14.4 | 127 | 30 | 4.2 | 5.0 | 49.0 | 39.7 | 66.7 | 0.78 | 81.1 | 56.1 |
Tyger Campbell
|
- | 32 | 33.7 | 10.4 | 2.1 | 5.4 | 1.1 | 0.0 | 1.8 | 6.3 | 10.8 | 135 | 30 | 4.5 | 5.6 | 42.9 | 26.9 | 79.6 | 3.98 | 73.4 | 46.3 |
Jules Bernard
|
- | 16 | 29.2 | 10.2 | 5.4 | 1.4 | 0.3 | 0.2 | 1.0 | 7.9 | 8.8 | 65 | 30 | 2.2 | 3.0 | 42.9 | 39.2 | 81.4 | -0.39 | 56.2 | 50.8 |
Cody Riley
|
F | 16 | 25.5 | 9.8 | 5.9 | 1.4 | 0.4 | 0.9 | 1.9 | 7.4 | 9.1 | 107 | 30 | 3.6 | 6.3 | 50.4 | 0.0 | 60.0 | 2.0 | 53.6 | 50.4 |
David Singleton
|
- | 32 | 17.1 | 4.7 | 1.7 | 0.6 | 0.4 | 0.0 | 0.3 | 2.4 | 4.6 | 66 | 30 | 2.2 | 5.5 | 42.3 | 43.3 | 66.7 | 2.31 | 92.1 | 59.0 |
Josie Hill
|
F | 5 | 16.6 | 4.2 | 4.6 | 0.6 | 0.2 | 0.6 | 0.4 | 2.0 | 7.8 | 36 | 14 | 2.6 | 5.9 | 50.0 | 0 | 84.6 | -1.52 | 66.8 | 50.0 |
Jake Kyman
|
- | 16 | 10.4 | 2.9 | 1.2 | 0.3 | 0.6 | 0.0 | 0.2 | 3.1 | 1.7 | 83 | 29 | 2.9 | 11.8 | 36.7 | 37.0 | 0.0 | 1.87 | 46.5 | 46.9 |
Jaylen Clark
|
- | 31 | 9.0 | 2.5 | 2.4 | 0.2 | 0.1 | 0.2 | 0.4 | 1.3 | 3.8 | -12 | 29 | -0.4 | -1.9 | 43.6 | 12.5 | 82.4 | -3.08 | 83.9 | 44.9 |
Mac Etienne
|
- | 6 | 7.8 | 1.0 | 2.2 | 0.2 | 0.2 | 0.0 | 0.2 | 1.8 | 1.5 | 2 | 12 | 0.2 | 0.7 | 27.3 | 0 | 0 | -0.55 | 27.3 | 27.3 |
Kenneth Nwuba
|
- | 18 | 5.9 | 0.1 | 0.9 | 0.0 | 0.1 | 0.2 | 0.3 | 0.2 | 0.8 | -9 | 16 | -0.6 | -3.8 | 0.0 | 0 | 0.0 | -1.84 | 22.5 | 0.0 |
Russell Stong
|
- | 5 | 1.0 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | -4 | 5 | -0.8 | -28.7 | 0 | 0 | 0 | -1.67 | 0 | 0 |
Logan Cremonesi
|
- | 5 | 0.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | -4 | 5 | -0.8 | -33.4 | 0.0 | 0 | 0.0 | -1.69 | 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