Arizona
2018 Team Stats (25 games)
79.6
PPG
70.8
Opp
+9.0
Margin
51.2%
FG%
36.9%
3P%
76.6%
FT%
37.3
RPG
15.2
APG
13.0
TO
78.0
Pace
Model Outputs
2017-2018
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 → | 1783 (#7) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1581 (#12) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +43.1 (#4) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.754 (#11) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.720 (#10) | NetEff +8.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.710 (#40) | AdjNet +7.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.713 (#40) | AdjNet +7.9 |
2018 Schedule & Results
2018 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Deandre Ayton
|
- | 29 | 33.6 | 20.0 | 11.6 | 1.7 | 0.6 | 2.0 | 2.1 | 12.3 | 21.6 | - | - | - | 60.7 | 33.3 | 76.5 | - | 68.8 | 61.7 |
A. Trier
|
- | 27 | 34.1 | 17.9 | 3.0 | 3.3 | 0.6 | 0.2 | 1.9 | 10.4 | 12.9 | - | - | - | 49.8 | 39.3 | 87.6 | - | 70.9 | 60.0 |
R. Alkins
|
G | 22 | 31.9 | 13.4 | 4.9 | 2.5 | 1.3 | 0.7 | 2.6 | 10.1 | 10.1 | - | - | - | 43.5 | 37.1 | 73.9 | - | 56.0 | 50.9 |
D. Ristic
|
C | 29 | 28.0 | 13.1 | 7.4 | 0.9 | 0.3 | 0.5 | 1.4 | 9.4 | 11.6 | - | - | - | 57.4 | 46.2 | 80.0 | - | 63.4 | 58.5 |
P. Jackson-Cartwright
|
G | 29 | 32.1 | 7.9 | 2.3 | 4.3 | 1.3 | 0.1 | 2.0 | 5.5 | 8.5 | - | - | - | 43.4 | 40.4 | 75.0 | - | 62.7 | 56.0 |
D. Smith
|
G | 28 | 14.4 | 4.0 | 1.6 | 1.1 | 0.1 | 0.2 | 0.9 | 3.7 | 2.4 | 89 | 9.9 | 11.2 | 34.6 | 32.9 | 85.7 | 1.42 | 50.8 | 47.1 |
K. Pinder
|
F | 26 | 10.8 | 2.5 | 2.1 | 0.1 | 0.2 | 0.5 | 0.4 | 1.1 | 3.9 | - | - | - | 72.4 | 0 | 64.3 | - | 77.4 | 72.4 |
B. Randolph
|
G | 25 | 10.0 | 2.0 | 0.7 | 0.8 | 0.4 | 0.1 | 0.7 | 2.5 | 0.9 | - | - | - | 28.6 | 21.4 | 61.5 | - | 36.4 | 33.3 |
I. Lee
|
F | 21 | 8.6 | 1.9 | 2.1 | 0.3 | 0.0 | 0.5 | 0.4 | 1.2 | 3.2 | - | - | - | 50.0 | 0.0 | 57.9 | - | 56.8 | 50.0 |
A. Barcello
|
G | 15 | 8.5 | 1.9 | 0.7 | 0.5 | 0.1 | 0.0 | 0.4 | 1.3 | 1.4 | - | - | - | 50.0 | 25.0 | 75.0 | - | 59.5 | 55.0 |
E. Akot
|
- | 26 | 10.6 | 1.8 | 1.1 | 0.8 | 0.2 | 0.1 | 0.5 | 1.7 | 1.9 | - | - | - | 40.9 | 33.3 | 45.5 | - | 48.1 | 47.7 |
T. Trillo
|
G | 2 | 3.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.5 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
J. DesJardins
|
F | 3 | 2.3 | 0.7 | 1.0 | 0.3 | 0.0 | 0.0 | 0.3 | 0.7 | 1.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
T. Denny
|
F | 3 | 2.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | - | - | - | 0 | 0 | 50.0 | - | 56.8 | 0 |
M. Weyand
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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