Arizona
2022 Team Stats (29 games)
84.6
PPG
68.1
Opp
+15.9
Margin
49.8%
FG%
35.6%
3P%
75.3%
FT%
41.0
RPG
19.8
APG
13.4
TO
84.1
Pace
Model Outputs
2021-2022
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 → | 1637 (#7) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1567 (#6) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +44.6 (#4) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.820 (#3) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.903 (#13) | NetEff +20.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.853 (#14) | AdjNet +15.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.854 (#14) | AdjNet +15.3 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Mathurin
|
- | 33 | 32.8 | 18.0 | 5.5 | 2.7 | 1.1 | 0.2 | 1.7 | 13.2 | 12.6 | - | - | - | 45.6 | 37.7 | 75.6 | - | 58.6 | 54.2 |
A. Tubelis
|
- | 36 | 24.6 | 13.9 | 6.2 | 2.2 | 1.1 | 0.7 | 2.1 | 9.1 | 12.9 | - | - | - | 53.1 | 25.0 | 69.2 | - | 66.1 | 54.3 |
Christian Koloko
|
- | 33 | 25.6 | 12.5 | 7.2 | 1.3 | 0.7 | 2.6 | 1.7 | 7.8 | 14.8 | - | - | - | 62.9 | 0.0 | 73.9 | - | 66.4 | 62.9 |
K. Kriisa
|
G | 33 | 29.6 | 9.7 | 2.5 | 4.7 | 0.6 | 0.1 | 2.2 | 7.5 | 7.9 | -4 | -0.4 | -1.1 | 33.9 | 32.8 | 87.5 | 0.58 | 60.2 | 47.4 |
D. Terry
|
- | 33 | 28.7 | 8.4 | 4.8 | 3.9 | 1.3 | 0.2 | 1.4 | 6.5 | 10.8 | - | - | - | 50.5 | 37.5 | 71.4 | - | 59.0 | 56.8 |
P. Larsson
|
- | 37 | 20.8 | 7.2 | 3.4 | 1.8 | 0.8 | 0.2 | 1.5 | 4.4 | 7.4 | - | - | - | 49.1 | 37.3 | 81.2 | - | 68.8 | 58.6 |
O. Ballo
|
- | 37 | 15.3 | 6.8 | 4.4 | 0.6 | 0.4 | 1.2 | 0.9 | 3.7 | 8.8 | - | - | - | 61.0 | 0 | 65.8 | - | 73.8 | 61.0 |
J. Kier
|
G | 33 | 20.0 | 6.6 | 3.1 | 2.2 | 0.6 | 0.0 | 1.3 | 5.3 | 5.9 | - | - | - | 44.3 | 36.5 | 82.1 | - | 56.7 | 53.1 |
K. Aiken Jr.
|
F | 3 | 12.0 | 6.0 | 2.7 | 2.3 | 1.7 | 0.3 | 0.3 | 4.0 | 8.7 | 71 | 6.5 | 8.1 | 58.3 | 57.1 | 0 | 1.43 | 75.0 | 75.0 |
A. Bal
|
G | 23 | 4.5 | 1.5 | 0.4 | 0.4 | 0.1 | 0.0 | 0.3 | 1.0 | 1.3 | - | - | - | 50.0 | 46.2 | 0 | - | 77.3 | 63.6 |
Shane Nowell
|
- | 16 | 2.8 | 0.8 | 0.5 | 0.3 | 0.1 | 0.1 | 0.4 | 0.9 | 0.4 | - | - | - | 42.9 | 25.0 | 0 | - | 46.4 | 46.4 |
J. Mains
|
- | 15 | 1.9 | 0.7 | 0.8 | 0.0 | 0.1 | 0.0 | 0.1 | 0.4 | 1.1 | - | - | - | 50.0 | 0.0 | 100.0 | - | 72.7 | 50.0 |
T. Tubelis
|
- | 14 | 1.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.4 | -0.3 | - | - | - | 20.0 | 0.0 | 0 | - | 40.0 | 20.0 |
Grant Weitman
|
- | 16 | 1.6 | 0.1 | 0.2 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | 0.1 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
A. Arnold
|
G | 0 | - | 0.0 | 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