Arizona
2019 Team Stats (2 games)
82.5
PPG
74.0
Opp
+8.5
Margin
46.0%
FG%
26.5%
3P%
75.0%
FT%
40.5
RPG
16.5
APG
9.0
TO
-
Est. poss./game
71.0
Adj PPG
64.4
Adj Opp PPG
#75
Scoring Rank
Model Outputs
2018-2019
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 | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1079 (#117) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 966 (#223) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +7.4 (#73) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +3.9 (#105) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.582 (#122) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.782 (#75) | AdjNet +11.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.785 (#75) | AdjNet +11.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.647 (#75) | AdjO 71.0 | AdjD 64.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.517 (#158) | AdjO 68.0 | AdjD 67.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.597 (#122) | 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 | 0.571 (#133) | 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 | 1015 (#163) | RD 136 | GP 32 |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brandon Randolph
|
G | 29 | 28.9 | 12.3 | 3.3 | 1.0 | 0.6 | 0.3 | 1.3 | 2.4 | 13.8 | 46 | 28 | 1.6 | 2.3 | 40.0 | 8.7 | 76.5 | -1.17 | 229.7 | 41.4 |
Ryan Luther
|
F | 3 | 23.0 | 12.0 | 4.0 | 0.7 | 1.3 | 0.0 | 0.7 | 8.0 | 9.3 | 47 | 28 | 1.7 | 2.8 | 58.3 | 50.0 | 100.0 | 2.53 | 71.1 | 68.8 |
Brandon Williams
|
- | 23 | 28.2 | 11.7 | 2.7 | 3.3 | 0.8 | 0.2 | 2.0 | 2.5 | 14.2 | 48 | 23 | 2.1 | 3.1 | 36.2 | 28.1 | 81.0 | -0.09 | 175.2 | 44.0 |
Chase Jeter
|
C | 27 | 24.4 | 10.0 | 6.5 | 0.7 | 0.5 | 0.6 | 1.3 | 1.2 | 15.8 | 94 | 26 | 3.6 | 6.0 | 56.2 | 0 | 63.0 | 3.7 | 308.8 | 56.2 |
Justin Coleman
|
G | 3 | 29.3 | 9.3 | 1.3 | 3.0 | 0.7 | 0.0 | 1.3 | 7.3 | 5.7 | 65 | 28 | 2.3 | 3.1 | 50.0 | 38.5 | 50.0 | 2.45 | 61.2 | 61.4 |
Dylan Smith
|
G | 29 | 24.6 | 7.4 | 3.6 | 1.1 | 0.6 | 0.3 | 1.7 | 1.4 | 10.0 | -18 | 28 | -0.6 | -1.1 | 29.3 | 24.0 | 100.0 | -1.8 | 242.6 | 36.6 |
Ira Lee
|
F | 28 | 18.6 | 6.8 | 4.2 | 0.5 | 0.2 | 0.8 | 1.2 | 0.7 | 10.5 | -69 | 27 | -2.6 | -5.8 | 60.0 | 0 | 81.2 | -2.43 | 351.3 | 60.0 |
Emmanuel Akot
|
- | 14 | 19.4 | 3.8 | 2.4 | 1.3 | 0.3 | 0.1 | 1.0 | 1.0 | 5.8 | 79 | 14 | 5.6 | 11.9 | 21.4 | 0.0 | 42.9 | 3.25 | 155.2 | 21.4 |
Alex Barcello
|
G | 27 | 9.9 | 3.5 | 1.0 | 0.5 | 0.3 | 0.0 | 0.3 | 0.7 | 4.3 | -5 | 25 | -0.2 | -0.8 | 50.0 | 55.6 | 100.0 | -0.76 | 251.6 | 63.9 |
Devonaire Doutrive
|
G | 24 | 11.2 | 3.5 | 3.1 | 0.8 | 0.5 | 0.0 | 0.7 | 0.5 | 6.7 | -21 | 24 | -0.9 | -3.2 | 41.7 | 33.3 | 0 | -2.58 | 345.8 | 45.8 |
Jake Desjardins
|
F | 6 | 3.2 | 0.8 | 0.8 | 0.2 | 0.3 | 0.2 | 0.0 | 0.0 | 2.3 | -15 | 8 | -1.9 | -26.1 | 0 | 0 | 0 | -3.56 | 0 | 0 |
Matt Weyand
|
F | 3 | 1.3 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Kory Jones
|
G | 1 | 2.0 | 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
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