Phoenix Mercury
2025 Team Stats (57 games)
82.6
PPG
80.6
Opp
+2.0
Margin
43.2%
FG%
33.5%
3P%
78.8%
FT%
35.4
RPG
20.7
APG
12.7
TO
89.3
Pace
85.6
AdjO
78.8
AdjD
#6
Rank
Model Outputs
2025
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 → | 1087 (#5) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1085 (#4) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1037 (#5) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.7 (#6) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.2 (#6) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.585 (#7) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.585 (#7) | NetEff +2.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.780 (#5) | AdjNet +9.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.787 (#5) | AdjNet +9.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.651 (#6) | AdjO 85.6 | AdjD 78.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.565 (#5) | AdjO 82.7 | AdjD 79.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.656 (#5) | 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 → | 0.640 (#5) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1073 (#5) | RD 67 | GP 57 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Satou Sabally
|
F | 51 | 27.5 | 16.8 | 6.1 | 2.5 | 1.2 | 0.3 | 2.1 | 13.3 | 11.5 | - | - | - | 40.5 | 33.2 | 84.0 | -0.21 | 54.3 | 47.6 |
Kahleah Copper
|
G | 40 | 28.6 | 16.0 | 3.0 | 1.4 | 0.8 | 0.2 | 2.0 | 13.2 | 6.1 | - | - | - | 43.6 | 35.7 | 86.8 | -0.87 | 55.1 | 50.7 |
A. Thomas
|
F | 52 | 32.0 | 15.5 | 8.7 | 8.9 | 1.6 | 0.4 | 3.5 | 12.0 | 19.5 | - | - | - | 52.3 | 0.0 | 68.0 | - | 55.7 | 52.3 |
D. Bonner
|
F | 35 | 25.0 | 10.3 | 5.1 | 1.0 | 0.8 | 0.4 | 0.7 | 8.3 | 8.6 | - | - | - | 41.8 | 31.8 | 83.5 | -0.62 | 54.4 | 48.8 |
Sami Whitcomb
|
G | 56 | 23.4 | 8.2 | 2.5 | 2.5 | 0.8 | 0.2 | 1.5 | 7.5 | 5.3 | - | - | - | 36.6 | 34.0 | 83.1 | -0.42 | 51.5 | 48.6 |
M. Akoa Makani
|
G | 53 | 22.0 | 7.5 | 2.2 | 2.8 | 0.7 | 0.1 | 1.4 | 6.4 | 5.5 | - | - | - | 41.6 | 39.0 | 92.9 | - | 54.2 | 50.4 |
K. Laksa
|
G | 35 | 18.1 | 5.7 | 1.2 | 0.6 | 0.3 | 0.2 | 0.6 | 5.2 | 2.2 | - | - | - | 36.6 | 31.7 | 81.2 | - | 50.5 | 47.3 |
Celeste Taylor
|
G | 2 | 15.5 | 5.5 | 2.0 | 0.5 | 1.0 | 0.0 | 1.5 | 3.5 | 4.0 | - | - | - | 57.1 | 25.0 | 66.7 | - | 66.1 | 64.3 |
K. Westbeld
|
F | 56 | 17.1 | 5.0 | 2.5 | 0.8 | 0.8 | 0.4 | 0.5 | 4.7 | 4.3 | - | - | - | 37.5 | 33.5 | 78.1 | - | 50.0 | 47.9 |
K. Brown
|
C | 34 | 12.4 | 5.0 | 3.8 | 0.5 | 0.3 | 0.7 | 0.8 | 3.4 | 6.1 | - | - | - | 57.9 | 33.3 | 80.0 | - | 63.9 | 59.2 |
L. Held
|
G | 35 | 14.0 | 5.0 | 1.1 | 1.0 | 0.7 | 0.1 | 0.9 | 4.9 | 2.2 | - | - | - | 37.6 | 31.2 | 81.8 | - | 49.0 | 46.5 |
A. Makurat
|
- | 1 | 10.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 0.0 | - | - | - | 50.0 | 100.0 | 0 | - | 62.5 | 62.5 |
A. Prince
|
F | 3 | 18.7 | 4.7 | 5.0 | 1.3 | 0.7 | 0.3 | 1.7 | 6.0 | 4.3 | - | - | - | 33.3 | 14.3 | 100.0 | - | 38.0 | 36.1 |
N. Mack
|
F | 47 | 17.2 | 4.5 | 5.3 | 0.9 | 0.7 | 1.3 | 0.4 | 3.4 | 8.8 | - | - | - | 57.4 | 0.0 | 52.2 | -0.27 | 57.6 | 57.4 |
K. Williams
|
G | 13 | 8.8 | 3.6 | 0.9 | 0.8 | 0.2 | 0.0 | 0.5 | 3.2 | 1.9 | - | - | - | 43.9 | 34.6 | 50.0 | - | 55.0 | 54.9 |
M. Musa
|
C | 12 | 10.1 | 3.3 | 2.6 | 0.6 | 0.3 | 0.2 | 0.6 | 2.9 | 3.5 | - | - | - | 45.7 | 50.0 | 63.6 | - | 50.2 | 47.1 |
M. McConnell
|
- | 3 | 11.0 | 3.0 | 0.3 | 1.3 | 1.0 | 0.0 | 1.0 | 2.7 | 2.0 | - | - | - | 37.5 | 50.0 | 100.0 | - | 53.3 | 50.0 |
S. Heal
|
G | 1 | 8.0 | 3.0 | 7.0 | 2.0 | 0.0 | 0.0 | 1.0 | 3.0 | 8.0 | - | - | - | 33.3 | 50.0 | 0 | - | 50.0 | 50.0 |
Haley Jones
|
G | 4 | 11.8 | 2.2 | 2.0 | 1.0 | 0.2 | 0.2 | 0.5 | 3.0 | 2.2 | - | - | - | 33.3 | 50.0 | 0 | 0.43 | 37.5 | 37.5 |
Sevgi Uzun
|
G | 9 | 14.9 | 1.9 | 1.2 | 1.9 | 0.4 | 0.3 | 1.6 | 2.3 | 1.9 | - | - | - | 28.6 | 9.1 | 66.7 | -0.26 | 36.0 | 31.0 |
T. Poindexter
|
- | 2 | 9.5 | 0.0 | 1.5 | 0.5 | 0.0 | 0.0 | 1.0 | 1.0 | 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