🐻⬇️🏀

Phoenix Mercury

Also known as: PHX
Program History

2026 Team Stats (2 games)

97.0
PPG
87.0
Opp
-2.0
Margin
46.9%
FG%
39.7%
3P%
84.5%
FT%
38.0
RPG
23.0
APG
17.5
TO
94.3
Pace

Model Outputs

2026
Catalog

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 → 915 (#9) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 906 (#12) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +51 elo More → 925 (#13) HCA +51 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.6 More → -3.0 (#10) HCA +1.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.8 More → -2.0 (#12) HCA +1.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.357 (#10) -
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 82.9 | AdjD 86.2 More → 0.426 (#13) AdjO 82.9 | AdjD 86.2
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.424 (#12) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.417 (#13) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 84 | GP 28 More → 898 (#14) RD 84 | GP 28

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-04-25 vs Chicago Sky W 108 - 104
2026-04-29 vs Japan W 86 - 60
2026-05-09 @ Las Vegas Aces W 99 - 66
2026-05-10 @ Golden State Valkyries L 79 - 95
2026-05-12 vs Minnesota Lynx L 84 - 88
2026-05-15 vs Chicago Sky W 91 - 83
2026-05-19 vs Toronto Tempo L 90 - 98
2026-05-21 vs Los Angeles Sparks L 88 - 97
2026-05-24 @ Atlanta Dream L 80 - 82
2026-05-27 @ New York Liberty L 74 - 84
2026-05-29 @ New York Liberty L 68 - 75
2026-06-01 vs Minnesota Lynx L 77 - 111
2026-06-03 @ Seattle Storm W 72 - 68
2026-06-05 @ Portland Fire W 78 - 72
2026-06-09 @ Golden State Valkyries L 81 - 87
2026-06-11 @ Dallas Wings L 70 - 85
2026-06-13 vs Los Angeles Sparks L 102 - 111
2026-06-17 vs Las Vegas Aces L 76 - 86
2026-06-20 vs Seattle Storm W 93 - 73
2026-06-22 @ Indiana Fever L 77 - 86
2026-06-24 @ Indiana Fever W 111 - 109
2026-06-27 @ Toronto Tempo W 89 - 80
2026-07-02 vs Seattle Storm W 90 - 67
2026-07-07 vs Chicago Sky L 66 - 77
2026-07-09 vs Indiana Fever L 89 - 92
2026-07-11 @ Las Vegas Aces L 58 - 106
2026-07-13 @ Minnesota Lynx L 100 - 104
2026-07-17 vs Connecticut Sun L 83 - 96
2026-07-19 vs Connecticut Sun W 72 - 63
2026-07-22 @ Los Angeles Sparks W 86 - 82
2026-07-29 vs Golden State Valkyries W 91 - 89
2026-08-01 vs New York Liberty L 92 - 94
2026-08-03 @ Chicago Sky W 106 - 101

2026 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%
Kahleah Copper Kahleah Copper G 2 18.5 18.0 2.0 0.5 0.5 0.0 1.0 11.5 8.5 - - - 56.5 58.3 75.0 - 72.7 71.7
K. Dunn K. Dunn - 1 12.0 13.0 3.0 1.0 0.0 0.0 1.0 4.0 12.0 - - - 100.0 100.0 100.0 - 133.2 137.5
K. Williams K. Williams G 2 19.5 12.0 2.0 2.0 1.0 0.0 2.5 9.5 5.0 - - - 42.1 42.9 66.7 - 59.1 57.9
Q. Carter Q. Carter F 1 19.0 10.0 3.0 0.0 2.0 0.0 0.0 3.0 12.0 - - - 66.7 50.0 83.3 - 88.7 83.3
N. Mack N. Mack F 2 17.5 8.5 7.5 0.5 1.5 0.0 0.5 5.0 12.5 - - - 70.0 0 75.0 - 72.3 70.0
Sami Whitcomb Sami Whitcomb G 2 17.0 7.5 2.0 1.0 0.0 0.0 1.5 3.5 5.5 - - - 57.1 66.7 100.0 - 90.1 85.7
D. Bonner D. Bonner F 2 17.5 6.5 3.5 0.5 0.5 0.5 2.0 7.5 2.0 - - - 33.3 16.7 100.0 - 40.9 36.7
A. Thomas A. Thomas F 2 20.0 6.0 4.5 8.5 2.0 0.0 4.0 3.5 13.5 - - - 28.6 0 100.0 - 57.0 28.6
S. Carter S. Carter - 1 11.0 6.0 1.0 0.0 0.0 0.0 0.0 3.0 4.0 - - - 66.7 0 50.0 - 63.0 66.7
J. Alleyne J. Alleyne C 2 9.5 5.0 4.0 2.0 0.0 0.5 1.5 2.0 8.0 - - - 100.0 0 100.0 - 102.5 100.0
S. Ciezki S. Ciezki - 2 8.0 5.0 0.0 3.5 0.0 0.0 1.0 3.0 4.5 - - - 50.0 33.3 100.0 - 68.3 58.3
A. Prechtel A. Prechtel - 2 12.5 4.5 4.0 1.0 0.0 1.5 1.0 4.5 5.5 - - - 22.2 25.0 50.0 - 38.7 33.3
L. Jensen L. Jensen - 2 12.5 4.0 1.0 1.5 0.0 0.0 1.0 2.5 3.0 - - - 40.0 0.0 100.0 - 59.2 40.0
Aisha Sheppard Aisha Sheppard G 2 6.5 2.5 0.5 1.0 0.5 0.0 0.5 1.0 3.0 - - - 50.0 0.0 100.0 - 75.3 50.0
M. Maly M. Maly - 2 15.0 2.0 2.0 0.5 1.0 0.0 0.0 3.5 2.0 - - - 14.3 0.0 100.0 - 25.4 14.3
M. Doogan M. Doogan - 2 6.0 1.0 1.5 0.0 0.0 0.0 0.5 2.0 0.0 - - - 0.0 0.0 100.0 - 20.5 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