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Chicago Sky

Also known as: Chicago Sky
Program History

2026 Team Stats (44 games)

86.8
PPG
90.7
Opp
-3.9
Margin
44.5%
FG%
31.5%
3P%
76.5%
FT%
33.0
RPG
21.6
APG
12.7
TO
84.8
Est. poss./game
86.1
Adj PPG
89.7
Adj Opp PPG
#10
Scoring Rank

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 → 911 (#10) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 903 (#12) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +66 elo More → 940 (#11) HCA +66 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.9 More → -3.7 (#10) HCA +1.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More → -5.8 (#12) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.377 (#10) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.5 More → 0.377 (#10) NetEff -4.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.3 More → 0.378 (#10) AdjNet -4.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.4 More → 0.377 (#10) AdjNet -4.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 86.1 | AdjD 89.7 More → 0.418 (#10) AdjO 86.1 | AdjD 89.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 86.3 | AdjD 91.3 More → 0.388 (#12) AdjO 86.3 | AdjD 91.3
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 → 0.384 (#11) 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 → 0.378 (#12) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 160 | GP 44 More → 914 (#11) RD 160 | GP 44

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-05-09 @ Portland Fire W 98 - 83
2026-05-13 @ Golden State Valkyries W 69 - 63
2026-05-15 @ Phoenix Mercury L 83 - 91
2026-05-17 @ Minnesota Lynx W 86 - 79
2026-05-20 vs Dallas Wings L 89 - 99
2026-05-23 vs Minnesota Lynx L 75 - 85
2026-05-27 vs Toronto Tempo L 104 - 111
2026-05-29 vs Minnesota Lynx L 58 - 79
2026-06-02 @ Washington Mystics L 72 - 90
2026-06-05 vs Connecticut Sun W 85 - 80
2026-06-07 @ Toronto Tempo L 68 - 85
2026-06-09 vs Atlanta Dream L 75 - 82
2026-06-11 @ Indiana Fever L 106 - 114
2026-06-17 vs New York Liberty L 95 - 96
2026-06-20 @ Dallas Wings L 92 - 93
2026-06-22 @ Connecticut Sun L 63 - 92
2026-06-24 vs Portland Fire W 101 - 78
2026-06-26 vs Portland Fire W 124 - 94
2026-06-28 vs Las Vegas Aces L 99 - 107
2026-07-03 @ Las Vegas Aces L 90 - 98
2026-07-07 @ Phoenix Mercury W 77 - 66
2026-07-10 @ Los Angeles Sparks L 87 - 102
2026-07-12 @ Dallas Wings L 91 - 96
2026-07-15 vs Seattle Storm W 95 - 90
2026-07-17 vs Los Angeles Sparks W 96 - 82
2026-07-19 @ Atlanta Dream L 91 - 93
2026-07-22 @ New York Liberty L 94 - 95
2026-07-30 vs Connecticut Sun W 94 - 88
2026-08-01 vs Las Vegas Aces W 84 - 83
2026-08-03 vs Phoenix Mercury L 101 - 106
2026-08-05 vs Los Angeles Sparks W 95 - 88
2026-08-08 vs Indiana Fever L 86 - 90
2026-08-10 @ Seattle Storm L 88 - 97
2026-08-12 @ Golden State Valkyries L 71 - 91
2026-08-16 @ Seattle Storm W 82 - 80
2026-08-18 vs New York Liberty W 93 - 86
2026-08-21 vs Golden State Valkyries W 73 - 70
2026-08-23 vs Indiana Fever L 90 - 113
2026-08-25 @ Connecticut Sun L 81 - 87
2026-08-29 @ New York Liberty L 66 - 85
2026-09-17 vs Washington Mystics L 80 - 110
2026-09-19 @ Atlanta Dream L 81 - 106
2026-09-22 vs Toronto Tempo W 97 - 85
2026-09-24 @ Washington Mystics L 93 - 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Rickea Jackson Rickea Jackson F 6 26.8 16.0 4.2 1.8 0.2 1.2 2.5 13.0 7.8 - - - - 37.2 25.0 88.9 - 51.2 41.0
Kamilla Cardoso Kamilla Cardoso C 45 26.2 14.3 8.4 2.4 0.6 1.4 1.8 10.0 15.3 - - - - 54.9 0 73.2 - 59.6 54.9
Skylar Diggins-Smith Skylar Diggins-Smith G 20 28.4 13.8 3.0 4.8 0.9 0.6 1.7 11.3 10.1 - - - - 39.2 37.1 75.8 - 51.3 44.9
S. Taylor S. Taylor - 39 20.3 13.7 1.7 2.0 0.6 0.3 1.6 11.2 5.4 - - - - 42.2 31.9 76.7 - 54.5 50.7
Hailey Van Lith Hailey Van Lith G 2 20.5 12.5 1.0 4.5 1.0 0.0 0.5 7.0 11.5 - - - - 71.4 50.0 80.0 - 77.2 75.0
Natasha Cloud Natasha Cloud G 40 28.2 11.1 3.4 4.8 1.1 0.3 2.1 7.7 10.9 - - - - 49.0 35.7 85.5 - 62.2 56.4
Azurá Stevens Azurá Stevens F 32 24.5 10.6 6.4 2.1 0.8 0.8 1.6 9.5 9.6 - - - - 42.6 25.5 77.9 - 50.9 47.2
Courtney Vandersloot Courtney Vandersloot - 27 22.5 9.6 2.9 5.4 1.1 0.3 2.1 7.3 9.9 - - - - 45.5 40.9 78.5 - 56.9 52.3
DiJonai Carrington DiJonai Carrington G 11 16.2 8.8 3.1 0.6 0.6 0.2 0.8 8.5 4.0 - - - - 33.0 28.0 73.7 - 43.8 36.7
Gabriela Jaquez Gabriela Jaquez - 41 19.3 7.2 3.0 0.9 0.7 0.0 1.1 6.0 4.7 - - - - 43.9 26.0 82.4 - 53.2 47.7
Jacy Sheldon Jacy Sheldon G 46 20.5 6.2 1.4 1.7 0.8 0.2 1.0 5.4 3.9 - - - - 41.6 29.3 86.0 - 52.8 48.8
C. Bibby C. Bibby F 4 12.8 5.5 0.5 1.5 0.5 0.2 0.5 5.0 2.8 - - - - 40.0 33.3 100.0 - 52.7 50.0
Tonie Morgan Tonie Morgan - 2 11.0 5.5 3.5 2.0 0.5 0.0 0.5 3.5 7.5 - - - - 57.1 100.0 100.0 - 69.8 64.3
Rachel Banham Rachel Banham G 42 13.9 5.3 1.1 1.3 0.3 0.2 0.8 4.8 2.5 - - - - 38.0 34.7 78.3 - 52.6 50.7
Elizabeth Williams Elizabeth Williams C 44 17.2 5.2 3.6 1.4 0.7 0.9 0.8 4.5 6.5 - - - - 46.7 0 45.2 - 47.5 46.7
Aicha Coulibaly Aicha Coulibaly - 32 13.6 5.1 2.6 0.6 0.7 0.3 0.7 3.6 5.0 - - - - 43.1 4.3 88.7 - 55.7 43.5
Kate Martin Kate Martin G 2 12.5 5.0 0.0 1.0 0.0 0.0 0.5 3.0 2.5 - - - - 66.7 50.0 0 - 83.3 83.3
Morgan Maly Morgan Maly - 5 14.0 5.0 2.8 0.6 0.2 0.6 0.2 3.6 5.4 - - - - 44.4 45.5 100.0 - 63.3 58.3
Latasha Lattimore Latasha Lattimore - 2 11.5 3.0 1.0 0.0 0.5 0.5 0.0 1.5 3.5 - - - - 66.7 50.0 33.3 - 69.4 83.3
Megan Nestor Megan Nestor - 2 10.5 3.0 2.0 0.5 1.0 0.0 0.0 2.5 4.0 - - - - 20.0 0 66.7 - 39.3 20.0
S. Cooks S. Cooks - 1 10.0 2.0 1.0 0.0 0.0 1.0 1.0 2.0 1.0 - - - - 50.0 0.0 0 - 50.0 50.0
Maddy Westbeld Maddy Westbeld F 4 10.2 2.0 2.2 1.0 0.2 0.2 0.5 2.5 2.8 - - - - 30.0 28.6 0 - 40.0 40.0
Jordan Hobbs Jordan Hobbs - 2 12.5 1.5 2.0 1.0 0.0 0.0 0.5 1.0 3.0 - - - - 50.0 100.0 0 - 75.0 75.0
Saylor Poffenbarger Saylor Poffenbarger - 5 5.2 0.0 1.2 0.2 0.4 0.0 0.0 0.8 1.0 - - - - 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

2026 Shot Zones

3183 located field-goal attempts in 46 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Cardoso30% Cardoso14% Taylor18% Cloud24% Vandersloot20% Sheldon21% Sheldon25% Taylor22% Taylor24% Taylor23%
Points: who the team's points here most likely come from
Cardoso30% Cardoso16% Diggins-Smith16% Taylor24% Taylor15% Taylor22% Stevens28% Taylor20% Taylor25% Taylor22%
Misses: who misses most here

Kamilla CardosoS. TaylorNatasha CloudAzurá StevensJacy SheldonCourtney VanderslootSkylar Diggins-Smith

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 706-1156 61.1 1412 Kamilla Cardoso 30% (418 pts) Azurá Stevens 11% (150 pts) Kamilla Cardoso 30% (134 misses) Azurá Stevens 11% (49 misses)
Paint (non-RA) 244-617 39.5 488 Kamilla Cardoso 14% (70 pts) Gabriela Jaquez 12% (60 pts) Kamilla Cardoso 16% (59 misses) Gabriela Jaquez 12% (46 misses)
Mid-range left 39-100 39.0 78 S. Taylor 18% (14 pts) Natasha Cloud 13% (10 pts) Skylar Diggins-Smith 16% (10 misses) S. Taylor 15% (9 misses)
Mid-range center 50-105 47.6 100 Natasha Cloud 24% (24 pts) Rachel Banham 12% (12 pts) S. Taylor 24% (13 misses) Natasha Cloud 22% (12 misses)
Mid-range right 46-147 31.3 92 Courtney Vandersloot 20% (18 pts) Natasha Cloud 20% (18 pts) S. Taylor 15% (15 misses) Jacy Sheldon 12% (12 misses)
Left corner 3 24-82 29.3 72 Jacy Sheldon 21% (15 pts) Azurá Stevens 17% (12 pts) S. Taylor 22% (13 misses) Jacy Sheldon 16% (9 misses)
Right corner 3 24-77 31.2 72 Jacy Sheldon 25% (18 pts) Azurá Stevens 17% (12 pts) Azurá Stevens 28% (15 misses) S. Taylor 19% (10 misses)
Above-break 3 left 122-384 31.8 366 S. Taylor 22% (81 pts) Natasha Cloud 18% (66 pts) S. Taylor 20% (53 misses) Rachel Banham 15% (39 misses)
Above-break 3 center 62-169 36.7 186 S. Taylor 24% (45 pts) Rachel Banham 23% (42 pts) S. Taylor 25% (27 misses) Natasha Cloud 16% (17 misses)
Above-break 3 right 105-346 30.3 315 S. Taylor 23% (72 pts) Rachel Banham 14% (45 pts) S. Taylor 22% (53 misses) Rachel Banham 14% (34 misses)