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Chicago Sky

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Chicago Sky
Program History

2015 Team Stats (37 games)

82.9
PPG
79.5
Opp
+3.4
Margin
44.8%
FG%
33.3%
3P%
82.8%
FT%
36.4
RPG
16.3
APG
11.4
TO
80.1
Est. poss./game
81.6
Adj PPG
77.9
Adj Opp PPG
#1
Scoring Rank

Model Outputs

2015
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 → 1094 (#2) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1077 (#4) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +83 elo More → 1036 (#4) HCA +83 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.3 More → +3.7 (#1) HCA +3.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +3.1 (#5) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.617 (#4) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +4.5 More → 0.627 (#2) AdjNet +4.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +4.6 More → 0.628 (#2) AdjNet +4.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.6 | AdjD 77.9 More → 0.582 (#1) AdjO 81.6 | AdjD 77.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.1 | AdjD 77.4 More → 0.561 (#5) AdjO 80.1 | AdjD 77.4
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 → 0.601 (#2) 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 → 0.597 (#4) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 119 | GP 37 More → 1069 (#3) RD 119 | GP 37

2015 Schedule & Results

Date Vs/At Opponent Result Score
2015-06-05 vs Indiana Fever W 95 - 72
2015-06-06 @ Tulsa Shock L 93 - 101
2015-06-11 @ Connecticut Sun L 65 - 67
2015-06-14 @ Indiana Fever W 98 - 72
2015-06-19 @ Atlanta Dream L 73 - 74
2015-06-20 @ San Antonio Stars W 95 - 87
2015-06-24 vs Atlanta Dream W 100 - 96
2015-06-26 @ Indiana Fever W 83 - 77
2015-06-28 @ Washington Mystics L 71 - 86
2015-06-30 vs New York Liberty L 81 - 89
2015-07-02 @ Connecticut Sun W 77 - 74
2015-07-10 vs Minnesota Lynx W 90 - 83
2015-07-12 vs Connecticut Sun W 96 - 76
2015-07-15 vs Washington Mystics W 85 - 57
2015-07-17 @ Minnesota Lynx L 66 - 84
2015-07-19 vs San Antonio Stars W 93 - 82
2015-07-21 vs Atlanta Dream W 97 - 92
2015-07-28 @ Phoenix Mercury L 87 - 89
2015-07-31 vs Los Angeles Sparks L 77 - 88
2015-08-02 vs Washington Mystics W 71 - 68
2015-08-04 vs Indiana Fever W 106 - 82
2015-08-07 vs New York Liberty L 63 - 77
2015-08-09 vs Phoenix Mercury W 74 - 64
2015-08-11 @ New York Liberty L 63 - 84
2015-08-14 @ Seattle Storm W 94 - 84
2015-08-16 @ Los Angeles Sparks L 64 - 76
2015-08-21 vs Washington Mystics W 87 - 85
2015-08-23 @ Washington Mystics W 66 - 64
2015-08-29 @ Atlanta Dream W 98 - 96
2015-08-30 vs Connecticut Sun L 68 - 72
2015-09-03 @ New York Liberty W 82 - 60
2015-09-06 vs Seattle Storm W 93 - 65
2015-09-11 vs Tulsa Shock W 92 - 71
2015-09-13 @ Connecticut Sun L 75 - 86
2015-09-17 vs Indiana Fever W 77 - 72
2015-09-19 @ Indiana Fever L 82 - 89
2015-09-21 vs Indiana Fever L 89 - 100

2015 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
Elena Delle Donne Elena Delle Donne F 37 32.0 22.5 7.8 1.4 1.0 1.9 1.1 16.0 17.4 - - - - 46.5 33.5 95.5 - 59.7 50.9
C. Pondexter C. Pondexter G 35 28.3 13.4 3.3 2.1 1.0 0.2 1.3 12.0 6.7 - - - - 42.0 36.4 81.2 - 49.9 44.9
Courtney Vandersloot Courtney Vandersloot - 40 28.9 11.4 3.4 5.8 1.3 0.6 2.1 9.1 11.2 - - - - 47.3 39.4 90.0 - 57.0 52.6
Allie Quigley Allie Quigley G 38 22.1 11.0 1.7 1.8 0.4 0.4 1.3 9.9 4.2 - - - - 44.6 34.4 83.0 - 52.6 50.3
S. Hunter S. Hunter - 39 21.3 7.0 5.7 1.2 0.7 1.2 0.9 6.4 8.5 - - - - 49.0 0 81.1 - 51.6 49.0
C. Clements C. Clements G 3 11.7 6.3 1.7 0.3 0.7 0.0 0.3 5.0 3.7 - - - - 40.0 57.1 100.0 - 58.2 53.3
E. de Souza E. de Souza F 20 19.8 5.8 5.4 0.5 0.6 0.8 0.7 5.0 7.2 - - - - 50.5 0 54.2 - 51.5 50.5
C. dos Santos C. dos Santos C 37 16.1 4.8 4.3 0.7 0.6 0.5 1.1 4.0 5.7 - - - - 46.3 0 65.5 - 50.4 46.3
T. Young T. Young F 25 16.6 4.1 3.0 1.3 0.6 0.3 1.0 4.1 4.3 - - - - 37.3 0 81.8 - 44.2 37.3
J. Faulkner J. Faulkner G 39 10.1 3.9 1.0 1.7 0.4 0.2 1.2 4.1 1.9 - - - - 39.2 16.0 80.0 - 44.4 40.5
M. Gatling M. Gatling F 3 8.0 3.3 0.7 0.3 0.0 0.7 1.0 1.7 2.3 - - - - 60.0 0 100.0 - 74.0 60.0
Betnijah Laney-Hamilton Betnijah Laney-Hamilton F 36 12.6 2.9 2.1 0.6 0.5 0.2 0.6 3.0 2.7 - - - - 39.4 11.1 72.0 - 43.8 39.9
Cheyenne Parker-Tyus Cheyenne Parker-Tyus F 35 9.7 2.4 2.7 0.2 0.3 0.7 0.5 2.5 3.4 - - - - 41.9 0 41.4 - 42.5 41.9
V. Macaulay V. Macaulay C 7 7.9 2.3 1.3 0.0 0.4 0.1 0.9 2.0 1.3 - - - - 42.9 0 100.0 - 50.8 42.9
S. Goodlett S. Goodlett C 19 13.1 2.2 2.0 0.3 0.2 0.5 1.0 1.8 2.4 - - - - 50.0 0 72.7 - 54.1 50.0
J. Gemelos J. Gemelos G 20 6.7 1.9 0.8 0.7 0.4 0.1 0.6 1.6 1.6 - - - - 43.8 35.0 50.0 - 54.8 54.7

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

2015 Shot Zones

2801 located field-goal attempts in 40 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).

Donne17% Donne37% Pondexter22% Hunter22% Pondexter22% Pondexter37% Pondexter60% Donne35% Donne41% Vandersloot28%
Points: who the team's points here most likely come from
Vandersloot15% Donne29% Donne26% Pondexter18% Pondexter23% Pondexter32% Vandersloot40% Donne34% Donne44% Quigley28%
Misses: who misses most here

Elena Delle DonneCourtney VanderslootAllie QuigleyC. PondexterS. Hunter

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 509-907 56.1 1018 Elena Delle Donne 17% (178 pts) Courtney Vandersloot 17% (172 pts) Courtney Vandersloot 15% (60 misses) C. Pondexter 14% (56 misses)
Paint (non-RA) 166-396 41.9 332 Elena Delle Donne 37% (122 pts) Allie Quigley 12% (40 pts) Elena Delle Donne 29% (66 misses) S. Hunter 12% (28 misses)
Mid-range left 172-415 41.4 344 C. Pondexter 22% (74 pts) Allie Quigley 20% (68 pts) Elena Delle Donne 26% (62 misses) C. Pondexter 21% (52 misses)
Mid-range center 98-207 47.3 196 S. Hunter 22% (44 pts) C. Pondexter 17% (34 pts) C. Pondexter 18% (20 misses) S. Hunter 18% (20 misses)
Mid-range right 142-382 37.2 284 C. Pondexter 22% (62 pts) Allie Quigley 20% (56 pts) C. Pondexter 23% (55 misses) Allie Quigley 20% (48 misses)
Left corner 3 19-44 43.2 57 C. Pondexter 37% (21 pts) Allie Quigley 32% (18 pts) C. Pondexter 32% (8 misses) Allie Quigley 28% (7 misses)
Right corner 3 5-15 33.3 15 C. Pondexter 60% (9 pts) Allie Quigley 20% (3 pts) Courtney Vandersloot 40% (4 misses) C. Pondexter 30% (3 misses)
Above-break 3 left 69-168 41.1 207 Elena Delle Donne 35% (72 pts) Allie Quigley 26% (54 pts) Elena Delle Donne 34% (34 misses) Allie Quigley 25% (25 misses)
Above-break 3 center 29-107 27.1 87 Elena Delle Donne 41% (36 pts) Courtney Vandersloot 31% (27 pts) Elena Delle Donne 44% (34 misses) Courtney Vandersloot 22% (17 misses)
Above-break 3 right 50-160 31.2 150 Courtney Vandersloot 28% (42 pts) Elena Delle Donne 26% (39 pts) Allie Quigley 28% (31 misses) Elena Delle Donne 25% (28 misses)