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Chicago Sky

Also known as: Chicago Sky
Program History

2012 Team Stats (34 games)

75.2
PPG
75.5
Opp
-0.2
Margin
43.1%
FG%
34.0%
3P%
73.0%
FT%
34.9
RPG
16.3
APG
16.7
TO
79.0
Est. poss./game
74.1
Adj PPG
74.1
Adj Opp PPG
#8
Scoring Rank

Model Outputs

2012
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 โ†’ 957 (#8) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 947 (#9) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +80 elo More โ†’ 958 (#9) HCA +80 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.2 More โ†’ +0.0 (#8) HCA +3.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.5 More โ†’ +1.0 (#8) HCA +3.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.491 (#7) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.2 More โ†’ 0.507 (#7) AdjNet +0.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.3 More โ†’ 0.507 (#7) AdjNet +0.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 74.1 | AdjD 74.1 More โ†’ 0.500 (#8) AdjO 74.1 | AdjD 74.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.2 | AdjD 73.3 More โ†’ 0.520 (#8) AdjO 74.2 | AdjD 73.3
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 โ†’ 0.482 (#8) 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 โ†’ 0.486 (#8) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 149 | GP 34 More โ†’ 929 (#9) RD 149 | GP 34

2012 Schedule & Results

Date Vs/At Opponent Result Score
2012-05-19 @ Washington Mystics W 69 - 57
2012-05-25 vs Indiana Fever L 72 - 83
2012-05-30 @ Las Vegas Aces W 77 - 63
2012-06-01 vs Washington Mystics W 65 - 63
2012-06-02 @ Atlanta Dream W 94 - 92
2012-06-08 vs Dallas Wings W 98 - 91
2012-06-10 @ New York Liberty W 73 - 64
2012-06-13 vs Seattle Storm W 74 - 58
2012-06-16 @ Indiana Fever L 70 - 84
2012-06-23 @ Minnesota Lynx L 67 - 79
2012-06-27 vs Indiana Fever L 72 - 81
2012-06-29 vs Phoenix Mercury L 81 - 84
2012-07-01 vs Atlanta Dream W 71 - 69
2012-07-06 vs New York Liberty L 59 - 64
2012-07-07 @ Indiana Fever L 86 - 88
2012-07-11 vs Las Vegas Aces L 68 - 77
2012-07-13 vs Connecticut Sun L 78 - 80
2012-08-17 vs Atlanta Dream L 76 - 82
2012-08-19 @ Washington Mystics L 71 - 75
2012-08-21 vs New York Liberty L 67 - 77
2012-08-22 @ Atlanta Dream L 71 - 82
2012-08-24 @ Dallas Wings L 78 - 81
2012-08-26 @ Connecticut Sun W 82 - 70
2012-08-28 vs Connecticut Sun L 72 - 83
2012-09-01 @ Indiana Fever L 64 - 81
2012-09-02 vs Los Angeles Sparks W 85 - 74
2012-09-07 @ New York Liberty W 92 - 83
2012-09-09 @ Connecticut Sun L 77 - 82
2012-09-11 vs Minnesota Lynx W 83 - 70
2012-09-13 @ Los Angeles Sparks L 77 - 86
2012-09-16 @ Phoenix Mercury W 86 - 55
2012-09-18 @ Seattle Storm L 60 - 75
2012-09-20 vs Atlanta Dream L 66 - 75
2012-09-22 vs Washington Mystics W 77 - 58

2012 Roster

Counting stats use played regular-season games. PM and RAPM use their separate model samples; PM GP shows that sample's game count.

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%
Epiphanny Prince Epiphanny Prince G 26 30.0 18.1 3.5 3.1 1.8 0.3 2.0 13.7 11.1 -91 26 -3.5 -3.5 44.2 40.7 89.9 -0.87 58.4 52.5
Sylvia Fowles Sylvia Fowles G 25 31.1 16.2 10.4 0.8 1.3 1.2 2.1 9.8 18.0 6 25 0.2 0.2 63.8 0 69.2 0.12 66.7 63.8
Swin Cash F 34 30.0 10.6 5.8 2.3 1.0 0.5 2.8 10.1 7.3 -6 34 -0.2 -0.2 36.7 28.1 76.5 -0.28 46.5 41.4
Courtney Vandersloot Courtney Vandersloot G 34 26.7 8.9 2.1 4.6 1.3 0.2 3.3 8.6 5.2 19 34 0.6 0.6 40.5 33.3 64.9 -0.15 47.6 45.4
Shay Murphy G 29 18.6 8.5 2.9 0.9 1.1 0.2 1.0 7.1 5.4 38 29 1.3 1.7 42.0 44.1 73.0 0.61 55.1 52.9
Tamera Young G 33 24.4 8.2 3.7 1.4 1.0 0.2 1.4 8.3 4.9 84 33 2.5 3.0 42.3 0.0 60.6 1.04 44.9 42.3
Sonja Petrovic F 30 15.1 4.8 2.3 1.0 0.5 0.5 1.3 5.0 2.8 -14 30 -0.5 -0.6 35.8 27.9 76.9 -0.33 44.6 41.4
Carolyn Swords C 30 11.1 4.0 3.2 0.3 0.4 0.5 0.6 3.0 4.6 -29 30 -1.0 -1.9 57.1 0 68.2 -0.52 59.1 57.1
Sydney Carter - 1 8.8 4.0 0.0 0.0 1.0 0.0 1.0 6.0 -2.0 - - - - 33.3 0.0 0 - 33.3 33.3
Le'coe Willingham F 33 18.5 3.5 2.9 0.9 0.5 0.1 1.7 3.9 2.3 36 33 1.1 1.4 31.2 27.4 60.9 1.08 41.3 39.1
Ruth Riley G 33 14.4 2.7 2.4 1.0 0.7 0.6 0.8 2.9 3.7 89 33 2.7 4.6 37.9 27.8 78.6 1.59 43.5 40.5
Ticha Penicheiro G 19 12.7 1.7 1.3 2.1 0.4 0.2 2.0 1.8 1.8 16 19 0.8 1.5 35.3 20.0 54.5 0.02 42.5 39.7

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

2012 Shot Zones

2424 located field-goal attempts in 37 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).

Fowles30% Young17% Young28% Riley24% Prince31% Prince36% Murphy40% Prince25% Willingham33% Prince34%
Points: who the team's points here most likely come from
Fowles19% Young17% Young30% Vandersloot28% Vandersloot22% Murphy31% Prince30% Prince25% Cash27% Prince23%
Misses: who misses most here

Epiphanny PrinceSylvia FowlesSwin CashCourtney VanderslootTamera YoungShay MurphyLe'coe WillinghamRuth Riley

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 488-813 60.0 976 Sylvia Fowles 30% (292 pts) Tamera Young 13% (124 pts) Sylvia Fowles 19% (63 misses) Swin Cash 18% (59 misses)
Paint (non-RA) 107-333 32.1 214 Tamera Young 17% (36 pts) Epiphanny Prince 16% (34 pts) Tamera Young 17% (39 misses) Swin Cash 17% (38 misses)
Mid-range left 92-228 40.4 184 Tamera Young 28% (52 pts) Epiphanny Prince 15% (28 pts) Tamera Young 30% (41 misses) Swin Cash 13% (18 misses)
Mid-range center 49-120 40.8 98 Ruth Riley 24% (24 pts) Courtney Vandersloot 20% (20 pts) Courtney Vandersloot 28% (20 misses) Epiphanny Prince 23% (16 misses)
Mid-range right 106-296 35.8 212 Epiphanny Prince 31% (66 pts) Courtney Vandersloot 15% (32 pts) Courtney Vandersloot 22% (41 misses) Epiphanny Prince 18% (34 misses)
Left corner 3 14-40 35.0 42 Epiphanny Prince 36% (15 pts) Swin Cash 21% (9 pts) Shay Murphy 31% (8 misses) Swin Cash 27% (7 misses)
Right corner 3 20-50 40.0 60 Shay Murphy 40% (24 pts) Epiphanny Prince 30% (18 pts) Epiphanny Prince 30% (9 misses) Shay Murphy 23% (7 misses)
Above-break 3 left 63-214 29.4 189 Epiphanny Prince 25% (48 pts) Courtney Vandersloot 21% (39 pts) Epiphanny Prince 25% (37 misses) Swin Cash 16% (24 misses)
Above-break 3 center 30-101 29.7 90 Le'coe Willingham 33% (30 pts) Epiphanny Prince 30% (27 pts) Swin Cash 27% (19 misses) Courtney Vandersloot 24% (17 misses)
Above-break 3 right 70-229 30.6 210 Epiphanny Prince 34% (72 pts) Courtney Vandersloot 17% (36 pts) Epiphanny Prince 23% (36 misses) Shay Murphy 21% (33 misses)