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Allie Quigley

Allie Quigley

Team: Chicago Sky
Position: G

Season Averages — 2014

Observed regular-season final played games

GP MPG PPG RPG APG SPG BPG TO FGA Numbers +/- PG +/- Tot +/- /40 FG% 3P% FT%
34 24.8 11.2 2.2 1.9 0.7 0.2 1.8 9.5 4.8 -1.1 -38 -1.8 44.4% 38.7% 87.9%

Plus/minus sample — 2014-2015: 43 games, 1629.8 minutes, 3238.1 possessions. Other models may cover a different set of games.

Advanced Stats

Legacy model artifacts; separate from the counting cohort. Plus/minus scope: 43 games.

RAPM Rank Minutes Possessions Model PM Model PM/G Model PM/40
+1.27 9 1629 3298 +175 +4.1 +4.3

RAPM = Regularized Adjusted Plus-Minus (points per 100 possessions above average)

Model Outputs

No verified model outputs are published for this player in WNBA yet.

Shot Chart — 2014

187/432 FG (43.3%), 425 points from the field · ESPN shot locations · compared with the 2014 league average

made missed · 3 long heaves not drawn
58%35/60 41%18/44 48%36/75 45%17/38 41%30/73 38%6/16 29%2/7 39%19/49 8%1/13 41%23/56
FG% by zone: above below league average (zones with 5+ attempts)
Zone FGM FGA FG% League FG%+/- % of FGA
Restricted area 35 60 58.3 66.8 -8.5 13.9
Paint (non-RA) 18 44 40.9 41.4 -0.5 10.2
Mid-range left 36 75 48.0 37.5 +10.5 17.4
Mid-range center 17 38 44.7 39.7 +5.0 8.8
Mid-range right 30 73 41.1 36.2 +4.9 16.9
Left corner 3 6 16 37.5 37.4 +0.1 3.7
Right corner 3 2 7 28.6 39.4 -10.8 1.6
Above-break 3 left 19 49 38.8 32.7 +6.1 11.3
Above-break 3 center 1 13 7.7 31.1 -23.4 3.0
Above-break 3 right 23 56 41.1 33.2 +7.9 13.0
Backcourt 0 1 0.0 2.9 -2.9 0.2

Career Stats

STATSNBA · WNBA · regular-season appearances. Coverage reflects stored source games. Other career leagues are available through the league links above.

Season League Team GP MIN PTS REB AST STL BLK TO FGA Numbers FG% 3P% FT% TS% eFG%
2022 WNBA Chicago Sky 34 26.3 11.4 2.5 2.9 0.7 0.2 - 8.9 - 42.8% 35.5% 95.0% 56.9 51.0
2021 WNBA Chicago Sky 26 24.4 13.2 2.7 2.3 0.5 0.3 - 10.4 - 44.8% 45.4% 95.9% 58.8 54.8
2020 WNBA Chicago Sky 22 28.7 15.4 2.9 2.3 0.6 0.3 - 13.1 - 44.8% 34.6% 91.9% 55.5 52.8
2019 WNBA Chicago Sky 34 28.6 13.8 3.0 2.5 0.8 0.2 - 10.2 - 49.3% 44.2% 87.0% 63.2 60.8
2018 WNBA Chicago Sky 32 29.7 15.4 2.4 2.5 0.7 0.3 2.1 12.3 7.0 46.6% 42.0% 85.7% 58.6 55.9
2017 WNBA Chicago Sky 31 32.3 16.4 3.3 3.6 0.8 0.5 2.4 12.2 10.1 50.5% 43.0% 89.3% 63.2 60.7
2016 WNBA Chicago Sky 34 17.8 9.5 0.9 1.6 0.5 0.1 1.1 8.1 3.5 47.1% 36.6% 89.5% 55.4 52.6
2015 WNBA Chicago Sky 32 22.5 11.1 1.8 1.7 0.4 0.5 1.4 10.2 3.8 43.1% 34.0% 82.6% 51.3 48.6
2014 WNBA Chicago Sky 34 24.8 11.2 2.2 1.9 0.7 0.2 1.8 9.5 4.8 44.4% 38.7% 87.9% 54.4 50.8
2013 WNBA Chicago Sky 34 9.4 3.8 0.7 0.6 0.4 0.1 0.6 4.5 0.6 31.6% 31.5% 88.9% 40.3 37.2
2011 WNBA Seattle Storm 7 2.0 0.6 0.6 0.1 0.1 0.1 0.1 0.7 0.7 20.0% 0.0% 100.0% 34.0 20.0
2010 WNBA Las Vegas Aces 4 6.2 3.5 0.2 0.0 0.0 0.0 0.0 2.0 1.8 50.0% 50.0% 66.7% 65.8 62.5
2010 WNBA Indiana Fever 3 6.0 2.0 0.3 0.3 0.7 0.3 1.0 1.3 1.3 50.0% - 100.0% 61.5 50.0
2009 WNBA Phoenix Mercury 6 5.4 1.7 0.8 0.2 0.0 0.0 0.8 1.3 0.5 37.5% 50.0% 100.0% 56.3 50.0
2008 WNBA Phoenix Mercury 14 7.1 2.1 0.8 0.3 0.4 0.1 0.4 2.8 0.4 33.3% 18.2% 50.0% 36.4 35.9

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, TS% = True Shooting, eFG% = Effective FG

Game Log

STATSNBA · WNBA · regular-season appearances. Coverage reflects stored source games.

Date Vs/At Opponent Result Score MIN FG 3PT FT REB AST STL BLK TO PTS Numbers RAPM GS
2014-08-17vsSANL72-84307-121-11-1322011610.0-
2014-08-16@INDL67-71256-123-32-211002175.0-
2014-08-13@WASW72-69285-121-20-046102118.0-
2014-08-10vsATLW80-69315-62-25-7450041716.0-
2014-08-07@MINL64-74289-142-40-023004207.0-
2014-08-05@CONW82-66247-101-22-2203021710.0-
2014-08-03vsWASW76-65242-80-10-04000040.0-
2014-07-31vsNYLW87-74287-102-20-011001167.0-
2014-07-29@SANL74-92220-90-20-0321000-3.0-
2014-07-27@TULL69-79255-142-62-203201144.0-
2014-07-25@ATLW79-75313-90-37-816105137.0-
2014-07-22vsINDW60-57242-91-64-44200195.0-
2014-07-17@INDL64-82325-113-44-421004175.0-
2014-07-13@ATLL79-813312-221-32-4514142712.0-
2014-07-11vsPHOL66-72243-50-02-22100383.0-
2014-07-09vsWASL65-72161-30-10-0100012-1.0-
2014-07-05@SEAL73-80231-70-30-0410012-1.0-
2014-07-02@PHOL69-87296-112-52-210203165.0-
2014-07-01@LASW90-83245-111-50-044101118.0-
2014-06-27@NYLW73-69183-71-24-400001113.0-
2014-06-25@CONL69-79182-51-30-00200052.0-
2014-06-22vsTULL99-105324-73-51-1341321214.0-
2014-06-20vsINDL75-83152-50-10-0101024-1.0-
2014-06-18vsNYLW105-100181-70-30-0320012-1.0-
2014-06-13@WASL68-79307-102-52-4121011811.0-
2014-06-10vsSEAL76-80294-140-30-0221018-2.0-
2014-06-07@ATLL59-97204-91-32-221103113.0-
2014-06-06vsLASL88-102272-90-42-2320036-1.0-
2014-05-30vsCONW101-82205-102-43-312000158.0-
2014-05-26vsMINL72-75155-133-52-220012153.0-
2014-05-24vsATLW87-73195-113-50-031001135.0-
2014-05-21vsCONW78-68244-91-30-02400393.0-
2014-05-17@NYLW79-65264-82-32-222021129.0-
2014-05-16vsINDW74-71131-50-20-01210120.0-