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Jordan Hooper

Jordan Hooper

Team: Dallas Wings

Season Averages — 2016

Observed regular-season final played games

GP MPG PPG RPG APG SPG BPG TO FGA Numbers +/- PG +/- Tot +/- /40 FG% 3P% FT%
32 9.1 3.7 1.2 0.2 0.2 0.1 0.5 3.5 1.3 -1.8 -59 -8.1 37.5% 34.1% 87.5%

Plus/minus sample — 2016-2017: 32 games, 498.5 minutes, 991.4 possessions. Other models may cover a different set of games.

Advanced Stats

Legacy model artifacts; separate from the counting cohort. Plus/minus scope: 32 games.

RAPM Rank Minutes Possessions Model PM Model PM/G Model PM/40
+0.63 45 498 1007 +86 +2.7 +6.9

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.

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%
2017 WNBA Chicago Sky 10 18.6 6.0 2.2 0.6 0.5 0.1 0.5 5.7 3.2 36.8% 37.0% 50.0% 51.8 51.8
2017 WNBA Atlanta Dream 15 6.8 3.1 0.9 0.2 0.3 0.0 0.3 2.7 1.5 39.0% 42.9% 75.0% 55.0 53.7
2017 WNBA Connecticut Sun 3 3.6 0.0 0.3 0.0 0.0 0.0 0.0 0.7 -0.3 0.0% 0.0% - 0.0 0.0
2016 WNBA Dallas Wings 32 9.1 3.7 1.2 0.2 0.2 0.1 0.5 3.5 1.3 37.5% 34.1% 87.5% 51.5 50.0
2015 WNBA Dallas Wings 33 17.2 4.7 2.1 0.3 0.4 0.1 0.5 4.5 2.7 36.1% 33.9% 68.4% 50.2 48.6
2014 WNBA Dallas Wings 34 19.1 5.8 2.4 0.6 0.4 0.2 0.8 5.6 2.8 35.4% 32.9% 71.4% 48.9 47.4

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
2016-09-18@INDL60-8390-20-22-22000022.0-
2016-09-16@CONL74-107192-81-62-23110173.0-
2016-09-11vsNYLW84-8120-10-10-0000000-1.0-
2016-09-09@SANW92-8462-22-20-01000065.0-
2016-09-04vsWASL83-8800-00-00-00000000.0-
2016-09-02vsLASL79-8720-20-20-0000000-2.0-
2016-08-31@SEAL66-7830-20-20-0010000-1.0-
2016-08-28vsCHIL85-9222-42-40-01000063.0-
2016-08-26@PHOL72-9820-00-00-00000000.0-
2016-07-22@ATLL88-9341-11-10-00000032.0-
2016-07-20vsCONL78-8940-00-00-00001001.0-
2016-07-17vsMINL97-9840-10-10-0000020-3.0-
2016-07-15@CHIL77-8420-00-00-01000100.0-
2016-07-09@MINL56-93183-92-70-0000018-2.0-
2016-07-08@ATLL90-9562-31-20-01000053.0-
2016-07-02vsCONL83-8640-10-10-0000010-2.0-
2016-06-30@SEAW83-7840-00-00-00000000.0-
2016-06-25vsINDL87-9260-00-00-00000000.0-
2016-06-23vsSANW97-9072-42-40-00000161.0-
2016-06-21vsPHOW100-9094-43-30-000000117.0-
2016-06-18@PHOW117-11121-10-00-00000021.0-
2016-06-16vsSEAW88-7960-30-20-0100010-3.0-
2016-06-14@NYLL88-9182-51-30-01000051.0-
2016-06-11vsLASL73-97111-41-30-0001013-1.0-
2016-06-08vsWASL79-87173-92-72-261010109.0-
2016-06-04@MINL63-80221-80-50-0502022-1.0-
2016-05-29vsCHIL87-92205-113-61-221001145.0-
2016-05-27vsATLL93-102235-94-70-010102145.0-
2016-05-21vsSANW82-77100-20-10-05000003.0-
2016-05-18@WASW87-77153-52-30-04110188.0-
2016-05-15@NYLL71-79160-30-30-0200000-1.0-
2016-05-14@INDW90-79163-81-40-0100017-1.0-