🐻⬇️🏀

Kaleena Mosqueda-Lewis

Kaleena Mosqueda-Lewis

Team: Seattle Storm

Season Averages — 2018

Observed regular-season final played games

GP MPG PPG RPG APG SPG BPG TO FGA Numbers +/- PG +/- Tot +/- /40 FG% 3P% FT%
33 13.4 5.1 1.5 0.8 0.1 0.0 0.7 4.5 2.2 -0.2 -5 -0.5 41.2% 42.0% 91.7%

Plus/minus sample — 2018-2019: 39 games, 756.5 minutes, 1500.8 possessions. Other models may cover a different set of games.

Advanced Stats

Legacy model artifacts; separate from the counting cohort. Plus/minus scope: 39 games.

RAPM Rank Minutes Possessions Model PM Model PM/G Model PM/40
+1.85 8 756 1523 +35 +0.9 +1.9

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%
2020 WNBA Connecticut Sun 6 12.0 3.8 1.8 0.2 0.2 0.2 - 4.8 - 31.0% 23.8% 0.0% 39.1 39.7
2019 WNBA Seattle Storm 31 14.0 5.5 1.2 0.5 0.3 0.2 - 5.3 - 39.9% 34.1% 100.0% 50.8 48.5
2018 WNBA Seattle Storm 33 13.4 5.1 1.5 0.8 0.1 0.0 0.7 4.5 2.2 41.2% 42.0% 91.7% 54.5 52.7
2017 WNBA Seattle Storm 17 10.9 4.6 1.2 0.4 0.2 0.0 0.8 3.8 1.8 46.2% 30.3% 100.0% 57.3 53.8
2016 WNBA Seattle Storm 32 12.4 5.2 0.8 0.8 0.2 0.1 0.8 4.7 1.5 39.1% 35.4% 77.8% 52.5 50.7
2015 WNBA Seattle Storm 27 12.3 5.8 0.9 0.6 0.2 0.1 0.8 5.9 0.9 39.0% 28.1% 87.5% 47.0 44.7

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
2018-08-19vsDALW84-68242-52-40-02100361.0-
2018-08-17vsNYLW85-7791-41-30-0001013-1.0-
2018-08-12@MINW81-72112-71-30-02200052.0-
2018-08-09@WASL77-100150-00-02-23100125.0-
2018-08-07@INDW94-79163-71-41-10000081.0-
2018-08-06@NYLW96-80110-40-10-0000000-4.0-
2018-08-03vsMINW85-7572-21-10-01100154.0-
2018-07-31@PHOW102-91110-10-10-0010010-1.0-
2018-07-24@INDW92-72141-61-40-0100003-2.0-
2018-07-22@ATLL74-8760-20-10-0100000-1.0-
2018-07-20@CONW78-65121-50-40-0000012-4.0-
2018-07-18@CHIW101-83121-20-12-20000141.0-
2018-07-10vsLASL75-7710-10-10-00100000.0-
2018-07-08vsWASW97-91104-52-30-021001107.0-
2018-07-06@ATLW95-86133-72-30-00200083.0-
2018-07-03@NYLW77-62143-72-30-03000084.0-
2018-07-01vsCONW84-70154-72-30-031000107.0-
2018-06-28vsLASW81-72131-40-10-02100021.0-
2018-06-26@MINL79-91195-112-40-011001122.0-
2018-06-24@DALW97-76213-42-30-02120287.0-
2018-06-22vsINDW72-63262-81-60-03200151.0-
2018-06-19vsLVAL77-89302-51-31-24000164.0-
2018-06-15vsCONW103-92186-103-43-320102189.0-
2018-06-12vsCHIW96-85162-61-40-02400253.0-
2018-06-10vsATLL64-6741-11-10-00100033.0-
2018-06-07@LASW88-6390-30-20-0400020-1.0-
2018-06-02@DALL90-9460-20-10-01200001.0-
2018-05-31vsLVAW101-74195-93-40-041001138.0-
2018-05-29vsWASW81-77131-21-10-02200035.0-
2018-05-27@LVAW105-98124-53-32-201001138.0-
2018-05-25vsCHIW95-9140-10-10-0000000-1.0-
2018-05-23@PHOW87-7161-11-10-01000132.0-
2018-05-20vsPHOL82-8771-40-20-02000020.0-