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Kelsey Bone

Kelsey Bone

Team: Phoenix Mercury

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%
34 15.5 6.1 3.7 0.9 0.4 0.1 1.5 6.1 3.5 -6.0 -204 -15.5 41.8% 23.5% 68.2%

Plus/minus sample — 2016-2017: 36 games, 903.8 minutes, 1793.8 possessions. Other models may cover a different set of games.

Advanced Stats

Legacy model artifacts; separate from the counting cohort. Plus/minus scope: 36 games.

RAPM Rank Minutes Possessions Model PM Model PM/G Model PM/40
+2.51 1 903 1819 +193 +5.4 +8.5

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%
2018 WNBA Las Vegas Aces 32 10.8 2.8 2.2 1.2 0.1 0.1 0.9 2.5 2.9 50.0% - 50.0% 50.6 50.0
2016 WNBA Phoenix Mercury 20 9.7 2.9 2.5 0.6 0.1 0.1 1.2 3.4 1.5 38.8% 0.0% 75.0% 41.1 38.8
2016 WNBA Connecticut Sun 14 23.8 10.7 5.4 1.3 0.7 0.2 1.9 10.1 6.4 43.3% 26.7% 66.7% 47.8 44.7
2015 WNBA Connecticut Sun 33 29.1 15.4 6.3 2.0 0.8 0.6 2.3 13.4 9.4 50.8% 0.0% 62.2% 52.6 50.8
2014 WNBA Connecticut Sun 34 23.3 9.3 5.3 1.4 0.6 0.5 2.0 8.9 6.2 45.1% 0.0% 66.2% 47.7 45.1
2013 WNBA New York Liberty 34 19.5 6.9 5.4 0.7 0.4 0.4 1.5 6.3 5.9 46.0% 0.0% 63.2% 48.7 46.0

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@SANW81-6590-10-02-23100124.0-
2016-09-15vsSEAW86-6243-30-00-01000163.0-
2016-09-13@LASL85-9040-00-00-0000010-1.0-
2016-09-11vsATLW86-75100-40-00-0300010-2.0-
2016-09-06@ATLL87-9120-00-00-01010002.0-
2016-09-03@NYLL70-9270-60-00-0200010-5.0-
2016-09-02@CONL74-8771-20-00-02000121.0-
2016-08-30@INDW79-6540-10-02-21000121.0-
2016-08-28vsLASW70-66191-30-00-07100225.0-
2016-08-26vsDALW98-72120-40-00-0320020-1.0-
2016-07-19vsCHIL76-79142-40-00-05200245.0-
2016-07-16vsSANW83-64141-50-10-04100220.0-
2016-07-13vsWASW78-7471-20-00-14010223.0-
2016-07-10@CHIL95-10081-30-00-01000020.0-
2016-07-08vsINDL60-78206-90-01-152104138.0-
2016-07-05@DALL74-77114-70-00-00100082.0-
2016-07-03@ATLW95-8751-30-10-0000002-1.0-
2016-07-01vsNYLL88-99111-30-00-04100222.0-
2016-06-29vsCONW86-75101-30-01-22001033.0-
2016-06-26@NYLW104-9773-40-00-01000261.0-
2016-06-24@SEAL81-98115-60-00-021000107.0-
2016-06-19vsSANW93-90193-90-00-05100063.0-
2016-06-16vsNYLL72-80305-111-23-4741021413.0-
2016-06-14vsWASL106-109429-170-24-61102042214.0-
2016-06-12@ATLL87-93285-81-12-4341231312.0-
2016-06-10vsSEAW77-76174-80-02-440000106.0-
2016-06-05vsINDL77-88224-110-15-731003133.0-
2016-06-03vsATLL77-83143-50-00-07100366.0-
2016-05-31@PHOL90-99193-81-20-08200178.0-
2016-05-28@SEAL81-93256-191-21-23000114-3.0-
2016-05-26vsLASL72-77182-70-12-42111163.0-
2016-05-21vsWASL76-84334-110-24-41022021213.0-
2016-05-19@SANW72-68306-110-00-01011031210.0-
2016-05-14@CHIL70-93172-100-21-1102035-5.0-