Stats Ranking-Return Stats

* The tennis technical data rankings include technical dimension data such as serving and receiving of players in the two major ATP and WTA tournaments, which can be sorted, compared and viewed according to different dimensions.

Player	Return Points Won	1st Return Points Won %	2nd Return Points Won %	Break Points Opportunities	Break Points Converted	Return Games Won	Return Games Played	Total Points Won
Han Shi	42.0%	33.3%	57.6%	45	35.6%	31.4%	51	48.5%
Hong Yi Cody Wong	36.7%	34.1%	42.1%	7	28.6%	22.2%	9	43.2%
Qiang Wang	39.0%	25.0%	58.3%	16	50.0%	21.6%	37	43.2%
Zarina Diyas	40.5%	35.7%	48.8%	13	38.5%	29.4%	17	41.9%
Eudice Chong	27.3%	17.1%	45.0%	1	100.0%	10.0%	10	41.7%
Shelby Rogers	40.0%	32.0%	51.6%	68	41.2%	26.4%	106	47.9%
Katarina Zavatska	45.3%	39.2%	55.6%	29	48.3%	40.0%	35	45.7%
Victoria Rodriguez	35.3%	35.0%	36.4%	3	66.7%	22.2%	9	41.7%
Xiaodi You	39.7%	32.7%	51.5%	18	38.9%	25.9%	27	41.3%
Natalija Stevanovic	40.0%	30.8%	51.6%	12	58.3%	21.9%	32	45.2%
Meiling Wang	29.8%	22.2%	40.0%	5	40.0%	22.2%	9	39.0%
Marie Benoit	32.1%	19.4%	55.0%	7	0.0%	0.0%	8	40.6%
Dayeon Back	42.6%	27.3%	70.8%	9	22.2%	25.0%	8	42.2%
Liv Hovde	47.7%	48.1%	47.1%	5	60.0%	37.5%	8	41.7%
Marina Melnikova	45.2%	36.0%	55.8%	16	37.5%	40.0%	15	46.7%
Irene Burillo	25.0%	17.6%	33.3%	1	100.0%	14.3%	7	33.0%
Monique Barry	43.5%	29.8%	72.7%	6	66.7%	40.0%	10	43.4%
Alice Robbe	35.4%	38.5%	31.8%	3	66.7%	25.0%	8	36.8%
Fangzhou Liu	37.7%	29.4%	52.6%	5	20.0%	14.3%	7	40.3%
Thasaporn Naklo	39.4%	27.2%	58.8%	13	38.5%	25.0%	20	42.1%