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
Martyna Kubka	34.9%	28.6%	43.2%	9	33.3%	21.4%	14	45.0%
Despina Papamichail	48.2%	46.6%	51.7%	166	45.2%	44.6%	168	50.1%
Celine Naef	39.5%	34.9%	47.7%	81	53.1%	31.6%	136	47.3%
Matilde Jorge	47.5%	43.6%	55.8%	43	39.5%	40.5%	42	48.0%
Anastasia Tikhonova	37.5%	33.3%	44.2%	30	53.3%	26.7%	60	48.8%
Iryna Shymanovich	41.2%	30.9%	58.8%	20	50.0%	30.3%	33	46.4%
Dalila Jakupovic	38.6%	31.4%	52.5%	33	27.3%	19.1%	47	42.4%
Emily Appleton	39.6%	37.6%	43.2%	40	37.5%	25.9%	58	48.3%
Francisca Jorge	38.5%	39.7%	36.4%	16	31.2%	26.3%	19	43.0%
Valeriya Strakhova	41.0%	35.4%	48.6%	7	71.4%	35.7%	14	41.6%
Monique Barry	34.0%	25.0%	47.6%	3	33.3%	12.5%	8	36.2%
Lin Zhu	37.4%	28.6%	55.3%	11	45.5%	26.3%	19	41.1%
Hanyu Guo	34.0%	33.3%	37.5%	4	25.0%	12.5%	8	40.7%
Jessica Pegula	42.4%	36.4%	52.5%	42	35.7%	31.9%	47	50.0%
Andreea Mitu	24.3%	17.4%	35.7%	1	100.0%	12.5%	8	40.9%
Malak El Allami	33.3%	27.3%	45.5%	1	100.0%	16.7%	6	30.8%
Julia Avdeeva	21.1%	4.2%	50.0%	0	0.0%	0.0%	7	30.3%
Anna Danilina	29.3%	11.5%	60.0%	0	0.0%	0.0%	7	31.5%
Natalia Szabanin	35.2%	34.3%	36.8%	6	16.7%	12.5%	8	41.7%
Alexa Noel	31.8%	34.5%	26.7%	3	33.3%	12.5%	8	38.8%