Break percentage — full ATP & WTA ranking

Leader

Sara Bejlek

46.2% of return games broken

Average: 35.7%
Std. dev.: 3.8
Leader sits at: 2.8σ
Range: 28.5 … 46.2

123 players

#	Player	Value	Pctl	Sample
1	Sara Bejlek#38	46.2%	100.0	86
2	Katie Volynets#91	44.5%	99.2	127
3	ER Elena Ruse	44.1%	98.4	66
4	Coco Gauff#4	43.3%	97.5	93
5	Iga Swiatek#8	42.9%	96.7	99
6	Daria Kasatkina#61	42.6%	95.9	62
7	Sara Sorribes Tormo	42.1%	95.1	52
8	XW Xiyu Wang	41.4%	94.3	69
9	Eva Lys#85	41.2%	93.4	89
10	Viktorija Golubic#51	41.0%	92.6	101
11	Elina Avanesyan	40.7%	91.8	55
12	Harriet Dart#144	40.4%	91.0	94
13	Aliaksandra Sasnovich#141	40.1%	90.2	119
14	Zeynep Sonmez#52	40.1%	89.3	115
15	Emiliana Arango#97	40.1%	88.5	111
16	Camila Osorio#60	40.1%	87.7	83
17	Katerina Siniakova#37	39.8%	86.9	84
18	Anhelina Kalinina#54	39.7%	86.1	68
19	JN Jule Niemeier	39.7%	85.2	72
20	Alexandra Eala#20	39.7%	84.4	120
21	MS Marina Stakusic#145	39.6%	83.6	82
22	Caty McNally	39.5%	82.8	85
23	SE Sara Errani	39.3%	82.0	37
24	Mirra Andreeva#5	39.3%	81.1	93
25	Maya Joint#75	39.3%	80.3	112
26	Marie Bouzkova#25	39.0%	79.5	72
27	Marta Kostyuk#11	38.9%	78.7	64
28	Iva Jovic#16	38.8%	77.9	87
29	Renata Zarazua#73	38.8%	77.0	125
30	SV Sachia Vickery	38.7%	76.2	36
31	Jessica Bouzas Maneiro#63	38.7%	75.4	93
32	Lin Zhu	38.4%	74.6	55
33	Elina Svitolina#9	38.4%	73.8	82
34	Yuliia Starodubtseva#65	38.3%	73.0	123
35	Anna Blinkova#108	38.3%	72.1	89
36	ZB Zhuoxuan Bai	38.2%	71.3	32
37	Cristina Bucsa#40	37.7%	70.5	98
38	Jelena Ostapenko#29	37.6%	69.7	63
39	Aryna Sabalenka#1	37.6%	68.9	104
40	Emma Navarro#28	37.6%	68.0	81
41	Claire Liu#116	37.5%	67.2	76
42	Amanda Anisimova#10	37.5%	66.4	86
43	DS Daria Saville	37.4%	65.6	47
44	Suzan Lamens#148	37.4%	64.8	109
45	LF Linda Fruhvirtova	37.4%	63.9	106
46	MT Martina Trevisan	37.3%	63.1	51
47	Jasmine Paolini#15	37.3%	62.3	80
48	VT Viktoriya Tomova	37.1%	61.5	76
49	Jessica Pegula#3	37.0%	60.7	105
50	Anastasia Zakharova#99	36.9%	59.8	119

How this is calculated

Minimum 30 matches with serve statistics. Below that the figure is noise and publishing it would be faking precision. Each family of metrics carries its own counter — 200 matches is not 200 tiebreaks.
Window. Every match since 2024 — that is where serve statistics begin in this database; before that there are none.
One division at a time. A player belongs to the Challenger/ITF division when more than half of their matches since 2024 are played there. Mixing the two ranks schedules rather than players: the raw list of closers was headed by an ITF player at 100% over twenty matches.
Not a betting signal. It describes a player, not a price. Our own prediction engine is measured against the market and loses: 0.632 log loss against 0.593.

Leader

Sara Bejlek

46.2% of return games broken

Average: 35.7%
Std. dev.: 3.8
Leader sits at: 2.8σ
Range: 28.5 … 46.2

123 players

#	Player	Value	Pctl	Sample
1	Sara Bejlek#38	46.2%	100.0	86
2	Katie Volynets#91	44.5%	99.2	127
3	ER Elena Ruse	44.1%	98.4	66
4	Coco Gauff#4	43.3%	97.5	93
5	Iga Swiatek#8	42.9%	96.7	99
6	Daria Kasatkina#61	42.6%	95.9	62
7	Sara Sorribes Tormo	42.1%	95.1	52
8	XW Xiyu Wang	41.4%	94.3	69
9	Eva Lys#85	41.2%	93.4	89
10	Viktorija Golubic#51	41.0%	92.6	101
11	Elina Avanesyan	40.7%	91.8	55
12	Harriet Dart#144	40.4%	91.0	94
13	Aliaksandra Sasnovich#141	40.1%	90.2	119
14	Zeynep Sonmez#52	40.1%	89.3	115
15	Emiliana Arango#97	40.1%	88.5	111
16	Camila Osorio#60	40.1%	87.7	83
17	Katerina Siniakova#37	39.8%	86.9	84
18	Anhelina Kalinina#54	39.7%	86.1	68
19	JN Jule Niemeier	39.7%	85.2	72
20	Alexandra Eala#20	39.7%	84.4	120
21	MS Marina Stakusic#145	39.6%	83.6	82
22	Caty McNally	39.5%	82.8	85
23	SE Sara Errani	39.3%	82.0	37
24	Mirra Andreeva#5	39.3%	81.1	93
25	Maya Joint#75	39.3%	80.3	112
26	Marie Bouzkova#25	39.0%	79.5	72
27	Marta Kostyuk#11	38.9%	78.7	64
28	Iva Jovic#16	38.8%	77.9	87
29	Renata Zarazua#73	38.8%	77.0	125
30	SV Sachia Vickery	38.7%	76.2	36
31	Jessica Bouzas Maneiro#63	38.7%	75.4	93
32	Lin Zhu	38.4%	74.6	55
33	Elina Svitolina#9	38.4%	73.8	82
34	Yuliia Starodubtseva#65	38.3%	73.0	123
35	Anna Blinkova#108	38.3%	72.1	89
36	ZB Zhuoxuan Bai	38.2%	71.3	32
37	Cristina Bucsa#40	37.7%	70.5	98
38	Jelena Ostapenko#29	37.6%	69.7	63
39	Aryna Sabalenka#1	37.6%	68.9	104
40	Emma Navarro#28	37.6%	68.0	81
41	Claire Liu#116	37.5%	67.2	76
42	Amanda Anisimova#10	37.5%	66.4	86
43	DS Daria Saville	37.4%	65.6	47
44	Suzan Lamens#148	37.4%	64.8	109
45	LF Linda Fruhvirtova	37.4%	63.9	106
46	MT Martina Trevisan	37.3%	63.1	51
47	Jasmine Paolini#15	37.3%	62.3	80
48	VT Viktoriya Tomova	37.1%	61.5	76
49	Jessica Pegula#3	37.0%	60.7	105
50	Anastasia Zakharova#99	36.9%	59.8	119

How this is calculated

Minimum 30 matches with serve statistics. Below that the figure is noise and publishing it would be faking precision. Each family of metrics carries its own counter — 200 matches is not 200 tiebreaks.
Window. Every match since 2024 — that is where serve statistics begin in this database; before that there are none.
One division at a time. A player belongs to the Challenger/ITF division when more than half of their matches since 2024 are played there. Mixing the two ranks schedules rather than players: the raw list of closers was headed by an ITF player at 100% over twenty matches.
Not a betting signal. It describes a player, not a price. Our own prediction engine is measured against the market and loses: 0.632 log loss against 0.593.