Break points converted — full ATP & WTA ranking

Leader

Zhuoxuan Bai

56.2% of break points converted

123 players

#	Player	Value	Pctl	Sample
1	ZB Zhuoxuan Bai	56.2%	100.0	32
2	XW Xiyu Wang	53.1%	99.2	69
3	Caty McNally	52.6%	98.4	85
4	Sara Bejlek#38	52.5%	97.5	86
5	ER Elena Ruse	52.1%	96.7	66
6	Coco Gauff#4	51.4%	95.9	93
7	Iga Swiatek#8	51.1%	95.1	99
8	Sara Sorribes Tormo	51.0%	94.3	52
9	SE Sara Errani	50.9%	93.4	37
10	Marie Bouzkova#25	50.8%	92.6	72
11	Katie Volynets#91	50.8%	91.8	127
12	GM Greet Minnen	50.7%	91.0	91
13	Emma Raducanu#49	50.5%	90.2	61
14	Anhelina Kalinina#54	50.3%	89.3	68
15	Camila Osorio#60	50.2%	88.5	83
16	Anna Kalinskaya#21	50.2%	87.7	71
17	Mirra Andreeva#5	50.1%	86.9	93
18	Jelena Ostapenko#29	49.9%	86.1	63
19	Maya Joint#75	49.7%	85.2	112
20	Zeynep Sonmez#52	49.6%	84.4	115
21	Storm Hunter	49.6%	83.6	42
22	Sonay Kartal#124	49.3%	82.8	66
23	Iva Jovic#16	49.2%	82.0	87
24	Eva Lys#85	49.2%	81.1	89
25	Shuai Zhang	49.0%	80.3	82
26	Danielle Collins	49.0%	79.5	33
27	Qinwen Zheng	49.0%	78.7	43
28	Viktorija Golubic#51	48.8%	77.9	101
29	MS Marina Stakusic#145	48.7%	77.0	82
30	Harriet Dart#144	48.6%	76.2	94
31	Elina Svitolina#9	48.6%	75.4	82
32	JN Jule Niemeier	48.5%	74.6	72
33	Yuliia Starodubtseva#65	48.4%	73.8	123
34	Renata Zarazua#73	48.4%	73.0	125
35	Anna Blinkova#108	48.2%	72.1	89
36	Elisabetta Cocciaretto#59	48.1%	71.3	93
37	Ajla Tomljanovic#95	48.0%	70.5	73
38	Katie Boulter#72	48.0%	69.7	63
39	MT Martina Trevisan	47.9%	68.9	51
40	Naomi Osaka#13	47.9%	68.0	62
41	Daria Kasatkina#61	47.8%	67.2	62
42	Nao Hibino	47.7%	66.4	106
43	Suzan Lamens#148	47.6%	65.6	109
44	Elina Avanesyan	47.6%	64.8	55
45	Dayana Yastremska#87	47.5%	63.9	80
46	Lin Zhu	47.5%	63.1	55
47	Belinda Bencic#14	47.5%	62.3	75
48	SV Sachia Vickery	47.4%	61.5	36
49	Jasmine Paolini#15	47.3%	60.7	80
50	Diana Shnaider#17	47.2%	59.8	91

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

56.2% of break points converted

123 players

#	Player	Value	Pctl	Sample
1	ZB Zhuoxuan Bai	56.2%	100.0	32
2	XW Xiyu Wang	53.1%	99.2	69
3	Caty McNally	52.6%	98.4	85
4	Sara Bejlek#38	52.5%	97.5	86
5	ER Elena Ruse	52.1%	96.7	66
6	Coco Gauff#4	51.4%	95.9	93
7	Iga Swiatek#8	51.1%	95.1	99
8	Sara Sorribes Tormo	51.0%	94.3	52
9	SE Sara Errani	50.9%	93.4	37
10	Marie Bouzkova#25	50.8%	92.6	72
11	Katie Volynets#91	50.8%	91.8	127
12	GM Greet Minnen	50.7%	91.0	91
13	Emma Raducanu#49	50.5%	90.2	61
14	Anhelina Kalinina#54	50.3%	89.3	68
15	Camila Osorio#60	50.2%	88.5	83
16	Anna Kalinskaya#21	50.2%	87.7	71
17	Mirra Andreeva#5	50.1%	86.9	93
18	Jelena Ostapenko#29	49.9%	86.1	63
19	Maya Joint#75	49.7%	85.2	112
20	Zeynep Sonmez#52	49.6%	84.4	115
21	Storm Hunter	49.6%	83.6	42
22	Sonay Kartal#124	49.3%	82.8	66
23	Iva Jovic#16	49.2%	82.0	87
24	Eva Lys#85	49.2%	81.1	89
25	Shuai Zhang	49.0%	80.3	82
26	Danielle Collins	49.0%	79.5	33
27	Qinwen Zheng	49.0%	78.7	43
28	Viktorija Golubic#51	48.8%	77.9	101
29	MS Marina Stakusic#145	48.7%	77.0	82
30	Harriet Dart#144	48.6%	76.2	94
31	Elina Svitolina#9	48.6%	75.4	82
32	JN Jule Niemeier	48.5%	74.6	72
33	Yuliia Starodubtseva#65	48.4%	73.8	123
34	Renata Zarazua#73	48.4%	73.0	125
35	Anna Blinkova#108	48.2%	72.1	89
36	Elisabetta Cocciaretto#59	48.1%	71.3	93
37	Ajla Tomljanovic#95	48.0%	70.5	73
38	Katie Boulter#72	48.0%	69.7	63
39	MT Martina Trevisan	47.9%	68.9	51
40	Naomi Osaka#13	47.9%	68.0	62
41	Daria Kasatkina#61	47.8%	67.2	62
42	Nao Hibino	47.7%	66.4	106
43	Suzan Lamens#148	47.6%	65.6	109
44	Elina Avanesyan	47.6%	64.8	55
45	Dayana Yastremska#87	47.5%	63.9	80
46	Lin Zhu	47.5%	63.1	55
47	Belinda Bencic#14	47.5%	62.3	75
48	SV Sachia Vickery	47.4%	61.5	36
49	Jasmine Paolini#15	47.3%	60.7	80
50	Diana Shnaider#17	47.2%	59.8	91

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.