Break percentage — full ATP & WTA ranking

Leader

Lucciana Perez Alarcon

52.0% of return games broken

Average: 38.7%
Std. dev.: 4.3
Leader sits at: 3.1σ
Range: 26.3 … 52.0

678 players

#	Player	Value	Pctl	Sample
1	LA Lucciana Perez Alarcon	52.0%	100.0	32
2	Alexandra Shubladze	50.1%	99.9	70
3	MG Maria Aran Teixido Garcia	49.8%	99.7	64
4	ET Eliska Tichackova	48.9%	99.6	35
5	JS Joelle Lilly Sophie Steur	48.7%	99.4	66
6	LE Lidia Encheva	48.5%	99.3	67
7	AO Alisa Oktiabreva	48.5%	99.1	50
8	AG Anastasia Gasanova	48.4%	99.0	76
9	LT Lavinia Tanasie	48.4%	98.8	37
10	DG Denislava Glushkova	48.3%	98.7	63
11	HS Hibah Shaikh	48.2%	98.5	69
12	ZK Zoziya Kardava	48.2%	98.4	52
13	AT Amarissa Kiara Toth	48.0%	98.2	67
14	DE Daria Egorova	48.0%	98.1	49
15	AO Ane Mintegi Del Olmo	47.7%	97.9	48
16	Lisa Pigato#133	47.6%	97.8	92
17	VB Victoria Bosio	47.5%	97.6	72
18	Darya Astakhova	47.5%	97.5	62
19	Julie Struplova	47.4%	97.3	60
20	Luisina Giovannini	47.3%	97.2	75
21	EB Eva Bennemann	47.2%	97.0	48
22	ZD Zeel Desai	47.1%	96.9	64
23	NS Neus Torner Sensano	47.1%	96.8	31
24	LM Lan Mi	47.1%	96.6	63
25	EV Eva Marie Voracek	46.7%	96.5	74
26	AR Antonia Vergara Rivera	46.6%	96.3	76
27	AZ Anastasia Zolotareva	46.6%	96.2	67
28	NS Natalija Senic	46.6%	96.0	56
29	Oleksandra Oliynykova#44	46.5%	95.9	97
30	KH Katharina Hobgarski	46.4%	95.7	52
31	LC Lourdes Carle	46.3%	95.6	114
32	AM Alessandra Mazzola	46.2%	95.4	51
33	AC Anchisa Chanta	46.1%	95.3	66
34	Jennifer Ruggeri	46.0%	95.1	80
35	VY Valeriya Yushchenko	46.0%	95.0	39
36	LM Luciana Moyano	45.9%	94.8	53
37	SL Sofya Lansere	45.9%	94.7	74
38	MG Mara Guth	45.9%	94.5	56
39	SS Sandra Samir	45.9%	94.4	98
40	KZ Ksenia Zaytseva	45.9%	94.2	35
41	Yelyzaveta Kotliar	45.8%	94.1	66
42	JD Justina Maria Gonzalez Daniele	45.7%	93.9	64
43	AS Ana Sofia Sanchez	45.6%	93.8	85
44	BJ Boyoung Jeong	45.6%	93.6	63
45	LA Lamis Alhussein Abdel Aziz	45.4%	93.5	105
46	Jazmin Ortenzi	45.4%	93.4	80
47	RD Rositsa Dencheva	45.4%	93.2	50
48	AT Alice Tubello	45.3%	93.1	54
49	Vendula Valdmannova	45.3%	92.9	60
50	II Iva Ivanova	45.3%	92.8	65

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

Lucciana Perez Alarcon

52.0% of return games broken

Average: 38.7%
Std. dev.: 4.3
Leader sits at: 3.1σ
Range: 26.3 … 52.0

678 players

#	Player	Value	Pctl	Sample
1	LA Lucciana Perez Alarcon	52.0%	100.0	32
2	Alexandra Shubladze	50.1%	99.9	70
3	MG Maria Aran Teixido Garcia	49.8%	99.7	64
4	ET Eliska Tichackova	48.9%	99.6	35
5	JS Joelle Lilly Sophie Steur	48.7%	99.4	66
6	LE Lidia Encheva	48.5%	99.3	67
7	AO Alisa Oktiabreva	48.5%	99.1	50
8	AG Anastasia Gasanova	48.4%	99.0	76
9	LT Lavinia Tanasie	48.4%	98.8	37
10	DG Denislava Glushkova	48.3%	98.7	63
11	HS Hibah Shaikh	48.2%	98.5	69
12	ZK Zoziya Kardava	48.2%	98.4	52
13	AT Amarissa Kiara Toth	48.0%	98.2	67
14	DE Daria Egorova	48.0%	98.1	49
15	AO Ane Mintegi Del Olmo	47.7%	97.9	48
16	Lisa Pigato#133	47.6%	97.8	92
17	VB Victoria Bosio	47.5%	97.6	72
18	Darya Astakhova	47.5%	97.5	62
19	Julie Struplova	47.4%	97.3	60
20	Luisina Giovannini	47.3%	97.2	75
21	EB Eva Bennemann	47.2%	97.0	48
22	ZD Zeel Desai	47.1%	96.9	64
23	NS Neus Torner Sensano	47.1%	96.8	31
24	LM Lan Mi	47.1%	96.6	63
25	EV Eva Marie Voracek	46.7%	96.5	74
26	AR Antonia Vergara Rivera	46.6%	96.3	76
27	AZ Anastasia Zolotareva	46.6%	96.2	67
28	NS Natalija Senic	46.6%	96.0	56
29	Oleksandra Oliynykova#44	46.5%	95.9	97
30	KH Katharina Hobgarski	46.4%	95.7	52
31	LC Lourdes Carle	46.3%	95.6	114
32	AM Alessandra Mazzola	46.2%	95.4	51
33	AC Anchisa Chanta	46.1%	95.3	66
34	Jennifer Ruggeri	46.0%	95.1	80
35	VY Valeriya Yushchenko	46.0%	95.0	39
36	LM Luciana Moyano	45.9%	94.8	53
37	SL Sofya Lansere	45.9%	94.7	74
38	MG Mara Guth	45.9%	94.5	56
39	SS Sandra Samir	45.9%	94.4	98
40	KZ Ksenia Zaytseva	45.9%	94.2	35
41	Yelyzaveta Kotliar	45.8%	94.1	66
42	JD Justina Maria Gonzalez Daniele	45.7%	93.9	64
43	AS Ana Sofia Sanchez	45.6%	93.8	85
44	BJ Boyoung Jeong	45.6%	93.6	63
45	LA Lamis Alhussein Abdel Aziz	45.4%	93.5	105
46	Jazmin Ortenzi	45.4%	93.4	80
47	RD Rositsa Dencheva	45.4%	93.2	50
48	AT Alice Tubello	45.3%	93.1	54
49	Vendula Valdmannova	45.3%	92.9	60
50	II Iva Ivanova	45.3%	92.8	65

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.