Break percentage — full ATP & WTA ranking

Leader

Viacheslav Bielinskyi

44.8% of return games broken

Average: 28.1%
Std. dev.: 4.4
Leader sits at: 3.8σ
Range: 17.1 … 44.8

963 players

#	Player	Value	Pctl	Sample
1	VB Viacheslav Bielinskyi	44.8%	100.0	79
2	DM Dragos Nicolae Madaras	43.3%	99.9	31
3	Max Alcala Gurri	41.6%	99.8	121
4	Andrej Nedic	40.9%	99.7	87
5	Max Basing	40.2%	99.6	64
6	JE Juan Estevez	39.9%	99.5	84
7	Radu Mihai Papoe	39.5%	99.4	65
8	SA Stefan Adrian Andreescu	39.5%	99.3	78
9	JM Juan Cruz Martin Manzano	39.4%	99.2	65
10	IX Ioannis Xilas	39.2%	99.1	75
11	Kilian Feldbausch	38.5%	99.0	85
12	FM Filippo Moroni	38.5%	98.9	54
13	Juan Bautista Torres	38.1%	98.8	151
14	PR Pedro Rodrigues	38.0%	98.6	31
15	Guido Ivan Justo	37.9%	98.5	122
16	Lorenzo Angelini	37.8%	98.4	55
17	HC Hyeon Chung	37.6%	98.3	82
18	MV Mate Valkusz	37.4%	98.2	39
19	Dalibor Svrcina#111	37.4%	98.1	146
20	NT Nicolas Tepmahc	37.3%	98.0	76
21	YK Yuta Kawahashi	37.3%	97.9	58
22	Franco Roncadelli	37.1%	97.8	100
23	Michele Ribecai	37.1%	97.7	96
24	Gianluca Cadenasso	36.9%	97.6	82
25	IT Inaki Montes De La Torre	36.9%	97.5	95
26	Johan Nikles	36.8%	97.4	93
27	SC Sergi Perez Contri	36.7%	97.3	88
28	JC Joaquin Aguilar Cardozo	36.6%	97.2	62
29	KL Kuan Yi Lee	36.6%	97.1	64
30	Hernan Casanova	36.6%	97.0	88
31	AC Andrey Chepelev	36.6%	96.9	112
32	IM Ignacio Monzon	36.1%	96.8	78
33	Soon Woo Kwon	35.9%	96.7	48
34	Toby Samuel#109	35.8%	96.6	85
35	CC Cezar Cretu	35.8%	96.5	111
36	Maxim Mrva	35.7%	96.4	79
37	MZ Marcel Zielinski	35.7%	96.3	61
38	SF Santiago De La Fuente	35.7%	96.2	58
39	GG Gabriel Ghetu	35.6%	96.0	54
40	Federico Coria	35.5%	95.9	88
41	Matyas Cerny	35.5%	95.8	53
42	JS Juan Manuel La Serna	35.5%	95.7	76
43	MJ Miles Jones	35.5%	95.6	54
44	SH Sergio Callejon Hernando	35.4%	95.5	74
45	MD Matthew William Donald	35.4%	95.4	80
46	PS Patrick Schoen	35.4%	95.3	38
47	TC Tommaso Compagnucci	35.4%	95.2	89
48	MF Mario Gonzalez Fernandez	35.3%	95.1	65
49	Lautaro Midon	35.2%	95.0	131
50	Sebastian Sorger	35.2%	94.9	82

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

Viacheslav Bielinskyi

44.8% of return games broken

Average: 28.1%
Std. dev.: 4.4
Leader sits at: 3.8σ
Range: 17.1 … 44.8

963 players

#	Player	Value	Pctl	Sample
1	VB Viacheslav Bielinskyi	44.8%	100.0	79
2	DM Dragos Nicolae Madaras	43.3%	99.9	31
3	Max Alcala Gurri	41.6%	99.8	121
4	Andrej Nedic	40.9%	99.7	87
5	Max Basing	40.2%	99.6	64
6	JE Juan Estevez	39.9%	99.5	84
7	Radu Mihai Papoe	39.5%	99.4	65
8	SA Stefan Adrian Andreescu	39.5%	99.3	78
9	JM Juan Cruz Martin Manzano	39.4%	99.2	65
10	IX Ioannis Xilas	39.2%	99.1	75
11	Kilian Feldbausch	38.5%	99.0	85
12	FM Filippo Moroni	38.5%	98.9	54
13	Juan Bautista Torres	38.1%	98.8	151
14	PR Pedro Rodrigues	38.0%	98.6	31
15	Guido Ivan Justo	37.9%	98.5	122
16	Lorenzo Angelini	37.8%	98.4	55
17	HC Hyeon Chung	37.6%	98.3	82
18	MV Mate Valkusz	37.4%	98.2	39
19	Dalibor Svrcina#111	37.4%	98.1	146
20	NT Nicolas Tepmahc	37.3%	98.0	76
21	YK Yuta Kawahashi	37.3%	97.9	58
22	Franco Roncadelli	37.1%	97.8	100
23	Michele Ribecai	37.1%	97.7	96
24	Gianluca Cadenasso	36.9%	97.6	82
25	IT Inaki Montes De La Torre	36.9%	97.5	95
26	Johan Nikles	36.8%	97.4	93
27	SC Sergi Perez Contri	36.7%	97.3	88
28	JC Joaquin Aguilar Cardozo	36.6%	97.2	62
29	KL Kuan Yi Lee	36.6%	97.1	64
30	Hernan Casanova	36.6%	97.0	88
31	AC Andrey Chepelev	36.6%	96.9	112
32	IM Ignacio Monzon	36.1%	96.8	78
33	Soon Woo Kwon	35.9%	96.7	48
34	Toby Samuel#109	35.8%	96.6	85
35	CC Cezar Cretu	35.8%	96.5	111
36	Maxim Mrva	35.7%	96.4	79
37	MZ Marcel Zielinski	35.7%	96.3	61
38	SF Santiago De La Fuente	35.7%	96.2	58
39	GG Gabriel Ghetu	35.6%	96.0	54
40	Federico Coria	35.5%	95.9	88
41	Matyas Cerny	35.5%	95.8	53
42	JS Juan Manuel La Serna	35.5%	95.7	76
43	MJ Miles Jones	35.5%	95.6	54
44	SH Sergio Callejon Hernando	35.4%	95.5	74
45	MD Matthew William Donald	35.4%	95.4	80
46	PS Patrick Schoen	35.4%	95.3	38
47	TC Tommaso Compagnucci	35.4%	95.2	89
48	MF Mario Gonzalez Fernandez	35.3%	95.1	65
49	Lautaro Midon	35.2%	95.0	131
50	Sebastian Sorger	35.2%	94.9	82

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.