Break points converted — full ATP & WTA ranking

Leader

Billy Suarez

56.3% of break points converted

Average: 42.5%
Std. dev.: 3.5
Leader sits at: 3.9σ
Range: 32.2 … 56.3

963 players

#	Player	Value	Pctl	Sample
1	BS Billy Suarez	56.3%	100.0	35
2	JM Juan Cruz Martin Manzano	54.8%	99.9	65
3	IN Ivan Nedelko	53.2%	99.8	34
4	Kerem Yilmaz	53.1%	99.7	31
5	Radu Mihai Papoe	51.1%	99.6	65
6	Thomas Faurel	50.9%	99.5	89
7	Gilles Arnaud Bailly	50.8%	99.4	98
8	AM Anas Mazdrashki	50.4%	99.3	44
9	AT Aristotelis Thanos	50.3%	99.2	43
10	AG Axel Garcian	50.3%	99.1	47
11	DM Dragos Nicolae Madaras	50.2%	99.0	31
12	GT Gian Luca Tanner	50.2%	98.9	35
13	Andrej Nedic	50.1%	98.8	87
14	VB Viacheslav Bielinskyi	49.9%	98.6	79
15	Max Basing	49.9%	98.5	64
16	SA Stefan Adrian Andreescu	49.7%	98.4	78
17	AP Andreja Petrovic	49.5%	98.3	42
18	IB Isaac Becroft	49.3%	98.2	39
19	TM Tomas Martinez	49.2%	98.1	44
20	SC Sean Cuenin	49.2%	98.0	72
21	Dalibor Svrcina#111	49.2%	97.9	146
22	MM Mihai Razvan Marinescu	49.2%	97.8	48
23	Filip Peliwo	49.2%	97.7	108
24	FJ Filip Cristian Jianu	49.0%	97.6	141
25	Juan Bautista Torres	49.0%	97.5	151
26	RP Rocco Piatti	49.0%	97.4	30
27	RP Raphael Perot	48.9%	97.3	63
28	IT Inaki Montes De La Torre	48.9%	97.2	95
29	SG Svyatoslav Gulin	48.9%	97.1	89
30	AC Andrey Chepelev	48.8%	97.0	112
31	MK Martin Klizan	48.8%	96.9	44
32	Arthur Weber	48.7%	96.8	87
33	IM Ignacio Monzon	48.6%	96.7	78
34	SH Sergio Callejon Hernando	48.6%	96.6	74
35	FM Filippo Moroni	48.6%	96.5	54
36	JC Joaquin Aguilar Cardozo	48.6%	96.4	62
37	MF Mario Gonzalez Fernandez	48.5%	96.3	65
38	Maxim Mrva	48.5%	96.2	79
39	SC Sergi Perez Contri	48.4%	96.0	88
40	DW Damien Wenger	48.4%	95.9	62
41	KS Karue Sell	48.4%	95.8	72
42	MK Matt Kuhar	48.4%	95.7	64
43	DK Denys Klok	48.3%	95.6	71
44	TT Tiago Torres	48.3%	95.5	59
45	RT Rigele Te	48.3%	95.4	43
46	NB Nikita Bilozertsev	48.3%	95.3	32
47	CS Christian Sigsgaard	48.2%	95.2	33
48	TA Tomas Curras Abasolo	48.2%	95.1	60
49	NT Nicolas Tepmahc	48.1%	95.0	76
50	IV Izan Almazan Valiente	48.1%	94.9	59

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

Billy Suarez

56.3% of break points converted

Average: 42.5%
Std. dev.: 3.5
Leader sits at: 3.9σ
Range: 32.2 … 56.3

963 players

#	Player	Value	Pctl	Sample
1	BS Billy Suarez	56.3%	100.0	35
2	JM Juan Cruz Martin Manzano	54.8%	99.9	65
3	IN Ivan Nedelko	53.2%	99.8	34
4	Kerem Yilmaz	53.1%	99.7	31
5	Radu Mihai Papoe	51.1%	99.6	65
6	Thomas Faurel	50.9%	99.5	89
7	Gilles Arnaud Bailly	50.8%	99.4	98
8	AM Anas Mazdrashki	50.4%	99.3	44
9	AT Aristotelis Thanos	50.3%	99.2	43
10	AG Axel Garcian	50.3%	99.1	47
11	DM Dragos Nicolae Madaras	50.2%	99.0	31
12	GT Gian Luca Tanner	50.2%	98.9	35
13	Andrej Nedic	50.1%	98.8	87
14	VB Viacheslav Bielinskyi	49.9%	98.6	79
15	Max Basing	49.9%	98.5	64
16	SA Stefan Adrian Andreescu	49.7%	98.4	78
17	AP Andreja Petrovic	49.5%	98.3	42
18	IB Isaac Becroft	49.3%	98.2	39
19	TM Tomas Martinez	49.2%	98.1	44
20	SC Sean Cuenin	49.2%	98.0	72
21	Dalibor Svrcina#111	49.2%	97.9	146
22	MM Mihai Razvan Marinescu	49.2%	97.8	48
23	Filip Peliwo	49.2%	97.7	108
24	FJ Filip Cristian Jianu	49.0%	97.6	141
25	Juan Bautista Torres	49.0%	97.5	151
26	RP Rocco Piatti	49.0%	97.4	30
27	RP Raphael Perot	48.9%	97.3	63
28	IT Inaki Montes De La Torre	48.9%	97.2	95
29	SG Svyatoslav Gulin	48.9%	97.1	89
30	AC Andrey Chepelev	48.8%	97.0	112
31	MK Martin Klizan	48.8%	96.9	44
32	Arthur Weber	48.7%	96.8	87
33	IM Ignacio Monzon	48.6%	96.7	78
34	SH Sergio Callejon Hernando	48.6%	96.6	74
35	FM Filippo Moroni	48.6%	96.5	54
36	JC Joaquin Aguilar Cardozo	48.6%	96.4	62
37	MF Mario Gonzalez Fernandez	48.5%	96.3	65
38	Maxim Mrva	48.5%	96.2	79
39	SC Sergi Perez Contri	48.4%	96.0	88
40	DW Damien Wenger	48.4%	95.9	62
41	KS Karue Sell	48.4%	95.8	72
42	MK Matt Kuhar	48.4%	95.7	64
43	DK Denys Klok	48.3%	95.6	71
44	TT Tiago Torres	48.3%	95.5	59
45	RT Rigele Te	48.3%	95.4	43
46	NB Nikita Bilozertsev	48.3%	95.3	32
47	CS Christian Sigsgaard	48.2%	95.2	33
48	TA Tomas Curras Abasolo	48.2%	95.1	60
49	NT Nicolas Tepmahc	48.1%	95.0	76
50	IV Izan Almazan Valiente	48.1%	94.9	59

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.