Straight-set wins — full ATP & WTA ranking

Leader

Hunter Heck

95.0% of their wins came in straight sets

Average: 69.1%
Std. dev.: 8.5
Leader sits at: 3.0σ
Range: 25.0 … 95.0

973 players

#	Player	Value	Pctl	Sample
1	Hunter Heck	95.0%	100.0	20
2	PB Pierre Yves Bailly	91.7%	99.9	24
3	SF Sora Fukuda	90.5%	99.8	42
4	HA Harrison Adams	89.3%	99.7	28
5	YK Yannik Kelm	88.5%	99.6	26
6	Tuncay Duran	88.4%	99.5	43
7	GR Gregor Ramskogler	88.0%	99.4	25
8	Gavin Young	87.5%	99.3	24
9	JA Jack Anthrop	87.5%	99.2	24
10	GO Goncalo Oliveira	87.2%	99.1	47
11	NL Nam Hoang Ly	87.1%	99.0	31
12	KO Karlis Ozolins	86.8%	98.9	38
13	MJ Miles Jones	86.5%	98.8	52
14	PL Pavel Lagutin	86.4%	98.7	22
15	RT Rafael Tosetto	86.4%	98.6	22
16	BP Benjamin Pietri	86.2%	98.5	29
17	NK Nicola Kuhn	85.7%	98.4	42
18	HC Hyeon Chung	85.5%	98.3	55
19	TY Taiyo Yamanaka	85.4%	98.1	41
20	GA Gustavo Ribeiro De Almeida	85.3%	98.0	34
21	Toby Samuel#109	85.2%	97.9	81
22	S D Prajwal Dev	85.2%	97.8	54
23	NH Naoya Honda	85.2%	97.7	27
24	NB Nikita Bilozertsev	85.0%	97.6	20
25	PR Pedro Rodenas	85.0%	97.5	20
26	KB Kaylan Bigun	84.6%	97.4	26
27	AT Alvin Nicholas Tudorica	84.5%	97.3	58
28	BT Benjamin Torrealba	84.4%	97.2	32
29	Anton Shepp	84.2%	97.1	38
30	DM Dragos Nicolae Madaras	84.0%	97.0	25
31	DS Diego Augusto Barreto Sanchez	83.8%	96.9	68
32	Maxwell Mckennon	83.8%	96.8	68
33	IM Iannis Miletich	83.8%	96.7	37
34	Kenta Miyoshi	83.7%	96.6	43
35	AF Andrew Fenty	83.6%	96.5	73
36	PF Peter Fajta	83.5%	96.4	79
37	SV Stefan Vujic	83.3%	96.3	24
38	RD Ryan Dickerson	82.9%	96.2	41
39	Arthur Weber	82.9%	96.1	70
40	LC Luca Castelnuovo	82.9%	96.0	70
41	SR Samuel Vincent Ruggeri	82.9%	95.9	70
42	EB Elliot Benchetrit	82.9%	95.8	35
43	Emilien Demanet	82.6%	95.7	69
44	BL Benjamin Winter Lopez	82.6%	95.6	23
45	ML Mika Lipp	82.6%	95.5	23
46	PM Pedro Vives Marcos	82.5%	95.4	40
47	LX Linang Xiao	82.4%	95.3	34
48	JS Juan Alejandro Hernandez Serrano	82.3%	95.2	62
49	SP Savva Polukhin	82.1%	95.1	28
50	Michele Ribecai	82.0%	95.0	89

How this is calculated

Minimum 20 wins. 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. Five years of results. These rows need only the scoreline, which exists far further back than serve statistics do.
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

Hunter Heck

95.0% of their wins came in straight sets

Average: 69.1%
Std. dev.: 8.5
Leader sits at: 3.0σ
Range: 25.0 … 95.0

973 players

#	Player	Value	Pctl	Sample
1	Hunter Heck	95.0%	100.0	20
2	PB Pierre Yves Bailly	91.7%	99.9	24
3	SF Sora Fukuda	90.5%	99.8	42
4	HA Harrison Adams	89.3%	99.7	28
5	YK Yannik Kelm	88.5%	99.6	26
6	Tuncay Duran	88.4%	99.5	43
7	GR Gregor Ramskogler	88.0%	99.4	25
8	Gavin Young	87.5%	99.3	24
9	JA Jack Anthrop	87.5%	99.2	24
10	GO Goncalo Oliveira	87.2%	99.1	47
11	NL Nam Hoang Ly	87.1%	99.0	31
12	KO Karlis Ozolins	86.8%	98.9	38
13	MJ Miles Jones	86.5%	98.8	52
14	PL Pavel Lagutin	86.4%	98.7	22
15	RT Rafael Tosetto	86.4%	98.6	22
16	BP Benjamin Pietri	86.2%	98.5	29
17	NK Nicola Kuhn	85.7%	98.4	42
18	HC Hyeon Chung	85.5%	98.3	55
19	TY Taiyo Yamanaka	85.4%	98.1	41
20	GA Gustavo Ribeiro De Almeida	85.3%	98.0	34
21	Toby Samuel#109	85.2%	97.9	81
22	S D Prajwal Dev	85.2%	97.8	54
23	NH Naoya Honda	85.2%	97.7	27
24	NB Nikita Bilozertsev	85.0%	97.6	20
25	PR Pedro Rodenas	85.0%	97.5	20
26	KB Kaylan Bigun	84.6%	97.4	26
27	AT Alvin Nicholas Tudorica	84.5%	97.3	58
28	BT Benjamin Torrealba	84.4%	97.2	32
29	Anton Shepp	84.2%	97.1	38
30	DM Dragos Nicolae Madaras	84.0%	97.0	25
31	DS Diego Augusto Barreto Sanchez	83.8%	96.9	68
32	Maxwell Mckennon	83.8%	96.8	68
33	IM Iannis Miletich	83.8%	96.7	37
34	Kenta Miyoshi	83.7%	96.6	43
35	AF Andrew Fenty	83.6%	96.5	73
36	PF Peter Fajta	83.5%	96.4	79
37	SV Stefan Vujic	83.3%	96.3	24
38	RD Ryan Dickerson	82.9%	96.2	41
39	Arthur Weber	82.9%	96.1	70
40	LC Luca Castelnuovo	82.9%	96.0	70
41	SR Samuel Vincent Ruggeri	82.9%	95.9	70
42	EB Elliot Benchetrit	82.9%	95.8	35
43	Emilien Demanet	82.6%	95.7	69
44	BL Benjamin Winter Lopez	82.6%	95.6	23
45	ML Mika Lipp	82.6%	95.5	23
46	PM Pedro Vives Marcos	82.5%	95.4	40
47	LX Linang Xiao	82.4%	95.3	34
48	JS Juan Alejandro Hernandez Serrano	82.3%	95.2	62
49	SP Savva Polukhin	82.1%	95.1	28
50	Michele Ribecai	82.0%	95.0	89

How this is calculated

Minimum 20 wins. 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. Five years of results. These rows need only the scoreline, which exists far further back than serve statistics do.
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.