Deciding sets — full ATP & WTA ranking

Leader

Andrej Martin

75.0% of deciding sets won

Average: 51.0%
Std. dev.: 9.5
Leader sits at: 2.5σ
Range: 18.2 … 75.0

803 players

#	Player	Value	Pctl	Sample
1	Andrej Martin	75.0%	100.0	44
2	Rafael Jodar#15	74.4%	99.9	43
3	AF Alan Fernando Rubio Fierros	73.3%	99.8	30
4	JF Jay Dylan Hara Friend	73.3%	99.6	30
5	Chris Rodesch#150	73.2%	99.5	41
6	CF Chase Ferguson	73.1%	99.4	26
7	KS Keisuke Saitoh	72.7%	99.3	22
8	OK Orel Kimhi	72.7%	99.1	22
9	MG Matteo Gigante	72.1%	99.0	43
10	MS Manish Sureshkumar	72.0%	98.9	25
11	AK Albert Pedrico Kravtsov	71.4%	98.8	21
12	AO Amir Omarkhanov	71.4%	98.6	21
13	Gauthier Onclin	70.9%	98.5	55
14	MD Matthew Dellavedova	70.9%	98.4	55
15	BB Blu Baker	70.0%	98.3	20
16	CM Carlos Lopez Montagud	69.7%	98.1	33
17	NI Nicholas David Ionel	69.4%	98.0	49
18	GG Gabriel Ghetu	69.0%	97.9	29
19	Gianluca Cadenasso	68.9%	97.8	45
20	Juan Carlos Prado Angelo	68.7%	97.6	67
21	GV Gonzalo Villanueva	68.5%	97.5	54
22	Rio Noguchi	68.5%	97.4	54
23	PC Pawel Cias	68.2%	97.3	22
24	SC Sean Cuenin	68.2%	97.1	22
25	Jakub Nicod	67.9%	97.0	28
26	SH Seong Chan Hong	67.9%	96.9	28
27	Alexander Blockx#32	67.7%	96.8	62
28	BM Blake Mott	67.7%	96.6	31
29	VB Viacheslav Bielinskyi	67.7%	96.5	31
30	Petr Nesterov	67.2%	96.4	64
31	Stefanos Sakellaridis	67.1%	96.3	79
32	Carlos Sanchez Jover	66.7%	96.1	54
33	GV Giuseppe La Vela	66.7%	96.0	39
34	PM Patrick Maloney	66.7%	95.9	36
35	TT Tiago Torres	66.7%	95.8	33
36	Millen Hurrion	66.7%	95.6	27
37	JF Jakub Filip	66.7%	95.5	24
38	Alexandr Binda	66.0%	95.4	50
39	CD Corentin Denolly	65.8%	95.3	38
40	LD Liam Draxl	65.6%	95.1	64
41	AG Axel Garcian	65.6%	95.0	32
42	JS Jelle Sels	65.4%	94.9	52
43	Akira Santillan	65.4%	94.8	26
44	AT Aristotelis Thanos	65.2%	94.6	23
45	Braden Shick	65.2%	94.5	23
46	Cruz Hewitt	65.2%	94.4	23
47	MT Mariano Tammaro	65.2%	94.3	23
48	Arthur Fery#36	65.1%	94.1	43
49	Vadym Ursu	65.0%	94.0	60
50	AP Alessandro Pecci	65.0%	93.9	40

How this is calculated

Minimum 20 deciding sets played. 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

Andrej Martin

75.0% of deciding sets won

Average: 51.0%
Std. dev.: 9.5
Leader sits at: 2.5σ
Range: 18.2 … 75.0

803 players

#	Player	Value	Pctl	Sample
1	Andrej Martin	75.0%	100.0	44
2	Rafael Jodar#15	74.4%	99.9	43
3	AF Alan Fernando Rubio Fierros	73.3%	99.8	30
4	JF Jay Dylan Hara Friend	73.3%	99.6	30
5	Chris Rodesch#150	73.2%	99.5	41
6	CF Chase Ferguson	73.1%	99.4	26
7	KS Keisuke Saitoh	72.7%	99.3	22
8	OK Orel Kimhi	72.7%	99.1	22
9	MG Matteo Gigante	72.1%	99.0	43
10	MS Manish Sureshkumar	72.0%	98.9	25
11	AK Albert Pedrico Kravtsov	71.4%	98.8	21
12	AO Amir Omarkhanov	71.4%	98.6	21
13	Gauthier Onclin	70.9%	98.5	55
14	MD Matthew Dellavedova	70.9%	98.4	55
15	BB Blu Baker	70.0%	98.3	20
16	CM Carlos Lopez Montagud	69.7%	98.1	33
17	NI Nicholas David Ionel	69.4%	98.0	49
18	GG Gabriel Ghetu	69.0%	97.9	29
19	Gianluca Cadenasso	68.9%	97.8	45
20	Juan Carlos Prado Angelo	68.7%	97.6	67
21	GV Gonzalo Villanueva	68.5%	97.5	54
22	Rio Noguchi	68.5%	97.4	54
23	PC Pawel Cias	68.2%	97.3	22
24	SC Sean Cuenin	68.2%	97.1	22
25	Jakub Nicod	67.9%	97.0	28
26	SH Seong Chan Hong	67.9%	96.9	28
27	Alexander Blockx#32	67.7%	96.8	62
28	BM Blake Mott	67.7%	96.6	31
29	VB Viacheslav Bielinskyi	67.7%	96.5	31
30	Petr Nesterov	67.2%	96.4	64
31	Stefanos Sakellaridis	67.1%	96.3	79
32	Carlos Sanchez Jover	66.7%	96.1	54
33	GV Giuseppe La Vela	66.7%	96.0	39
34	PM Patrick Maloney	66.7%	95.9	36
35	TT Tiago Torres	66.7%	95.8	33
36	Millen Hurrion	66.7%	95.6	27
37	JF Jakub Filip	66.7%	95.5	24
38	Alexandr Binda	66.0%	95.4	50
39	CD Corentin Denolly	65.8%	95.3	38
40	LD Liam Draxl	65.6%	95.1	64
41	AG Axel Garcian	65.6%	95.0	32
42	JS Jelle Sels	65.4%	94.9	52
43	Akira Santillan	65.4%	94.8	26
44	AT Aristotelis Thanos	65.2%	94.6	23
45	Braden Shick	65.2%	94.5	23
46	Cruz Hewitt	65.2%	94.4	23
47	MT Mariano Tammaro	65.2%	94.3	23
48	Arthur Fery#36	65.1%	94.1	43
49	Vadym Ursu	65.0%	94.0	60
50	AP Alessandro Pecci	65.0%	93.9	40

How this is calculated

Minimum 20 deciding sets played. 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.