Closing out — full ATP & WTA ranking

Leader

Dragos Nicolae Madaras

100.0% of matches closed out after winning the first set

Average: 83.7%
Std. dev.: 6.6
Leader sits at: 2.5σ
Range: 58.6 … 100.0

988 players

#	Player	Value	Pctl	Sample
1	DM Dragos Nicolae Madaras	100.0%	100.0	24
2	CM Carlos Lopez Montagud	98.3%	99.9	58
3	TL Timo Legout	96.4%	99.8	28
4	SC Sean Cuenin	96.2%	99.7	53
5	OA Oliver Clark Anderson	96.2%	99.6	26
6	HN Hazem Naw	96.1%	99.5	51
7	YB Yan Bai	95.9%	99.4	74
8	NR Natan Rodrigues	95.8%	99.3	24
9	PB Pierre Yves Bailly	95.8%	99.2	24
10	Chris Rodesch#150	95.6%	99.1	91
11	DB Devin Badenhorst	95.5%	99.0	22
12	VB Viacheslav Bielinskyi	95.4%	98.9	87
13	PC Pawel Cias	95.3%	98.8	43
14	LC Luca Castelnuovo	95.2%	98.7	63
15	DS Dhakshineswar Suresh	95.2%	98.6	42
16	MG Mikhail Gorokhov	95.2%	98.5	21
17	Rafael Jodar#15	95.1%	98.4	82
18	SB Samir Banerjee	95.1%	98.3	41
19	OM Ognjen Milic	95.1%	98.2	61
20	RQ Rudy Quan	95.0%	98.1	20
21	TC Tommaso Compagnucci	94.9%	98.0	99
22	Raphael Collignon#38	94.8%	97.9	135
23	JF Jakub Filip	94.6%	97.8	37
24	KO Karlis Ozolins	94.6%	97.7	37
25	Guido Ivan Justo	94.4%	97.6	107
26	NT Nicolas Tepmahc	94.3%	97.5	53
27	JM Johannus Monday	94.3%	97.4	70
28	Felix Balshaw	94.2%	97.3	52
29	CD Corentin Denolly	94.2%	97.2	86
30	DS Dominic Stricker	94.0%	97.1	67
31	AO Amir Omarkhanov	93.9%	97.0	33
32	CF Chase Ferguson	93.8%	96.9	48
33	Jacopo Vasami	93.8%	96.8	32
34	Gauthier Onclin	93.7%	96.7	111
35	MS Mohamed Safwat	93.6%	96.6	47
36	MH Maximilian Homberg	93.5%	96.5	31
37	DW Damien Wenger	93.5%	96.4	46
38	AB Adria Soriano Barrera	93.3%	96.3	75
39	MD Matthew Dellavedova	93.3%	96.1	104
40	NI Nicholas David Ionel	93.3%	96.0	104
41	HA Harrison Adams	93.1%	95.9	29
42	KJ Kristijan Juhas	93.1%	95.8	29
43	MA Michael Agwi	93.1%	95.7	72
44	FP Filip Jeff Planinsek	93.0%	95.6	43
45	Carlos Sanchez Jover	93.0%	95.5	100
46	JK Jason Kubler	93.0%	95.4	71
47	AF Andrew Fenty	92.9%	95.3	70
48	SP Savva Polukhin	92.9%	95.2	28
49	Franco Roncadelli	92.8%	95.1	83
50	CO Carl Emil Overbeck	92.7%	95.0	41

How this is calculated

Minimum 20 matches after winning the first set. 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

Dragos Nicolae Madaras

100.0% of matches closed out after winning the first set

Average: 83.7%
Std. dev.: 6.6
Leader sits at: 2.5σ
Range: 58.6 … 100.0

988 players

#	Player	Value	Pctl	Sample
1	DM Dragos Nicolae Madaras	100.0%	100.0	24
2	CM Carlos Lopez Montagud	98.3%	99.9	58
3	TL Timo Legout	96.4%	99.8	28
4	SC Sean Cuenin	96.2%	99.7	53
5	OA Oliver Clark Anderson	96.2%	99.6	26
6	HN Hazem Naw	96.1%	99.5	51
7	YB Yan Bai	95.9%	99.4	74
8	NR Natan Rodrigues	95.8%	99.3	24
9	PB Pierre Yves Bailly	95.8%	99.2	24
10	Chris Rodesch#150	95.6%	99.1	91
11	DB Devin Badenhorst	95.5%	99.0	22
12	VB Viacheslav Bielinskyi	95.4%	98.9	87
13	PC Pawel Cias	95.3%	98.8	43
14	LC Luca Castelnuovo	95.2%	98.7	63
15	DS Dhakshineswar Suresh	95.2%	98.6	42
16	MG Mikhail Gorokhov	95.2%	98.5	21
17	Rafael Jodar#15	95.1%	98.4	82
18	SB Samir Banerjee	95.1%	98.3	41
19	OM Ognjen Milic	95.1%	98.2	61
20	RQ Rudy Quan	95.0%	98.1	20
21	TC Tommaso Compagnucci	94.9%	98.0	99
22	Raphael Collignon#38	94.8%	97.9	135
23	JF Jakub Filip	94.6%	97.8	37
24	KO Karlis Ozolins	94.6%	97.7	37
25	Guido Ivan Justo	94.4%	97.6	107
26	NT Nicolas Tepmahc	94.3%	97.5	53
27	JM Johannus Monday	94.3%	97.4	70
28	Felix Balshaw	94.2%	97.3	52
29	CD Corentin Denolly	94.2%	97.2	86
30	DS Dominic Stricker	94.0%	97.1	67
31	AO Amir Omarkhanov	93.9%	97.0	33
32	CF Chase Ferguson	93.8%	96.9	48
33	Jacopo Vasami	93.8%	96.8	32
34	Gauthier Onclin	93.7%	96.7	111
35	MS Mohamed Safwat	93.6%	96.6	47
36	MH Maximilian Homberg	93.5%	96.5	31
37	DW Damien Wenger	93.5%	96.4	46
38	AB Adria Soriano Barrera	93.3%	96.3	75
39	MD Matthew Dellavedova	93.3%	96.1	104
40	NI Nicholas David Ionel	93.3%	96.0	104
41	HA Harrison Adams	93.1%	95.9	29
42	KJ Kristijan Juhas	93.1%	95.8	29
43	MA Michael Agwi	93.1%	95.7	72
44	FP Filip Jeff Planinsek	93.0%	95.6	43
45	Carlos Sanchez Jover	93.0%	95.5	100
46	JK Jason Kubler	93.0%	95.4	71
47	AF Andrew Fenty	92.9%	95.3	70
48	SP Savva Polukhin	92.9%	95.2	28
49	Franco Roncadelli	92.8%	95.1	83
50	CO Carl Emil Overbeck	92.7%	95.0	41

How this is calculated

Minimum 20 matches after winning the first set. 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.