Closing out — full ATP & WTA ranking

Leader

Iga Swiatek

95.3% of matches closed out after winning the first set

Average: 83.7%
Std. dev.: 4.9
Leader sits at: 2.4σ
Range: 69.0 … 95.3

144 players

#	Player	Value	Pctl	Sample
1	Iga Swiatek#5	95.3%	100.0	277
2	SH Simona Halep	94.2%	99.3	52
3	Sara Bejlek#35	93.7%	98.6	79
4	Coco Gauff#4	93.3%	97.9	208
5	SV Sachia Vickery	93.1%	97.2	29
6	Iva Jovic#16	91.8%	96.5	98
7	OJ Ons Jabeur	91.8%	95.8	110
8	Sonay Kartal#124	91.8%	95.1	85
9	Karolina Muchova#7	91.0%	94.4	111
10	VA Victoria Azarenka	90.7%	93.7	86
11	Aryna Sabalenka#1	90.5%	93.0	242
12	Moyuka Uchijima#100	90.2%	92.3	92
13	SE Sara Errani	90.0%	91.6	30
14	Jessica Pegula#3	89.8%	90.9	215
15	Camila Osorio#55	89.5%	90.2	105
16	OD Olga Danilovic	89.4%	89.5	66
17	Emma Navarro#28	89.2%	88.8	111
18	Magda Linette#62	89.0%	88.1	109
19	Elena Rybakina#2	88.9%	87.4	217
20	Shuai Zhang	88.9%	86.7	108
21	Elina Svitolina#9	88.6%	86.0	132
22	Belinda Bencic#12	88.5%	85.3	148
23	Veronika Kudermetova#145	88.4%	84.6	121
24	Diana Shnaider#14	88.2%	83.9	119
25	Daria Kasatkina#68	88.1%	83.2	143
26	Lulu Sun#119	88.0%	82.5	75
27	ER Elena Ruse	88.0%	81.8	50
28	MV Marketa Vondrousova#148	87.8%	81.1	98
29	Naomi Osaka#13	87.5%	80.4	96
30	Dalma Galfi	87.5%	79.7	88
31	Emma Raducanu#59	87.4%	79.0	95
32	LT Lesia Tsurenko	87.2%	78.3	47
33	Qinwen Zheng	87.2%	77.6	125
34	Amanda Anisimova#10	87.2%	76.9	117
35	PM Petra Martic	87.2%	76.2	78
36	AP Anastasia Pavlyuchenkova	87.1%	75.5	62
37	Taylor Townsend#94	87.1%	74.8	62
38	Wang Xinyu#36	87.0%	74.1	23
39	Paula Badosa#84	86.8%	73.4	129
40	CB Clara Burel	86.8%	72.7	53
41	Anna Kalinskaya#21	86.7%	72.0	128
42	Leylah Fernandez#31	86.7%	71.3	135
43	Mirra Andreeva#6	86.3%	70.6	124
44	McCartney Kessler#58	86.3%	69.9	80
45	Linda Noskova#8	86.2%	69.2	116
46	Madison Keys#24	86.2%	68.5	152
47	Renata Zarazua#73	86.1%	67.8	101
48	Varvara Gracheva#106	86.1%	67.1	101
49	Sorana Cirstea#19	86.0%	66.4	129
50	Erika Andreeva	85.9%	65.7	64

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

Iga Swiatek

95.3% of matches closed out after winning the first set

Average: 83.7%
Std. dev.: 4.9
Leader sits at: 2.4σ
Range: 69.0 … 95.3

144 players

#	Player	Value	Pctl	Sample
1	Iga Swiatek#5	95.3%	100.0	277
2	SH Simona Halep	94.2%	99.3	52
3	Sara Bejlek#35	93.7%	98.6	79
4	Coco Gauff#4	93.3%	97.9	208
5	SV Sachia Vickery	93.1%	97.2	29
6	Iva Jovic#16	91.8%	96.5	98
7	OJ Ons Jabeur	91.8%	95.8	110
8	Sonay Kartal#124	91.8%	95.1	85
9	Karolina Muchova#7	91.0%	94.4	111
10	VA Victoria Azarenka	90.7%	93.7	86
11	Aryna Sabalenka#1	90.5%	93.0	242
12	Moyuka Uchijima#100	90.2%	92.3	92
13	SE Sara Errani	90.0%	91.6	30
14	Jessica Pegula#3	89.8%	90.9	215
15	Camila Osorio#55	89.5%	90.2	105
16	OD Olga Danilovic	89.4%	89.5	66
17	Emma Navarro#28	89.2%	88.8	111
18	Magda Linette#62	89.0%	88.1	109
19	Elena Rybakina#2	88.9%	87.4	217
20	Shuai Zhang	88.9%	86.7	108
21	Elina Svitolina#9	88.6%	86.0	132
22	Belinda Bencic#12	88.5%	85.3	148
23	Veronika Kudermetova#145	88.4%	84.6	121
24	Diana Shnaider#14	88.2%	83.9	119
25	Daria Kasatkina#68	88.1%	83.2	143
26	Lulu Sun#119	88.0%	82.5	75
27	ER Elena Ruse	88.0%	81.8	50
28	MV Marketa Vondrousova#148	87.8%	81.1	98
29	Naomi Osaka#13	87.5%	80.4	96
30	Dalma Galfi	87.5%	79.7	88
31	Emma Raducanu#59	87.4%	79.0	95
32	LT Lesia Tsurenko	87.2%	78.3	47
33	Qinwen Zheng	87.2%	77.6	125
34	Amanda Anisimova#10	87.2%	76.9	117
35	PM Petra Martic	87.2%	76.2	78
36	AP Anastasia Pavlyuchenkova	87.1%	75.5	62
37	Taylor Townsend#94	87.1%	74.8	62
38	Wang Xinyu#36	87.0%	74.1	23
39	Paula Badosa#84	86.8%	73.4	129
40	CB Clara Burel	86.8%	72.7	53
41	Anna Kalinskaya#21	86.7%	72.0	128
42	Leylah Fernandez#31	86.7%	71.3	135
43	Mirra Andreeva#6	86.3%	70.6	124
44	McCartney Kessler#58	86.3%	69.9	80
45	Linda Noskova#8	86.2%	69.2	116
46	Madison Keys#24	86.2%	68.5	152
47	Renata Zarazua#73	86.1%	67.8	101
48	Varvara Gracheva#106	86.1%	67.1	101
49	Sorana Cirstea#19	86.0%	66.4	129
50	Erika Andreeva	85.9%	65.7	64

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.