Win percentage — full ATP & WTA ranking

Leader

Iga Swiatek

82.6% of matches won

Average: 54.1%
Std. dev.: 9.2
Leader sits at: 3.1σ
Range: 12.5 … 82.6

153 players

#	Player	Value	Pctl	Sample
1	Iga Swiatek#8	82.6%	100.0	357
2	Aryna Sabalenka#1	77.5%	99.3	325
3	Elena Rybakina#2	74.4%	98.7	305
4	SH Simona Halep	74.3%	98.0	70
5	ER Elena Ruse	74.0%	97.4	73
6	Coco Gauff#4	72.2%	96.7	316
7	Jessica Pegula#3	71.6%	96.1	327
8	Belinda Bencic#14	71.2%	95.4	222
9	Mirra Andreeva#5	70.7%	94.7	181
10	Elina Svitolina#9	68.8%	94.1	208
11	Sonay Kartal#124	68.3%	93.4	123
12	Karolina Muchova#6	68.2%	92.8	173
13	Madison Keys#23	68.0%	92.1	228
14	Iva Jovic#16	67.6%	91.4	145
15	MV Marketa Vondrousova#140	67.6%	90.8	145
16	Amanda Anisimova#10	67.2%	90.1	183
17	OJ Ons Jabeur	66.3%	89.5	181
18	Naomi Osaka#13	66.2%	88.8	145
19	Paula Badosa#84	66.0%	88.2	203
20	Sara Bejlek#38	64.0%	87.5	125
21	Danielle Collins	63.5%	86.8	167
22	Qinwen Zheng	63.4%	86.2	213
23	Anna Kalinskaya#21	62.7%	85.5	201
24	VA Victoria Azarenka	62.7%	84.9	150
25	Diana Shnaider#17	61.9%	84.2	202
26	Barbora Krejcikova#26	61.7%	83.6	193
27	Marta Kostyuk#11	61.0%	82.9	236
28	Maya Joint#75	60.6%	82.2	193
29	PK Petra Kvitova	60.2%	81.6	103
30	OD Olga Danilovic	60.2%	80.9	118
31	Jelena Ostapenko#29	60.2%	80.3	241
32	Linda Noskova#7	59.8%	79.6	194
33	Jasmine Paolini#15	59.6%	78.9	270
34	McCartney Kessler#48	59.5%	78.3	153
35	Emma Navarro#28	59.0%	77.6	210
36	CG Caroline Garcia	58.5%	77.0	183
37	Emma Raducanu#49	58.3%	76.3	156
38	Anastasia Potapova#27	58.3%	75.7	223
39	Elise Mertens#24	58.0%	75.0	250
40	Hailey Baptiste#32	58.0%	74.3	169
41	Daria Kasatkina#61	58.0%	73.7	276
42	Maria Sakkari#33	57.9%	73.0	266
43	Marie Bouzkova#25	57.9%	72.4	235
44	Clara Tauson#30	57.8%	71.7	192
45	Caty McNally	57.8%	71.1	154
46	CW Caroline Wozniacki	57.6%	70.4	33
47	Ekaterina Alexandrova#19	57.6%	69.7	271
48	Sorana Cirstea#18	57.5%	69.1	221
49	Alexandra Eala#20	57.3%	68.4	199
50	Eva Lys#85	57.1%	67.8	140

How this is calculated

Minimum 30 matches with a recorded score. 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

82.6% of matches won

Average: 54.1%
Std. dev.: 9.2
Leader sits at: 3.1σ
Range: 12.5 … 82.6

153 players

#	Player	Value	Pctl	Sample
1	Iga Swiatek#8	82.6%	100.0	357
2	Aryna Sabalenka#1	77.5%	99.3	325
3	Elena Rybakina#2	74.4%	98.7	305
4	SH Simona Halep	74.3%	98.0	70
5	ER Elena Ruse	74.0%	97.4	73
6	Coco Gauff#4	72.2%	96.7	316
7	Jessica Pegula#3	71.6%	96.1	327
8	Belinda Bencic#14	71.2%	95.4	222
9	Mirra Andreeva#5	70.7%	94.7	181
10	Elina Svitolina#9	68.8%	94.1	208
11	Sonay Kartal#124	68.3%	93.4	123
12	Karolina Muchova#6	68.2%	92.8	173
13	Madison Keys#23	68.0%	92.1	228
14	Iva Jovic#16	67.6%	91.4	145
15	MV Marketa Vondrousova#140	67.6%	90.8	145
16	Amanda Anisimova#10	67.2%	90.1	183
17	OJ Ons Jabeur	66.3%	89.5	181
18	Naomi Osaka#13	66.2%	88.8	145
19	Paula Badosa#84	66.0%	88.2	203
20	Sara Bejlek#38	64.0%	87.5	125
21	Danielle Collins	63.5%	86.8	167
22	Qinwen Zheng	63.4%	86.2	213
23	Anna Kalinskaya#21	62.7%	85.5	201
24	VA Victoria Azarenka	62.7%	84.9	150
25	Diana Shnaider#17	61.9%	84.2	202
26	Barbora Krejcikova#26	61.7%	83.6	193
27	Marta Kostyuk#11	61.0%	82.9	236
28	Maya Joint#75	60.6%	82.2	193
29	PK Petra Kvitova	60.2%	81.6	103
30	OD Olga Danilovic	60.2%	80.9	118
31	Jelena Ostapenko#29	60.2%	80.3	241
32	Linda Noskova#7	59.8%	79.6	194
33	Jasmine Paolini#15	59.6%	78.9	270
34	McCartney Kessler#48	59.5%	78.3	153
35	Emma Navarro#28	59.0%	77.6	210
36	CG Caroline Garcia	58.5%	77.0	183
37	Emma Raducanu#49	58.3%	76.3	156
38	Anastasia Potapova#27	58.3%	75.7	223
39	Elise Mertens#24	58.0%	75.0	250
40	Hailey Baptiste#32	58.0%	74.3	169
41	Daria Kasatkina#61	58.0%	73.7	276
42	Maria Sakkari#33	57.9%	73.0	266
43	Marie Bouzkova#25	57.9%	72.4	235
44	Clara Tauson#30	57.8%	71.7	192
45	Caty McNally	57.8%	71.1	154
46	CW Caroline Wozniacki	57.6%	70.4	33
47	Ekaterina Alexandrova#19	57.6%	69.7	271
48	Sorana Cirstea#18	57.5%	69.1	221
49	Alexandra Eala#20	57.3%	68.4	199
50	Eva Lys#85	57.1%	67.8	140

How this is calculated

Minimum 30 matches with a recorded score. 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.