Deciding sets — full ATP & WTA ranking

Leader

Sara Errani

73.9% of deciding sets won

Average: 53.0%
Std. dev.: 6.9
Leader sits at: 3.0σ
Range: 29.2 … 73.9

139 players

#	Player	Value	Pctl	Sample
1	SE Sara Errani	73.9%	100.0	23
2	ER Elena Ruse	73.1%	99.3	26
3	Iga Swiatek#8	65.9%	98.6	85
4	Qinwen Zheng	65.5%	97.8	84
5	Coco Gauff#4	65.2%	97.1	89
6	Jessica Pegula#3	64.6%	96.4	113
7	Lulu Sun#117	62.9%	95.7	35
8	Marta Kostyuk#11	62.5%	94.9	88
9	LT Lesia Tsurenko	62.1%	94.2	29
10	OD Olga Danilovic	61.8%	93.5	34
11	OJ Ons Jabeur	61.7%	92.8	60
12	Amanda Anisimova#10	61.3%	92.0	62
13	Anastasia Potapova#27	60.9%	91.3	92
14	Magda Linette#68	60.7%	90.6	89
15	Jasmine Paolini#15	60.6%	89.9	99
16	Jelena Ostapenko#29	60.6%	89.1	99
17	Sara Bejlek#38	60.6%	88.4	33
18	Belinda Bencic#14	60.5%	87.7	81
19	Jessica Bouzas Maneiro#63	60.3%	87.0	58
20	Elena Rybakina#2	59.6%	86.2	109
21	Elina Avanesyan	59.6%	85.5	52
22	VA Victoria Azarenka	59.6%	84.8	52
23	Naomi Osaka#13	59.6%	84.1	47
24	Varvara Gracheva#102	59.5%	83.3	74
25	CG Caroline Garcia	59.4%	82.6	69
26	Moyuka Uchijima#111	59.4%	81.9	69
27	Zeynep Sonmez#52	59.3%	81.2	59
28	PM Petra Martic	59.3%	80.4	54
29	AK Aleksandra Krunic	59.3%	79.7	27
30	Anhelina Kalinina#54	59.2%	79.0	76
31	McCartney Kessler#48	58.9%	78.3	56
32	Iva Jovic#16	58.7%	77.5	46
33	Maya Joint#75	58.2%	76.8	67
34	Jaqueline Cristian#39	58.1%	76.1	74
35	Karolina Pliskova#66	58.1%	75.4	62
36	Elina Svitolina#9	58.0%	74.6	69
37	Karolina Muchova#6	57.8%	73.9	64
38	Camila Osorio#60	57.5%	73.2	73
39	Paula Badosa#84	57.5%	72.5	73
40	Diana Shnaider#17	57.4%	71.7	68
41	Linda Noskova#7	57.4%	71.0	68
42	Emma Navarro#28	57.1%	70.3	84
43	Mirra Andreeva#5	57.1%	69.6	56
44	Anna Kalinskaya#21	56.8%	68.8	81
45	Rebecca Sramkova#143	56.7%	68.1	60
46	PK Petra Kvitova	56.7%	67.4	30
47	Aryna Sabalenka#1	56.6%	66.7	99
48	YW Yafan Wang	56.5%	65.9	23
49	Harriet Dart#144	56.1%	65.2	82
50	Madison Keys#23	56.0%	64.5	75

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

Sara Errani

73.9% of deciding sets won

Average: 53.0%
Std. dev.: 6.9
Leader sits at: 3.0σ
Range: 29.2 … 73.9

139 players

#	Player	Value	Pctl	Sample
1	SE Sara Errani	73.9%	100.0	23
2	ER Elena Ruse	73.1%	99.3	26
3	Iga Swiatek#8	65.9%	98.6	85
4	Qinwen Zheng	65.5%	97.8	84
5	Coco Gauff#4	65.2%	97.1	89
6	Jessica Pegula#3	64.6%	96.4	113
7	Lulu Sun#117	62.9%	95.7	35
8	Marta Kostyuk#11	62.5%	94.9	88
9	LT Lesia Tsurenko	62.1%	94.2	29
10	OD Olga Danilovic	61.8%	93.5	34
11	OJ Ons Jabeur	61.7%	92.8	60
12	Amanda Anisimova#10	61.3%	92.0	62
13	Anastasia Potapova#27	60.9%	91.3	92
14	Magda Linette#68	60.7%	90.6	89
15	Jasmine Paolini#15	60.6%	89.9	99
16	Jelena Ostapenko#29	60.6%	89.1	99
17	Sara Bejlek#38	60.6%	88.4	33
18	Belinda Bencic#14	60.5%	87.7	81
19	Jessica Bouzas Maneiro#63	60.3%	87.0	58
20	Elena Rybakina#2	59.6%	86.2	109
21	Elina Avanesyan	59.6%	85.5	52
22	VA Victoria Azarenka	59.6%	84.8	52
23	Naomi Osaka#13	59.6%	84.1	47
24	Varvara Gracheva#102	59.5%	83.3	74
25	CG Caroline Garcia	59.4%	82.6	69
26	Moyuka Uchijima#111	59.4%	81.9	69
27	Zeynep Sonmez#52	59.3%	81.2	59
28	PM Petra Martic	59.3%	80.4	54
29	AK Aleksandra Krunic	59.3%	79.7	27
30	Anhelina Kalinina#54	59.2%	79.0	76
31	McCartney Kessler#48	58.9%	78.3	56
32	Iva Jovic#16	58.7%	77.5	46
33	Maya Joint#75	58.2%	76.8	67
34	Jaqueline Cristian#39	58.1%	76.1	74
35	Karolina Pliskova#66	58.1%	75.4	62
36	Elina Svitolina#9	58.0%	74.6	69
37	Karolina Muchova#6	57.8%	73.9	64
38	Camila Osorio#60	57.5%	73.2	73
39	Paula Badosa#84	57.5%	72.5	73
40	Diana Shnaider#17	57.4%	71.7	68
41	Linda Noskova#7	57.4%	71.0	68
42	Emma Navarro#28	57.1%	70.3	84
43	Mirra Andreeva#5	57.1%	69.6	56
44	Anna Kalinskaya#21	56.8%	68.8	81
45	Rebecca Sramkova#143	56.7%	68.1	60
46	PK Petra Kvitova	56.7%	67.4	30
47	Aryna Sabalenka#1	56.6%	66.7	99
48	YW Yafan Wang	56.5%	65.9	23
49	Harriet Dart#144	56.1%	65.2	82
50	Madison Keys#23	56.0%	64.5	75

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.