Deciding sets — full ATP & WTA ranking

Leader

Lidia Encheva

80.0% of deciding sets won

Average: 51.4%
Std. dev.: 9.2
Leader sits at: 3.1σ
Range: 20.0 … 80.0

620 players

#	Player	Value	Pctl	Sample
1	LE Lidia Encheva	80.0%	100.0	30
2	JG Joanna Garland	76.9%	99.8	26
3	Luisina Giovannini	73.3%	99.7	30
4	AV Arina Gabriela Vasilescu	72.7%	99.5	22
5	Victoria Mboko#12	71.7%	99.4	53
6	DK Daria Khomutsianskaya	71.4%	99.2	28
7	MR Maria Jose Portillo Ramirez	71.4%	99.0	21
8	KN Kayo Nishimura	71.0%	98.9	31
9	JL Jenny Lim	70.8%	98.7	24
10	Kaitlin Quevedo#94	69.6%	98.5	56
11	NM Noemi Maines	69.6%	98.4	23
12	EA Eva Guerrero Alvarez	69.0%	98.2	29
13	Tereza Valentova#67	68.4%	98.1	38
14	AT Alice Tubello	68.2%	97.9	44
15	NS Nina Stojanovic	68.2%	97.7	22
16	CN Clervie Ngounoue	67.9%	97.6	28
17	Darya Astakhova	67.9%	97.4	28
18	EM Ekaterina Maklakova	67.9%	97.3	28
19	VP Varvara Panshina	67.9%	97.1	28
20	MB Marie Benoit	67.7%	96.9	31
21	Alina Korneeva#89	67.6%	96.8	34
22	Elena Micic	67.5%	96.6	40
23	Julie Struplova	67.5%	96.4	40
24	Irene Burillo Escorihuela	66.7%	96.3	51
25	Laura Samson#123	66.7%	96.1	39
26	Lisa Pigato#133	66.7%	96.0	39
27	SI Sayaka Ishii	66.7%	95.8	36
28	AW Anja Wildgruber	66.7%	95.6	33
29	Tyra Caterina Grant	66.7%	95.5	30
30	CS Chantal Sauvant	66.7%	95.3	21
31	EL Evialina Laskevich	66.7%	95.2	21
32	KC Kaat Coppez	66.7%	95.0	21
33	YK Yujin Kim	66.7%	94.8	21
34	Mananchaya Sawangkaew#109	66.0%	94.7	50
35	AS Ana Sofia Sanchez	66.0%	94.5	47
36	JB Julie Belgraver	66.0%	94.3	47
37	Hanyu Guo	65.9%	94.2	41
38	CB Carson Branstine	65.6%	94.0	32
39	RJ Renáta Jamrichová	65.6%	93.9	32
40	SS Sandra Samir	65.5%	93.7	58
41	SA Shiho Akita	65.5%	93.5	29
42	JB Jessica Bertoldo	65.4%	93.4	26
43	LH Luisa Meyer Auf Der Heide	65.4%	93.2	26
44	RL Ruth Roura Llaverias	65.4%	93.1	26
45	CR Camilla Rosatello	65.3%	92.9	49
46	AB Anastasia Bertacchi	65.2%	92.7	23
47	MM Margaux Maquet	65.0%	92.6	20
48	MW Meiling Wang	65.0%	92.4	20
49	LT Lian Tran	64.9%	92.2	37
50	AZ Aurora Zantedeschi	64.7%	92.1	34

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

Lidia Encheva

80.0% of deciding sets won

Average: 51.4%
Std. dev.: 9.2
Leader sits at: 3.1σ
Range: 20.0 … 80.0

620 players

#	Player	Value	Pctl	Sample
1	LE Lidia Encheva	80.0%	100.0	30
2	JG Joanna Garland	76.9%	99.8	26
3	Luisina Giovannini	73.3%	99.7	30
4	AV Arina Gabriela Vasilescu	72.7%	99.5	22
5	Victoria Mboko#12	71.7%	99.4	53
6	DK Daria Khomutsianskaya	71.4%	99.2	28
7	MR Maria Jose Portillo Ramirez	71.4%	99.0	21
8	KN Kayo Nishimura	71.0%	98.9	31
9	JL Jenny Lim	70.8%	98.7	24
10	Kaitlin Quevedo#94	69.6%	98.5	56
11	NM Noemi Maines	69.6%	98.4	23
12	EA Eva Guerrero Alvarez	69.0%	98.2	29
13	Tereza Valentova#67	68.4%	98.1	38
14	AT Alice Tubello	68.2%	97.9	44
15	NS Nina Stojanovic	68.2%	97.7	22
16	CN Clervie Ngounoue	67.9%	97.6	28
17	Darya Astakhova	67.9%	97.4	28
18	EM Ekaterina Maklakova	67.9%	97.3	28
19	VP Varvara Panshina	67.9%	97.1	28
20	MB Marie Benoit	67.7%	96.9	31
21	Alina Korneeva#89	67.6%	96.8	34
22	Elena Micic	67.5%	96.6	40
23	Julie Struplova	67.5%	96.4	40
24	Irene Burillo Escorihuela	66.7%	96.3	51
25	Laura Samson#123	66.7%	96.1	39
26	Lisa Pigato#133	66.7%	96.0	39
27	SI Sayaka Ishii	66.7%	95.8	36
28	AW Anja Wildgruber	66.7%	95.6	33
29	Tyra Caterina Grant	66.7%	95.5	30
30	CS Chantal Sauvant	66.7%	95.3	21
31	EL Evialina Laskevich	66.7%	95.2	21
32	KC Kaat Coppez	66.7%	95.0	21
33	YK Yujin Kim	66.7%	94.8	21
34	Mananchaya Sawangkaew#109	66.0%	94.7	50
35	AS Ana Sofia Sanchez	66.0%	94.5	47
36	JB Julie Belgraver	66.0%	94.3	47
37	Hanyu Guo	65.9%	94.2	41
38	CB Carson Branstine	65.6%	94.0	32
39	RJ Renáta Jamrichová	65.6%	93.9	32
40	SS Sandra Samir	65.5%	93.7	58
41	SA Shiho Akita	65.5%	93.5	29
42	JB Jessica Bertoldo	65.4%	93.4	26
43	LH Luisa Meyer Auf Der Heide	65.4%	93.2	26
44	RL Ruth Roura Llaverias	65.4%	93.1	26
45	CR Camilla Rosatello	65.3%	92.9	49
46	AB Anastasia Bertacchi	65.2%	92.7	23
47	MM Margaux Maquet	65.0%	92.6	20
48	MW Meiling Wang	65.0%	92.4	20
49	LT Lian Tran	64.9%	92.2	37
50	AZ Aurora Zantedeschi	64.7%	92.1	34

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.