Break points saved — full ATP & WTA ranking

Leader

Elena Rybakina

65.4% of break points saved

Average: 55.8%
Std. dev.: 3.1
Leader sits at: 3.1σ
Range: 49.1 … 65.4

123 players

#	Player	Value	Pctl	Sample
1	Elena Rybakina#2	65.4%	100.0	111
2	Aryna Sabalenka#1	65.0%	99.2	104
3	Taylor Townsend#110	64.7%	98.4	64
4	Marta Kostyuk#11	62.5%	97.5	64
5	Elina Svitolina#9	62.3%	96.7	82
6	Mirra Andreeva#5	60.5%	95.9	93
7	Karolina Muchova#6	60.5%	95.1	66
8	Dalma Galfi	60.3%	94.3	112
9	Belinda Bencic#14	59.9%	93.4	75
10	Jessica Pegula#3	59.7%	92.6	105
11	Hailey Baptiste#32	59.6%	91.8	111
12	Leylah Fernandez#34	59.5%	91.0	81
13	Robin Montgomery	59.3%	90.2	59
14	OD Olga Danilovic	59.3%	89.3	75
15	Diana Shnaider#17	59.3%	88.5	91
16	Elise Mertens#24	59.3%	87.7	76
17	Rebeka Masarova	59.3%	86.9	104
18	Lulu Sun#117	59.2%	86.1	86
19	Amanda Anisimova#10	59.1%	85.2	86
20	PM Petra Martic	59.0%	84.4	39
21	Clara Tauson#30	58.9%	83.6	95
22	Anna Bondar#78	58.9%	82.8	120
23	Naomi Osaka#13	58.8%	82.0	62
24	Danielle Collins	58.8%	81.1	33
25	Iva Jovic#16	58.7%	80.3	87
26	Madison Keys#23	58.5%	79.5	70
27	Linda Noskova#7	58.4%	78.7	87
28	Emma Raducanu#49	58.3%	77.9	61
29	BP Bernarda Pera	58.1%	77.0	65
30	Ekaterina Alexandrova#19	58.1%	76.2	91
31	Caroline Dolehide	58.0%	75.4	64
32	Katerina Siniakova#37	58.0%	74.6	84
33	Iga Swiatek#8	57.9%	73.8	99
34	Anhelina Kalinina#54	57.6%	73.0	68
35	Katie Volynets#91	57.5%	72.1	127
36	GM Greet Minnen	57.3%	71.3	91
37	Kamilla Rakhimova#83	56.9%	70.5	128
38	Marie Bouzkova#25	56.9%	69.7	72
39	Anastasia Potapova#27	56.9%	68.9	70
40	Diane Parry#64	56.8%	68.0	70
41	Ann Li#31	56.7%	67.2	105
42	Jaqueline Cristian#39	56.7%	66.4	98
43	Elisabetta Cocciaretto#59	56.6%	65.6	93
44	XW Xin Yu Wang	56.4%	64.8	76
45	Liudmila Samsonova#55	56.4%	63.9	72
46	Wang Xinyu#41	56.3%	63.1	60
47	Nao Hibino	56.3%	62.3	106
48	Paula Badosa#84	56.3%	61.5	47
49	Donna Vekic#35	56.2%	60.7	61
50	Peyton Stearns#57	56.2%	59.8	73

How this is calculated

Minimum 30 matches with serve statistics. 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. Every match since 2024 — that is where serve statistics begin in this database; before that there are none.
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

Elena Rybakina

65.4% of break points saved

Average: 55.8%
Std. dev.: 3.1
Leader sits at: 3.1σ
Range: 49.1 … 65.4

123 players

#	Player	Value	Pctl	Sample
1	Elena Rybakina#2	65.4%	100.0	111
2	Aryna Sabalenka#1	65.0%	99.2	104
3	Taylor Townsend#110	64.7%	98.4	64
4	Marta Kostyuk#11	62.5%	97.5	64
5	Elina Svitolina#9	62.3%	96.7	82
6	Mirra Andreeva#5	60.5%	95.9	93
7	Karolina Muchova#6	60.5%	95.1	66
8	Dalma Galfi	60.3%	94.3	112
9	Belinda Bencic#14	59.9%	93.4	75
10	Jessica Pegula#3	59.7%	92.6	105
11	Hailey Baptiste#32	59.6%	91.8	111
12	Leylah Fernandez#34	59.5%	91.0	81
13	Robin Montgomery	59.3%	90.2	59
14	OD Olga Danilovic	59.3%	89.3	75
15	Diana Shnaider#17	59.3%	88.5	91
16	Elise Mertens#24	59.3%	87.7	76
17	Rebeka Masarova	59.3%	86.9	104
18	Lulu Sun#117	59.2%	86.1	86
19	Amanda Anisimova#10	59.1%	85.2	86
20	PM Petra Martic	59.0%	84.4	39
21	Clara Tauson#30	58.9%	83.6	95
22	Anna Bondar#78	58.9%	82.8	120
23	Naomi Osaka#13	58.8%	82.0	62
24	Danielle Collins	58.8%	81.1	33
25	Iva Jovic#16	58.7%	80.3	87
26	Madison Keys#23	58.5%	79.5	70
27	Linda Noskova#7	58.4%	78.7	87
28	Emma Raducanu#49	58.3%	77.9	61
29	BP Bernarda Pera	58.1%	77.0	65
30	Ekaterina Alexandrova#19	58.1%	76.2	91
31	Caroline Dolehide	58.0%	75.4	64
32	Katerina Siniakova#37	58.0%	74.6	84
33	Iga Swiatek#8	57.9%	73.8	99
34	Anhelina Kalinina#54	57.6%	73.0	68
35	Katie Volynets#91	57.5%	72.1	127
36	GM Greet Minnen	57.3%	71.3	91
37	Kamilla Rakhimova#83	56.9%	70.5	128
38	Marie Bouzkova#25	56.9%	69.7	72
39	Anastasia Potapova#27	56.9%	68.9	70
40	Diane Parry#64	56.8%	68.0	70
41	Ann Li#31	56.7%	67.2	105
42	Jaqueline Cristian#39	56.7%	66.4	98
43	Elisabetta Cocciaretto#59	56.6%	65.6	93
44	XW Xin Yu Wang	56.4%	64.8	76
45	Liudmila Samsonova#55	56.4%	63.9	72
46	Wang Xinyu#41	56.3%	63.1	60
47	Nao Hibino	56.3%	62.3	106
48	Paula Badosa#84	56.3%	61.5	47
49	Donna Vekic#35	56.2%	60.7	61
50	Peyton Stearns#57	56.2%	59.8	73

How this is calculated

Minimum 30 matches with serve statistics. 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. Every match since 2024 — that is where serve statistics begin in this database; before that there are none.
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.