Break points converted — full ATP & WTA ranking

Leader

Kei Nishikori

46.6% of break points converted

Average: 39.3%
Std. dev.: 3.3
Leader sits at: 2.2σ
Range: 30.0 … 46.6

121 players

#	Player	Value	Pctl	Sample
1	KN Kei Nishikori	46.6%	100.0	43
2	Sebastian Baez#48	44.8%	99.2	75
3	Zachary Svajda#87	44.7%	98.3	138
4	Learner Tien#19	44.5%	97.5	137
5	Damir Dzumhur#104	44.5%	96.7	152
6	Tomas Machac#58	44.4%	95.8	61
7	Vit Kopriva#71	44.2%	95.0	156
8	Mariano Navone#44	44.2%	94.2	114
9	Carlos Alcaraz#2	44.0%	93.3	102
10	Alejandro Davidovich Fokina#25	43.9%	92.5	88
11	MM Maximilian Marterer	43.9%	91.7	38
12	Camilo Ugo Carabelli#76	43.9%	90.8	161
13	Jannik Sinner#1	43.9%	90.0	98
14	Jacob Fearnley#110	43.5%	89.2	110
15	Francisco Cerundolo#23	43.3%	88.3	89
16	Denis Shapovalov#43	43.0%	87.5	72
17	Wu Yibing#116	43.0%	86.7	67
18	Juncheng Shang	43.0%	85.8	41
19	Mackenzie McDonald#144	43.0%	85.0	118
20	Tommy Paul#21	42.9%	84.2	73
21	GZ Giulio Zeppieri	42.9%	83.3	99
22	Alex de Minaur#7	42.7%	82.5	103
23	HR Holger Rune#99	42.6%	81.7	49
24	FF Fabio Fognini	42.6%	80.8	54
25	YN Yoshihito Nishioka	42.3%	80.0	57
26	RG Richard Gasquet	42.1%	79.2	60
27	Jaume Munar#45	41.9%	78.3	93
28	SERNovak Djokovic#5	41.8%	77.5	58
29	Cristian Garin#136	41.8%	76.7	112
30	Hugo Gaston#96	41.6%	75.8	110
31	Rinky Hijikata#93	41.5%	75.0	126
32	Benjamin Bonzi#103	41.3%	74.2	142
33	Jakub Mensik#17	41.2%	73.3	101
34	Valentin Vacherot#18	41.1%	72.5	127
35	CO Christopher Oconnell	41.1%	71.7	80
36	DE Daniel Evans	41.0%	70.8	60
37	Corentin Moutet#59	40.9%	70.0	109
38	Alexander Zverev#3	40.8%	69.2	113
39	Botic Van De Zandschulp#70	40.7%	68.3	98
40	Jesper de Jong#105	40.7%	67.5	146
41	Alejandro Tabilo#26	40.7%	66.7	91
42	LD Laslo Djere	40.5%	65.8	75
43	Casper Ruud#14	40.5%	65.0	79
44	Alexander Bublik#11	40.4%	64.2	98
45	AV Andrea Vavassori	40.4%	63.3	47
46	Frances Tiafoe#20	40.2%	62.5	75
47	Luciano Darderi#22	40.1%	61.7	113
48	Francisco Comesana#107	40.0%	60.8	132
49	Luca Nardi	40.0%	60.0	117
50	Pablo Carreno Busta#68	40.0%	59.2	94

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

Kei Nishikori

46.6% of break points converted

Average: 39.3%
Std. dev.: 3.3
Leader sits at: 2.2σ
Range: 30.0 … 46.6

121 players

#	Player	Value	Pctl	Sample
1	KN Kei Nishikori	46.6%	100.0	43
2	Sebastian Baez#48	44.8%	99.2	75
3	Zachary Svajda#87	44.7%	98.3	138
4	Learner Tien#19	44.5%	97.5	137
5	Damir Dzumhur#104	44.5%	96.7	152
6	Tomas Machac#58	44.4%	95.8	61
7	Vit Kopriva#71	44.2%	95.0	156
8	Mariano Navone#44	44.2%	94.2	114
9	Carlos Alcaraz#2	44.0%	93.3	102
10	Alejandro Davidovich Fokina#25	43.9%	92.5	88
11	MM Maximilian Marterer	43.9%	91.7	38
12	Camilo Ugo Carabelli#76	43.9%	90.8	161
13	Jannik Sinner#1	43.9%	90.0	98
14	Jacob Fearnley#110	43.5%	89.2	110
15	Francisco Cerundolo#23	43.3%	88.3	89
16	Denis Shapovalov#43	43.0%	87.5	72
17	Wu Yibing#116	43.0%	86.7	67
18	Juncheng Shang	43.0%	85.8	41
19	Mackenzie McDonald#144	43.0%	85.0	118
20	Tommy Paul#21	42.9%	84.2	73
21	GZ Giulio Zeppieri	42.9%	83.3	99
22	Alex de Minaur#7	42.7%	82.5	103
23	HR Holger Rune#99	42.6%	81.7	49
24	FF Fabio Fognini	42.6%	80.8	54
25	YN Yoshihito Nishioka	42.3%	80.0	57
26	RG Richard Gasquet	42.1%	79.2	60
27	Jaume Munar#45	41.9%	78.3	93
28	SERNovak Djokovic#5	41.8%	77.5	58
29	Cristian Garin#136	41.8%	76.7	112
30	Hugo Gaston#96	41.6%	75.8	110
31	Rinky Hijikata#93	41.5%	75.0	126
32	Benjamin Bonzi#103	41.3%	74.2	142
33	Jakub Mensik#17	41.2%	73.3	101
34	Valentin Vacherot#18	41.1%	72.5	127
35	CO Christopher Oconnell	41.1%	71.7	80
36	DE Daniel Evans	41.0%	70.8	60
37	Corentin Moutet#59	40.9%	70.0	109
38	Alexander Zverev#3	40.8%	69.2	113
39	Botic Van De Zandschulp#70	40.7%	68.3	98
40	Jesper de Jong#105	40.7%	67.5	146
41	Alejandro Tabilo#26	40.7%	66.7	91
42	LD Laslo Djere	40.5%	65.8	75
43	Casper Ruud#14	40.5%	65.0	79
44	Alexander Bublik#11	40.4%	64.2	98
45	AV Andrea Vavassori	40.4%	63.3	47
46	Frances Tiafoe#20	40.2%	62.5	75
47	Luciano Darderi#22	40.1%	61.7	113
48	Francisco Comesana#107	40.0%	60.8	132
49	Luca Nardi	40.0%	60.0	117
50	Pablo Carreno Busta#68	40.0%	59.2	94

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.