Win percentage — full ATP & WTA ranking

Leader

Jannik Sinner

86.5% of matches won

Average: 54.9%
Std. dev.: 8.6
Leader sits at: 3.7σ
Range: 40.0 … 86.5

132 players

#	Player	Value	Pctl	Sample
1	Jannik Sinner#1	86.5%	100.0	348
2	Carlos Alcaraz#2	84.2%	99.2	330
3	SERNovak Djokovic#5	82.9%	98.5	245
4	Alexander Zverev#3	73.6%	97.7	371
5	RN Rafael Nadal	72.9%	96.9	70
6	Daniil Medvedev#6	72.4%	96.2	341
7	Learner Tien#19	70.4%	95.4	189
8	Taylor Fritz#8	68.8%	94.7	353
9	Casper Ruud#14	67.8%	93.9	329
10	Felix Auger-Aliassime#4	67.5%	93.1	114
11	Matteo Berrettini#40	67.2%	92.4	192
12	NK Nick Kyrgios	66.7%	91.6	57
13	Jack Draper#143	66.5%	90.8	167
14	Stefanos Tsitsipas#53	65.6%	90.1	314
15	Alex de Minaur#7	65.3%	89.3	349
16	Andrey Rublev#16	65.0%	88.5	340
17	Jakub Mensik#17	64.9%	87.8	174
18	Valentin Vacherot#18	64.9%	87.0	151
19	Grigor Dimitrov#137	64.8%	86.3	230
20	Tommy Paul#21	64.7%	85.5	306
21	HR Holger Rune#99	64.0%	84.7	250
22	Hubert Hurkacz#72	63.7%	84.0	270
23	Jacob Fearnley#110	63.4%	83.2	142
24	Joao Fonseca#27	63.3%	82.4	150
25	Arthur Fils#24	62.0%	81.7	171
26	SK Sebastian Korda#50	61.6%	80.9	219
27	Wu Yibing#116	61.6%	80.2	112
28	Tomas Machac#58	60.7%	79.4	145
29	Ben Shelton#10	60.6%	78.6	231
30	Frances Tiafoe#20	60.2%	77.9	294
31	KN Kei Nishikori	59.5%	77.1	74
32	SERHamad Medjedovic#73	59.2%	76.3	152
33	Camilo Ugo Carabelli#76	59.0%	75.6	188
34	Lorenzo Musetti#13	58.8%	74.8	296
35	Cameron Norrie#37	58.8%	74.0	308
36	Karen Khachanov#39	58.5%	73.3	275
37	Jiri Lehecka#12	58.5%	72.5	236
38	GZ Giulio Zeppieri	58.1%	71.8	117
39	GM Gael Monfils	58.0%	71.0	150
40	Francisco Cerundolo#23	57.9%	70.2	278
41	TK Thanasi Kokkinakis	57.9%	69.5	133
42	Flavio Cobolli#9	57.3%	68.7	199
43	Luciano Darderi#22	56.9%	67.9	188
44	Arthur Cazaux#138	56.9%	67.2	116
45	Brandon Nakashima#31	56.8%	66.4	301
46	Pablo Carreno Busta#68	56.8%	65.6	206
47	Alejandro Tabilo#26	56.5%	64.9	214
48	Gabriel Diallo#108	56.1%	64.1	173
49	Alexander Bublik#11	55.8%	63.4	285
50	Alex Michelsen#42	55.4%	62.6	195

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

Jannik Sinner

86.5% of matches won

Average: 54.9%
Std. dev.: 8.6
Leader sits at: 3.7σ
Range: 40.0 … 86.5

132 players

#	Player	Value	Pctl	Sample
1	Jannik Sinner#1	86.5%	100.0	348
2	Carlos Alcaraz#2	84.2%	99.2	330
3	SERNovak Djokovic#5	82.9%	98.5	245
4	Alexander Zverev#3	73.6%	97.7	371
5	RN Rafael Nadal	72.9%	96.9	70
6	Daniil Medvedev#6	72.4%	96.2	341
7	Learner Tien#19	70.4%	95.4	189
8	Taylor Fritz#8	68.8%	94.7	353
9	Casper Ruud#14	67.8%	93.9	329
10	Felix Auger-Aliassime#4	67.5%	93.1	114
11	Matteo Berrettini#40	67.2%	92.4	192
12	NK Nick Kyrgios	66.7%	91.6	57
13	Jack Draper#143	66.5%	90.8	167
14	Stefanos Tsitsipas#53	65.6%	90.1	314
15	Alex de Minaur#7	65.3%	89.3	349
16	Andrey Rublev#16	65.0%	88.5	340
17	Jakub Mensik#17	64.9%	87.8	174
18	Valentin Vacherot#18	64.9%	87.0	151
19	Grigor Dimitrov#137	64.8%	86.3	230
20	Tommy Paul#21	64.7%	85.5	306
21	HR Holger Rune#99	64.0%	84.7	250
22	Hubert Hurkacz#72	63.7%	84.0	270
23	Jacob Fearnley#110	63.4%	83.2	142
24	Joao Fonseca#27	63.3%	82.4	150
25	Arthur Fils#24	62.0%	81.7	171
26	SK Sebastian Korda#50	61.6%	80.9	219
27	Wu Yibing#116	61.6%	80.2	112
28	Tomas Machac#58	60.7%	79.4	145
29	Ben Shelton#10	60.6%	78.6	231
30	Frances Tiafoe#20	60.2%	77.9	294
31	KN Kei Nishikori	59.5%	77.1	74
32	SERHamad Medjedovic#73	59.2%	76.3	152
33	Camilo Ugo Carabelli#76	59.0%	75.6	188
34	Lorenzo Musetti#13	58.8%	74.8	296
35	Cameron Norrie#37	58.8%	74.0	308
36	Karen Khachanov#39	58.5%	73.3	275
37	Jiri Lehecka#12	58.5%	72.5	236
38	GZ Giulio Zeppieri	58.1%	71.8	117
39	GM Gael Monfils	58.0%	71.0	150
40	Francisco Cerundolo#23	57.9%	70.2	278
41	TK Thanasi Kokkinakis	57.9%	69.5	133
42	Flavio Cobolli#9	57.3%	68.7	199
43	Luciano Darderi#22	56.9%	67.9	188
44	Arthur Cazaux#138	56.9%	67.2	116
45	Brandon Nakashima#31	56.8%	66.4	301
46	Pablo Carreno Busta#68	56.8%	65.6	206
47	Alejandro Tabilo#26	56.5%	64.9	214
48	Gabriel Diallo#108	56.1%	64.1	173
49	Alexander Bublik#11	55.8%	63.4	285
50	Alex Michelsen#42	55.4%	62.6	195

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.