Set margin — full ATP & WTA ranking

Leader

Jannik Sinner

1.82 games per set

Average: 0.21
Std. dev.: 0.42
Leader sits at: 3.8σ
Range: -0.54 … 1.82

132 players

#	Player	Value	Pctl	Sample
1	Jannik Sinner#1	1.82	100.0	348
2	SERNovak Djokovic#5	1.65	99.2	245
3	Carlos Alcaraz#2	1.62	98.5	330
4	Daniil Medvedev#6	1.17	97.7	341
5	RN Rafael Nadal	1.12	96.9	70
6	Alexander Zverev#3	1.07	96.2	371
7	Jack Draper#143	0.92	95.4	167
8	Alex de Minaur#7	0.88	94.7	349
9	Taylor Fritz#8	0.87	93.9	353
10	Casper Ruud#14	0.84	93.1	329
11	Stefanos Tsitsipas#53	0.77	92.4	314
12	NK Nick Kyrgios	0.76	91.6	57
13	Learner Tien#19	0.76	90.8	189
14	Tommy Paul#21	0.73	90.1	306
15	Andrey Rublev#16	0.73	89.3	340
16	Valentin Vacherot#18	0.72	88.5	151
17	Grigor Dimitrov#137	0.71	87.8	230
18	Felix Auger-Aliassime#4	0.67	87.0	114
19	Hubert Hurkacz#72	0.63	86.3	270
20	Joao Fonseca#27	0.60	85.5	150
21	Matteo Berrettini#40	0.60	84.7	192
22	SK Sebastian Korda#50	0.56	84.0	219
23	Jacob Fearnley#110	0.54	83.2	142
24	GZ Giulio Zeppieri	0.49	82.4	117
25	HR Holger Rune#99	0.49	81.7	250
26	Pablo Carreno Busta#68	0.49	80.9	206
27	Arthur Cazaux#138	0.47	80.2	116
28	Jakub Mensik#17	0.46	79.4	174
29	Jesper de Jong#105	0.46	78.6	177
30	Cameron Norrie#37	0.45	77.9	308
31	Karen Khachanov#39	0.45	77.1	275
32	Arthur Fils#24	0.45	76.3	171
33	Mariano Navone#44	0.44	75.6	177
34	Francisco Cerundolo#23	0.44	74.8	278
35	Brandon Nakashima#31	0.42	74.0	301
36	GM Gael Monfils	0.40	73.3	150
37	Ben Shelton#10	0.37	72.5	231
38	Marin Cilic#85	0.37	71.8	170
39	Lorenzo Musetti#13	0.36	71.0	296
40	Wu Yibing#116	0.34	70.2	112
41	SERHamad Medjedovic#73	0.34	69.5	152
42	Tomas Machac#58	0.34	68.7	145
43	Denis Shapovalov#43	0.33	67.9	233
44	Frances Tiafoe#20	0.33	67.2	294
45	Alejandro Tabilo#26	0.33	66.4	214
46	Bu Yunchaokete#118	0.32	65.6	156
47	Gabriel Diallo#108	0.32	64.9	173
48	Zachary Svajda#87	0.32	64.1	181
49	Ugo Humbert#28	0.32	63.4	236
50	Luciano Darderi#22	0.31	62.6	188

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

1.82 games per set

Average: 0.21
Std. dev.: 0.42
Leader sits at: 3.8σ
Range: -0.54 … 1.82

132 players

#	Player	Value	Pctl	Sample
1	Jannik Sinner#1	1.82	100.0	348
2	SERNovak Djokovic#5	1.65	99.2	245
3	Carlos Alcaraz#2	1.62	98.5	330
4	Daniil Medvedev#6	1.17	97.7	341
5	RN Rafael Nadal	1.12	96.9	70
6	Alexander Zverev#3	1.07	96.2	371
7	Jack Draper#143	0.92	95.4	167
8	Alex de Minaur#7	0.88	94.7	349
9	Taylor Fritz#8	0.87	93.9	353
10	Casper Ruud#14	0.84	93.1	329
11	Stefanos Tsitsipas#53	0.77	92.4	314
12	NK Nick Kyrgios	0.76	91.6	57
13	Learner Tien#19	0.76	90.8	189
14	Tommy Paul#21	0.73	90.1	306
15	Andrey Rublev#16	0.73	89.3	340
16	Valentin Vacherot#18	0.72	88.5	151
17	Grigor Dimitrov#137	0.71	87.8	230
18	Felix Auger-Aliassime#4	0.67	87.0	114
19	Hubert Hurkacz#72	0.63	86.3	270
20	Joao Fonseca#27	0.60	85.5	150
21	Matteo Berrettini#40	0.60	84.7	192
22	SK Sebastian Korda#50	0.56	84.0	219
23	Jacob Fearnley#110	0.54	83.2	142
24	GZ Giulio Zeppieri	0.49	82.4	117
25	HR Holger Rune#99	0.49	81.7	250
26	Pablo Carreno Busta#68	0.49	80.9	206
27	Arthur Cazaux#138	0.47	80.2	116
28	Jakub Mensik#17	0.46	79.4	174
29	Jesper de Jong#105	0.46	78.6	177
30	Cameron Norrie#37	0.45	77.9	308
31	Karen Khachanov#39	0.45	77.1	275
32	Arthur Fils#24	0.45	76.3	171
33	Mariano Navone#44	0.44	75.6	177
34	Francisco Cerundolo#23	0.44	74.8	278
35	Brandon Nakashima#31	0.42	74.0	301
36	GM Gael Monfils	0.40	73.3	150
37	Ben Shelton#10	0.37	72.5	231
38	Marin Cilic#85	0.37	71.8	170
39	Lorenzo Musetti#13	0.36	71.0	296
40	Wu Yibing#116	0.34	70.2	112
41	SERHamad Medjedovic#73	0.34	69.5	152
42	Tomas Machac#58	0.34	68.7	145
43	Denis Shapovalov#43	0.33	67.9	233
44	Frances Tiafoe#20	0.33	67.2	294
45	Alejandro Tabilo#26	0.33	66.4	214
46	Bu Yunchaokete#118	0.32	65.6	156
47	Gabriel Diallo#108	0.32	64.9	173
48	Zachary Svajda#87	0.32	64.1	181
49	Ugo Humbert#28	0.32	63.4	236
50	Luciano Darderi#22	0.31	62.6	188

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.