Bagels handed out — full ATP & WTA ranking

Leader

Dragos Nicolae Madaras

46.9% of the sets they win are 6-0

Average: 16.9%
Std. dev.: 5.7
Leader sits at: 5.3σ
Range: 0.0 … 46.9

1250 players

#	Player	Value	Pctl	Sample
1	DM Dragos Nicolae Madaras	46.9%	100.0	36
2	George Lazarov	41.2%	99.9	37
3	AS Amador Salazar	37.9%	99.8	39
4	NB Niccolo Baroni	37.1%	99.8	32
5	NT Naoki Tajima	35.3%	99.7	50
6	SS Simeon Stankovic	35.0%	99.6	36
7	EC Ezekiel Clark	33.7%	99.5	95
8	Toufik Sahtali	32.7%	99.4	83
9	GT Gian Luca Tanner	32.6%	99.4	35
10	LG Lorenzo Gagliardo	32.6%	99.3	34
11	AB Arthur Bonnaud	32.5%	99.2	49
12	ZS Ziga Sesko	32.3%	99.1	31
13	JC Joaquin Aguilar Cardozo	31.5%	99.0	99
14	VI Volodymyr Iakubenko	31.4%	99.0	35
15	JE Juan Estevez	31.4%	98.9	151
16	CC Charles Chen	30.8%	98.8	43
17	JI Johannes Ingildsen	30.8%	98.7	31
18	OG Oscar Jose Gutierrez	30.7%	98.6	109
19	Radu Mihai Papoe	30.7%	98.6	93
20	Carles Cordoba	30.3%	98.5	43
21	MM Mihai Razvan Marinescu	30.2%	98.4	93
22	JE John Echeverria	30.1%	98.3	112
23	LV Luis Carlos Alvarez Valdes	30.0%	98.2	39
24	OT Oliver Tarvet	29.9%	98.2	50
25	JA Jack Anthrop	29.6%	98.1	39
26	Daniel Siniakov	29.3%	98.0	63
27	IB Isaac Becroft	29.0%	97.9	64
28	YK Yuta Kawahashi	29.0%	97.8	85
29	YJ Yunseok Jang	28.9%	97.8	38
30	LS Luca Staeheli	28.8%	97.7	79
31	Dominik Kellovsky	28.6%	97.6	144
32	Liam Broady	28.6%	97.5	170
33	DK Denys Klok	28.5%	97.4	123
34	Daniil Ostapenkov	28.4%	97.4	92
35	NB Nikita Bilozertsev	28.3%	97.3	39
36	YD Yassine Dlimi	28.2%	97.2	52
37	PP Peter Benjamin Privara	28.1%	97.1	35
38	JO Juan Bautista Otegui	28.0%	97.0	72
39	SC Sergi Perez Contri	28.0%	97.0	151
40	PB Peter Buldorini	27.7%	96.9	83
41	KL Kuan Yi Lee	27.7%	96.8	78
42	JM Juan Cruz Martin Manzano	27.6%	96.7	103
43	GJ Gilbert Soares Klier Junior	27.6%	96.6	30
44	VB Viacheslav Bielinskyi	27.4%	96.6	125
45	AP Andrea Picchione	27.3%	96.5	128
46	AM Anas Mazdrashki	27.3%	96.4	45
47	Hernan Casanova	27.1%	96.3	121
48	Guido Ivan Justo	27.1%	96.2	177
49	TC Tiago Cacao	27.0%	96.2	34
50	Michele Ribecai	26.9%	96.1	155

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.
The denominator is sets, not matches. It is 6-0 sets over sets WON, so it does not reward whoever plays more. The minimum is applied to matches with a recorded score, because the count of sets won is not stored as its own column.
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

Dragos Nicolae Madaras

46.9% of the sets they win are 6-0

Average: 16.9%
Std. dev.: 5.7
Leader sits at: 5.3σ
Range: 0.0 … 46.9

1250 players

#	Player	Value	Pctl	Sample
1	DM Dragos Nicolae Madaras	46.9%	100.0	36
2	George Lazarov	41.2%	99.9	37
3	AS Amador Salazar	37.9%	99.8	39
4	NB Niccolo Baroni	37.1%	99.8	32
5	NT Naoki Tajima	35.3%	99.7	50
6	SS Simeon Stankovic	35.0%	99.6	36
7	EC Ezekiel Clark	33.7%	99.5	95
8	Toufik Sahtali	32.7%	99.4	83
9	GT Gian Luca Tanner	32.6%	99.4	35
10	LG Lorenzo Gagliardo	32.6%	99.3	34
11	AB Arthur Bonnaud	32.5%	99.2	49
12	ZS Ziga Sesko	32.3%	99.1	31
13	JC Joaquin Aguilar Cardozo	31.5%	99.0	99
14	VI Volodymyr Iakubenko	31.4%	99.0	35
15	JE Juan Estevez	31.4%	98.9	151
16	CC Charles Chen	30.8%	98.8	43
17	JI Johannes Ingildsen	30.8%	98.7	31
18	OG Oscar Jose Gutierrez	30.7%	98.6	109
19	Radu Mihai Papoe	30.7%	98.6	93
20	Carles Cordoba	30.3%	98.5	43
21	MM Mihai Razvan Marinescu	30.2%	98.4	93
22	JE John Echeverria	30.1%	98.3	112
23	LV Luis Carlos Alvarez Valdes	30.0%	98.2	39
24	OT Oliver Tarvet	29.9%	98.2	50
25	JA Jack Anthrop	29.6%	98.1	39
26	Daniel Siniakov	29.3%	98.0	63
27	IB Isaac Becroft	29.0%	97.9	64
28	YK Yuta Kawahashi	29.0%	97.8	85
29	YJ Yunseok Jang	28.9%	97.8	38
30	LS Luca Staeheli	28.8%	97.7	79
31	Dominik Kellovsky	28.6%	97.6	144
32	Liam Broady	28.6%	97.5	170
33	DK Denys Klok	28.5%	97.4	123
34	Daniil Ostapenkov	28.4%	97.4	92
35	NB Nikita Bilozertsev	28.3%	97.3	39
36	YD Yassine Dlimi	28.2%	97.2	52
37	PP Peter Benjamin Privara	28.1%	97.1	35
38	JO Juan Bautista Otegui	28.0%	97.0	72
39	SC Sergi Perez Contri	28.0%	97.0	151
40	PB Peter Buldorini	27.7%	96.9	83
41	KL Kuan Yi Lee	27.7%	96.8	78
42	JM Juan Cruz Martin Manzano	27.6%	96.7	103
43	GJ Gilbert Soares Klier Junior	27.6%	96.6	30
44	VB Viacheslav Bielinskyi	27.4%	96.6	125
45	AP Andrea Picchione	27.3%	96.5	128
46	AM Anas Mazdrashki	27.3%	96.4	45
47	Hernan Casanova	27.1%	96.3	121
48	Guido Ivan Justo	27.1%	96.2	177
49	TC Tiago Cacao	27.0%	96.2	34
50	Michele Ribecai	26.9%	96.1	155

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.
The denominator is sets, not matches. It is 6-0 sets over sets WON, so it does not reward whoever plays more. The minimum is applied to matches with a recorded score, because the count of sets won is not stored as its own column.
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.