Ace rate — full ATP & WTA ranking

Leader

Rebecca Marino

11.6 aces per 100 serve points

678 players

#	Player	Value	Pctl	Sample
1	RM Rebecca Marino	11.6	100.0	67
2	JA Julia Avdeeva	9.8	99.9	71
3	Viktória Hrunčáková	8.6	99.7	94
4	EB Emina Bektas	7.8	99.6	59
5	Martyna Kubka	7.8	99.4	73
6	FL Fangzhou Liu	7.7	99.3	33
7	AR Amelia Rajecki	7.4	99.1	64
8	EA Emily Appleton	7.4	99.0	66
9	YZ Ying Zhang	7.3	98.8	52
10	JP Jessika Ponchet	7.2	98.7	105
11	JB Jodie Burrage	7.1	98.5	41
12	SV Stephanie Judith Visscher	7.0	98.4	79
13	HI Hina Inoue	6.9	98.2	71
14	OD Oceane Dodin	6.8	98.1	42
15	HK Hannah Klugman	6.5	97.9	38
16	MB Mona Barthel	6.5	97.8	90
17	LK Linda Klimovicova	6.3	97.6	76
18	Talia Gibson#74	6.3	97.5	120
19	KK Katarina Kuzmova	6.2	97.3	102
20	SB Shrivalli Rashmikaa Bhamidipaty	6.1	97.2	33
21	Darja Vidmanova#92	6.1	97.0	66
22	AK Ana Konjuh	6.0	96.9	32
23	MS Mika Stojsavljevic	6.0	96.8	44
24	Priscilla Hon	5.9	96.6	89
25	Elsa Jacquemot#101	5.9	96.5	122
26	Victoria Mboko#12	5.8	96.3	96
27	AZ Amy Zhu	5.7	96.2	47
28	Lola Radivojevic	5.7	96.0	82
29	Lois Boisson	5.6	95.9	49
30	KS Katie Swan	5.6	95.7	56
31	GF Gabriella Da Silva Fick	5.5	95.6	39
32	VA Victoria Allen	5.4	95.4	52
33	Kayla Cross	5.4	95.3	62
34	ES Ena Shibahara	5.4	95.1	70
35	Janice Tjen#36	5.3	95.0	102
36	VR Valentina Ryser	5.3	94.8	71
37	Chloe Paquet	5.3	94.7	101
38	AG Alina Granwehr	5.3	94.5	81
39	Kayla Day#131	5.2	94.4	86
40	Lanlana Tararudee#79	5.2	94.2	101
41	DA Destanee Aiava	5.2	94.1	57
42	JB Julie Belgraver	5.1	93.9	77
43	KB Kamilla Bartone	5.1	93.8	35
44	Celine Naef	5.1	93.6	85
45	LH Lucie Havlickova	5.0	93.5	50
46	MX Mingge Xu	5.0	93.4	42
47	MT Mariia Tkacheva	5.0	93.2	36
48	DZ Daria Zelinskaya	5.0	93.1	55
49	KL Ksenia Laskutova	5.0	92.9	35
50	SS Sapfo Sakellaridi	5.0	92.8	100

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

11.6 aces per 100 serve points

678 players

#	Player	Value	Pctl	Sample
1	RM Rebecca Marino	11.6	100.0	67
2	JA Julia Avdeeva	9.8	99.9	71
3	Viktória Hrunčáková	8.6	99.7	94
4	EB Emina Bektas	7.8	99.6	59
5	Martyna Kubka	7.8	99.4	73
6	FL Fangzhou Liu	7.7	99.3	33
7	AR Amelia Rajecki	7.4	99.1	64
8	EA Emily Appleton	7.4	99.0	66
9	YZ Ying Zhang	7.3	98.8	52
10	JP Jessika Ponchet	7.2	98.7	105
11	JB Jodie Burrage	7.1	98.5	41
12	SV Stephanie Judith Visscher	7.0	98.4	79
13	HI Hina Inoue	6.9	98.2	71
14	OD Oceane Dodin	6.8	98.1	42
15	HK Hannah Klugman	6.5	97.9	38
16	MB Mona Barthel	6.5	97.8	90
17	LK Linda Klimovicova	6.3	97.6	76
18	Talia Gibson#74	6.3	97.5	120
19	KK Katarina Kuzmova	6.2	97.3	102
20	SB Shrivalli Rashmikaa Bhamidipaty	6.1	97.2	33
21	Darja Vidmanova#92	6.1	97.0	66
22	AK Ana Konjuh	6.0	96.9	32
23	MS Mika Stojsavljevic	6.0	96.8	44
24	Priscilla Hon	5.9	96.6	89
25	Elsa Jacquemot#101	5.9	96.5	122
26	Victoria Mboko#12	5.8	96.3	96
27	AZ Amy Zhu	5.7	96.2	47
28	Lola Radivojevic	5.7	96.0	82
29	Lois Boisson	5.6	95.9	49
30	KS Katie Swan	5.6	95.7	56
31	GF Gabriella Da Silva Fick	5.5	95.6	39
32	VA Victoria Allen	5.4	95.4	52
33	Kayla Cross	5.4	95.3	62
34	ES Ena Shibahara	5.4	95.1	70
35	Janice Tjen#36	5.3	95.0	102
36	VR Valentina Ryser	5.3	94.8	71
37	Chloe Paquet	5.3	94.7	101
38	AG Alina Granwehr	5.3	94.5	81
39	Kayla Day#131	5.2	94.4	86
40	Lanlana Tararudee#79	5.2	94.2	101
41	DA Destanee Aiava	5.2	94.1	57
42	JB Julie Belgraver	5.1	93.9	77
43	KB Kamilla Bartone	5.1	93.8	35
44	Celine Naef	5.1	93.6	85
45	LH Lucie Havlickova	5.0	93.5	50
46	MX Mingge Xu	5.0	93.4	42
47	MT Mariia Tkacheva	5.0	93.2	36
48	DZ Daria Zelinskaya	5.0	93.1	55
49	KL Ksenia Laskutova	5.0	92.9	35
50	SS Sapfo Sakellaridi	5.0	92.8	100

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.