2nd serve points won — full ATP & WTA ranking

Leader

Joanna Garland

52.1% of second-serve points won

Average: 44.4%
Std. dev.: 2.8
Leader sits at: 2.8σ
Range: 35.8 … 52.1

678 players

#	Player	Value	Pctl	Sample
1	JG Joanna Garland	52.1%	100.0	61
2	VY Valeriya Yushchenko	51.8%	99.9	39
3	Luisina Giovannini	51.7%	99.7	75
4	MM Misaki Matsuda	51.0%	99.6	51
5	POCCarol Young Suh Lee	51.0%	99.4	99
6	AB Alexis Blokhina	50.9%	99.3	35
7	Janice Tjen#36	50.6%	99.1	102
8	Martyna Kubka	50.4%	99.0	73
9	AT Anca Alexia Todoni	50.4%	98.8	67
10	Maja Chwalinska#22	50.4%	98.7	89
11	EV Eva Marie Voracek	50.3%	98.5	74
12	AK Adithya Karunaratne	50.2%	98.4	38
13	Darja Vidmanova#92	50.0%	98.2	66
14	DZ Daria Zelinskaya	49.9%	98.1	55
15	KK Kristina Kroitor	49.8%	97.9	61
16	TP Thaisa Grana Pedretti	49.7%	97.8	42
17	YH Yujia Huang	49.6%	97.6	41
18	KD Kristina Dmitruk	49.6%	97.5	42
19	AL Alicia Herrero Linana	49.6%	97.3	69
20	JS Joelle Lilly Sophie Steur	49.6%	97.2	66
21	EA Eva Guerrero Alvarez	49.5%	97.0	76
22	Veronika Erjavec#104	49.4%	96.9	112
23	FL Fangzhou Liu	49.2%	96.8	33
24	VA Victoria Allen	49.0%	96.6	52
25	Katherine Sebov	49.0%	96.5	78
26	LH Laura Hietaranta	48.9%	96.3	65
27	TK Tahlia Kokkinis	48.9%	96.2	42
28	AM Amandine Monnot	48.8%	96.0	70
29	Hayu Kinoshita	48.8%	95.9	78
30	DI Dasha Ivanova	48.8%	95.7	59
31	VB Victoria Bosio	48.8%	95.6	72
32	Mia Ristic	48.6%	95.4	80
33	VM Victoria Milovanova	48.6%	95.3	50
34	Himeno Sakatsume#135	48.6%	95.1	94
35	Panna Udvardy#76	48.6%	95.0	131
36	AA Ayana Akli	48.5%	94.8	74
37	Hanyu Guo	48.5%	94.7	73
38	PK Punnin Kovapitukted	48.5%	94.5	34
39	JK Jana Kovackova	48.5%	94.4	42
40	Fangran Tian	48.5%	94.2	66
41	IA Ilinca Dalina Amariei	48.4%	94.1	53
42	LA Lucciana Perez Alarcon	48.4%	93.9	32
43	HT Harmony Tan	48.4%	93.8	98
44	MC Maria Garcia Cid	48.3%	93.6	34
45	Elizara Yaneva	48.3%	93.5	64
46	MG Meiqi Guo	48.3%	93.4	77
47	CH Caijsa Wilda Hennemann	48.3%	93.2	52
48	TS Tina Nadine Smith	48.3%	93.1	59
49	LM Lea Ma	48.3%	92.9	59
50	MM Mio Mushika	48.2%	92.8	55

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

Joanna Garland

52.1% of second-serve points won

Average: 44.4%
Std. dev.: 2.8
Leader sits at: 2.8σ
Range: 35.8 … 52.1

678 players

#	Player	Value	Pctl	Sample
1	JG Joanna Garland	52.1%	100.0	61
2	VY Valeriya Yushchenko	51.8%	99.9	39
3	Luisina Giovannini	51.7%	99.7	75
4	MM Misaki Matsuda	51.0%	99.6	51
5	POCCarol Young Suh Lee	51.0%	99.4	99
6	AB Alexis Blokhina	50.9%	99.3	35
7	Janice Tjen#36	50.6%	99.1	102
8	Martyna Kubka	50.4%	99.0	73
9	AT Anca Alexia Todoni	50.4%	98.8	67
10	Maja Chwalinska#22	50.4%	98.7	89
11	EV Eva Marie Voracek	50.3%	98.5	74
12	AK Adithya Karunaratne	50.2%	98.4	38
13	Darja Vidmanova#92	50.0%	98.2	66
14	DZ Daria Zelinskaya	49.9%	98.1	55
15	KK Kristina Kroitor	49.8%	97.9	61
16	TP Thaisa Grana Pedretti	49.7%	97.8	42
17	YH Yujia Huang	49.6%	97.6	41
18	KD Kristina Dmitruk	49.6%	97.5	42
19	AL Alicia Herrero Linana	49.6%	97.3	69
20	JS Joelle Lilly Sophie Steur	49.6%	97.2	66
21	EA Eva Guerrero Alvarez	49.5%	97.0	76
22	Veronika Erjavec#104	49.4%	96.9	112
23	FL Fangzhou Liu	49.2%	96.8	33
24	VA Victoria Allen	49.0%	96.6	52
25	Katherine Sebov	49.0%	96.5	78
26	LH Laura Hietaranta	48.9%	96.3	65
27	TK Tahlia Kokkinis	48.9%	96.2	42
28	AM Amandine Monnot	48.8%	96.0	70
29	Hayu Kinoshita	48.8%	95.9	78
30	DI Dasha Ivanova	48.8%	95.7	59
31	VB Victoria Bosio	48.8%	95.6	72
32	Mia Ristic	48.6%	95.4	80
33	VM Victoria Milovanova	48.6%	95.3	50
34	Himeno Sakatsume#135	48.6%	95.1	94
35	Panna Udvardy#76	48.6%	95.0	131
36	AA Ayana Akli	48.5%	94.8	74
37	Hanyu Guo	48.5%	94.7	73
38	PK Punnin Kovapitukted	48.5%	94.5	34
39	JK Jana Kovackova	48.5%	94.4	42
40	Fangran Tian	48.5%	94.2	66
41	IA Ilinca Dalina Amariei	48.4%	94.1	53
42	LA Lucciana Perez Alarcon	48.4%	93.9	32
43	HT Harmony Tan	48.4%	93.8	98
44	MC Maria Garcia Cid	48.3%	93.6	34
45	Elizara Yaneva	48.3%	93.5	64
46	MG Meiqi Guo	48.3%	93.4	77
47	CH Caijsa Wilda Hennemann	48.3%	93.2	52
48	TS Tina Nadine Smith	48.3%	93.1	59
49	LM Lea Ma	48.3%	92.9	59
50	MM Mio Mushika	48.2%	92.8	55

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.