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Home›Stats›Best returners

Best returners

Return points won per 100 above what the rest of the tour manages against the same servers. Facing weak serves does not flatter anyone here.

ATPWTA
TourChallenger / ITF
Coco Gauff
Leader

USACoco Gauff

+6.2 points per 100 return points above the tour

Average
1.3
Std. dev.
1.6
Leader sits at
3.1σ
Range
-2.0 … 6.2
123 players
#PlayerValuevs tour averagePctlSample
1
Coco Gauff
USACoco Gauff#4
+6.2100.093
2
Iga Swiatek
POLIga Swiatek#8
+5.699.299
3
Sara Bejlek
CZESara Bejlek#38
+4.798.486
4
Daria Kasatkina
AUSDaria Kasatkina#61
+4.397.562
5
Katie Volynets
USAKatie Volynets#91
+4.296.7127
6
Mirra Andreeva
RUSMirra Andreeva#5
+4.095.993
7
Aryna Sabalenka
BLRAryna Sabalenka#1
+3.995.1104
8
Elina Svitolina
UKRElina Svitolina#9
+3.794.382
9
Eva Lys
GEREva Lys#85
+3.793.489
10
Marta Kostyuk
UKRMarta Kostyuk#11
+3.592.664
11
Amanda Anisimova
USAAmanda Anisimova#10
+3.491.886
12
Camila Osorio
COLCamila Osorio#60
+3.391.083
13
Jessica Pegula
USAJessica Pegula#3
+3.390.2105
14
Marie Bouzkova
CZEMarie Bouzkova#25
+3.289.372
15
Caty McNally
USACaty McNally
+3.288.585
16
ER
Elena Ruse
+3.287.766
17
Katerina Siniakova
CZEKaterina Siniakova#37
+3.286.984
18
Emma Navarro
USAEmma Navarro#28
+3.186.181
19
Elina Avanesyan
ARMElina Avanesyan
+3.085.255
20
XW
Xiyu Wang
+3.084.469
21
Alexandra Eala
PHIAlexandra Eala#20
+2.983.6120
22
Harriet Dart
GBRHarriet Dart#144
+2.882.894
23
Emma Raducanu
GBREmma Raducanu#49
+2.882.061
24
Sara Sorribes Tormo
ESPSara Sorribes Tormo
+2.881.152
25
Viktorija Golubic
SUIViktorija Golubic#51
+2.780.3101
26
Jelena Ostapenko
LATJelena Ostapenko#29
+2.779.563
27
Maya Joint
AUSMaya Joint#75
+2.678.7112
28
Ekaterina Alexandrova
RUSEkaterina Alexandrova#19
+2.577.991
29
Iva Jovic
USAIva Jovic#16
+2.577.087
30
Zeynep Sonmez
TURZeynep Sonmez#52
+2.576.2115
31
Jasmine Paolini
ITAJasmine Paolini#15
+2.575.480
32
Jessica Bouzas Maneiro
ESPJessica Bouzas Maneiro#63
+2.474.693
33
Belinda Bencic
SUIBelinda Bencic#14
+2.473.875
34
Anna Blinkova
RUSAnna Blinkova#108
+2.473.089
35
Emiliana Arango
COLEmiliana Arango#97
+2.472.1111
36
Elise Mertens
BELElise Mertens#24
+2.371.376
37
Anhelina Kalinina
UKRAnhelina Kalinina#54
+2.370.568
38
Aliaksandra Sasnovich
BLRAliaksandra Sasnovich#141
+2.369.7119
39
Cristina Bucsa
ESPCristina Bucsa#40
+2.168.998
40
Madison Keys
USAMadison Keys#23
+2.068.070
41
Lin Zhu
CHNLin Zhu
+2.067.255
42
SE
ITASara Errani
+1.966.437
43
Renata Zarazua
MEXRenata Zarazua#73
+1.965.6125
44
Yuliia Starodubtseva
UKRYuliia Starodubtseva#65
+1.864.8123
45
MS
CANMarina Stakusic#145
+1.763.982
46
Elena Rybakina
KAZElena Rybakina#2
+1.763.1111
47
ZB
CHNZhuoxuan Bai
+1.762.332
48
Suzan Lamens
NEDSuzan Lamens#148
+1.661.5109
49
Varvara Gracheva
FRAVarvara Gracheva#102
+1.660.790
50
Anastasia Potapova
AUTAnastasia Potapova#27
+1.659.870

How this is calculated

  • Opponent-adjusted. It is the excess over what the rest of the tour manages AGAINST THE SAME OPPONENTS, shrunk towards zero by n/(n+15). Without that adjustment the list rewards whoever never meets a good opponent: a Challenger regular topped the raw table.
  • 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.

Related rankings

Break percentage →Break points converted →