Name | Time | FINA | Imp | |||
---|---|---|---|---|---|---|
1 |
EMILY SEEBOHM
Australia
|
Australia | 1011 | – | PB | |
2 |
Marieke GUEHRER
Australia
|
Australia | 1009 | – | ||
3 |
Hinkelien Schreuder
Netherlands
|
Netherlands | 994 | -0.6% | ||
4 |
FABIOLA MOLINA
Brazil
|
Brazil | 975 | -1.0% | ||
5 |
Jia Yi Shana LIM
Singapore
|
Singapore | 919 | – | ||
6 |
Lara Jackson
United States
|
United States | 895 | -1.5% | ||
7 |
JESSICA ASHLEY-COOPER
South Africa
|
South Africa | 840 | +2.1% | PB | |
8 |
Riia-Rosa Koskelainen
Finland
|
Finland | 796 | -0.1% |
Name | Time | FINA | Imp | |||
---|---|---|---|---|---|---|
1 |
EMILY SEEBOHM
Australia
|
Australia | 963 | – | PB | |
2 |
Marieke GUEHRER
Australia
|
Australia | 958 | – | ||
3 |
FABIOLA MOLINA
Brazil
|
Brazil | 913 | -3.2% | ||
4 |
Jia Yi Shana LIM
Singapore
|
Singapore | 887 | – | ||
5 |
Hinkelien Schreuder
Netherlands
|
Netherlands | 872 | -5.0% | ||
6 |
Lara Jackson
United States
|
United States | 856 | -3.1% | ||
7 |
JESSICA ASHLEY-COOPER
South Africa
|
South Africa | 823 | +1.4% | PB | |
8 |
Riia-Rosa Koskelainen
Finland
|
Finland | 796 | -0.2% | ||
9 |
Claudia LAU
Hong Kong
|
Hong Kong | 737 | – | ||
10 |
How Tsing Natalie WONG
Hong Kong
|
Hong Kong | 730 | – | ||
11 |
Wyn Min Tiffany KOH
Singapore
|
Singapore | 618 | – | ||
12 |
Deborah CHUA
Singapore
|
Singapore | 607 | – | ||
13 |
SARAH FERGUSON
South Africa
|
South Africa | 602 | -3.0% | ||
14 |
Hui Yu KOH
Singapore
|
Singapore | 591 | – | ||
15 |
Adeline WINATA
Singapore
|
Singapore | 588 | – | ||
16 |
Patricia Yosita
Indonesia
|
Indonesia | 583 | – | ||
17 |
Ka Wing Alicia CHIANG
Singapore
|
Singapore | 529 | – | ||
18 |
Natasha-Lin LOW
Singapore
|
Singapore | 369 | – |