Name | Time | FINA | Imp | |||
---|---|---|---|---|---|---|
1 |
Sarah SJOESTROEM
Sweden
|
Sweden | 976 | +1.8% | PB | |
2 |
Jeanette OTTESEN
Denmark
|
Denmark | 960 | +0.8% | PB | |
3 |
Inge DEKKER
Netherlands
|
Netherlands | 958 | -0.6% | ||
4 |
Ying LU
China
|
China | 904 | +1.1% | SB | |
5 |
Silvia DI PIETRO
Italy
|
Italy | 886 | +0.2% | PB | |
6 |
Aleksandra URBANCZYK
Poland
|
Poland | 859 | -0.2% | ||
7 |
MÉLANIE HENIQUE
France
|
France | 849 | -0.3% | ||
8 |
Daynara DePaula
Brazil
|
Brazil | 830 | -1.6% |
Name | Time | FINA | Imp | |||
---|---|---|---|---|---|---|
1 |
Jeanette OTTESEN
Denmark
|
Denmark | 938 | – | ||
2 |
Sarah SJOESTROEM
Sweden
|
Sweden | 925 | – | ||
3 |
Inge DEKKER
Netherlands
|
Netherlands | 894 | -2.9% | ||
4 |
Silvia DI PIETRO
Italy
|
Italy | 881 | – | PB | |
5 |
Ying LU
China
|
China | 874 | +0.2% | SB | |
6 |
Daynara DePaula
Brazil
|
Brazil | 870 | – | PB | |
7 |
Aleksandra URBANCZYK
Poland
|
Poland | 863 | +4.0% | PB | |
8 |
MÉLANIE HENIQUE
France
|
France | 856 | – | ||
9 |
Kimberly BUYS
Belgium
|
Belgium | 852 | – | PB | |
10 |
Claire Donahue
United States
|
United States | 840 | – | ||
11 |
Yuhan QIU
China
|
China | 838 | -0.2% | ||
12 |
Daiene DIAS
Brazil
|
Brazil | 832 | – | PB | |
13 |
Felicia Lee
United States
|
United States | 829 | +0.2% | PB | |
14 |
Anastasiia LIAZEVA
Russia
|
Russia | 824 | – | ||
15 |
Katerine SAVARD
Canada
|
Canada | 817 | – | ||
16 |
Marie WATTEL
France
|
France | 810 | – | PB |