Individual Best Times (All Time)

Isabelle Buck - (1478433) - Wantage White HorsesSearch AgainBack

Short Course

StrokeSC TimeConverted to LCSC WA PtsDateMeetVenueLicenseLevel
50 Freestyle 36.81 37.4024112/06/22City of Oxford Development Meet Series June 2022OxfordSE2211394
100 Freestyle 1:24.56 1:25.5020901/10/22Maxwell October Meet 2022AylesburySE2216083
200 Freestyle 3:06.21 3:08.1020705/11/22WWHSC 200m ClubWantageSE2220184
400 Freestyle 6:38.54 6:42.1019503/12/22Maxwell SC December Meet 2022AylesburySE2223023
800 Freestyle13:42.5613:49.6019518/11/22Wantage White Horses SC 800m Club Champs 2022WantageSE2221524
50 Breaststroke 53.68 54.3014718/06/22Wantage White Horses 50m Club ChampionshipsWantageSE2211154
100 Breaststroke 1:58.10 1:59.2014712/06/22City of Oxford Development Meet Series June 2022OxfordSE2211394
200 Breaststroke 4:38.53 4:40.4011230/10/21City of Oxford SC Halloween Open MeetOxfordSE2108873
50 Butterfly 45.25 45.7015610/07/22Oxford End of Season Meet 2022OxfordSE2211773
100 Butterfly 1:48.99 1:49.7012122/10/22WWHSC 100m Club ChampionshipsWantageSE2219324
50 Backstroke 44.05 44.5018818/06/22Wantage White Horses 50m Club ChampionshipsWantageSE2211154
100 Backstroke 1:35.79 1:36.6018809/07/22Oxford End of Season Meet 2022OxfordSE2211773
200 Backstroke 4:27.98 4:29.208708/03/20Maxwell & TeamUnify March MeetAylesburySE2005503
200 Individual Medley 3:36.28 3:38.1017805/11/22WWHSC 200m ClubWantageSE2220184
100 Individual Medley 2:09.55 2:09.608208/03/20Maxwell & TeamUnify March MeetAylesburySE2005503

 Search AgainBack

PrintPDF

Disclosure of your information. Please view Aquatics GB / Swim England / Scottish Swimming / Swim Wales Privacy Policies. For membership queries please contact / / . To update your contact details, website visibility or data protection choices log on to the Swim England Membership System / Scottish Swimming Membership System / Swim Wales Membership System. If you believe times are wrong or missing from a meet then please contact the MEET PROMOTER with the details as they supply the data.