2 weeks ago
Ankita Dhyani Sets New Personal Best in 1500m Race
Ankita Dhyani is a runner from India.
She ran a race called the 1500 metres, which is almost a mile long.
She finished in second place.
Her time was 4 minutes and 6.75 seconds, the fastest she has ever run.
She improved her old personal best by more than five seconds.
That makes her the fastest Indian woman in this race this year.
It is also one of the four best times ever run by an Indian in this event.
Carmen Alder Caisalitin from Ecuador won the race.
Eleanor Fulton from the United States finished third.
Ankita has won medals at Asian championships and has even competed at the Olympics.
Indian runner Ankita Dhyani clocked a personal best of 4:06.75s in the women's 1500m at the Stumptown Twilight event in Portland, USA.
She finished second, improving her previous personal best of 4:12.28s by more than five seconds.
Her time is the fastest by an Indian in the 1500m this season and the fourth fastest ever by an Indian.
Ecuador's Carmen Alder Caisalitin won the race in 4:06.40s, with Eleanor Fulton of the USA third in 4:09.36s.
Dhyani has won medals at Asian Championships and the Asian Indoor Championships and represented India at the 2022 Asian Games and 2024 Paris Olympics.
- Who
- Ankita Dhyani, a 24-year-old Indian middle and long-distance runner
- What
- Set a personal best of 4:06.75s to finish second in the women's 1500m at the World Athletics Continental Tour Challenger level Stumptown Twilight meet
- Where
- Portland, USA
- When
- Saturday at the Stumptown Twilight event
- Why
- She raced to improve her time, surpassing her previous personal best of 4:12.28s by more than five seconds
Key facts
- Athlete
- Ankita Dhyani (India)
- Event
- Women's 1500m
- Result
- 2nd place
- Time
- 4:06.75s (personal best)
- Previous personal best
- 4:12.28s
- Meet
- Stumptown Twilight (World Athletics Continental Tour Challenger, Category D)
- Indian national record
- 4:04.78s, held by KM Deeksha
- Race winner
- Carmen Alder Caisalitin (Ecuador), 4:06.40s






