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Car Crash Leaves Davis-Woodhall Facing Late Decision on Budapest Event
A severe concussion has left Tara Davis-Woodhall unable to train and uncertain for the inaugural World Athletics Ultimate Championship.
- On Wednesday, Olympic and world champion long jumper Tara Davis-Woodhall revealed she suffered a severe concussion in a head-on car collision while heading to a training session last week.
- The 27-year-old athlete described the parking lot incident occurring at roughly 20 mph when another driver turned into her; both vehicles were written off despite no life-threatening injuries.
- Davis-Woodhall stated on social media, "However, a severe concussion and other injuries have not allowed me to train." She is working with her medical team and doctors to recover.
- Her participation in the Ultimate World Championships in Budapest, Hungary remains uncertain, with athletes competing for $150,000 first prizes at the September 11-13 event.
- Returning to Budapest holds significance—she finished second at the 2023 World Championships, which fueled her to win the Olympics and worlds in Tokyo in 2025, though her recovery timeline now determines her status.
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33 Articles
33 Articles
Tara Davis-Woodhall apparently had a guardian angel at her side! The long jump Olympic champion suffered a concussion in a car accident.
·Berlin, Germany
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Tara Davis-Woodhall posted the crash news on Instagram.
·Helsinki, Finland
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Shock for long jump star Tara Davis-Woodhall: She gets a concussion in an accident. The 27-year-old is still lucky in misfortune - and talks about her mental condition.
Car crash leaves Davis-Woodhall facing late decision on Budapest event
Sept 2 : Olympic long jump champion Tara Davis-Woodhall has been unable to train ahead of next week's World Athletics Ultimate Championship after suffering a severe concussion in a car accident, casting doubt over her participation in the event.The American said the head-on collision occurred while she was dr
·Singapore, Singapore
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Total News Sources33
Leaning Left8Leaning Right1Center16Last UpdatedBias Distribution64% Center
Bias Distribution
- 64% of the sources are Center
64% Center
L 32%
C 64%
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