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Pedestrian Hit as Star Crow Involved in Car Accident
The Crows said the 25-year-old was shaken but unhurt and reported the crash to South Australia Police.
- On Friday, Adelaide Crows player Josh Worrell was involved in a vehicle accident with a pedestrian while driving to training. The 25-year-old was shaken but physically uninjured.
- Following the incident, the Adelaide Football Club reported the matter to South Australia Police and stated the club is not in a position to provide further comment at this stage.
- Regarding the pedestrian involved, the Crows confirmed another person was in the collision, though there remains no update on their well-being as of Friday.
- Despite the accident, Worrell is not expected to miss Adelaide's crucial game against Gold Coast on Saturday, marking his 16th appearance of the season.
- Coach Matthew Nicks is managing player availability for a vital finals tilt, welcoming back Wayne Milera and Riley Thilthorpe following their recent absences from the lineup.
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Sydney Morning Herald+2 Reposted by 2 other sources
Crows confirm player hit pedestrian in car accident on Friday
Adelaide has confirmed Josh Worrell's car accident on Friday involved him hitting a pedestrian.
·North Sydney, Australia
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Pedestrian hit as star Crow involved in car accident
Star Adelaide defender Josh Worrell is still expected to play in their AFL clash with Gold Coast despite allegedly being in a car accident that involved a pedestrian. Worrell was reportedly left shaken up by the incident, which occurred as he made his way to training on Friday. The 25-year-old was given permission to skip the session, but is still expected to line up against the Suns at Adelaide Oval on Saturday. Josh Worrell has played in all 1…
AFL Daily: Star Rejects Rivals in Dons ‘Huge’ Contract Coup; Car Accident Leaves Crows Star ‘Shaken’
Star rejects rivals in Dons ‘huge’ contract coup; car accident leaves Crows star ‘shaken’
·Australia
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Coverage Details
Total News Sources10
Leaning Left3Leaning Right2Center1Last UpdatedBias Distribution50% Left
Bias Distribution
- 50% of the sources lean Left
50% Left
L 50%
C 17%
R 33%
Factuality
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