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Booted off – Oliver Norburn gets bizarre red card in Notts County defeat
Norburn’s second yellow card came after he threw an opponent’s boot, contributing to Notts County’s 3-2 loss against promotion rivals Chesterfield.
- On Saturday, Notts County midfielder Oliver Norburn received a red card in the 19th minute for throwing Chesterfield forward Armando Dobra's boot off the pitch during their League Two match.
- Tensions between the players had already escalated early in the match when home fans accused Dobra of feigning injury; he then scored the opening goal in the 16th minute.
- Despite playing with 10 men, Notts County equalized through a 36th-minute own goal by Sil Swinkels, but Chesterfield secured a 3-2 victory after Liam Mandeville scored the 66th-minute winner.
- Chesterfield assistant Kieron Dyer questioned the dismissal, saying, "Probably unsporting conduct or something like that!" as the referee issued the second yellow card.
- Both clubs remain in the hunt for promotion from League Two, though Notts County manager Martin Paterson expressed concern that the early dismissal could impact his squad.
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12 Articles
12 Articles
Reposted by
The Independent (US)
Notts County player sent off for throwing opponent’s boot off pitch
Midfielder Ollie Norburn was shown two yellow cards inside the first 19 minutes
·London, United Kingdom
Read Full ArticleEFL star sent off for BIZARRE ‘playground’ offence involving his opponent’s boot – before his team go on to lose critical promotion match
There have been many strange reasons for red cards: urinating, kicking a ball boy, and pulling down an opponent’s shorts (ahem, Edin Dzeko) to name a few. Now Notts County midfielder Ollie Norburn has thrown his hat in the right to join the bizarre dismissal society. The midfielder was given his marching orders against Chesterfield on Saturday afternoon after throwing an opponent’s boot off the pitch. Norburn was already on a yellow card when h…
Coverage Details
Total News Sources12
Leaning Left4Leaning Right1Center0Last UpdatedBias Distribution80% Left
Bias Distribution
- 80% of the sources lean Left
80% Left
L 80%
R 20%
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