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´We Won Despite Them´ – Guardiola Slams Officials After Mosquera Handball Incident
Referee Farai Hallam upheld his no-penalty call after reviewing a handball incident despite VAR's recommendation, marking the first such decision this Premier League season.
- Yesterday, referee Farai Hallam, on his Premier League debut, went to the pitchside monitor and upheld his original no-penalty decision despite VAR Darren England's recommendation at the Etihad Stadium.
- At 37 minutes, Omar Marmoush's strike appeared to hit Wolverhampton Wanderers defender Yerson Mosquera's outstretched arm, prompting Video Assistant Referee Darren England to recommend an on-field review.
- After viewing the monitor, Farai Hallam judged Yerson Mosquera's arm natural and dismissed protests from the home crowd and Manchester City bench, showing rare refereeing independence.
- The decision left the 2-0 scoreline intact as Manchester City were denied a first-half penalty, intensifying scrutiny of VAR protocols with insights from former referee Andy Davies.
- The episode feeds a season-long debate over VAR, with some analysts arguing the VAR recommendation met current handball criteria under the Laws of the Game and prompting reflection on match officials' discretion.
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´We won despite them´ – Guardiola slams officials after Mosquera handball incident
Pep Guardiola said Saturday’s win over Wolves came “despite” the officials, after Farai Hallam went against the advice of the VAR and denied Manchester City a penalty. With City already leading 1-0 thanks to Omar Marmoush’s early goal, Hallam – who was overseeing his first Premier ...
Premier League explain why Man City weren't awarded penalty despite Wolves handball - The Mirror
Manchester City played host to Wolverhampton Wanderers at the Etihad Stadium on Saturday afternoon, but were controversially denied a penalty when Yerson Mosquera handled the ball in his own area
·London, United Kingdom
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Coverage Details
Total News Sources11
Leaning Left3Leaning Right2Center1Last UpdatedBias Distribution50% Left
Bias Distribution
- 50% of the sources lean Left
50% Left
L 50%
C 17%
R 33%
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