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Zachary Gomperts-Mitchelson's avatar

So, I went and did some maths as well, what I found was, amongst the teams he's reffed the most, what's REALLY interesting is the distribution, because it's SO WEIRD that he doesn't really seem to give Liverpool or City red cards. oh no I've made a table:

https://docs.google.com/spreadsheets/d/e/2PACX-1vSel8zFa1OPYTNqxodZbpxfAdkFupIwfgl4fPlwHgn5h6YDiNP7LadzHbi_AbRq0GJpuR9U_CUnXCRK/pubhtml

It's the distribution of 7 in 54, 0 in 50 and 1 in 56 that has me reaching for my tinfoil hat. It pushes the SSZS beyond what ranomness would explain. Despite the pretty normal numbers for the other teams he's officiated regularly.

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mathieu dauner's avatar

I love this approach. Curious what patterns emerge if we broaden the sample to current and upcoming opponents of Man City that Oliver has officiated where cards distorted match outcomes. I hope the club is also putting some data science resource to scrutinise Oliver’s highly unusual refereeing behaviour.

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