Keeping It Clean

Keeping It Clean

Keeping It Clean

If you read yesterday’s article, I provided a list of English Premier League stats and the focus was on just how often teams have ended up in a game which resulted in ‘Both Teams To Score’, while in this piece it is time for another quick data driven dump.

Up for grabs this morning are the stats on just how often each of the 20 Premier League teams have kept a clean sheet, so without further delay here is the data that might assist you during this midweek schedule.

Team Result CLEAN SHEET NO CLEAN SHEET CS % NCS %
Arsenal 23 4 19 17.39% 82.61%
Aston Villa 23 4 19 17.39% 82.61%
Bournemouth 23 4 19 17.39% 82.61%
Brighton 23 5 18 21.74% 78.26%
Burnley 23 7 16 30.43% 69.57%
Chelsea 23 5 18 21.74% 78.26%
Crystal Palace 23 6 17 26.09% 73.91%
Everton 23 6 17 26.09% 73.91%
Leicester 23 8 15 34.78% 65.22%
Liverpool 22 9 13 40.91% 59.09%
Man City 23 7 16 30.43% 69.57%
Man United 23 4 19 17.39% 82.61%
Newcastle 23 6 17 26.09% 73.91%
Norwich 23 3 20 13.04% 86.96%
Sheffield United 23 8 15 34.78% 65.22%
Southampton 23 4 19 17.39% 82.61%
Tottenham 23 3 20 13.04% 86.96%
Watford 23 8 15 34.78% 65.22%
West Ham 22 6 16 27.27% 72.73%
Wolves 23 4 19 17.39% 82.61%

It doesn’t make good reading if you are either a Tottenham or a Norwich fan as each club has kept just three clean sheets in the Premier League this season, while somewhat conveniently they face each other on Wednesday.

Does that mean there is going to be a boatload of goals in North London? The clean sheets suggest maybe but when you look at Tottenham’s own struggles in front of goal and the fact that Norwich average a goal a game this season, then perhaps not.

As with the ‘Both Teams To Score’ table, you are more than welcome to use this data as you see fit and especially if you are looking to build some bets over the course of the next few days – once this midweek gameweek is out of the way, I am also going to do a bit of a deep dive.

That being whether or not there is a corrleation between clean sheets kept and league position and whether that can be an indicator into upcoming performance, not only that but it might be a handy additional layer for my model ‘PremBot’

Happy punting and thanks for reading. Dan

If this has grabbed your interest and you would like to discuss/feedback then please feel free to drop me a message at dan@realfootballman.com. While I am always looking for new football/data projects to work on and if you feel that my skills would be of use, I can be contacted at the same address.

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You can also check out my Premier League Podcast on Soundcloud


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