The data that is being analysed in terms of shot efficiency is growing with each week but we can also look at this is a different way, what about shot conversion. The way we do this is simply take the amount of goals scored divided by the shots taken this season.
Week 15 may well be in progress, so I shall take the Premier League data from Week 14 just to give us a framework going forward. As always a big thanks to whoscored.com for all the necessary data.
Here is the Premier League league table after 14 weeks but showing shots and goals instead of points
Team | GF | Total Shots |
Manchester City | 44 | 246 |
Manchester United | 32 | 203 |
Chelsea | 25 | 195 |
Arsenal | 28 | 237 |
Liverpool | 28 | 251 |
Burnley | 14 | 139 |
Tottenham | 22 | 248 |
Watford | 24 | 172 |
Leicester | 19 | 130 |
Brighton | 13 | 122 |
Southampton | 14 | 185 |
Newcastle United | 13 | 183 |
Everton | 17 | 146 |
Huddersfield | 9 | 122 |
Bournemouth | 12 | 136 |
Stoke | 16 | 155 |
West Bromwich Albion | 12 | 116 |
West Ham | 12 | 141 |
Swansea | 7 | 113 |
Crystal Palace | 8 | 174 |
Now let’s add in the each Premier League teams shot conversion percentage
Team | GF | Total Shots | Shot Conversion |
Manchester City | 44 | 246 | 17.86% |
Manchester United | 32 | 203 | 15.76% |
Chelsea | 25 | 195 | 12.85% |
Arsenal | 28 | 237 | 11.83% |
Liverpool | 28 | 251 | 11.17% |
Burnley | 14 | 139 | 10.10% |
Tottenham | 22 | 248 | 8.88% |
Watford | 24 | 172 | 13.94% |
Leicester | 19 | 130 | 14.59% |
Brighton | 13 | 122 | 10.67% |
Southampton | 14 | 185 | 7.58% |
Newcastle United | 13 | 183 | 7.09% |
Everton | 17 | 146 | 11.68% |
Huddersfield | 9 | 122 | 7.39% |
Bournemouth | 12 | 136 | 8.84% |
Stoke | 16 | 155 | 10.30% |
West Bromwich Albion | 12 | 116 | 10.33% |
West Ham | 12 | 141 | 8.49% |
Swansea | 7 | 113 | 6.17% |
Crystal Palace | 8 | 174 | 4.61% |
With the next step then being to reorder that data, in terms of shot conversion (smallest to largest)
Team | GF | Total Shots | Shot Conversion |
Manchester City | 44 | 246 | 17.86% |
Manchester United | 32 | 203 | 15.76% |
Leicester | 19 | 130 | 14.59% |
Watford | 24 | 172 | 13.94% |
Chelsea | 25 | 195 | 12.85% |
Arsenal | 28 | 237 | 11.83% |
Everton | 17 | 146 | 11.68% |
Liverpool | 28 | 251 | 11.17% |
Brighton | 13 | 122 | 10.67% |
West Bromwich Albion | 12 | 116 | 10.33% |
Stoke | 16 | 155 | 10.30% |
Burnley | 14 | 139 | 10.10% |
Tottenham | 22 | 248 | 8.88% |
Bournemouth | 12 | 136 | 8.84% |
West Ham | 12 | 141 | 8.49% |
Southampton | 14 | 185 | 7.58% |
Huddersfield | 9 | 122 | 7.39% |
Newcastle United | 13 | 183 | 7.09% |
Swansea | 7 | 113 | 6.17% |
Crystal Palace | 8 | 174 | 4.61% |
Ultimately this the same data as the shot efficiency rating but just re purposed in a different format, but here is the clever bit. Where Manchester City have a shot conversion ratio of 17.86% they have a shot efficiency rating of 5.6 – multiply the two metrics together and we have 100%.
So combining the two would give us the whole picture it ultimately depends on which way you want to look at if, conversion or efficiency. The former gives us a nice figure in terms of a percentage and you can then use that a measuring stick and the latter gives us the data in pure shots.
It may well be that this metric ends up being the fairer representation as that way we can look at it in percentage terms and not just because a team is creating and in turn not scoring lots of chances, it may well be that I run the two metrics side by said in the same article so that we can compare and contrast.
Let’s stick a graph in for good measure
So where the shot efficiency graph went from smallest to largest this is doing the opposite – same teams but the bar heights are on the inverse. Do you think this is a better concept to show the data, please feel free to leave some feedback in the comments below.
Like I say the data gives us the same results so perhaps it does not warrant its own article, but it certainly adds another layer to the picture that I am trying to build at present, if I add it into the shot efficiency rankings then the length of that article will get even longer and I need to be sure not to blind people with numbers. The joys of being a Freelance Football Statistician I guess.
I hope this was of interest to you and if you have any football data work available then please contact me at realfootballmanwordpress@gmail.com as I am always looking to undertake additional projects to the ones I already have. Thanks, Dan.
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