Context Looking back at the season that was 2018-2019 and looking to delve into sight deeper insights. Using the data to see how clubs are similar stylistically, in the way they pass, attack and score goals. Content This data set is wide ranging in the sense it encompass stats seen on a regular league table but goes beyond looking at how teams pass and keep possession, how they defend, tackle as well as looking at market values of a team and how much money each team was allotted from the TV rights deal. This data was gathered from 1) BBC Sports Football, 2) Premierleague.com 3) Transfermarkt.co.uk This data was not scrapped in a conventional sense and appears in a rather haphazard manner. To counter this I included category descriptors at the start of each variable name, this should help to provide a more cohesive understanding of the data set as well as aid in sub setting. Acknowledgements We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research. Inspiration I've done some rather elementary data analysis and exploration. I would love to see the community wrangle with this and explore further, create more complex models, apply some ML and see what insight can be gathered from this data.