Premier League Data Analysis

I have been creating a mammoth database of English Premier League results (and various facts and figures about them) for the past 2 years. Hopefully soon I will get around to getting this data in to various charts that I can hopefully provide useful information to people that are interested in it. Maybe football gamblers, stattos etc?

Here is a teaser graph which is shows (over the past 2 seasons), Home Win %, Away Win %, Home Not Lose % (where teams haven’t lost a game) and Away Not Lose % (same but away).

This should maybe help people to have a flutter on those teams that very usually do not lose at home and very usually do not lose away – or maybe you can see something else useful in that data? I’m not a gambler, but maybe I can help those that do?

Added extra – here is a chart that shows the goals per game that each team (again over the past 2 years) has scored both home and away.

Added added extra – this chart shows a rating for whether the price of a home ticket is worth it across the season for each club. Based on ticket prices, win percentages and goals per game, it shows what kind of fun people have for the cost of a Premier League ticket. Please note that we are still waiting for Reading to win a home game so my calculation will work!

Barclays Premier League Table – the hidden numbers – (data visualisation)

Something a little different today – a non-SEO data visualisation.

As a Stoke City FC fan, I often read the ‘Oatcake’ Fanzine message board in which many board members complain about the team, and as frequently, the manager, Mr. Tony Pulis, the most divisive of characters.  As views are often polarised on the board, I was looking for some statistics that could shed more light on the situation – should Stoke City fans be happy with how the team is doing? Read the rest of this entry »