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Determining which Fantasy Premier League models are good, bad or middling isn’t totally obvious at first glance and getting a feel for what a perfect model may look like is seemingly even more abstract to our minds. In this article I will share high level information on the approach used to create “Perfect model” conditions […]

At the end of the season it seems as though there is often disappointment from a surprisingly large amount of managers in failing to achieve a rank inside the top 10k- especially when so many prominent accounts have histories with this achievement repeated. Human intuition would indicate that a manager who reaches the top 10k

Both Bookmaker Odds and recent xG data are the trusted go to indicators of goalscoring potential for many FPL managers. In my previous analysis on how effectively xG data can reflect true player level goalscoring potential I promised to share an comparison of the predictive power of these data sources. This is exactly what this

Shot-based xG data is becoming more mainstream and referred to more often in football circles than previously. It has the advantage over basic shot /goal data in that it gives each chance a convertibility rating- effectively adding a useful context to shot data. Of course it gets criticism from many as it never picks up