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 […]
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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 […]
EV (Expected Value) is a concept that has started to gain traction in FPL, while there is a certain hesitancy among many to view the game in numbers this concept is clearly applicable to FPL in much the same way it is applied in Poker and other chance based games. The aim of this post […]
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 […]
Fantasy Premier League is a cruel game like no other. Every week millions of people set their teams with high hopes and expectations only for most to end up feeling they have seemingly been slapped silly by the FPL Gods. While it seems totally intuitive that unpredictable random events impact FPL, how can you know […]
