After my first full season in the Premier League, we are back with another instalment of Moneyball. Last season we finished 15th, with data driven signings making a bit of an impact. This time around we’ll be taking a quick look at my scouting process, as well as all the ins and outs this summer, and preview the upcoming season. Moneyball in FM19.
Welcome back to the third post in my Moneyball FM19 series. If you’re new you can check out Part 1 Here. My first full season at Crystal Palace draws to a close, and with the end in sight, there’s time to reflect on a successful season in the Premier League. We’re going to take a look at how my signings performed in the second half of the season compared with other players in the squad, my results as a whole…
First I want to start out by saying thank you to everyone who read Moneyball Part 1. The response was really overwhelming and while I tried to respond to most comments, there are undoubtedly a few I missed. As promised, in this post we will be looking at my January Transfer Window activity, the stats for the players I signed, and a closer look at my KPIs and statistical setup. Moneyball in FM19.
I start a Masters Degree in Data Analytics this September, and recently I’ve been looking at how I can use Analytics to impact my favourite game, Football Manager. Cleon recently tweeted about Moneyball, and how no one has replicated it correctly when it comes to FM. Moneyball in FM19. Now, I had heard of Moneyball, and knew it involved using Analytics to scout players, but I didn’t know the true extent of Moneyball, or where the definition came from. So,…
