FM19 | Moneyball | Part 4

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.

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FM19 | Moneyball | Part 3

Welcome back to the third post in my Moneyball 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 and a look at inventive ways I’m keeping my expenditure down.

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FM19 | Moneyball | Part 2

First I want to start out by saying thank you to everyone who read 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.

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FM19 | Moneyball | Part 1

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.

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, I watched the film.

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