Welcome back to Moneyball. It’s been a while. After starting my Data Analysis Masters this September, I haven’t had as much time as I would have liked to sink my teeth into FM20 and get started with my Moneyball series. With a gap in the calendar, and a free January, I’ve decided now is a good time to get writing.
Football Manager 19 introduced a huge range of match stats and analysis for us to use, and with FM20 soon upon us it’s probably safe to say that the new features will add even more to our experience. Despite all the improvements, the player pathways, development hub and even the club vision there are certain details that are probably yet to make an appearance even in FM20. Match statistics like shots on target might be our FM bread and butter…
Last time in the lab, we worked out the attributes that formed the DNA of my hoofball side. In this post, we’ll be comparing FM19 tactics. To do that, we’ll compare that hoofball tactic against a range of others from Dictate the Game in a tactical showdown. We discovered, as a result of the analysis, that for my angry hoofballing side the (common sense) attribute of aggression was not the only key for success. So were surprise attributes like positioning…
As mentioned in our previous post we are going to take a step away from the sterile lab setting (though we will be back) and look at some more natural data. Data that has been occurring in my saves. As a result we will be able to use statistics around key performance indicators (KPI’s) to actually determine what our club DNA should be for for each of our units: defence and attack. Recruiting players FM19. There are some great articles,…
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…
Welcome back to the FM Statistics Lab. What’s the importance of decision-making in FM19? In our first post we covered how we set up our lab environment to give is as much control as possible over our variables, and we also dipped our toes into the statistical water by investigating what sort of impact the professionalism attribute can have on overall team performance. If you’ve not had a chance to read it you can find it here – spoiler alert…
Statistics and myth-busting are the aim of the game in our FM Lab. We have set up a database and league to let us test what impact changing certain variables have on the actual game, to gather lots of data, and then test it statistically at the end. Specifically Professionalism in this first post. If like me you like seeing simulations and experiments, but also like me you want more hard figures then this is the experiment series for you….
As a manager, I always look for strikers with the highest finishing attribute and then assess their other attributes. However, I wonder what would happen if I created two identical players and only adjust their finishing in FM19 attributes and see what the result is like. In my last article where I looked at age, which can be read here – Does Age Make a Difference in a Striker? | Football Manager Experiment. It was slightly difficult to create a conclusion on…
Typically, when you search for a new player to join your team on Football Manager, age can be a big factor in whether or not you will sign them. I want to create an experiment that looks at two identical players in terms of attributes, but completely different ages. I want to find out whether age is a defining moment in the signing of a player. In this particular experiment, I am going to create a player who would be…