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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FM Stats Lab: Decisions, Decisons, Decisions

Welcome back to the FM Stats Lab. 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 though, professionalism can have a huge impact.

Our first post was a light introduction, and the statistics were kept on a leash, but now (for all you fellow nerds) we are going to delve a little bit deeper. If stats aren’t you thing that’s fine, you can still find out our headline results from each of our experiments and there’ll be a little glossary at the end of any statistical terms that get thrown around.

There have been some great suggestions in the comments so in this post we planned to cover two experiments:

  • The Impact of Decision Making
  • Physically, Mentally, or Technically good Strikers?

However we went down a stats rabbit hole with the investigation of Decision Making. One that had originally been looked at by another blogger back in FM18 with their original version of an FM Lab. So the striker based experiments will have to wait until next time…

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Welcome to the FM Lab! Where statistics and FM collide

Welcome to the FM Lab!

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. 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.

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Stat Analysis | Who is the Best Goalscorer in the Premier League

With the race for the golden boot tighter than ever, I decided to crunch some numbers to see who is the best goalscorer in the Premier League. In this post I’ll outline the stats I used, who is best in each category of my analysis and then try to predict what the final goals tally will look like. I took the 13 top scoring players in the PL this season as the sample. First let’s look at a number of stats comparing players performance this season to last.

Salah

 

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The Absurd Numbers of Lars Stindl

Stindl

Germany’s 2018 World Cup was really bad. They hadn’t been knocked out of the competition at the first stage since 1938, but after masterclass performances from Mexico and Sweden, the Champions were booted out of the competition. A lot of the blame was passed on Joachim Low and not selecting Leroy Sane despite being involved in over 30 goals in all competitions last season. He wasn’t the only key component missing from Germany’s squad, 29-year-old Lars Stindl who suffered a syndesmotic ligament tear in April. He may not have the highest of goal scoring records, just 6 times in the last Bundesliga campaign and 47 top-flight goals in his career, but Stindl’s defensive work makes him one of the most unusually gifted forwards to work with. 

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