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I trained a model to predict players' market value


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I wanted to predict how much I was going to make on a certain transfer and when is the right time to sell my players, so I played a little with ML this weekend as I was sick and had no better things to do. Here is the output:

image.png.9a47335b989ce5b16deb20f7d8dd1659.png

Long story short, I didn't play the game yet, but I think the model is quite powerful. I was able to spot around 50 dirty cheap 18 yo with around 110 CA that were on extremely low release clauses (mostly in Spanish lower divisions).

image.thumb.png.9d3ef51ff90a219882ef8644e4f238c3.png

I haven't played the game yet, but I think some other recommendations might be quite promising.

I will be still tweaking the model, but if anyone wants it is on my website:

https://moneyballfm.com/Market_Value

https://moneyballfm.com/Team_Value_🔒

I also wrote more about it on reddit, if there are any kind people here who give me early likes so the algos don't forget about my submission, I would appreciate it. Here is the link:

Let me know if you have any questions :)

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Just to put more context to my sloppy late-night post I add some screenshots.

 

Players with transfer interest sorted by Potential Income:

image.png.9b4049542b51cc6aa3eb1d246851a5ba.png

My Istanbulspor top potential value performers (some on loan):
image.png.8e5237d24dffd9910b7971e90d6283ee.png

My team's worst potential value performers (for-sale candidates):

image.png.1d30ab3c57828222f566e94d33541cd8.png

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It's the same view as lately, but you have to adjust the formats:

 

Quote

 

How to load the data for the model to work?

It's still in the early stages, so you need to adjust the Interface in in-game preferences accordingly (just for data export):

  • change the currency to €

  • change wages to Yearly

  • date format: yyyy/mm/ddd

  • date separator: Slash

  • decimal symbol: Dot

  • digit grouping symbol: Comma

 

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