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The first post covers the following topics:
* What is your edge?
* Financial decision-making with ML
* One bet: Expected profits and decision rule
* Multiple bets: The Kelly criterion
* Probability calibration
* Winner’s curse
Link: https://tabacof.github.io/posts/csgo_betting_with_ml_part_1/csgo_betting_with_ml_part_1.html
The second post covers the following topics:
* CS:GO basics
* Data scraping
* Feature engineering
* TrueSkill
* Dataset
* Modelling
* Evaluation
* Backtesting
* Why I lost 1000 euros
Link: https://tabacof.github.io/posts/csgo_betting_with_ml_part_2/csgo_betting_with_ml_part_2.html
I hope they can be useful. All the code and datasets are freely available on Github. Let me know if you have any feedback!