I am currently conducting research on esprots as a whole with the main target being StarCraft since around 2019. I was able to publish a nice dataset of pro rep

I am currently conducting research on esprots as a whole with the main target being StarCraft since around 2019. I was able to publish a nice dataset of pro replays, and resulting JSON files after using one of the Golang parsers written by Icza. https://www.nature.com/articles/s41597-023-02510-7 https://www.nature.com/articles/s41597-023-02510-7 Feel free to look into the tools on my GitHub (https://github.com/Kaszanas https://github.com/Kaszanas). Since this is mostly the topic of my PhD I guess I will be updating the dataset in the near future. You may want to try and test your parser against it. further research for you would probably include running Logistic Regression on aggregated data from each of the replays to try and have a model that can discern between winners and losers and see which parameters are key in your data. Example: https://www.researchgate.net/publication/363613604_Determinants_of_victory_in_Esports_-_StarCraft_II https://www.researchgate.net/publication/363613604_Determina... And even further embedding the games as timeseries data via various methods.