Hi everyone,

I'm DonnyBets, and I'm diving into an exciting machine-learning project aimed at improving poker strategy. I aim to develop a data-driven solver/trainer to pinpoint incorrect decisions in poker hands (like fold, call, or raise decisions) and enhance game understanding through practice and analysis. The solver will help dissect shoving and call-off ranges, among other strategic aspects, eventually incorporating micro-image and player profiling.

I need a diverse dataset of hand histories and tournament summaries to bring this to life. Your contribution could significantly advance this project. In return, early contributors will gain exclusive access to the solver/analytics tool, potentially transforming your poker strategy.

I am applying the model to Fifty50s on Stars first. Then 9-player Knockouts. I am choosing these game types first as I think the "correct" ICM considerations are the least understood. If you have a different opinion, let me know.

I assure you that any data shared will be used strictly for this project with the utmost confidentiality. Interested in contributing or curious about more details? Please send me a direct message or connect with me on Twitter @_DonnyBets_.

Thanks!
DonnyBets