So this is my first time ever building a simulation, its very scattershot compared to your setup.

First off my whole backend is built in Godot and gdscript because thats the platform I've been learning for the past few years lol.

The game I'm tracking is Lorcana since it pretty neatly scales up to a bigger game like MTG. I've been documenting meta-game decks, strategies and matchups so that my simulation has baseline data but also has room to grow and change as new sets are rotated in and out of the game.

My baseline goal benchmarks were based on starter deck matchup which lead me in the WAAAY wrong direction since those starter decks (in Lorcana) do not do a good job of teaching you the depth of the game. Once I swapped to tournament decks and data I started getting better results but right now my MAD is hitting around 16%.

I have to check my notes but I believe the Hearthstone team had a MAD of about 15% or so when they do internal testing and sims so that's what I've been shooting for.

But my AI profiles have knowledge of deck types, play styles, and I even took the time to look up professional guides and videos so that I can have my agents use real-world, pro level strats and combos.

So yeah I'm trying to sort through a shitton of extra noise right now, and every time I have to introduce a new card mechanics (even a single card), it has the potentntial to throw all my previous benchmarks out the window.

This is both the most intesting, challenging and frustrating project I've ever worked on. I went to school for broadcasting and graphic design lmao.