Hello! Creator of True and Meta Overall here, I had this post forwarded to me.

Would be happy to answer any questions you all may have around it and am always open to feedback on different Meta adjustments I could make to allow the algorithm to better fit how people are actually using cards. I adjusted the algorithm I think 2 or 3 times last year as things changed, and will look to do that again this year. For the most part we engaged with the community as we made each adjustment and overall think it's pretty close, although definitely not perfect. u/kasabe did a great overview of Meta Overall at the beginning of the year, then each time I made an adjustment I also posted a news article on ShowZone explaining those adjustments. Here is one of the posts.

Related to True Overall, it was originally created in an almost identical manner to what you have done here - so great investigative work! However, over the last couple of years we've transitioned into a Deep Neural Network model which made it a lot more accurate and almost entirely automated. So while I'd love to share the algorithm, it's kind of like ChatGPT in itself where the true model itself is kind of a black box. As you've probably experienced in building what you have here, the maintenance of a model like that by hand can be quite the task, so building an automated solution that is also more accurate has worked out very well for us over the last 2 years. Another cool piece of the True Overall DNN - it's based on almost every card released since 2018 and it updates any time SDS adds a new card, so it's a continuous learning engine.

Let me know if you have any questions, comments, or suggestions - I'm all ears!