Way to Logically Predict Approximate Chess Rating in Pop-Culture Games After seeing a video of an analysis on the chess game in A Game of Shadows between Sherlock Holmes and Moriarty, it made me wonder what their fictional ratings would be around. Other games like the Harry Potter chess puzzle and Einstein vs. Oppenheimer have also interested me, so what would I analyze to predict their ratings?

A few ideas I have had was to compare general rating trends, such as ratings when openings are mastered, when prominent use of strategy is used, the speed (I think it was a 5-min blitz in AGOS. Also looking at how far they calculate ahead, the rate they calculate, how they prepare for future threats, etc. I could also look into the history and check the openings used, and the general theories of the time and how much they diverge.

I also note how these games are fictional and may not be perfect or even set up with the era in mind, but it still seems like an interesting thing to do.



Also, if you have any other examples they are appreciated.
You will need statistics to estimate playing strength from a single game. It's of course possible, but you will be need to read journal articles.


  https://ailab.si/matej/doc/Using_Heuristic-Search_Based_Engines_for_Estimating_Human_Skill_at_Chess.pdf


"Using Heuristic-Search Based Engines for Estimating Human Skill at Chess" is considered as a baseline for estimating human skills from a single game. The idea is simple; assume a computer engine plays much stronger chess than humans; we should be to use the difference in evaluations for statistical inference.

I have personally implemented this paper for a chess company. The system is working.