Top 64 Board positions after move 10
Using Python do so some data analysis on the most common board positions after move 10Intro
In doing some research on openings, one thing I wanted was to see what the most common board positions one could find themselves in after several moves into the game. I decided to look at the most common positions after 10 moves, but I could easily redo this for any amount of moves. I used the Lichess database https://database.lichess.org/ for the full database and the https://database.nikonoel.fr/ for the master's database. I used Python with Pandas to dissect these databases to sort by the most common board positions after move 10, then I build several Lichess studies sorted by White Win Rate, Evaluation Bar, and Black Win Rate.
Code
I will not get deep into the code, but it is quite simple and can be found at my GitHub page here: https://github.com/bigurb10/Chess-Top-Move-10-FENS/blob/main/fen%20to%20csv%20then%20sort%20with%20pandas.ipynb
YouTube Video
I also made an accompanying YouTube video which can be found here:
https://youtu.be/Rt-s4S3J6JI
The Studies
And here are the Studies:
Masters Games:
Sorted by Number of Games: https://lichess.org/study/2rpqmEPE
Sorted By White Win Rate: https://lichess.org/study/6y3Vd9Cq
Sorted by Evaluation: https://lichess.org/study/ThjfDBlq
Sorted by Black Win Rate: https://lichess.org/study/LcI9gm3r
Full Database(All Games)
Sorted by Number of Games: https://lichess.org/study/b3XN5I2t
Sorted By White Win Rate: https://lichess.org/study/IulVT3fJ
Sorted by Evaluation: https://lichess.org/study/yHtIaJKc
Sorted by Black Win Rate: https://lichess.org/study/oy3PDlYX
Places to Follow Me:
You can follow me on YouTube at: https://www.youtube.com/channel/UCUlStYf1szBrN9gXrpq6r9Q
And Twitch at: https://www.twitch.tv/ryvegenesis
My linktree with all of my other projects as well: https://linktr.ee/bigurb