For quick calculation of Game Intelligence (GI) and Game Point Loss (GPL) or Missed Points in chess games for a given .PGN file.
main.py
: main script.pgn_evaluation_fast_analyzer.py
: Analyzes Stockfish-annotated PGN files and outputs a JSON file with the stats.stockfish_pgn_annotator.py
: Annotates PGN files with Stockfish evaluations and outputs the annotated PGN.
- For more information, see https://doi.org/10.48550/arXiv.2302.13937
- For World Championship and super GM games, see https://github.com/drmehmetismail/Performance-Metrics
- For Engine vs Engine games (CCRL), see https://github.com/drmehmetismail/Engine-vs-engine-chess-stats
- For Lichess games, see https://github.com/drmehmetismail/Chess-Data-Processing
Please cite the following paper if you find this helpful.
@article{ismail2023human,
title={Human and Machine Intelligence in n-Person Games with Partial Knowledge: Theory and Computation},
author={Ismail, Mehmet S},
journal={arXiv preprint arXiv:2302.13937},
year={2023}
}