About • Goal • Data • Analysis • Usage • Credits • License
Jokes aside, with Hans scandal in chess world, a lot of people are curious about this case and this project tries to find some reason for all this scandal.
To keep it simple and objective, this project tries to answer the following questions:
- How fast top players grow in different time controls?
- Does Hans show a strange growth?
- How much close are top players in different time controls?
- Does Hans show a strange rating variantion among other time controls?
The JSON data was gathered thanks to this project: fide-api
JSON file with FIDE top players info and history: data/fide_top_players_2022_10.json
CSV file with FIDE top players info: src/data/fide_players_info.csv
CSV file with FIDE top players classical rating history: src/data/fide_classical_rating.csv
CSV file with FIDE top players rapid rating history: src/data/fide_rapid_rating.csv
CSV file with FIDE top players blitz rating history: src/data/fide_blitz_rating.csv
You can find the minor details on the notebook file: src/main.ipynb
Besides the first players Hans, Firouzja, Giri and Wei Yi all top players (including Carlsen) took more than 30 months to achieve 2699 rating.
Yes. Well, the data speak for itself (🤣). Jokes apart, even though he is the first, he is close to Firouzja, Giri and Wei Yi, but when we also look at their date we can obviously see that Hans has a huge value even compared to the cream of the crop.
Even though we are dealing with 3 ratings for some kind of lucky a lot of players have the same mean difference of 66.6, but the mean difference is 52.2.
No. I expected his ratings (mainly classical and blitz) to be far apart because of engine using but that was not the case, it's the most commom rating variation and Firouzja has one of the highest variantions (but the blitz timing is the higher one).
These plots are kinda huge because of there are lot of players so open in another tab and have fun exploring.
You will need git and asdf installed, from your terminal:
git clone https://github.com/cassiofb-dev/fide-rating-analysis
cd fide-rating-analysis
asdf install python 3.10.7
asdf local python 3.10.7
python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
jupyter-labThe last command should open jupyter lab on your browser, open src/main.ipynb file and run it on jupyter.
This project uses git, python (3.10.7) and asdf.
The following python dependecies were used:
anyio==3.6.1
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
asttokens==2.0.8
attrs==22.1.0
Babel==2.10.3
backcall==0.2.0
beautifulsoup4==4.11.1
bleach==5.0.1
certifi==2022.9.24
cffi==1.15.1
charset-normalizer==2.1.1
contourpy==1.0.5
cycler==0.11.0
debugpy==1.6.3
decorator==5.1.1
defusedxml==0.7.1
entrypoints==0.4
executing==1.1.0
fastjsonschema==2.16.2
fonttools==4.37.4
idna==3.4
ipykernel==6.16.0
ipython==8.5.0
ipython-genutils==0.2.0
jedi==0.18.1
Jinja2==3.1.2
json5==0.9.10
jsonschema==4.16.0
jupyter-core==4.11.1
jupyter-server==1.19.1
jupyter_client==7.3.5
jupyterlab==3.4.8
jupyterlab-pygments==0.2.2
jupyterlab_server==2.15.2
kiwisolver==1.4.4
MarkupSafe==2.1.1
matplotlib==3.6.0
matplotlib-inline==0.1.6
mistune==2.0.4
nbclassic==0.4.4
nbclient==0.7.0
nbconvert==7.2.0
nbformat==5.6.1
nest-asyncio==1.5.6
notebook==6.4.12
notebook-shim==0.1.0
numpy==1.23.3
orjson==3.8.0
packaging==21.3
pandas==1.5.0
pandocfilters==1.5.0
parso==0.8.3
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.2.0
prometheus-client==0.14.1
prompt-toolkit==3.0.31
psutil==5.9.2
ptyprocess==0.7.0
pure-eval==0.2.2
pycparser==2.21
Pygments==2.13.0
pyparsing==3.0.9
pyrsistent==0.18.1
python-dateutil==2.8.2
pytz==2022.4
pyzmq==24.0.1
requests==2.28.1
seaborn==0.12.0
Send2Trash==1.8.0
six==1.16.0
sniffio==1.3.0
soupsieve==2.3.2.post1
stack-data==0.5.1
tenacity==8.1.0
terminado==0.16.0
tinycss2==1.1.1
tomli==2.0.1
tornado==6.2
traitlets==5.4.0
urllib3==1.26.12
wcwidth==0.2.5
webencodings==0.5.1
websocket-client==1.4.1MIT
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