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https://github.com/thesmartmonkey/chess-analysis
Analyse your own games get some good insights that helps you to improve at chess
https://github.com/thesmartmonkey/chess-analysis
chess python
Last synced: about 16 hours ago
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Analyse your own games get some good insights that helps you to improve at chess
- Host: GitHub
- URL: https://github.com/thesmartmonkey/chess-analysis
- Owner: TheSmartMonkey
- License: mit
- Created: 2022-02-12T10:46:33.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-09-10T22:21:31.000Z (over 1 year ago)
- Last Synced: 2024-11-05T13:13:45.383Z (about 2 months ago)
- Topics: chess, python
- Language: Python
- Homepage:
- Size: 65.4 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# chess-analysis
Analyse your own games get some good insights that helps you to improve at chess
## Getting started
### Lichess
1. Go to https://lichess.org/@/{your_name}/download
1. Download you opening file with this include settings
1. Add the file at the root of the project
### Chess.com
1. Go to https://chessinsights.xyz/
1. Enter the players name and export file in json
1. Add the file at the root of the project
1. Rename the file and put `chesscom_` on front
### Next steps
1. Install pipx : https://pypa.github.io/pipx/
1. Avalable commands with `npm run` (`npm run start` runes your code)
```
start
py main.py
test
python -m pipenv run pytest
lint
python -m pipenv run mypy .
format
python -m black . && python -m isort -y
format:check
python -m black --check . && python -m isort --check-only
coverage
python -m pipenv run pytest --cov --cov-fail-under=90
```
Result exemple :
```
Played result:
win: 105
lose: 58
equal: 5
win: 62.5%
lose: 34.52%
equal: 2.98%
Most played openings:
75 games: Queen's Pawn Game: Mason Variation
32 games: Indian Defense
15 games: Horwitz Defense
7 games: Queen's Pawn Game
5 games: Englund Gambit
5 games: Modern Defense
4 games: Mikenas Defense
3 games: French Defense: Franco-Hiva Gambit
Most common lines:
8 games: 1. d4 d5 2. Bf4 Nf6 3. e3 e6 4. Bd3
6 games: 1. d4 d5 2. Bf4 Nc6 3. e3 Bf5 4. c4
6 games: 1. d4 d5 2. Bf4 Bf5 3. e3 e6 4. c4
6 games: 1. d4 Nf6 2. Bf4 g6 3. Nc3 Bg7 4. e4
4 games: 1. d4 d5 2. Bf4 e6 3. e3 Nf6 4. Bd3
4 games: 1. d4 d5 2. Bf4 Nc6 3. e3 f6 4. Nf3
4 games: 1. d4 d5 2. Bf4 Nf6 3. e3 Bf5 4. c4
4 games: 1. d4 d5 2. Bf4 e6 3. e3 Bd6 4. Bg3
4 games: 1. d4 Nf6 2. Bf4 d6 3. Nc3 g6 4. e4
4 games: 1. d4 d5 2. Bf4 Nf6 3. e3 c5 4. c3
4 games: 1. d4 d5 2. Bf4 Nc6 3. e3 Bf5 4. c4 e6
4 games: 1. d4 d5 2. Bf4 Nf6 3. e3 e6 4. Bd3 c5
4 games: 1. d4 Nf6 2. Bf4 g6 3. Nc3 Bg7 4. e4 d6
4 games: 1. d4 d5 2. Bf4 Nf6 3. e3 e6 4. Bd3 c5 5. c3
4 games: 1. d4 Nf6 2. Bf4 g6 3. Nc3 Bg7 4. e4 d6 5. Qd2
3 games: 1. d4 d5 2. Bf4 Nc6 3. e3 Nf6 4. Nf3
3 games: 1. d4 d5 2. Bf4 e6 3. e3 c5 4. c3
3 games: 1. d4 d5 2. Bf4 e6 3. e3 Bd6 4. Bg3 Bxg3
3 games: 1. d4 d5 2. Bf4 Nf6 3. e3 Bf5 4. c4 c6
3 games: 1. d4 d5 2. Bf4 Bf5 3. e3 e6 4. c4 c6
```
## Current Functionalities
1. Give the most played lines (then you know were to train)
## Upcoming Functionalities
1. Analyse the most common mistakes in the opening
1. Give alternative moves to improve your games
1. Machine leaning (https://github.com/mptedesco/python-chess-analysis)