Fantasy Cricket Project

This project helps you gather and analyze player-wise cricket stats for fantasy cricket applications.

1. Get Player-wise Stats

Use the following URL format to fetch player statistics:

https://stats.espncricinfo.com/ci/engine/player/PLAYER_ID.html?class=3;opposition=OPPOSITION_ID;ground=GROUND_ID;template=results;type=batting

• Replace PLAYER_ID, OPPOSITION_ID, and GROUND_ID with the appropriate values.

2. Extract Player, Opposition, and Venue IDs

• Use run2.py to obtain the PLAYER_ID.
• Find OPPOSITION_ID and GROUND_ID manually from the ESPN Cricinfo website.

3. Python Structure for Jupyter Notebook

• Organize your Jupyter notebook with the following structure:
  1. Import Libraries
     Import required Python libraries (e.g., requests, pandas, BeautifulSoup).
  2. Define Helper Functions
     Functions for fetching and parsing player stats.
  3. Input Section
     Input player, opposition, and venue IDs.
  4. Data Extraction
     Use the helper functions to fetch and process data.
  5. Analysis & Visualization
     Analyze and visualize the extracted stats.
  6. Conclusion
     Summarize findings or next steps.

4. End-to-End Connection

• Ensure all steps are connected: from fetching IDs, extracting data, to analysis and visualization, for a seamless workflow in your Jupyter notebook.