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Tekken 8 Jun Kazama Data Analysis Showcase

Showcase visualizations of Jun Kazama data in Tekken 8.

Status

CodeQL
Python application

Project Details

Focus primarily on Jun Kazama from Tekken 8.

Update May 23, 2024

Some move variations were excluded.

Jun Kazama data is based on https://rbnorway.org/jun-t8-frames/.

Visualizations

Instagram
Facebook

Analysis Details

Frame (Only first hit is considered)

Frame_Advantage_on_Block (Only last action is considered, or if the move is stopped when blocked)

Frame_Advantage_on_Hit (Only last action is considered)

Moves' Frame is mostly 13 – 20 frames

Moves' Damage is mostly 16 – 37 damages

Moves' Frame_Advantage_on_Block is mostly -12 – 0 frames

Moves' Frame_Advantage_on_Hit is mostly 2 – 21 frames

Frame and Dmg/Frame have a positive relationship

Codebase Details

To scrape Jun Kazama data

  • Go to main.py
  • Specify the SQLite database name if needed
    sqlite_db = 'jun_kazama.db' # can be specified  
    
  • Run the script

jun_kazama_scraper.py

transform_data.py

  • Clean data in the DataFrame

migrate_to_sqlite.py

  • Migrate the DataFrame to SQLite database
    • Create SQLite database named jun_kazama.db
      • Database name can be specified in main.py