Rockalyzer: Rocket League Boxcars-Replay Analyzer

Features

• Replay and analyze Rocket League Boxcars replays (you can use rrrocket or boxcars-py to parse a .replay-file into a useable .json-file)
• Extract general info
  • game playlist (casual_duel, ranked_double, ...)
  • date and time
  • replay-name and unique replay-id
  • map-name
• Extract info about players
  • name, scores, goals, saves, assists, shots
  • platform (Steam, PlayStation, PsyNet, and Xbox) and unique platform_id
  • MMR, if available (using BakkesMod)
  • title
  • ping (including min, max, and average)
• Extract info about goals
  • when, where, who
  • ball speed (in km/h)
• Extract some debug stuff like
  • complete history of player and ball positions
  • complete history of some more abstract values (see stats['debug'])
• And more. Feel free to explore it!

Installation

Run the following to install:

pip install rockalyzer

Usage

Make sure you parsed the replay to a json file first using one of the tools mentioned above.

from rockalyzer import Replayer

# load replay as JSON file and set render mode
replayer = Replayer('path/to/replay.json', render=True)

# print header infos
replayer.print_header_info()

# replay file
stats = replayer.replay()

Simple render

If you set render=True when creating the Replayer-object, you get a simple (almost real-time) render of the game using matplotlib

Build and upload package to PyPi

python ./setup.py bdist_wheel sdist
python -m twine upload dist/*