Namira Log-Analyzer

Python Script for parsing and analyzing agent2D soccer simulation rcl and rcg log files. This has been used in NAMIRA TPAS, a Tournament Planning and Analyzer Software.

Why is this useful?

• Generating comprehensive data about your team performance on different matches.
• Evaluating different capabilities of your team .
• Using extracted data to train machine learning algorithm.

Getting Started

You just need python 3.x! and setuptools running on any OS.

Pre Installation

Ubuntu

sudo apt-get update
sudo apt-get install python3 python3-pip python3-setuptools python3-numpy python3-matplotlib

Installation

git clone https://github.com/Farzin-Negahbani/Namira_LogAnalyzer.git
cd Namira_LogAnalyzer

Then you can do one of the following methods:

Method 1

sudo python3 ./setup.py install

Method 2

pip install .

Uninstall

pip uninstall loganalyzer

Capabilities of this analyzer

This analyzer can report following match facts and information:

• Pass
  • Pass Counting
    • In Width
    • In Length
    • In 9 determined regions (A, B, ... I)
    • True Passes
  • Pass Interception
  • Pass Accuracy
• Shoot
  • Shoot Counting
    • In Width
    • In Length
    • In 9 determined regions (A, B, ... I)
    • On Target Shoots
    • Off Target Shoots
  • Shoot Accuracy
• Possession
  • Possession in 9 determined regions (A, B, ... I) for the teams
  • Possession in 9 determined regions for each player (A, B, ... I)
  • Possession of any team or player in any custom region
• Position
  • Cycles each player is in 9 determined regions (A, B, ... I)
  • Cycles each player is in any of custom regions (A, B, ... I)
• Players' moved distance
• Players' stamina usage
• Players' stamina used per distance
• Game Heatmap of teams
• Kick count
• Tackle count
• Say count

Default Regions

How to Use

To check how to retrieve data, take a look at Testcase.py file.

As a Script

loganalyzer --path <log file without .rcl or .rcg >

As a Module

import loganalyzer
from loganalyzer import Parser
from loganalyzer import Game
from loganalyzer import Analyzer
parser = Parser('path to log file without .rcl or .rcg')
game = Game(parser)
analyzer = Analyzer(game)
analyzer.analyze()
left_team_pass = analyzer.pass_l
left_team_in_target_shoot = analyzer.in_target_shoot_l
left_team_agent_1 = game.left_team.agents[0].data

Publication

If you found this work useful in your research, please give credits to the authors by citing:

• Asali, E., Negahbani, F., Tafazzol, S., Maghareh, M.S., Bahmeie, S., Barazandeh, S., Mirian, S., & Moshkelgosha, M. (2018). Namira Soccer 2 D Simulation Team Description Paper 2018. PDF
• Asali, E., Moravej, A., Akbarpoor, S., Asali, O., Katebzadeh, M., Tafazol, S., ... & Haghighi, A. B. (2017). Persian Gulf Soccer 2D Simulation Team Description Paper 2017. In The 21th annual RoboCup International Symposium, Japan, Nagoya. PDF

Todo

• Adding pass and shoot lenght attributes