If you downloaded this project BEFORE 02/24/2023, you will need to redownload the code/zip and rerun installation for it to work again.

VALORANT ELO TRACKER

Track and view your VALORANT elo with this web application.

DISCLAIMER

Please note that ANY currently online websites utilizing this code with the original functionality are not endorsed by me and I CANNOT guarantee that your username/password are safe when using them. Currently the only safe method I can endorse is downloading this project from my GitHub and running it locally on your computer by following this video tutorial.

Please DO NOT input your username/password into any other URL links that are running the same code as your information may be stolen. Even if the website links to me, it does not mean I endorse it or that I am the person running it.

Riot Games, if you would like me to take this application down please let me know. I can be contacted via Twitter or Email.

Installation

Pick one of the two following methods to install and run this project:

Regular Installation (Recommended)

You can follow along with the VIDEO TUTORIAL here.

1. Ensure you have Python 3.X and pip on your computer. You can download it on Windows here, and most Macbooks should already have Python pre-installed.
2. Clone the code/repo (download the zip, utilize git clone https://github.com/BennyExtreme/valorant-match-history.git, or any other method)
3. In the root directory (the valorant-match-history folder), run python3 -m pip install -r requirements.txt or py -m pip install -r requirements.txt
4. Run python3 wsgi.py or py wsgi.py
5. If no errors occur, visit the site http://127.0.0.1:5000/ in your browser of choice. Only the computer you ran step 4 on will have access to this site.

Docker Installation

1. Clone the code/repo (download the zip, utilize git clone, or any other method)
2. In the root directory, run docker build -t valorantelo:1.0 .
3. Run docker images and identify the IMAGE ID associated with the valorantelo repository and 1.0 tag. In the following screenshot, the IMAGE ID is fbce9febcaa8.

4. Run docker run -p 5000:5000 <YOUR_IMAGE_ID>. In the example, the commmand would be docker run -p 5000:5000 fbce9febcaa8.
5. Visit http://0.0.0.0:5000/ in your web browser from the same device that ran step 4.

Notes

Inspired from https://gist.github.com/Luc1412/1f93257a2a808679ff014f258db6c35b