I am no longer maintaining this repo. You can find one still being updated and worked on here by @BennyExtreme.
❗ DISCLAIMER: I am not affiliated with Benny and therefore cannot vouch for the security of Benny's project. Benny has simply been the most active person submitting PRs to this repo.
Track and view your VALORANT elo with this web application. As of 12/26, the original site has been taken down.
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.
Pick one of the two following methods to install and run this project:
You can follow along with the VIDEO TUTORIAL here.
- 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.
- Clone the code/repo (download the zip, utilize
git clone, or any other method) - In the root directory (the valorant-match-history folder), run
python3 -m pip install -r requirements.txt - Run
python3 ./wsgi.py - 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.
- Clone the code/repo (download the zip, utilize
git clone, or any other method) - In the root directory, run
docker build -t valorantelo:1.0 . - Run
docker imagesand identify the IMAGE ID associated with the valorantelo repository and 1.0 tag. In the following screenshot, the IMAGE ID is fbce9febcaa8.
- Run
docker run -p 5000:5000 <YOUR_IMAGE_ID>. In the example, the commmand would bedocker run -p 5000:5000 fbce9febcaa8. - Visit
http://0.0.0.0:5000/in your web browser from the same device that ran step 4.
Inspired from https://github.com/RumbleMike/ValorantRankedPoints and https://gist.github.com/Luc1412/1f93257a2a808679ff014f258db6c35b
Hosted at https://valorantelo.gg
If you are looking for an alternative, please checkout RumbleMikee's version (we are not affiliated, but this site was based off of his project). You can learn more about his project here