If Fighter A beats Fighter B, and Fighter B beats Fighter C...then Fighter A can beat Fighter C.
This is the law of mma-math.
Merging my love of martial arts and data science, this project is a remake of a previous mma-math algorithm I implemented for a data structures and algorithms class.
The initial mma-math calculator implements a path finding algorithm that finds the shortest path such that a fighter has a victory over a fighter who has a victory over another fighter where the path of victories eventually leads to the target opponent.
In addition to the path finding algorithm, this remake includes a DASH based GUI that takes in user input and shows important statistics and visuals for fighters found in the mma-math path.
Running app.py will run the app
python app.py
Fighter input is done through the side bar and include suggestions and automatic validation before running the program.
Upon completion, relevant statistics are shown for fighters along the path.
Different stats can be displayed on the fly by clicking different fighters.
In the case that a path isn't found, the program will indicate as such in place of a win path.
Furthermore, certain matchups may take a while to find a path. While the app searches for a path, a timer will indicate elapsed time in seconds.
The search can be cancelled at any time.
url_scraper.py: Scraper that retrieves url's containing fighter data and stores it in /data/urls
record_scraper.py: Scraper that retrieves fight records from a fighters page and stores it in /data/fighters
path_finder.py: Program that runs a modified Dijkstras algorithm to find shortest win path between
Fighter A and Fighter B
stat_finder.py: Program that retrieves a fighters statistics and data to be visualized
visual.py: Program that creates graphs and statistical visualizations using fighter data
This is a passion project done for non-commerical purposes. I recieved no profit from this app.
All images and statistics are owned by and sourced from ESPN