AI Football Play Generator

Scott Bronkema, a former college football player turned software developer, has created an innovative application using computer vision to revolutionize how football coaches analyze plays. His product, known as the automated playbook, identifies player positions and formations, tracks movements, and saves them for further analysis on a digital 'whiteboard.' This tool allows coaches to gain insights into specific player actions, such as a receiver's separation from a defender or defensive coverage types, and includes a feature called Matchup for simulating offensive and defensive scenarios. To overcome challenges in identifying players due to the sport's unique attire, Bronkema developed a custom machine learning model using a dataset he curated, with assistance from Roboflow for improved player detection. The application significantly reduces the time coaches spend on creating Play Cards by automating the player tracking process, offering not only a more efficient workflow but also detailed strategic insights for football teams. Bronkema’s work is accessible on Roboflow Universe, an open-source platform for datasets and pre-trained models.