We’re back at it with a brand new Brazilian Jiu Jitsu data collection process to lend more insights into how matches were scored and trends at the 2019 World Championships. This time, we used computer vision techniques such as video event detection and optical character recognition to help us collect the points scored in matches and the exact time each score occurred. This blog is part of a larger project where my Crazy 88 teammate, Ashar Nadeem , and I are using a variety of data science tools to collect match data for BJJ. In this blog, we used 87 match videos posted on the International Brazilian Jiu Jitsu Federation YouTube channel from the 2019 World Championships. The matches included black belt male and female Quarterfinal, Semifinal, and Finals matches, arguably the most high stress and meaningful matches of the tournament. This portion of the project was limited to score detection—the points scored and the exact time a score happened—by analyzing a change in the number
I'm a Data Scientist by day, Jiu Jitsu student by night. BJJ Black Belt at Crazy 88 in Baltimore, MD. 9 years of competing at the IBJJF Masters World Champion = 5 Gold (2020 Brown, 2018 Purple, 2017 Blue, 2015 Blue Weight +Open), 3 Silver, 2 Bronze Open. 2019 IBJJF Adult World Medalist Purple Belt. As a data scientist, I work in computer vision, natural language processing, and geek out over sport stats. This blog brings a data-driven perspective to available player, match, and tournament data.