Here's a quick post-tournament update on our Elo Rating for BJJ . This post is an analysis of the statistical model, not the matches or fighters. Highlights: We accurately predicted a few noteworthy first round matches with our Elo Rating system. Thalison Soares was slightly favored to win over Bruno Malfacine, with a win probability of 54.48%, and beat the long-time reigning Rooster weight world champ. Gabriel Sousa went up a weight class to Feather, but was still favored to win against Gianni Grippo, with a win probability of 65.64%. Manuel Ribamar edged out Espen Mathiesen, with a win probability of 58.80%, and won his first European title. Italo Moura beat Gabriel Figueiro, with a win probability of 54.39%. We correctly predicted 20 first round match ups out of 24 matches, or 83% first round predictions (excluding no shows). Our Elo Rating for BJJ had a predictive accuracy of 72% overall. We calculated the predictive accuracy by totaling 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.