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Project: predict match-level win/loss outcome at 2019 ADCC.

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ADCC2019_prediction

Project: predict match-level win/loss outcome at 2019 ADCC.

The ADCC Championship happens every two years and is considered the Olympics of submission grappling. The 2019 event concluded with a bang in September and crowned some new and some veteran champions. As an exercise in data science, I thought it would be fun to take the results and see how accurate a machine learning model could predict if a match would end in a win or loss.

Two notebooks and accompanying data. One notebook for the exploratory data analysis and another on model prediction. With the given data, a tuned Logistic Regression model was selected and produced a 70% accuracy score.

Blog Articles on what this means for Brazilian Jiu Jitsu

Limitation: More data on experience and better cleaning on fighter data would enhance this project.

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Project: predict match-level win/loss outcome at 2019 ADCC.

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