Hi! I'm Duston – A US-based MotoGP fan and professed nerd.

At the beginning of each race and throughout the season, I found myself wondering who had a good chance to score a win and who was on track to bring home the World Championship. Pundits and journalists would (occasionally) make gut-based guesses, but I was unable to find data and analytics to quantify a rider's chances of winning. I used my expertise as a professional investor to build the GPLO Model - a predictive analytics model that uses historical data and machine learning to rank riders and forecast the outcome of individual races as well as the World Championship. Finally, a way for MotoGP nerds to unite!

Who is this newsletter for?

• General fans of MotoGP who cannot get enough of the sport, are interested to know who could win the next race or the World Championship, or who are interested in data analytics

• Bettors of MotoGP who want to use a more data-focused approached to betting

• Fans of MotoGP fantasy who want to use data to optimize their teams in order to crush their competition

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