Opponent Adjusted Strength
Simultaneously use the play-by-play data for all teams against their opponents to determine their relative strength.
NCAA Football, Ridge Regression
October 17, 2023
As a perpetually learning data scientist, I thrive on deciphering intricate challenges in sports and business, employing cutting-edge technologies. I trust that exploring my curated portfolio will also offer you fresh insights, as each project has been a profound source of learning for me.
Simultaneously use the play-by-play data for all teams against their opponents to determine their relative strength.
An attempt at using situational play-by-play data and machine learning models to accurately predict the next points scored in a football game.
View each team's relative strength and how it progresses throughout the season.
Tried and tested models that I use to profit off of sports betting and will be making available to others to use.
NHL Moneyline
Profit since 2021 season: 1,166%
Updated December 30, 2023