GAIN AN EDGE

Using XGBoost and Monte Carlo simulation I built a model that uses a wide variety of handicapping factors to generate fair odds for horse races.

Using bayesian statistics I built a model to predict outcomes of NFL games that I use to build DFS lineups and find +EV wagers.

Using bayesian statistics I built a model to predict the outcomes of baseball games primarily using the MLB stats API and associated data.

The NCAA Men's Basketball tournament is fun. I've found that it's more fun with analytics. Here I've applied some machine learning for March Madness.

Basketball used to be one of my favorite sports. I watch only occasionally now. I enjoy it even more when my Bayesian model is predicting game outcomes.

Using bayesian statistics (same as the NFL model) I built a model to predict the outcomes of football games. I use to find positive expected value wagers.