Simulating the Superbowl: Real-Time ML to Predict the NFL

Explore the cutting-edge world of real-time machine learning in sports betting through this 14-minute conference talk. Dive deep into DraftKings' football model for the NFL, focusing on their innovative pricing engines that combine Monte Carlo simulations with ensemble machine learning models to predict play-by-play outcomes. Learn about the MLOps pipelines, model training and deployment processes, and discover how MLflow and Databricks have streamlined their software development lifecycle. Gain insights from Niall Creech, Senior Manager Quants, and Rohan Shanker, Senior Lead Data Science Engineer at DraftKings, as they reveal how sportsbook operators tackle the challenge of offering accurate, real-time betting products in the dynamic environment of live sports.

Simulating the Superbowl: Real-Time ML to Predict the NFL