Our team is driven by our passion for the relationship between baseball and analytics.
What it does
Our product predicts MLB attendance based off a number of factors.
How we built it
We built our product with R
Challenges we ran into
Protecting our model from being overfitted and having multicollinearity between the independent variables.
Accomplishments that we're proud of
Meeting the project requirements with a fresh perspective upon baseball attendance.
What we learned
Iterated through a large list of potentially relevant variables to determine which of them had impact on an MLB game.
What's next for MLB Attendance Regression
-Using our predictive attendance model to allow teams to dynamically price tickets -Teams can increase game attendance by focusing on the factors in our model -Build a relationship with vendors at MLB games to use our model to accurately supply food/merchandise -Pull in data from Twitter to assess fan sentiment leading up to a game