Inspiration

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

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