Inspiration
Using data analytics to tell a deeper story behind every swing.
What it does
We introduce the Swing Efficiency Disruption evaluation based on metrics behind every swing.
How we built it
We trained a model on data derived from the MLB 2024 season, analyzing how predictors such as pitch type, release velocity affected the swing efficiency of each swing.
Challenges we ran into
Even after engineering for the most prominent predictors, we were still left with 300,00 rows that required several hours to train.
Accomplishments that we're proud of
We accomplished strong accuracy scores across multiple models, and statistics
What we learned
That Swing Efficiency Index and Disruption have great potential to be used as metrics alongside player performance.
What's next for Swing Efficiency Disruption Analysis
SED analysis could be used for practical applications, such as player development or team composition.
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