Baseball Analytics

2026 · 2026 Competition

School: School of Computer and Information Sciences
Category: Data SciencePrimary

Project Overview

One Liner: Developing an application to provide pitch sequencing strategies for baseball teams

Abstract

The objective of this project is to develop an application that determines the most effective pitch sequencing strategies to maximize pitcher success against opposing batters. The system will analyze pitchers' arsenals, command profiles, and batter tendencies to recommend optimal pitch types and locations tailored to individual matchups.

The final product will include a Pre Game Scouting Report, along with a Simulation screen to allow a user run custom scenarios with our model.

Screenshots

0 image(s)

No screenshots uploaded yet.

Team Members

Seth Richards
Seth Richards
Lead
Andrew Chen
Andrew Chen
Dylan Ferareza
Dylan Ferareza
Mike Madden
Mike Madden
Lucas Duong
Lucas Duong
Nicolo Agbayani
Nicolo Agbayani

Advisors

Filippos Vokolos
Filippos Vokolos