Group pitch movement profiles, usage patterns, and outcomes into cleaner scouting and development views.
Baseball analytics
Baseball
Pitch design, batted-ball modeling, scouting tools, and game-planning support.
Anthony Mui
Baseball Co-Chair
Math of Computation · 2029
Colin Granger
Baseball Co-Chair
Stats & Data Science · 2027
Workstreams
What this team studies
Evaluate batted-ball tendencies, alignment choices, and run-prevention tradeoffs.
Turn public and internal data into matchup plans, tendencies, and pre-series context.
Featured work
UCLA Baseball TrackMan Pitch Plotter & Analytics Suite
An integrated R Shiny analytics suite and pitch-plotting dashboard connected directly to UCLA Baseball's Google BigQuery TrackMan database for pitch shape, movement profiles, release geometry, and batted-ball metrics.
Problem
UCLA Baseball needed a centralized internal platform to query, visualize, and analyze high-resolution optical TrackMan radar tracking feeds across collegiate matchups and intersquad scrimmages.
Approach
The team developed a high-performance R Shiny dashboard backed by Google BigQuery (`baseballdb.trackman`). The suite features interactive multi-dimensional filtering across pitchers, hitters, pitch types, counts, and hit outcomes, paired with ggplot2 and Plotly visualizations of pitch velocity vs. spin rate, release points, catcher's-perspective movement profiles, and pitch location heatmaps.
Result
Open project Enabled players and coaches to evaluate pitch shape, release point consistency, strike-zone command, and swing-and-miss tendencies across thousands of tracked collegiate pitches in real time.
Active projects
Current work
UCLA Baseball TrackMan Pitch Plotter & Analytics Suite
August 29, 2026Baseball · 2025-26
An integrated R Shiny analytics suite and pitch-plotting dashboard connected directly to UCLA Baseball's Google BigQuery TrackMan database for pitch shape, movement profiles, release geometry, and batted-ball metrics.
RShinyGoogle BigQuery
Tool
ToolBaseball
UCLA Baseball Pitcher Performance & Metrics Dashboard
August 29, 2026Baseball · 2025-26
A specialized pitching diagnostic application that calculates advanced sabermetric metrics, quality-of-contact distributions (xwOBAcon, HardHit%), CSW% (Called Strike + Whiff Rate), and count-by-count split performance.
RShinyggplot2
Tool
Archive
Past work
MLB Defensive Shift Analysis
January 23, 2021Baseball · 2020-21
A 2016-2019 MLB shift analysis that models team-level shift usage, builds a shift effectiveness metric, and compares hitter outcomes with and without shifts using regression, random forests, and significance tests.
RRegressionRandom Forest
ResearchArchived