Volleyball analytics

Volleyball

For two years, BSA has partnered with UCLA men's and women's volleyball on work that supports coaching decisions with clearer, faster information.

Beck Zimmerman

Beck Zimmerman

Volleyball Chair

Stats & Data Science · 2027
Workstreams

What this team studies

Rotation efficiency

Compare lineup rotations, sideout patterns, and rally outcomes across match states.

Serve target maps

Identify serve-receive pressure points and target tendencies for match preparation.

Rally transition value

Track how first contact, transition choices, and attack quality shape point outcomes.

Featured work

Volleymetrics Spring 2026

An advanced volleyball analytics pipeline and R Shiny dashboard built with UCLA Athletics, turning DataVolley scouting files into custom reception, offense, serving, blocking, and clutch-performance metrics.

Problem

UCLA Volleyball needed a reusable way to turn raw DataVolley scouting files into coaching-ready metrics across serve receive, attack quality, serve pressure, blocking influence, and late-set performance.

Approach

The team built an R pipeline that batch-loads DataVolley files with datavolley, combines roughly 100 matches into a season-long play-by-play table, derives custom metrics like SPI, SEI, OSS, BIS, passer rating, and clutch leaderboards, and surfaces results in a multi-tab Shiny dashboard.

Result

The dashboard gives analysts and coaches sortable leaderboards, team reports, and ggplot2 visualizations for serve zones, serve types, blocking trends, setter-hitter efficiency, and pressure-situation performance.

Open project
Active projects

Current work

Volleymetrics Spring 2026

September 7, 2026
Volleyball · 2025-26

An advanced volleyball analytics pipeline and R Shiny dashboard built with UCLA Athletics, turning DataVolley scouting files into custom reception, offense, serving, blocking, and clutch-performance metrics.

RShinydatavolley
Tool