🚀 Excited to share my latest analytics project — a fully interactive Weightroom Shiny App designed to connect strength data with on-field performance.
Built in R, this app visualizes training trends, workload patterns, and individualized athlete progress to support data-driven player development.
My goal is to continue building systems like this that help MLB organizations integrate performance, pitching, and player data into one development pipeline.
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🧠 Presentation Overview
1️⃣ Technical Foundation:
Built in R with reactive programming, caching, and robust error handling for real-time data visualization.
2️⃣ Performance Analytics:
Tracks six key metrics (bodyweight, bench press, split squat, deadlift, broad jump, grip strength) with percentile rankings, improvement tracking, and relative strength analysis.
3️⃣ Visualization & UX:
Designed for coaches — fast, intuitive dashboards with progress summaries, leaderboards, and milestone achievements.
4️⃣ Goal Tracking & Reporting:
Coaches can set individualized targets and instantly generate professional PDF reports with athlete profiles, percentile ranks, and progress metrics.
5️⃣ Scalability & Application:
Modular, optimized codebase that can integrate biomechanics, mound data, or other performance systems across player development pipelines.
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This project reflects my commitment to bridging analytics, technology, and athlete development — helping MLB organizations turn performance data into competitive advantage.
💻 Demo visuals below — built entirely in R Shiny using real performance data.
#MLB #BaseballAnalytics #PlayerDevelopment #PerformanceScience #PitchingDevelopment #RShiny #SportsAnalytics #DataDrivenDevelopment
@MurrayCollin @CombineBase