Analyst and developer · 2026
Personal Golf Coach
Turning my own TrackMan sessions and round data into a specific, prioritized practice plan, and a tool to run it.
Overview
Generic golf instruction ignores what actually costs a player strokes. This project analyzes real TrackMan range sessions and full round scorecards to find the highest-leverage fixes, then packages the findings into a practice-companion web app for executing the plan on the range.
What I Built
- Analyzed round-level scoring data (pars, bogeys, doubles, putts) across multiple rounds to isolate where strokes actually go, finding that blow-up holes, not bogeys, were the main scoring cost.
- Quantified the cost of blow-up holes directly: capping every double-or-worse at bogey would have turned a 96 into an 86 in one tracked round, reframing the priority from swing changes to course management.
- Isolated three-putt rate and lag-putting distance control as a specific, quantified leak, separate from an already-healthy one-putt rate.
- Analyzed TrackMan carry distance, dispersion (standard deviation and offline miss), and spin by club to identify the highest-value swing fix (a two-way driver miss) and a real distance gap in the bag around 100 yards.
- Built a self-contained practice-companion web app (installable, mobile-first) that turns the analysis into gapping charts, a yardage-based recommendation tool, and a structured practice-session planner.
Tech
Statistical and dispersion analysis of TrackMan and scorecard data; a self-built HTML/CSS/JavaScript web app, mobile-first and installable.
Status
Active. Baseline assessment and bag-gapping analysis are complete; the training plan is in use for summer 2026.
Tech
- TrackMan data analysis
- Statistical dispersion analysis
- HTML
- CSS
- JavaScript
Links
Repository coming soon.