Project
Sports Analytics

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

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