Box Score Data Collection & Analysis – Pro Insight Pop-Up Run
Background / Problem
Pro Insight hosted a private Pop-Up Run featuring elite high school and college prospects in a closed gym setting. With no official box scores recorded live, there was a need to manually collect, clean, and analyze full player statistics across multiple games to evaluate performance and generate media-ready outputs.
Objective
Collect and organize player box score data for all 6 games across both teams, clean and structure the data, and identify top statistical performers for internal evaluation and public distribution.
My Role
Manually tracked and recorded full box score data using Sportscode film of all 6 games (2 FGA, 2FGM, 3FGA, 3FGM, Off/def rebounds, assists, steals, blocks, personal fouls, and total minutes played).
Standardized and cleaned raw player data for consistency (name formatting, missing values, stat alignment).
Used Excel to organize and compile individual and team stats into a usable database.
Performed stat analysis to identify top performers across key categories (e.g. scoring leaders, rebound leaders).
Delivered final output to the Pro Insight team for use in internal reports, media posts, and scouting evaluations.
Tools & Skills Used
Software: Sportscode, Microsoft Excel, Google Sheets
Skills:
Manual stat tracking from film
Data entry and cleaning
Statistical analysis and leaderboard generation
Attention to detail
Organization and time management under tight deadlines
Outcome
Generated complete box score stats for 6 full games and over 35 players, providing the Pro Insight team with valuable insights into player performance and event impact.
The analysis helped spotlight standout performers and contributed to content shared on social platforms and in internal evaluations.
