Football:
1. Scouting Reports
○ Data analysis for practice and games
○ Gathering of internal and external data 
○ Compilation of scouting reports to aid in game prep
○ Automation of scouting reports
2. Projects
○ Advanced analytics investigations of individual players
○ Creation of potentially new scouting reports
○ Conveying information through charts/graphics
○ Showcasing of projects to staff
3. Additional Tasks Upon Coaches’ Requests
4. Tools Used
○ R and Excel
○ Python and Tableau, as needed
5. Skills and Qualifications
○ Analytically minded
○ Problem-solving abilities
○ Time commitment/flexibility
○ Knowledge in coding or willingness to learn
Men’s Hockey:
1. Scouting Reports
○ Special Teams Analysis 
○ Offensive and Defensive Tendencies
○ Key Player and Goalie Analysis
○ Faceoffs
2. Player and Team Cards
○ Visual summary of every Big 10 player’s individual statistics
○ Visual summary of every NCAA team’s statistics
○ Future expansion to cards for every NCAA player
3. Other Projects
○ Line optimization model
○ Estimated Points Added (EPA) model
○ Open to any individual suggestions!
○ Students who gain experience can work their way up to
more advanced metrics
○ Increased interactions with Coaching Staff
Men’s Soccer:
1. Charting Key Performance Indicators: 
○ Provide coaches with data for use in game preparation
○ ACC Conference Analysis containing data on 10 ACC teams;
statistics generated by position and team
2. Future Program Plans:
○ In need of 3-4 more team members
○ In-depth KPI Analysis with comprehensive reports after each
game played
○ Further analysis of ACC data set
3. Analytics Tools Utilized:
○ R
○ Tableau
○ Excel
Women’s Basketball:
1. Bi-weekly reports for Women’s team listing specific statistics valued by coaching staff:
○ National, Conference, and Top-5 Ranking Statistics 
○ For personal and team usage
2. Automation of Reports:
○ Instant refreshes with new, updated data following play
3. Future Roles & Pursuits:
○ Lineup data using play-by-play statistics
○ Ongoing dialogue with coaching staff
○ Searching for new members and additional
team leader
4. Analytics Tools Utilized:
○ Excel
○ R
○ Tableau
Baseball:
1. Open to anyone — no need to apply to join!
2. Pregame Scouting Reports
○ Hitting
○ Pitching
3. Postgame Reports
○ Hitting
○ Pitching
○ Catching
4. Independent Projects
○ Applying MLB Research to NCAA Data
○ Ad hoc research as requested by coaching staff
5. Analytics Tools Utilized
○ Tableau
○ R
○ Python
6. Sport-Specific Tools Utilized
○ Trackman
○ Rapsodo
○ Edgertronic
○ HitTrax
○ BlastMotion
Volleyball:
1. Primary Tools & Goals: 
○ Establish relationships with coaching staff and team
○ Improve in-game analytics and visualization
○ Improve practice planning and decision-making
○ Use of Data Volley analytics to measure performance
2. Anticipated Analytics Tools:
○ Tableau
○ R
○ Excel
○ Python
Men’s Lacrosse:
1. Primary Goals
○ Provide coaches with scouting and postgame reports for game planning and analysis
○ Find and create new projects with the coaching staff to aid in improvement of player performance
○ Gather data for use in analysis and reports
2. Reports Include:
○ Analysis of offense, defense, faceoffs, and ground balls
○ Creating shot maps and recording statistics for all shots, possessions, and ground balls
3. Analytical Tools Used (No Experience Necessary!)
○ Excel
○ Tableau
○ ScoreBreak (film analysis)
○ Python
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