Programs

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