Matt-Tometz-Sport-Science-Portfolio

Matt Tometz, MS, CPSS, CSCS

Sport Science Portfolio

“Helping athletes and coaches take control of their sports story” – that’s why I’m here. As an ex-college baseball walk-on who ended up playing in the DII College World Series just 9 months later, I know how powerful a story can be. I may not remember all my stats, but the moments, the highs, and the lessons still evoke the same feelings when I tell the stories now. Now, I’m driven to help others build their own unforgettable stories in high performance through coaching and sport science.

Balancing the extremes of publishing academic research with the hands-on world of coaching, I’ve learned to blend both and find the truth in the middle. The objectivity of data and the subjectivity of collaboration make sport science an exciting challenge, and I’m passionate about applying these insights in real-world settings through coaching. My goal is to make sport science practical and my coaching more reliable so athletes and coaches can achieve the best possible outcomes.

Data Analytics Projects

Force Plate CMJ Visualization

Objective: create a visualization to communicate CMJ data to an athlete
Attached R Markdown document for full code, visuals, breakdown of process, and breakdown of interpretation/practical applications
Link to CMJ Markdown

GPS Distance Trends Visualization

Objective: create a visualization to communicate GPS/high speed distance trends with sports performacne professional to guide decision-making in future
Attached R Markdown document for full code, visuals, breakdown of process, and breakdown of interpretation/practical applications
Link to GPS Markdown

Load Monitoring Web-Based Dashboard

Objective: create a web-based (password protected) dashboard accessible to coaching staff for quick access to training recommendations based on heart rate data
Deployed through Github with Python code, hosted on Streamlit
Screenshot of Dashboard

1080 Sprint Load-Velocity Profiling

Objective: take load-velocity profiling data from the 1080 Sprint to individual profiles and generate group averages to influence loading prescriptions for resisted sprints.
Practical Applications: help coaches more quickly and effective select loads for resisted sprint training for both individual athletes to better tailor their loading prescriptions, as well as for large groups when the time to profile each athlete might not be available.
Link to R Script
Link to Group Averages
Link to Individual Profiles

Velocity-Based Training Squat Load-Power Profiling

Objective: take squat data from training from a variety of squats including the variables of load, velocity, and power to calculate both the percent of estiamted 1-rep max and velocity for max power.
Practical Applications: help coaches prescribe training guidelines for Power Development blocks, regardless of if velocity-based training technology is (max power velocity) or is not (max power percent of estimated 1-rep max) available.
Link to R Script
Link to Results

Force Plate Visualizations

Objective: visualize 2 different force plate metrics over time to give a quick snapshot of the team’s performance throughout the year based on position group.
Practical Applications: help coaches retroactively evaluate high and low periods of training, reflect on unavoidable/confounding variables like in-season travel, etc. to proactively prepare for the highs and lows throughout future academic calendars.
Link to R Script
Link to Results
Plot for Jump Height
Plot for mRSI

Sprint Force-Velocity Profiling Decision-Tree

Objective: quantitatively and visually map out thresholds and consequent programming based on sprint force-velocity profiling results
Sprint FVP Decision-Tree

Sport Science Project Write-Ups/Articles

Objective: give thorough details in a research article-type format following introduction, methods, data, results, and discussion to share findings and insights from real-world performance case studies
Load-Velocity Profiling on the 1080 Sprint: Everything You Need to Know
Where is Max Power in Sprinting?
Are Athletes Actually Faster When They Race?
Daily Vertical Jumps: What Percentage of an Athlete’s Best?

Research

Validation of Internal and External Load Metrics in NCAA D1 Women’s Beach Volleyball

Objective: Be the first study in women’s college beach volleyball, and first load monitoring validation study in all of beach volleyball, to validate sRPE Load and Distance Covered to Heart Rate Load (TRIMP)
Implications: Provide beach volleyball athletes with an affordable and scalable way to monitor load (sRPE Load) based on it’s high correlations with both objective internal (TRIMP) and external (Distance Covered) loads.
Master’s Thesis Published in JSCR

Relevant Skills and Exposures

Performance Technologies

1080 Sprint
VALD NordBord
Hawkins Dynamics Force Plates
Gymwaware and Enode VBT
VALD, Swift, and Dashr Timing Lasers
Swift EZE Jump Mat
Polar Team Pro heart rate monitors
Daily Wellness Questionnaires
sRPE Questionnaires
Pocket Radar

Coding/Software

R
Python
Microsoft Excel/Google Sheets
FYTT and TeamBuildr
Kinovea