Contact Us

If you have any questions regarding an All-In Strength program, please contact us. We will respond to your questions as soon as possible. Thank you.

Gabe Sanders, PhD, CSCS

All-In Strength



Burlington, KY

Sport Performance Analytics and Statistics

Sports Science

High performance analysis consulting focused on wearable technology and athlete monitoring. 

About All-In Strength

All-In Strength is a consulting service designed to assist sports science and strength and conditioning professionals with their sports performance research. In addition to research design and analysis consulting, we use our knowledge and experience in strength and conditioning to help high school strength coaches implement balanced and effective strength and conditioning programs.

Applicable Results

Data conclusions should be straight forward, simple to understand, and more importantly, applicable. Understanding your big picture data will enhance your day-to-day operations and periodization structure.

Research Design and High Performance Analytics

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Technology Researched or Data Analyzed

  • NordBord

  • Velocity-Based Technology

  • Jump Mats

  • Vert Jump Monitors

  • Parvo Medics/COSMED VO2 Analyzer

  • Raw Accelerometer Data

  • Fatigue Science Readibands

  • Catapult Sports

  • Polar Team Pro/Wrist-Worn Wearables

  • Zebra Sports Solutions

  • MuscleSound

  • ForceDecks

  • Bod Pod

  • Wingate Tests

Key Performance Indicators

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Customized analytics and presentations help teams identify KPIs from performance, wearable, and questionnaire data to optimize athletic performance on a daily basis. Customized dashboards and data reports help coaches easily understand their athletes workloads. 

Integrated Statistics

Utilizing different statistical analyses, data is broken down to help coaches understand their wearable and performance data so they can alter or enhance their training and practice periodization models. We code, process, and analyze athlete performance data to with the end goal of helping coaches win.

Data Structuring and Statistical Methods

  1. Comparison analyses

  2. Mixed-model analyses

  3. Predictive analyses

  4. Comprehensive historical data analytics and breakdowns

  5. Periodization analyses

  6. Correlational analyses

  7. Dual Outcome (Binary) analysis

  8. Max Workload Ranges

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