Customer Stories

Texas Rangers MLB

"We needed a system that gives us true physiological insights without sacrificing training time. Output delivers exactly that. We test each athlete in under 5 minutes, process 65 players in less than 2 hours, and run the same protocol everywhere, from our Arizona facility to a dugout bench on draft day. It's efficient, portable, and scales across our entire organization."

Thomas Gentile
Affiliate Strength & Conditioning Coordinator of Texas Rangers Baseball

Screening 65 Players in Two Hours Without Sacrificing Training Time

"We're able to get 65 players through a screening in two hours or less, anywhere we go."

During amateur draft workouts, the Rangers operate two Output sensors in parallel, moving players through as a station while hitting, throwing, and defensive work continue simultaneously. Start to finish per player: 5-6 minutes. The system delivers the same standardised protocol whether they're testing at their Arizona complex or on a dugout bench during draft season.

Scaling One Protocol Across 200+ Athletes and Multiple Locations

"We're able to see changes in real time and course-correct before they become bigger problems."

Output enables the Rangers to run the same standardised assessment everywhere with no protocol shifts between locations or staff members. Once in the organisation, athletes are tested every 6-8 weeks in season in small groups before training begins. If a player's data shifts meaningfully, the Rangers flag it immediately and investigate. Is it fatigue? Poor sleep? Technique breakdown? Data becomes a conversation starter with medical staff, hitting or pitching coaches, and the player.

Catching Errors in Real Time

"I can see if there's a 30% difference from my last test and immediately check my technique."

Output's real-time feedback shows percentage changes and personal bests, giving coaches an immediate sense check during testing. If a result seems unusually large, they verify technique on the spot rather than discovering errors during data analysis weeks later.

Comparing Athletes to Themselves, Not to Target Numbers

"Comparing the person to themselves is more important."

Rather than relying on population norms, Thomas explains: "You have so many different body types in baseball. A 5'10" pitcher and a 6'7" outfielder will present very differently. You can't apply the same standards to both." Each athlete becomes their own baseline. When a player's hip internal rotation drops 15 degrees, it's not a panic signal, it's a data point that triggers investigation. Context matters: did they gain muscle mass, are they fatigued, is their technique changing?

Turning Mobility Data Into Specific Exercise Decisions

"It's about finding the right exercise for the right person at the right time."

Whilst screening mobility is one thing, it's how you actually use it that makes the difference. Thomas and his team look at the results to prescribe exercise and training programs. If an individual is lacking shoulder external rotation and limited flexion, prescribing a pull up is likely to do more harm than good. Instead they may opt for a single arm pull down variation. Providing individualisation based on their screening results.

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