‘Rethinking how we use GPS data: Should non-normative be the norm?’

Author: Thomas Little & Martin Buchheit
Journal: Sportsmith (2026)

As we lean more on technology to guide our training, we risk becoming “slaves to the norms” — sacrificing athletic potential for the comfort of a green light on a dashboard. It’s time to move toward “Sport Science 3.0,” where data informs our coaching intuition rather than replacing it.

Stop training for the dashboard and start training for the game.

QUICK SUMMARY
  • Norms ≠ Optimal: Just because an athlete’s GPS numbers are “in range” doesn’t mean they are prepared to win; it just means they are doing what they’ve always done.
  • The Safety Trap: Over-reliance on “safe” load ranges (like ACWR) often leads to long-term under-training, creating “fragile” athletes who aren’t ready for worst-case match demands.
  • Context over Counts: 500m of high-speed running in a tactical drill is not the same as 500m done in linear “top-up” sprints.
  • GPS Blind Spots: Standard metrics often fail to capture the true mechanical stress of small-sided games (SSGs) and multidirectional movement.

KEY INSIGHTS FOR COACHES

What GPS data gets right

GPS is excellent for “zooming out”—monitoring long-term trends, ensuring players aren’t completely red-lining every day, and providing a shared language for the coaching staff to discuss volume and intensity.

Where coaches go wrong: The “Normative” Trap

We often treat “average” data as the “target.” If the squad average for a session is 6km, we assume anyone at 4km is under-trained and anyone at 8km is at risk. In reality, these “norms” are just reflections of your past sessions, not a blueprint for future success.

The problem with chasing metrics (ACWR & Top-ups)

The Acute:Chronic Workload Ratio (ACWR) has been largely refuted as a “crystal ball” for injury. Chasing a 1.2 ratio or forcing players to do linear “top-ups” after training just to hit a distance target often results in “junk volume.” You might tick the box on the spreadsheet while actually adding unnecessary fatigue without tactical benefit.

Context is King

A player hitting 20m/s in a 1v1 transitional drill is under a different physiological and mental load than hitting that same speed in a straight-line sprint. GPS tells you how much they did, but it rarely tells you how they did it.

The Risk of “Conservative” Management

The safest way to avoid a hamstring tweak this Tuesday is to not run. But that makes a hamstring tear on Saturday a certainty. Being overly conservative to keep players “in the green” prevents the very adaptations (robustness and speed) required to survive the demands of elite competition.


PRACTICAL APPLICATION
STOPSTARTKEEP
Doing “top-up” runs just to satisfy a daily distance target.Designing drills that naturally elicit the physical demands you want (e.g., pitch sizing).Using GPS to monitor “worst-case scenarios” in matches.
Making decisions based solely on a “Red/Yellow/Green” dashboard.Asking: “Does this GPS number match the intensity I saw with my eyes?”Tracking long-term volume to prevent massive, unplanned spikes.
Prioritizing “injury prevention” over “performance development.”Accepting that high-performance training carries a calculated risk.Using data to start conversations between medical and coaching staff.

REAL-WORLD EXAMPLES
  1. The “Top-Up” Fallacy: A winger misses his high-speed running (HSR) target by 100m. Instead of making him run 100m in a straight line after practice (low transfer), include him in a high-intensity 2v2 transition game for 3 minutes. He gets the meters and the agility/decision-making load.
  2. SSG Underestimation: A Small-Sided Game (3v3) on a tight pitch might show “low” GPS speeds, leading a coach to think it was an easy day. In reality, the mechanical load (accelerations, decelerations, and cuts) was massive. Trust the intensity of the game over the lack of “top speed” on the chart.
  3. The Rehab Trap: A player returning from injury hits all their “normative” speed markers on a track but hasn’t performed a reactive cut or contested a header. They are “GPS fit” but “game fragile.”

KEY TAKEAWAYS
  • Data is a flashlight, not a steering wheel. Use it to see where you are, not to dictate where you must go.
  • Build robust athletes, not safe ones. True injury prevention is the result of high-level preparation, not load avoidance.
  • The “Average” is the enemy of the “Elite.” Don’t let squad norms cap the potential of your best athletes.
  • Focus on movement quality. How a player moves matters more than the distance they covered.
  • Trust your eyes. If a session looked intense and sharp, don’t let a “low volume” GPS report tell you it was a bad session.

“We are in the business of winning games, not winning spreadsheets.”

This video provides a foundational understanding of how to use GPS metrics to monitor performance and fatigue, offering a practical bridge between data collection and coaching decisions.

This summary was generated with the assistance of Gemini based on the original article, with the aim of translating the research into practical insights for coaches and practitioners.

Niels de Vries
Niels de Vries
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