Athlete Lab UK

Four of the most referenced papers in sports science recently...

ON ZONE 2
Popular fitness media calls Zone 2 the "mitochondrial sweet spot." This review pushes back: when training volume is matched, higher intensities produce equal or greater mitochondrial and fat oxidation signalling. The catch is that most elite athletes built their aerobic base on Zone 2 volumes most of us will never log. Our take: Zone 2 still earns its place for recoverable volume and durability, it's just not a standalone mitochondrial fix for someone training 3-5 hours a week.

ON THE METABOLIC CEILING
Building on a well known 2019 finding that sustained output flattens to around 2.5x basal metabolic rate by roughly 28 weeks of continuous extreme effort, this paper tracked 14 elite ultra-athletes for up to a year. Multi-day events pushed some to 6-7x BMR briefly, but averaged over a year the group sat right back near 2.4x. Context matters though: Tour de France riders sustain 4.3-5.3x BMR across 23 days, because three weeks is nowhere near 28. The likely mechanism is part digestive limit, part something stranger, the brain quietly dialling down fidgeting and restlessness to fund the main effort. Multi-day fuelling plans should respect this. Gut tolerance is probably your real limiter, not leg fatigue.

ON TRAINING INTENSITY DISTRIBUTION
A systematic look at polarised, pyramidal and threshold models. None wins outright, fit depends on event distance and training phase, and the literature increasingly supports shifting distribution across a season rather than locking into one model. This is the academic backing for why your zone prescription should change phase to phase rather than staying fixed from January to race day.

ON ENDURANCE IN OLYMPIC WINTER SPORTS
Published ahead of Milano-Cortina 2026, this paper splits sports into "endurance limited," where the aerobic engine IS the performance (XC skiing, biathlon), and "feeder function," where it just supports recovery and training tolerance for the actual skill (freestyle, sliding sports). It pushes for individualised, data led prescription over generic templates.

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Just a selection of our hundreds of tests performed so far across our 3 London locations.

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He trained for months. He'd been tested. He still fell apart.🚨

And here's what makes this case particularly important — The methodology was sound in principle.

But the analyser was inaccurate. And critically, there was no cross-validation — no concurrent lactate profiling, no comparison against performance metrics, no sense-check against training RPE or race history.

There's a further point worth making. To an experienced practitioner, the numbers themselves should have raised questions. VT1 was identified at an intensity unusually high for an athlete of his training background — the kind of value that prompts a second look, a cross-reference with lactate, a conversation about training history. That scrutiny never happened. The data was accepted, the zones were issued, and the athlete had no reason to doubt either.

This is what separates rigorous testing from testing that merely looks rigorous.

But you can only catch that discrepancy if you have the experience to know what the numbers should look like in the first place.

Good testing isn't just about having a methodology or the 'kit'. It's about understanding the data and how to use it correctly.

Data + insight = success

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