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17th February 2026

How Accurate Is Lactate Threshold Testing for Marathon Performance?

By The Edge HPL Team

3 Minute Read

Most runners train to arbitrary pace zones. Some use heart rate. Some use race calculators. 

We recently tested an athlete preparing for Seville Marathon. Using laboratory lactate testing and LT2 analysis, we provided target paces and predicted his marathon finish time before race day.

The result? A 2:47:59 finish within minutes of our physiological projection.

Here’s how.

Why Marathon Predictions Are Usually Inaccurate

Most marathon pacing strategies are based on:

• Recent 5k or 10k race times

• Online calculators

• Generic heart rate zones

The problem is these methods assume everyone has the same physiological profile. They don’t.

For example: Two athletes can both run the same 5km time, but one may have a high VO2max with low lactate threshold, while another may have a lower VO2max but exceptional lactate threshold. How they perform over a marathon will differ and moreover, how they might structure their training could be personalised too. 

Without measuring LT1 and LT2 directly, you are guessing.

Estimates based on short tests:

• Are mathematical assumptions

• Conflate physiology and psychology

• Don’t identify LT1 or LT2 (true metabolic thresholds)

• Can misrepresent long-distance sustainability. For marathon performance, that’s dangerous.

 

What We Actually Measured

For this athlete, we performed:

  • 3 minute incremental step test to determine lactate thresholds
  • Subsequent VO2max testing consisting of 1 minute incremental stages to failure

This allowed us to identify:

• LT1 (aerobic stability point)

• LT2 (upper sustainable metabolic threshold)

Research (Smyth et al., 2020, Med Sci Sports Exercise) shows a strong relationship between critical speed relative to marathon speed and finish time. Slower runners tended to race at a lower percentage of their critical speed (which is not too far from LT2). Faster runners were able to run at a much higher percentage of LT2.

We applied this evidence-based model.

The Prediction

Based on his LT2, training history and current fitness we suggested that the athlete could sustain between 85-90% of his LT2:

85% of LT2 → 2:54:55 (4:08/km pace)

90% of LT2 → 2:45:20 (3:55/km pace)

Projected competitive window: ~2:46–2:55

Actual Seville 2026 finish time: 2:47:59

That sits directly within the predicted physiological range and the athletes pacing was consistent over 42.2km.

This wasn’t a guess. It was anchored to measurable metabolic data.

 

Why This Works

Marathon performance is largely governed by:

• Fractional utilisation (how close you can race to LT2)

• Durability

• Glycogen depletion and carbohydrate intake

• Lactate production vs clearance balance

As shown in the research and outlined in our endurance framework:

• VO2max alone is not enough

• Estimates dont identify personal metabolic thresholds

• Threshold running speed changes differently to VO2max with training

• Marathon pacing must preserve metabolic stability

 

Marathon racing sits in a narrow metabolic band.

If you don’t know your band, you’re gambling.

 

What This Means for Runners

Lactate testing allows you to:

• Train at true physiological zones

• Anchor long runs correctly

• Avoid overestimating sustainable pace

• Fuel based on substrate utilisation

• Race without guesswork

For serious endurance athletes, this removes ambiguity.

You’re not chasing arbitrary pace. You’re training the system.

 

Who This Is For

• Marathon runners

• Competitive age group triathletes

• Long-course endurance athletes

• Coaches wanting precise athlete profiling

 

If you’re preparing for a marathon and want clarity on:

• Your true sustainable race pace

• Where your lactate thresholds sit

• Whether you’re limited by VO2max or fractional utilisation

• How to fuel correctly

Book a VO2max & Lactate Threshold Test at The Edge.

Replace guesswork with measurable physiology. 

The Edge HPL Team

Recommended Reading

Smyth B, Muniz-Pumares D. Calculation of Critical Speed from Raw Training Data in Recreational Marathon Runners. Med Sci Sports Exerc. 2020 Dec;52(12):2637-2645. doi: 10.1249/MSS.0000000000002412. PMID: 32472926; PMCID: PMC7664951.

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