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Matthew Marquardt

IRONMAN 70.3® World Championships

28th October, 2022USASt George3rd, M25-29

Matthew's headline numbers

~126g
Carb per hour
Recommended 90g/h+
~972ml
Fluid per hour
Recommended 500-1,000ml/h
~692mg
Sodium per litre
Recommended 500-900mg/L
~4.1mg
Caffeine per kg
Recommended 3-6mg/kg

Matthew's strategy

Fueling

Carbohydrate is the main fuel you burn when racing. Failing to fuel properly is a leading cause of underperformance in longer races.
Carb-rich meal

T - 1-4hrs: Ate a carb rich meal (Low in fat & fibre)

Pre-fueled

T - 15mins: Took in a final dose of carb

Carb per hour
Recommended 90g/h+
~126g
Matthew's Energy Rating8/10

"I had a low point during the back half of the swim but felt good on the bike and run. "

Our thoughts

Consuming a varied intake of both ‘slow release’ starch and rapidly absorbed glucose:fructose carb sources, Matthew averaged an impressive carb intake this race, peaking at ~145g/h on the bike, before dropping down to ~110g/h while running. He was able to tolerate a very similar intake to this (~120g/h) at the full IRONMAN® World Championships in the extreme conditions of Kona just two weeks prior, again with no GI distress. This is a prime example of an athlete benefiting from gut training to allow for higher carb intakes, and practicing his strategy over and over again in training to prepare his stomach to handle it well on race day.

Hydration

Taking on board an appropriate amount of fluid and sodium is essential to maintaining blood volume and supporting the cardiovascular effort needed to perform on race day.

Whilst the absolute amount of sodium and fluid consumed per hour is important, it’s critical to consider these in relation to each other. This is known as 'relative sodium concentration' and it’s expressed in milligrams per litre (mg/L). How much sodium you’re taking in per litre of fluid is more important than the absolute amount taken in per hour.

Matthew655mg/L

Matthew has been Sweat Tested to dial in his hydration plan

Sweat sodium concentration (mg/L) is largely genetically determined and remains relatively stable. Knowing how salty your sweat is enables you to replace a good proportion of your sweat losses, which can range from 200-2,000mg/L.

Whilst Matthew's losses are on the low side, getting his hydration strategy right is still important if he wants to perform at his best.

Learn more
Didn't pre-load electrolytes

Drinking a strong electrolyte drink before the race could have helped Matthew start optimally hydrated

Fluid per hour
Recommended 500-1,000ml/h
~972ml
Sodium per litre
Recommended 500-900mg/L
~692mg
Matthew's Hydration Rating8/10

"No matter the weather, my top priority was to execute my race strategy. It can be really difficult to eat and drink when it is so cold and your hands barely work, but I know from experience in training and racing that getting in enough fluid and fuel is crucial to perform. "

Our thoughts

Matthew didn’t preload with a strong electrolyte drink like PH 1500. Given the performance enhancing benefits associated with inducing a small amount of hypervolemia (i.e. water retention), we’d recommend he uses this strategy ahead of his next race to ensure he’s starting optimally hydrated. During this race, he planned to follow a similar hydration strategy to his performance in Kona, although the weather conditions this time were approximately ~22°C / 72°F colder. The difference in environmental conditions was reflected in his reduced sweat rate, meaning his average fluid intake dropped by ~16%, from ~1.16L (39oz) per hour in Hawaii to ~972ml per hour in Utah, without experiencing any hydration related issues. Matthew did have some cramping when transitioning from the bike to the run, but it’s unlikely due to hydration because of his appropriate intake and mild weather. It’s more likely to have occurred due to one of the many other factors known to cause cramp, such as accumulated muscle fatigue.

How Matthew hit his numbers

Here's everything that Matthew ate and drank on the day...

Before race (>30 mins)
  • 1 x Cup of oatmeal
  • 1 x Cup of berries
  • 4 x Eggs (3 whites, 1 whole)
  • 340ml x Protein shake
Pre-race (<30 mins)
  • 1 x Energy gel (25g carb)
  • 500ml x Energy drink mix serving (29g carb)
Bike
  • 470ml x Plain water
  • 2 x Energy gel (25g carb)
  • 1 x Energy gel with caffeine (25g carb, 100mg caffeine)
  • 1 x Energy gel (22g carb)
  • 500ml x Energy drink mix serving (58g carb)
  • 1.3L x Energy drink (36g carb)
  • 500ml x Lemon and lime energy drink mix (100g carb)
  • 2 x Electrolyte capsules (215mg sodium)
Run
  • 550ml x Plain water
  • 2 x Energy gel (25g carb)
  • 2 x Energy gel with caffeine (25g carb, 100mg caffeine)
  • 350ml x Energy drink (22g carb)
  • 200ml x Cola
  • 1 x Electrolyte capsules (215mg sodium)

Final thoughts

Matthew's Satisfaction Rating4/10

It’s always frustrating when a performance is negatively impacted by factors other than the body’s ability to perform, but unfortunately the things that happened to me do happen, and it’s a learning experience to make sure it never happens again.

Matthew

In the end, Matthew finished just 45 seconds behind 1st place, meaning on another day he may have been crowned a double age group World Champion within just three weeks! In the future we’d like to see how his perceived hydration levels might change after preloading with a stronger electrolyte, but overall he executed his fuelling and hydration strategy really well. Matthew is satisfied with what he’s been able to achieve this season and can’t wait to race again in 2023.

PF&H

Matthew's full stats

Overall
507g total carb126g per hour
3,903ml total fluid972ml per hour
2,701mg total sodium672mg per hour
692mgSodium per litre
316mg total caffeine4.1mg per kg
Bike and Run
Bike
Run

Data Confidence

We rate each of our case studies from 1-5 based on the level of accuracy, and our confidence in the data.

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There is an adequate level of accuracy in the data collected and the numbers reported. The athlete manages to recall what they ate and drank including most specifics (brands flavours quantities plausible estimations of volumes). However there are estimations made within the data which affect the overall confidence level in the data reported.

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