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Iris Pessey

Pro

MCC by UTMB

26th August, 2024
France
Martigny-Combe
1st, FPRO
Running, Trail - 40km
22°C
, Hot
4hrs 12mins
more race details

Iris' headline numbers

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?
?
~58
g
Carb per hour
Recommended 75g/h
~534
ml
Fluid per hour
Recommended 750-1,250ml/h
~923
mg
Sodium per litre
Recommended 500-900mg/L
~2.1
mg
Caffeine per kg
Recommended 3-6mg/kg

Iris' 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
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T - 1-4hrs: Ate a carb rich meal (Low in fat & fibre)
pre-fueled
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T - 15mins: Took in a final dose of carb
Carb per hour
Recommended 75g/h
~58
g
Iris' Energy Rating
6
/10
"I paced it really slow to begin with, so managed to build my way into the race, but I was really needing more energy by the end."
Our thoughts

Iris began the MCC more slowly than her previous race three days earlier, in which she set off too fast and suffered later in the race as a result. She paced the race better in Chamonix, and gradually made her way through the field to take victory. She arrived at the start line with fully topped up glycogen stores, following a decent weekend of recovery and carb-loading. She consumed around a quarter of a PF 90 Gel pre-race as a final dose of carbs before the gun went off. Iris felt her energy levels were consistent until the final hour of the race, when they really dropped off. This may be because of her slightly lower than recommended carb intake mid-race, taking just ~58g per hour. Adding a couple more PF 30 Gels to her running belt would help her hit the ~75g/h target for a race of this intensity and duration and help her keep pushing harder for longer.

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.

Iris716mg/L
Iris has been Sweat Tested to dial in her 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 Iris’s losses are on the low side, getting her hydration strategy right is still crucial when it’s hot and/or humid as her higher sweat rate in these conditions can result in significant net losses over the duration of a race.

Learn more
Didn't pre-load electrolytes
?
Drinking a strong electrolyte drink before the race could have helped Iris start optimally hydrated
Fluid per hour
Recommended 750-1,250ml/h
~534
ml
Sodium per litre
Recommended 500-900mg/L
~923
mg
Iris' Hydration Rating
5
/10
"At the finish I was craving water and I was SO thirsty. I think my hydration could have been much better, and it was really hot."
Our thoughts

Warm conditions on race day (~22℃ / 72℉), coupled with Iris’s moderate sweat volume and sodium losses, meant her net fluid and electrolyte losses were not insignificant over this duration of race. Ahead of her next race, she may look to pre-hydrate more appropriately and also rehydrate more effectively from her previous race by reducing the volume of plain water she drinks the evening and morning before. Instead of drinking plain water, she could implement a preloading protocol using a high-strength sodium drink. Her mid-race strategy was likely appropriate, but her dehydrated state on the start line likely contributed to her thirstiness on the finish line. Perhaps reducing the ‘saltiness’ of her drinks slightly mid-race to more closely match her sweat sodium concentration could also help with this.

Caffeine

Beyond the Three Levers of Performance (carb, sodium and fluid), caffeine is one of only a few substances that is proven to improve performance for most endurance athletes as it can help stave off mental and physical fatigue.

Pre-caffeinated
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T - 0-4hrs: Had a final hit of caffeine
Caffeine per kg
Recommended 3-6mg/kg
~2.1
mg
Our thoughts

Iris had a double espresso around two hours before the race began, which has roughly the same caffeine content as one of our PF 30 Caffeine Gels at ~100mg. This, combined with her Caffeine Gel mid-race, meant she likely had an adequate amount of the stimulant in her system to reap the associated ergogenic benefits.

How Iris hit her numbers

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

Iris' weapons of choice

Final thoughts

Iris' Satisfaction Rating
8
/10
I can’t be too disappointed as I won, but I know there are a few things I could do better next time. I’ve also got an ultramarathon two weeks after this race so hopefully I can take my learnings into that.
Iris
Iris fought her way back from a shoulder injury in February and was coming off the back of another tough race just three days prior. She admitted pacing that race poorly and hurting her legs a lot which will have impacted the result at this event. Despite this, she did very well under the circumstances to take the victory. In future, adding some PH 1500 to her pre-race routine and another PF 30 Gel to her race plan will help her prepare for, and execute, a more consistent performance from a perceptual standpoint in the future.
PF&H

Iris' full stats

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Overall
246g total carb
58g per hour
2,250ml total fluid
534ml per hour
2,078mg total sodium
493mg per hour
923mg
Sodium per litre
100mg total caffeine
2.1mg per kg

Data Confidence
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We rate each of our case studies from 1-5 based on the level of accuracy, and our confidence in the data.
1
2
3
4
5

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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