
Devon Yanko
Javelina Jundred
Devon's headline numbers
Devon's strategy
Fueling
T - 1-4hrs: Ate a carb rich meal (Low in fat & fibre)
Devon would benefit from taking in a final dose of carb <30 minutes before
"My energy was very good for the most part. But, gels weren’t doing it for me about halfway through the race. Perhaps in humid conditions a drink mix would’ve been better."
Devon averaged ~76g of carbohydrate per hour over 14 hours in Arizona. Although current guidance for events longer than 2.5 hours is 60 to 90 g/h, as a professional athlete, running at a fast pace across the 100 mile race, 90g/h of carbohydrates would have supported her energy levels and performance far better. Three PF 90 Gels in the first ~20 mile lap put her at ~97g/h, and she then held ~85g/h through laps 2 and 3, even though by then gels had lost their appeal as flavour fatigue took its toll. That's very common in an ultra, so Devon started to incorporate more cola, ginger ale and energy drinks from the aid stations. Her lap 4 eased to ~70g/h but stayed consistent, helping her maintain pace and avoid any dips in energy. During the last lap, her intake dropped out of the recommended range to ~47g/h, likely due to logistics and fatigue, as this was over 10 hours into the race. This didn't slow her down, in fact, impressively she ran it faster than her penultimate lap (8:31 minutes per mile vs 9:14/mi). Devon thought a Carb & Electrolyte Drink Mix might have worked better in the humidity, and it’s definitely worth practising in training to avoid the drop in consumption and help her continue to get carbs on board when other fuel sources aren’t working.
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.
Drinking a strong electrolyte drink before the race could have helped Devon start optimally hydrated
"I couldn’t stick entirely to my plan and I feel like there might’ve been some adjustment that could have helped with how my legs felt. It’s possible I should have drank more the day before the race."
Javelina is normally hot and dry. This year, the average temperature was 20°C with 81% humidity and rain. The rain and lower temperatures meant Devon probably sweated less than she would in typical Javelina conditions, but it’s worth noting that sweat evaporates less in humid air so it cools you less. Lap 1 was her lowest fluid intake at ~576 millilitres per hour and lap 2 the highest at ~1.1L/h. Laps 3 and 4 were ~970ml/h to 1L/h and lap 5 ~685 ml/h. We don't have her exact sweat rate so we can't say how closely this matched her losses, but it looks sensible for the conditions and matched subjectively how she felt as she didn’t suffer from any hydration-related issues.
Devon’s sodium intake came mostly through Electrolyte Capsules as she aimed for the relative sodium concentration of her intake to be ~1,000mg of sodium per litre of fluid, although she averaged slightly higher than this. Over 14 hours of steady drinking that's no bad thing, as it lowers the risk of diluting her blood sodium. A Sweat Test would give us her sweat sodium concentration instead of an estimate, and this would help her dial in her hydration strategy. If she's saltier than average she might need more sodium per litre, and if she's lower she could carry fewer capsules.
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.
T - 0-4hrs: Had a final hit of caffeine
Devon consumed ~6.1milligrams of caffeine per kilo of bodyweight during the race, along with a small dose from her coffee with breakfast. The range shown to help endurance performance is 3 to 6 mg/kg, although for a race of this duration it’s likely a little more would’ve been beneficial since caffeine has a half life of 4-5 hours. Devon sensibly spread her intake out across the race, so she had no caffeine on lap 1, ~0.6 mg/kg on lap 2 from cola, then ~1.25, ~1.6 and ~1.5 mg/kg on laps 3, 4 and 5 respectively, from cola and energy drink. Saving it for the second half of the race meant she gained the benefits when fatigue was building, and the smaller regular doses were easier on the stomach than one big one. She said she felt sharper than she ever has at this distance, and that the caffeine helped with that. Nearly all of her caffeine came from soft drinks, so if she uses a drink mix for the second half next time, she'll need to get caffeine from somewhere else like PF 30 Caffeine Gels.
How Devon hit her numbers
Here's everything that Devon ate and drank on the day...
Final thoughts
“This is the sharpest and most mentally on it I’ve felt in a race of this distance.”

“Given the unexpected rain and humidity meant Javelina conditions were different to usual, Devon adapted her strategy well to finish 5th. She swapped gels for drinks when she went off them to ensure she kept fueling, and she consumed more Electrolyte Capsules alongside her sodas to keep her sodium up. Next time, we'd suggest adding a Carb & Electrolyte drink mix to the plan, as well as the addition of another caffeine source to maximise the performance enhancing effects of the stimulant.”
Devon's full stats
Data Confidence
We rate each of our case studies from 1-5 based on the level of accuracy, and our confidence in the data.
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.