
Jane Maus
Black Canyon 50km
Jane's headline numbers
Jane's strategy
Fueling
T - 1-4hrs: Ate a carb rich meal (Low in fat & fibre)
T - 15mins: Took in a final dose of carb
"I had no dips in my pace or energy levels."
In her first race of the 2026 season, Jane was able to sustain close to 60g of carb per hour over the 50km distance to support her race-winning performance. Even though she experienced some GI discomfort during the race, she was still able to keep on top of her fueling and avoid a dip in her carb intake across the second half of the race (averaging ~56g/h over the first 19 miles and ~64g/h to the finish). In the build up to the race, Jane didn’t complete many long run sessions where she was able to practice her fueling strategy, which would have been helpful in mitigating against what she experienced on race day. As the season progresses and especially ahead of her longer ‘A’ races, Jane should use targeted race simulation sessions to train her gut to incrementally build her tolerance from 60g/h, to 75g/h and ultimately 90g/h to keep her working 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.
T - 60mins: Drank ~500ml of strong electrolyte drink
"I had some GI discomfort during the race which is why I switched to plain water."
In Arizona’s mild conditions, Jane used two 500ml flasks containing PH 1500 (Drink Mix) and water to replace her moderate fluid and sodium losses across the ~3 hours 50 minute race, averaging ~587ml/h and ~605ml/h over the first and second half of the race respectively. In future, Jane should collect specific data on her sweat rate during some of her training runs at race intensity. This would ensure she is replacing enough fluid to avoid too great a level of dehydration, especially during hotter races, as this can play a role in GI comfort (carbohydrates require fluid to aid absorption).
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
Similar to what she did ahead of the World Mountain Championships at the end of 2025, Jane utilised caffeine on race day in the form of two PF 30 Caffeine Gels. By spreading these doses out, she maintained her caffeine levels to benefit from the stimulant’s ergogenic effects right to the finish. She could consider one additional PF 30 Caffeine Gel as her pre-race carb dose to stay within the recommended range but also spike her caffeine levels from earlier in the race.
How Jane hit her numbers
Here's everything that Jane ate and drank on the day...
Final thoughts
“I was very happy with the win and ran 3 minutes faster than my goal time.”

“Jane’s first race of the season was a strong one, taking the win in 3:47:04. Her fuel and hydration strategy was kept deliberately simple and executed well. This provides a solid baseline to build from as the year progresses, especially with the help of specific gut training to increase her carb intake as she gets closer to longer, warmer races where maintenance of energy levels will be critical for performance.”
Jane'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.