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30th

Tom Bishop's scorecard

PTO US Open

Sunday 18th September, 2022

Within recommended ranges

Just outside recommended ranges

Significantly outside recommended ranges

  • 83g

    Carb per hour
  • 856mg

    Sodium per hour
  • 863ml

    Fluid per hour
  • 992mg/L

    Relative sodium concentration
  • 0mg

    Total caffeine
  • How Tom hit those numbers

    finish
    star
    bottle
     
    500ml x PH 1500 (Tablet)
    200ml x PH Energy Drink Mix
    2 x Cups of Coffee
    2 x English Muffins with Jam
    80g x Cereal with Milk
    500ml x Water
     
     
    250ml x PH 1500 (Drink Mix)
    1 x PF 90 Gel
     
     
    *** Review technique if drinking much at this point!
     
     
    2.25L x PF Energy Drink Mix
    2.33 x PF 30 Gel
    500ml x Plain water
     
     
    2 x PH Electrolyte Capsule
    900ml x Plain water
     

    How Tom's hydration and fueling went...

      • Pro British triathlete Tom Bishop is making the step up to middle-distance racing after competing in sprint and Olympic distance events on the ITU circuit for 10 years
      • Tom was given a wildcard slot for the 100km PTO US Open, which was his third outing over a longer distance. Tom described the hot conditions in Dallas as the “harshest I’ve ever raced in”, which provided a steep learning curve when it came to managing his nutrition over this longer race duration

    Hydration

      • After speaking to the Precision Fuel & Hydration Sports Science team in Dallas, Tom sensibly followed a textbook preloading protocol by drinking a PH 1500 (Tablet) mixed in ~500ml/16oz of water the evening before the race and again on the morning of the race
      • This preload went some way to ensure Tom started optimally hydrated, which was important as the race didn’t start until 2.45pm when temperatures soared in Dallas (the average temperature during the race was 36°C/97°F, with a humidity of 43%).
      • Given the extreme heat, Tom was keen to lower his core body temperature before he started the swim and drank a 300ml/10oz ‘slushy’ ~10 minutes before the starting gun went off
      • Using a ‘slushy’ is a proven method for lowering (or at least maintaining a low) core body temperature amongst elite athletes, although we wouldn’t recommend drinking such a large amount of fluid (300ml/10oz) so close to the race start
      • Tom did a good job of managing his hydration needs during the race by drinking an average of ~863ml/29oz of fluid per hour, which may seem on the higher side but the heat was brutal in Texas and the fact Tom didn’t pee at all during the race would suggest that he wasn’t overdrinking. He also regularly poured water over his head to keep himself cool
      • Tom’s a moderately salty sweater as we know from his Sweat Test that he loses 819mg of sodium per litre of sweat. The relative sodium concentration of his intake in Dallas was 992mg/L getting most of his sodium from PF Energy Drink Mix and a couple of Electrolyte Capsules, so we can safely assume that he replaced a significant proportion of his losses
      • He did cramp during the final 15km of the bike leg, although he attributes this to muscle fatigue and the fact he went at “suicide pace” on the bike because a calf injury meant that he didn’t really expect to complete the run leg
      • To put this into perspective, Tom said, “my average heart rate for the ride was 185bpm, which is my second threshold heart rate, something you should only really see for a one-hour maximal effort”. It's worth pointing out that he battled through to complete the entire race despite this

    Fueling

    Quick Carb Calculator Recommendation

    30g

    carb 30 mins before

    60-90g

    carb per hour during
      • Tom drank a pre-race slushy which included a PF 90 Gel, which contains 90g of carb. Consuming this amount of carb (alongside a pretty big pre-race meal) so close to race start may have overloaded his gut and caused the issues which later blighted his run
      • In future, we’d recommend Tom consumes ~30g of carb in the final 15 minutes before the swim as this has a scientific basis for providing performance benefits by topping up glycogen stores
      • Tom’s background in short-course racing meant that he went out hard in the swim and bike, which ensured he was part of the leading pack early on. This hard style of racing meant that Tom “tore through (his) nutrition on the bike” - he consumed ~110g of carbohydrate per hour during this leg, relying largely on PF Energy Drink Mix and PF 30 Gels
      • There’s evidence to suggest that some athletes can benefit from taking on more than 90g of carb per hour, but Tom is still new to consuming such large amounts and he may have actually consumed too much carb. For reference, Tom consumed ~58g/h on the bike leg in his last race at IM 70.3 Swansea, so the 110g/h is a huge increase in such a short space of time
      • As a result, Tom had some issues with his gut which meant that he could only consume water and took on zero carbs during the run leg
      • The hot conditions, allied with the fact Tom is relatively new to consuming high carb intakes during long races, are likely to have been contributing factors to his gut issues, so we’d recommend that Tom practices gut training during his longer, high intensity sessions
      • Furthermore, for longer distance racing (particularly in hot races), decoupling carbohydrate from fluids is often easier for the gut to tolerate and more manageable from a performance standpoint (i.e. if you keep your fuel and fluids separate by using your bottles purely for fluids and electrolytes and then rely on gels / chews / solid foods for fuel, you can react to your needs more easily by drinking when you’re thirsty and eating when you need energy)

    Conclusions

      • Despite the intense heat, injury worries and high intensity, Tom did well to cross the finish line in only his third race at this middle-distance
      • The relative sodium concentration of his intake replaced a good proportion of his sweat sodium losses, although we’ll be working with Tom on training his gut so he can nail his carbohydrate intake and ensure he’s able to fuel his run leg

    Key info

    Tom Bishop

    Male
    Sweat sodium concentration
    819mg/L
    Sweat sodium classification
    Moderate
    * determined by a PH Advanced Sweat Test

    Result

    Position
    30th
    Overall Time
    3:39:40
    Swim Time
    0:26:50
    Bike Time
    1:52:31
    Run Time
    1:17:36

    Event information

    Sport
    Triathlon
    Discipline
    Middle distance
    Event
    PTO US Open
    Location
    Dallas, US
    Date
    18th September, 2022
    Website
    Swim Distance
    2.0km / 1.2mi
    Bike Distance
    80.0km / 49.7mi
    Run Distance
    18.0km / 11.2mi
    Total Distance
    100.0km / 62.1mi

    Race conditions

    Weather Conditions
    Very Hot
    Precipitation
    No Rain
    Min Temp
    35°C / 95°F
    Max Temp
    37°C / 99°F
    Avg Temp
    36°C / 97°F
    Humidity
    43%

    Athlete feedback

    Race Satisfaction
    6/10
    Hydration rating
    3/10
    Energy levels
    8/10
    Dropped off on the last lap of the bike
    Toilet stops
    No
    GI comfort
    2/10
    I had to stop off to use the toilet mid-race
    Cramping
    Mild cramps that I could push through

    Tom's Thoughts

     I’m still satisfied with my race as my plan was suicide pace on the bike - I was carrying an injury so hadn't actually planned on running

    Tom's full stats

     Carbohydrate (g)Sodium (mg)Fluid (ml)Caffeine (mg)Relative sodium concentration (mg/L)
    Overall
    Total intake3023,1253,1500992
    Per hour838568630
    Bike and Run
    Total intake2052,7502,9000948
    Per hour658739210
    Bike
    Total intake2052,2502,00001,125
    Per hour1101,2051,0710

    Data Confidence

    marker-icon

    1

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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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