Sub-4 Success – Josh Young at the London Marathon 2025

🎯 Objective

To complete the London Marathon in under 4 hours through consistent pacing, heat management, and strategic coaching support.

🏃 Athlete Profile

  • Name: Josh Young
  • Race: London Marathon 2025
  • Distance: 42.43 km
  • Chip Time: 3:40:32
  • Elapsed Time: 3:40:49
  • Average Pace: 5:12/km
  • Elevation Gain: 145 m
  • Device: Garmin fēnix 7
  • Shoes: Not specified
  • Conditions: Hot and humid (58°F, felt like 65°F)

📊 Pacing Breakdown – Josh Young

KM 1–10 (Opening Settler)

  • Average Pace: ~5:00/km
  • Notes: Strong, confident start. Settled into rhythm quickly with minimal elevation change. Coaching cues around restraint and rhythm clearly landed.

KM 11–21 (Mid-Race Management)

  • Average Pace: ~5:05/km
  • Notes: Slight pace fluctuations but remained steady. Heat began to build. Josh maintained effort with hydration and mental focus.

KM 22–32 (Heat and Fatigue)

  • Average Pace: ~5:10–5:22/km
  • Notes: Pace dipped slightly as heat and fatigue set in. KM 31 showed a spike to 6:35/km—likely a recovery or aid station moment. Coaching emphasis on effort over pace paid off.

KM 33–42 (Final Push)

  • Average Pace: ~5:25–5:44/km
  • Notes: Despite rising fatigue, Josh held form and avoided major slowdowns. Finished strong and within goal time.

❤️ Heart Rate & Effort

  • Average HR: 127 bpm
  • Cadence: 167 spm
  • Insight: Excellent aerobic control. Cadence remained consistent, and HR stayed in a sustainable zone—proof of disciplined pacing and heat adaptation.

💡 Key Insights

  • Pacing Precision: Josh executed a textbook negative split strategy with minor dips and strong recovery
  • Heat Management: Despite challenging conditions, hydration and mental regulation kept him on track
  • Coaching Impact: Sub-4 goal achieved through structured pacing, effort-based training, and race-day mindset cues
  • Recovery Awareness: Strategic slowdown at KM 31 shows smart decision-making under fatigue

🧩 Coaching Applications

  • Josh’s pacing data teaches heat adaptation and effort-based racing
  • Reinforces the value of cadence consistency and aerobic control
  • Models how sub-4 goals can be achieved with strategic pacing and mental regulation
  • Encourages athletes to trust their plan and adjust only when necessary
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