Javelina Jundred Finish Time Predictor
Javelina Jundred race stats pre-loaded (161 km, 1,919 m D+). Enter a known race result to get an elevation-adjusted finish time estimate.
Full Javelina Jundred - 100 Mile course data: aid stations, cutoffs, course profile
Predict your Javelina Jundred finish time from a reference race result, adjusted for the course's 161 km and roughly 1,919 m of elevation gain. The overall cutoff is 30h.
About Javelina Jundred - 100 Mile
Javelina Jundred - 100 Mile covers 161 km (about 100 miles) with around 1,919 m of elevation gain, starting in McDowell Mountain Regional Park, Arizona, USA. The overall cutoff is 30 hours.
Crew access is allowed at Javelina Jeadquarters (end of loop 1) (35.9 km), Javelina Jeadquarters (end of loop 2) (67.2 km), Javelina Jeadquarters (end of loop 3) (98.5 km) and Javelina Jeadquarters (start of loop 5) (129.8 km). Drop bags are available at Javelina Jeadquarters (end of loop 1), Javelina Jeadquarters (end of loop 2), Javelina Jeadquarters (end of loop 3) and Javelina Jeadquarters (start of loop 5).
Checkpoint data approximate - verify against the current official race guide at aravaiparunning.com before your race.
Why flat Riegel fails for trail
The classic Riegel formula (T2 = T1 × (D2/D1)^1.06) was derived from road race data. It assumes distance is the only factor in fatigue - ignoring elevation, terrain friction, and ultra-specific physiological degradation. For mountain trail races, these factors dominate.
ITRA km-effort normalises trail races by effort rather than distance. A 50km race with 3,000m of gain has a km-effort of 80 - equivalent in effort to an 80km flat race. Our version also accounts for descent cost (loss_m / 150), because steep descents cause significant eccentric muscle damage (Minetti, 2002) that isn't free.
Ultra fatigue: Millet et al. (2011) documented progressive neuromuscular degradation in ultra-marathons - central fatigue, GI distress, and eccentric muscle damage compound over time. The fatigue exponent in our prediction scales from 1.06 (≤marathon) to 1.15 (>100km), producing increasingly conservative predictions as distance grows. The stepped exponents beyond marathon distance are TrailMath heuristics, not published constants - they represent a conservative extrapolation of Millet's qualitative findings, not empirically derived values.
Terrain multipliers are practical heuristics, not peer-reviewed constants. Technical trail is approximately 1.30× slower than road pace for the same flat effort - accounting for footplacement, rocks, roots, and lateral stability demands. These multipliers are applied relative to your known race's terrain, so comparing trail-to-trail or road-to-road eliminates the terrain effect and leaves only effort differences.
How to use this: Choose a known result you're proud of and that reflects your current fitness. A race from 6 months ago still works if your training hasn't changed significantly. The prediction gives a range - aim for somewhere between optimistic and conservative based on your training specificity for the target race.
ITRA. km-effort formula. International Trail Running Association. Riegel PS. (1977). Athletic records and human endurance. American Scientist. Millet GY et al. (2011). Neuromuscular consequences of an extreme mountain ultra-marathon. PLoS ONE. Minetti AE et al. (2002). J Appl Physiol. 93(3):1039-46.
Build a training plan targeted at your Javelina Jundred goal time
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