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Nice Côte d'Azur by UTMB - 100M

Nice 100M Aid Station Planner

All 17 Nice 100M checkpoints pre-loaded. Enter your goal finish time to get estimated arrival times at every aid station.

165km8,900m D+17 checkpointsCutoff: 50h

Full Nice Côte d'Azur by UTMB - 100M course data: aid stations, cutoffs, course profile

Enter a goal Nice 100M finish time and get estimated arrival times at every checkpoint - 165 km with around 8,900 m of climbing, with crew and drop-bag points flagged.

Checkpoints (17)

Check your goal time and checkpoint values above.

About Nice Côte d'Azur by UTMB - 100M

Nice Côte d'Azur by UTMB - 100M covers 165 km with around 8,900 m of elevation gain, starting in Auron, France. The overall cutoff is 50 hours.

Crew access is allowed at Isola Village (38 km), Saint-Sauveur-sur-Tinée (63.8 km), Venanson (83.6 km), Utelle (109.9 km), Levens (121.9 km), Tourrette-Levens (140.4 km), Drap (147.5 km) and Plateau Saint-Michel (156.6 km). Drop bags are available at Saint-Sauveur-sur-Tinée and Levens.

Checkpoint data approximate - verify against the current official race guide at nice.utmb.world before your race.

The science behind km-effort pacing

Most runners build race pacing plans by dividing total distance evenly - which ignores the fact that an uphill kilometre takes far longer than a flat one. This planner uses TrailMath's enhanced km-effort model to distribute your goal time proportionally by effort, not by distance.

The km-effort formula for each segment is: distance_km + gain_m/100 + loss_m/150. This is TrailMath's extension of the standard ITRA gain-only formula, which adds descent cost based on Minetti's finding that steep technical descents carry real metabolic load. A 5km segment with 500m of gain and 200m of loss has an effort of 5 + 5 + 1.3 = 11.3 km-effort - equivalent to running 11.3km flat. Time is allocated proportionally to this effort score.

Why gain and loss have asymmetric costs. Minetti et al. (2002) mapped the metabolic cost of inclined locomotion across gradients from -45% to +45%. The key findings: metabolic cost rises steeply above 15-20% uphill grade, making power hiking more energy-efficient than running on steep climbs. On descents, eccentric muscle loading (quads acting as brakes) creates its own metabolic cost - steep technical descents are far more demanding than the same gradient on a smooth fire road. The gain/100 + loss/150 asymmetry in the formula reflects this - gain is more costly per metre than loss, but loss is not free.

Power hiking threshold is flagged at segments where your computed pace exceeds 12 min/km (19 min/mile). This threshold corresponds to the crossover point where walking biomechanics become more efficient than running on steep uphill terrain. Strategic power hiking on marked segments preserves leg muscle for descents and reduces overall race time compared to running everything.

This km-effort model is the same formula used in TrailMath's training engine for load calculation (following Dan Johnston's asymmetric elevation scoring methodology), ensuring consistency between how your training load is measured and how your race effort is planned.

Minetti AE et al. (2002). Energy cost of walking and running at extreme uphill and downhill slopes. J Appl Physiol. 93(3):1039-46. Minetti AE et al. (1995). Mechanical determinants of gradient walking energetics in man. J Physiol. 481(Pt 1):235-43. ITRA. km-effort formula. International Trail Running Association. itra.run

Track your Nice 100M plan, crew notes, and live progress in the app

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