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Scientific Reports|July 11, 2025
Change in elevation predicts 100 km ultra marathon performanceBeat Knechtle, Katja Weiss, David Valero, et al.
Plos One|December 9, 2024
The influence of origin and race location on performance in IRONMAN® age group triathletesBeat Knechtle, David Valero, Elias Villiger, et al.
Scientific Reports|March 29, 2025
Race course characteristics are the most important predictors in 48 h ultramarathon runningBeat Knechtle, David Valero, Elias Villiger, et al.
Scientific Reports|March 16, 2025
Analysis of the 50-mile ultramarathon distance using a predictive XGBoost modelJonas Turnwald, David Valero, Pedro Forte, et al.
Plos One|October 16, 2024
Associations between environmental factors and running performance: An observational study of the Berlin MarathonKatja Weiss, David Valero, Elias Villiger, et al.
Scientific Reports|April 5, 2024
Analysis of over 1 million race records shows runners from East African countries as the fastest in 50-km ultra-marathonsKatja Weiss, David Valero, Elias Villiger, et al.
BMC Research Notes|December 20, 2024
Analysis of the 10-day ultra-marathon using a predictive XG boost modelBeat Knechtle, Elias Villiger, David Valero, et al.
Scientific Reports|November 20, 2024
The fastest 24-hour ultramarathoners are from Eastern EuropeBeat Knechtle, David Valero, Elias Villiger, et al.
Frontiers in Sports and Active Living|October 8, 2025
An analysis of the 6-h ultra-marathon race using a machine learning approachMabliny Thuany, Katja Weiss, David Valero, et al.
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