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Analysis of Trail Runner Performance Based on Coros Wearable Device Data

ACTIVE: Journal of Physical Education, Sport, Health and Recreation · Vol. 15 No. 2 (2026) · hlm. 473–479

DOI
10.15294/active.v15i2.41826
ISSN
2460-724X, 2252-6773
Terbit
2026-04-29
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

This study analyzed the performance of an ultra-trail runner in two races (62 km and 50 km) using a wearable device (Coros Pace 3). The subject was a 26-year-old male runner with more than four years of experience in ultra-trail running. Parameters examined were pace, heart rate (HR), and elevation. The results showed that elevation strongly influenced both pace and HR, with more conservative pacing observed in the 62 km race and more aggressive early effort in the 50 km race. The analysis was conducted descriptively and through a regression model with elevation control as a covariate. The results showed an oscillatory pacing pattern influenced by elevation contours, with HR increasing significantly in uphill segments. These findings highlight the importance of adaptive pacing strategies based on elevation profiles and suggest that wearable data can provide practical insights for training and competition. Runners need to know the details of the race track, including distance and elevation, and train in conditions similar to the actual track so that physiological adaptations occur and they can achieve their best performance during the race.

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  • State University of Semarang
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Rekan penulisOrganisasiArtikel bersama
Rizam Ahada UNAfiliasi tidak diketahui1
Sungkowo SungkowoState University of Semarang1
Abdul LatifState University of Semarang1
Sobihin SobihinState University of Semarang1
Sungatno SungatnoState University of Semarang1
Ifa Nurul AzizahState University of Semarang1
Imron FadillahState University of Semarang1
Arif AprindoState University of Semarang1
Rivan Saghita PratamaState University of Semarang1
Purwono Sidik PermonoState University of Semarang1
Ayu Tri AgustinState University of Semarang1
Adiska Rani Ditya CandraState University of Semarang1
Maziliyyah Nurlaily SulistyantoState University of Semarang1
Winda HartonoState University of Semarang1
Nadyatus SubheyState University of Semarang1
Lisa Andani PutriState University of Semarang1
Niko Martin KartikaAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/peshr/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Analysis of Trail Runner Performance Based on Coros Wearable Device Data</dc:title>
	<dc:creator xml:lang="en">Muhammad Ghufron Faqih</dc:creator>
	<dc:creator xml:lang="en">Wicaksono, Anggit</dc:creator>
	<dc:subject xml:lang="en">Trail Running, Pace, Heart Rate, Elevation</dc:subject>
	<dc:description xml:lang="en">This study analyzed the performance of an ultra-trail runner in two races (62 km and 50 km) using a wearable device (Coros Pace 3). The subject was a 26-year-old male runner with more than four years of experience in ultra-trail running. Parameters examined were pace, heart rate (HR), and elevation. The results showed that elevation strongly influenced both pace and HR, with more conservative pacing observed in the 62 km race and more aggressive early effort in the 50 km race. The analysis was conducted descriptively and through a regression model with elevation control as a covariate. The results showed an oscillatory pacing pattern influenced by elevation contours, with HR increasing significantly in uphill segments. These findings highlight the importance of adaptive pacing strategies  based on elevation profiles and suggest that wearable data can provide practical insights for training and competition. Runners need to know the details of the race track, including distance and elevation, and train in conditions similar to the actual track so that physiological adaptations occur and they can achieve their best performance during the race.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-04-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/peshr/article/view/41826</dc:identifier>
	<dc:identifier>10.15294/active.v15i2.41826</dc:identifier>
	<dc:source xml:lang="en">ACTIVE: Journal of Physical Education, Sport, Health and Recreation; Vol. 15 No. 2 (2026); 473-479</dc:source>
	<dc:source>2460-724X</dc:source>
	<dc:source>2252-6773</dc:source>
	<dc:source>10.15294/active.v15i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/peshr/article/view/41826/9340</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 ACTIVE: Journal of Physical Education, Sport, Health and Recreation</dc:rights>
</oai_dc:dc>