Effects of inter- and intraindividual compensation-sensitive shot styles on performance in Olympic air rifle shooting

Background: Aiming point analysis systems (APAS) are commonly used in sports shooting but face four main challenges: they do not account for intra-session variations, they overlook inter-individual shooter preferences, they ignore compensation mechanisms of technical features, and they do not respect the real shot location at the target. Methods: To address the first three challenges, we developed and validated an automated approach detector algorithm (ADA) for movement phase detection. When compared to three independent expert ratings, the ADA demonstrated a high correlation (r = .811). Building on the ADA and addressing challenge 3 and 4, this study applied cluster-analysis and ANOVA to determine the performance relevance of compensation-sensitive shot styles using datasets from a single athlete and 26 advanced to elite level athletes. Results: Significant performance differences in shot styles for both datasets, with each shot style distinctively differing from the others could be found. Conclusions: Shot styles which allow for compensation and intra-individual movement phase differences exhibit performance variations. Coaches and athletes should emphasize holistic training, focusing on combinations of features that allow for compensation.

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Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2024-10-15
DOI
https://doi.org/10.48620/36358
Primary Topic
Sports Dynamics and Biomechanics
Type
article
Field-Weighted Citation Impact
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article

Effects of inter- and intraindividual compensation-sensitive shot styles on performance in Olympic air rifle shooting

Open Access CRIS of the University of Bern
Sports Dynamics and Biomechanics
article

Effects of inter- and intraindividual compensation-sensitive shot styles on performance in Olympic air rifle shooting

article en

Abstract

Background: Aiming point analysis systems (APAS) are commonly used in sports shooting but face four main challenges: they do not account for intra-session variations, they overlook inter-individual shooter preferences, they ignore compensation mechanisms of technical features, and they do not respect the real shot location at the target. Methods: To address the first three challenges, we developed and validated an automated approach detector algorithm (ADA) for movement phase detection. When compared to three independent expert ratings, the ADA demonstrated a high correlation (r = .811). Building on the ADA and addressing challenge 3 and 4, this study applied cluster-analysis and ANOVA to determine the performance relevance of compensation-sensitive shot styles using datasets from a single athlete and 26 advanced to elite level athletes. Results: Significant performance differences in shot styles for both datasets, with each shot style distinctively differing from the others could be found. Conclusions: Shot styles which allow for compensation and intra-individual movement phase differences exhibit performance variations. Coaches and athletes should emphasize holistic training, focusing on combinations of features that allow for compensation.

Open Access CRIS of the University of Bern
Bundesinstitut für Sportwissenschaft (DE), Institut für Angewandte Trainingswissenschaft (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 68%
Sports Dynamics and Biomechanics
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