Age-Related Performance Trends in Fencing: A Comparative Analysis

Abstract: This study investigates the effects of age on fencing performance across three categories: youth (13-18 years), junior (19-23 years), and senior (24+ years), with data collected from 30 fencers in national-level competitions. The results revealed significant differences in performance characteristics across the age groups. Youth fencers, still in the early stages of their careers, exhibited a higher frequency of technical errors due to their developing skills and limited experience in competitive environments. However, they demonstrated a strong willingness to learn and adapt. Junior fencers, with more experience and additional training, showed improved tactical awareness and decision-making, though their physical conditioning and reaction times were still maturing, which limited their performance in high-intensity situations. Senior fencers, the most experienced and physically conditioned group, displayed superior fitness, strategic decision-making, and reaction times, along with advanced technical proficiency honed over years of training and competition. These findings underscore the importance of age-specific training programs that cater to the unique strengths and weaknesses of each group, providing valuable insights for coaches and trainers to maximize the potential of fencers at every stage of their development. I begin by selecting 30 fencers to work with and gather data from five National Fencing Championship tournaments, recording clips using a 4K Sony camera and a Samsung Galaxy S7 Tab for live analysis. These clips are then transferred to a laptop for storage. I extract both qualitative and quantitative data from the footage using Dartfish Pro S software, and analyze and visualize the data in MS Excel, categorizing it by age group. I collaborate with the coach to discuss the fencers' strengths and weaknesses, presenting the findings positively to help athletes recognize their qualities. We address weaknesses, set performance benchmarks, and track progress. Additionally, I collect testing data from supporting staff in areas such as biomechanics, physiology, psychology, and biochemistry, visualizing this information to show progress through graphs. Finally, the calculated data is compiled into a PowerPoint presentation for research paper submission. These findings underscore the necessity of age-specific training programs and competition strategies, offering valuable guidance for coaches, trainers, and athletes aiming to optimize performance. These findings underscore the necessity of age-specific training programs and competition strategies, offering valuable guidance for coaches, trainers, and athletes aiming to optimize performance.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-25
DOI
https://doi.org/10.5281/zenodo.17226452
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Age-Related Performance Trends in Fencing: A Comparative Analysis

Zenodo (CERN European Organization for Nuclear Research)
Diverse Scientific and Economic Studies
article

Age-Related Performance Trends in Fencing: A Comparative Analysis

article en

Abstract

Abstract: This study investigates the effects of age on fencing performance across three categories: youth (13-18 years), junior (19-23 years), and senior (24+ years), with data collected from 30 fencers in national-level competitions. The results revealed significant differences in performance characteristics across the age groups. Youth fencers, still in the early stages of their careers, exhibited a higher frequency of technical errors due to their developing skills and limited experience in competitive environments. However, they demonstrated a strong willingness to learn and adapt. Junior fencers, with more experience and additional training, showed improved tactical awareness and decision-making, though their physical conditioning and reaction times were still maturing, which limited their performance in high-intensity situations. Senior fencers, the most experienced and physically conditioned group, displayed superior fitness, strategic decision-making, and reaction times, along with advanced technical proficiency honed over years of training and competition. These findings underscore the importance of age-specific training programs that cater to the unique strengths and weaknesses of each group, providing valuable insights for coaches and trainers to maximize the potential of fencers at every stage of their development. I begin by selecting 30 fencers to work with and gather data from five National Fencing Championship tournaments, recording clips using a 4K Sony camera and a Samsung Galaxy S7 Tab for live analysis. These clips are then transferred to a laptop for storage. I extract both qualitative and quantitative data from the footage using Dartfish Pro S software, and analyze and visualize the data in MS Excel, categorizing it by age group. I collaborate with the coach to discuss the fencers' strengths and weaknesses, presenting the findings positively to help athletes recognize their qualities. We address weaknesses, set performance benchmarks, and track progress. Additionally, I collect testing data from supporting staff in areas such as biomechanics, physiology, psychology, and biochemistry, visualizing this information to show progress through graphs. Finally, the calculated data is compiled into a PowerPoint presentation for research paper submission. These findings underscore the necessity of age-specific training programs and competition strategies, offering valuable guidance for coaches, trainers, and athletes aiming to optimize performance. These findings underscore the necessity of age-specific training programs and competition strategies, offering valuable guidance for coaches, trainers, and athletes aiming to optimize performance.

Zenodo (CERN European Organization for Nuclear Research)
Netaji Subhas National Institute of Sports (IN), Sahara Hospital (IN), Carolina Headache Institute (US)
Openalex Percentile: Top 34%
Diverse Scientific and Economic Studies
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