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Swimming Performance Assessment in Fishes

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Published on: May 20, 2011

Quantifying on-water performance in rowing: A perspective on current challenges and future directions.

Martyn J Binnie^1,2, Daniel Astridge^1,2, Sophie P Watts^1,2

¹Department of Performance Sciences, Western Australian Institute of Sport, Perth, WA, Australia.

Frontiers in Sports and Active Living

|April 3, 2023

Summary

Understanding rowing performance is complex due to variable conditions. This article explores methods like relative performance and instrumented boats to better contextualize boat speed and guide future research in elite rowing.

Keywords:

competition environment power training velocity

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Area of Science:

Sports Science
Rowing Performance Analysis

Background:

Rowing race times vary significantly due to environmental factors and competitor strength.
Training environments present additional challenges in quantifying boat speed due to uncontrolled conditions.

Purpose of the Study:

To discuss current methods for quantifying rowing performance and boat speed.
To highlight the lack of consensus in existing approaches.
To propose potential solutions for better performance contextualization in elite rowing.

Main Methods:

Review of recent literature on rowing performance quantification.
Discussion of practical experiences from elite rowing environments.
Exploration of methods including relative performance, weather normalization, and instrumented boats.

Main Results:

No clear consensus exists on the best methods to quantify rowing performance.
Relative performance, weather adjustments, and instrumented boats show promise for improving understanding.
Current practices face challenges in contextualizing daily performance.

Conclusions:

Further research is needed to establish standardized methods for rowing performance analysis.
Integrating relative performance, environmental data, and power metrics can enhance the understanding of on-water speeds.
A guided approach is necessary to improve the interpretation of rowing performance data.