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Related Experiment Video

Updated: Jun 18, 2026

A Two-interval Forced-choice Task for Multisensory Comparisons

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

Isoperformance curves: an application in team selection.

R Hugh Morton¹

¹Institute of Food, Nutrition and Human Health, Massey University, Palmerston North, New Zealand.

Journal of Sports Sciences

|December 8, 2009

Summary

This summary is machine-generated.

Isoperformance curves help group athletes with similar physiological attributes for team events. This concept aids in team selection and identifying individual training needs for enhanced athletic performance.

Related Experiment Videos

Last Updated: Jun 18, 2026

A Two-interval Forced-choice Task for Multisensory Comparisons

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

Area of Science:

Sports Science
Exercise Physiology
Biophysics

Background:

Team-based sports require careful selection of athletes with comparable physiological attributes.
Existing methods for team selection may not fully account for performance equivalency.
Critical power models provide a framework for understanding physiological performance limits.

Purpose of the Study:

To introduce and illustrate the concept of isoperformance curves and surfaces.
To demonstrate the application of isoperformance curves in team selection for sports like rowing and cycling.
To highlight the utility of isoperformance lines in identifying athletes' specific training requirements.

Main Methods:

Utilizing parameters from two- and three-parameter critical power models.
Defining isoperformance curves as combinations of physiological attributes yielding equal expected performance.
Applying the concept to scenarios involving simultaneous team competition.

Main Results:

Isoperformance curves visually represent combinations of physiological attributes for equal performance.
Proximity to a specific isoperformance curve can guide the grouping of evenly matched individuals for teams.
Isoperformance lines can pinpoint specific physiological components that training interventions can target.

Conclusions:

Isoperformance curves offer a novel approach to optimizing team selection based on performance equivalency.
This concept aids in identifying athletes' physiological strengths and weaknesses for tailored training.
Isoperformance analysis enhances strategic decision-making in team sports and individual training regimens.