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Related Experiment Video

Updated: Jul 1, 2025

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

Published on: May 26, 2020

Building Individual Player Performance Profiles According to Pre-Game Expectations and Goal Difference in Soccer.

Arian Skoki¹, Boris Gašparović¹, Stefan Ivić²

¹Department of Computer Engineering, Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia.

Sensors (Basel, Switzerland)

|March 13, 2024

Summary

This summary is machine-generated.

Soccer players

Keywords:

GPS data energy expenditure model fitting optimization player profiling soccer

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Biomechanical Analysis Methods to Assess Professional Badminton Players' Lunge Performance

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Published on: June 11, 2019

Area of Science:

Sports Science
Biomechanics
Performance Analysis

Background:

Soccer player performance is affected by unpredictable game factors like score changes and expectations.
Assessing player effort in response to these dynamic factors is crucial for performance analysis.

Purpose of the Study:

To develop a mathematical model quantifying player effort based on pre-game expectations and goal difference (GD).
To enhance current methods for assessing player responses to contextual factors in soccer.

Main Methods:

Utilized GPS wearable sensors to track player energy expenditure in 5-min intervals.
Developed a mathematical model incorporating pre-game expectations, endurance, and GD dynamics.
Employed Particle Swarm and Nelder-Mead optimization for model construction.

Main Results:

The developed model demonstrated superior performance compared to baseline methods.
Achieved a Mean Absolute Error (MAE) of 396.87±61.42 and Root Mean Squared Error (RMSE) of 520.69±88.66.
Outperformed baseline models with lower MAE and RMSE values.

Conclusions:

The proposed model offers an improved approach to assessing player effort in response to contextual factors, especially GD.
Integrating wearable data and contextual factors enhances understanding of individual player characteristics and decision-making.