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Within-System Agreement Between Real-Time and Post-Processed Data Using Dynamix from League Optical Tracking

Marco Beato¹, Paolo Troiani², Chiara Zinco³

¹Department of Wellbeing, Nutrition and Sport, Pegaso Open University, 80143 Naples, Italy.

Sports (Basel, Switzerland)

|May 26, 2026

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This summary is machine-generated.

Real-time football load monitoring (SmartLive) shows excellent agreement with post-processed data. This validates its use in elite sports analysis, offering reliable external load metrics for performance evaluation.

Area of Science:

Sports Science
Performance Analysis
Football Analytics

Background:

Elite football relies on accurate external load metrics for training and match analysis.
Real-time data offers potential advantages for immediate feedback and tactical adjustments.
Validating real-time systems against established post-processed methods is crucial for adoption.

Purpose of the Study:

To assess the within-system agreement and interchangeability of real-time (SmartLive) and post-processed external load data.
To compare various external load metrics, including distance, speed zones, acceleration, and deceleration.
To validate the SmartLive module against a league-approved optical tracking system in professional football.

Main Methods:

Data collected from 50 elite Serie A football matches.

Keywords:

kinematic monitoring soccer team sport tracking

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Comparison of SmartLive (real-time) with Hawk-Eye (post-processed) optical tracking data.

Analysis of multiple external load metrics using Intraclass Correlation Coefficients (ICCs) and Bland-Altman plots.

Main Results:

Excellent agreement (ICCs 0.929-0.999) between real-time and post-processed data across most metrics.
Small mean differences observed via Bland-Altman analysis, confirming strong agreement.
Minor discrepancies noted in intermediate speed zones and acceleration/deceleration events.

Conclusions:

Real-time (SmartLive) and post-processed external load data demonstrate high agreement in elite football.
SmartLive is a validated tool suitable for use alongside post-processed data in professional settings.
Findings support the integration of real-time monitoring for enhanced football performance analysis.