When people talk about the world’s greatest football player, they often think of speed, power, or physical ability. However, a recent analysis by Gert-Jan Pepping, a researcher and Professor of Human Movement Science at Australian Catholic University, offers a very different explanation: one of Lionel Messi’s greatest strengths is not in his legs, but in the way he interprets everything happening around him.
According to the study, even before receiving the ball, Messi constantly moves his head to scan his surroundings, identify the positions of teammates and opponents, and anticipate the spaces that will open up seconds later. This ability, known as visual scanning, allows him to make decisions with remarkable speed and stay one step ahead of the game.
Beyond football, this research highlights an increasingly important reality: understanding human movement requires much more than assessing physical condition. Today, biomechanics provides the tools needed to transform every movement into objective data and understand why some athletes consistently make better decisions than others.
Movement Begins Before Motion
Traditionally, athletic performance has been associated with strength, speed, and endurance. However, numerous studies show that success also depends on processes that take place before any physical movement occurs.
In football, players constantly process information about the game: the ball’s position, the orientation of opponents, teammates’ movements, and the available space on the field. This entire decision-making process takes place within fractions of a second and directly influences the quality of the next action.
By the time the player controls the ball, the decision has already been made.
This ability to anticipate transforms movement into the result of prior analysis rather than its starting point.
Biomechanics Makes the Invisible Measurable
For many years, coaches and researchers relied primarily on direct observation and conventional video analysis to evaluate these behaviors. While these methods remain valuable, they have clear limitations when precise movement quantification is required.
Modern biomechanics goes far beyond visual observation.
Three-dimensional motion capture systems can accurately record how every body segment moves during athletic performance. This enables professionals to analyze variables such as:
- Trunk orientation before receiving the ball.
- Changes of direction.
- Interlimb coordination.
- Joint angular velocity.
- Stability during acceleration and deceleration.
- Technical movement patterns.
This information provides an objective understanding of athletic performance and helps identify subtle differences that can distinguish elite athletes from the rest.
From the Laboratory to the Playing Field
For decades, biomechanical analysis was largely confined to research laboratories. Today, technological advances have brought these tools into high-performance centers, universities, sports medicine clinics, and everyday training environments.
Modern optical motion capture systems provide the accuracy required to study complex athletic movements without interfering with the athlete’s natural performance.
This evolution has created new opportunities for researchers, sports scientists, and performance specialists, allowing them to move beyond observation and perform truly quantitative analyses.
How MOTIO 3DMA Contributes
Within this context, solutions such as MOTIO 3DMA enable comprehensive biomechanical analysis through high-precision three-dimensional optical motion capture.
The system tracks reflective markers placed on the athlete’s body and accurately reconstructs the kinematics of each body segment. From these measurements, objective variables related to movement, coordination, and athletic technique can be obtained.
Although the research on Messi used specific methodologies to investigate visual scanning, a platform like MOTIO 3DMA can complement this type of research by providing valuable biomechanical insights into how athletes execute each movement.
For example, researchers can analyze:
- Body orientation before making a pass.
- Pelvis and trunk rotation during changes of direction.
- Coordination between upper and lower limbs.
- Stability during single-leg support.
- Acceleration and deceleration mechanics.
- Technical patterns during kicking or ball control.
Together, these measurements help explain how perception and decision-making ultimately translate into movement.
Better Data for Better Decisions
One of the primary goals of modern biomechanics is not simply to collect more data, but to generate meaningful information that supports coaches, sports scientists, clinicians, and researchers.
Objective biomechanical data can help answer questions such as:
- What distinguishes elite athletes from developing players?
- How does movement change after a training program?
- How does an injury affect movement patterns?
- Which technique is the most efficient?
- Which movement characteristics increase injury risk?
Answering these questions with objective data reduces reliance on subjective observation and supports evidence-based decision-making.
The Science Behind Talent
There will probably never be a single explanation for the extraordinary talent of players like Lionel Messi. Technical ability, experience, tactical understanding, and game intelligence all contribute to a unique combination that is difficult to replicate.
However, research such as that conducted by Gert-Jan Pepping demonstrates that many of these behaviors can be studied scientifically.
Biomechanics does not seek to explain talent through numbers alone. Instead, it provides the tools needed to better understand how human movement is generated and which factors contribute to athletic performance.
Every technological advance brings researchers and performance professionals one step closer to that goal.
We believe that transforming movement into objective data is the first step toward understanding it. And understanding movement is the first step toward helping athletes reach their full potential.
Image credit: Lionel Messi portrait by Bryan Berlin / WikiPortraits, licensed under CC BY-SA 4.0 via Wikimedia Commons.
Source: https://commons.wikimedia.org/w/index.php?curid=195518244
References and sources: This article has been developed based on publicly available information and inspired by the article published by Meteored: “Científico explica el éxito de un Messi lento y mayor bajo la sombra del polémico beneficio y ayuda de la FIFA”.