How AZ Academy (AFAS‑complex) develops young talent with a data‑driven approach

The AZ Academy, located in the modern AFAS‑complex in Wijdewormer, is known for its innovative approach to youth football. Instead of relying on traditional scouting, the club opts for a data‑driven model that measures player development in all facets. This approach has recently led to a victory in the UEFA Youth League 2022‑23 and has produced a series of well‑known professional players. In this article we dive deeper into the philosophy, the selection criteria, the role of SoccerLab and what this means for parents, coaches and young players.

A data and analytics model at the core of the philosophy

AZ Academy bases its training philosophy on a rigorous analytical model. Instead of focusing on a single aspect, such as only technical skills, a wide range of data is collected and analysed. The goal is to identify and develop talent based on objective measurements. This data‑driven approach makes it possible to clearly map individual strengths and development points, allowing the coaching to precisely match the personal needs of each player.

The model revolves around five recognizable attributes: technique, physical capabilities, cognitive skills, attitude and personality. Each of these pillars is measured using advanced tools and observations, after which the results are compared to an internal benchmark. This systematic approach prevents subjective bias and provides an equal opportunity for every young footballer who joins the academy.

The five core attributes: what they entail and why they matter

1. Technique – This includes ball control, passing, dribbling and finishing. At AZ, not only the current skill is considered, but also the speed at which a player can improve technically. An example: a young midfielder who already has a good first touch, but who, according to the data, quickly learns to pass under pressure, receives extra attention in technical training.

2. Physical – This looks at speed, strength, endurance and mobility. In practice, this means that players with a lower starting level but a high growth potential can be selected because their physical development may increase significantly in the coming years.

3. Cognition – This factor measures game insight, decision‑making ability and spatial awareness. Through video analysis and scenario training, the academy can determine how quickly a player learns to make the right choices in various game situations.

4. Attitude – The mentality of a player, such as perseverance, eagerness to learn and team spirit, is measured through observations and psychological questionnaires. A player who consistently works hard, even when results are not immediately visible, often receives more playing minutes to prove themselves.

5. Personality – This concerns social skills, communication and how a player handles pressure. A young goalkeeper who remains calm during a penalty situation, but who also works well with the defence, scores highly on this criterion.

By analysing each of these aspects separately, AZ Academy can compile a complete profile of a player. The result is a balanced group of talents that is not only technically strong, but also mentally and physically ready for the step to professional football.

SoccerLab and the focus on calendar‑ versus biological age

A unique tool within the academy is SoccerLab. This tool makes it possible to measure player development relative to their calendar age (the age based on their birth date) and their biological age (the level of physical and mental maturity). In practice, this means that a player who is 14 years old by calendar age but has a biological age corresponding to a 16‑year‑old can be pushed more quickly to higher teams.

The separation between calendar and biological age prevents players who are already physically or mentally more developed from unnecessarily remaining in a younger team. At the same time, it ensures that younger players with a lower biological level are not moved up too early, giving them sufficient time to develop at their own pace. This approach contributes to an even growth curve within the group and minimises the risk of overload or burnout.

The results of this method are clearly visible. In the 2022‑23 season, AZ Academy won the UEFA Youth League, a achievement that shows that the combination of data analysis, balanced talent selection and a targeted age approach works at the highest level of youth football.

Results and proven successes

The academy can boast a series of players who have found their way to the first team and later attracted international attention. Names such as Calvin Stengs, Myron Boadu, Teun Koopmeiners, Owen Wijndal and Ron Vlaar have all emerged from AZ’s own development system. Each of these players has developed a clear profile during their youth that matches the academy’s five attributes.

A noteworthy aspect is that the club actively dispels myths that sometimes circulate around its name. For example, it is often wrongly suggested that Georginio Wijnaldum is a product of AZ. In reality, Wijnaldum is a product of another club, and the confusion underscores the importance of transparent communication about the club’s own talent pool.

The successes of AZ Academy demonstrate how a rigorous data model, combined with a holistic view of the player, leads to a consistent flow of quality talents. For parents and coaches this means that there is a clear and measurable pathway for their children to grow within an environment that is both challenging and supportive.

Practical tips for parents, coaches and young players

• Be open about data feedback. If your child participates in a programme that uses many measurement tools, discuss the results regularly. Ask for concrete examples of where your child performs well and where there is still room for improvement.
• Focus on the five core attributes. Encourage your child not only on technical skills, but also pay attention to physical training, game insight, attitude and social skills. A balanced approach brings more chances for a successful selection.
• Pay attention to biological age. If you notice that your child is physically or mentally more developed than their calendar age, discuss with the coach whether a higher age group is appropriate. Conversely, do not force a move up if the biological development is not yet ready.
• Use SoccerLab results as a discussion point. The data from SoccerLab can serve as an objective starting point for conversations between parent, coach and player about the next steps in development.
• Develop a strong attitude. By cultivating a positive mindset – for example by learning from mistakes and consistently working hard – you increase the chance that your child stands out on the attitude criterion.
• Encourage social interaction. Personality and team behaviour are just as important as technical skills. Encourage your child to actively participate in team activities and take responsibility within the group.

Conclusion

AZ Academy shows that a well‑grounded, data‑driven approach can be a powerful engine for the development of young footballers. By focusing on five measurable attributes, mapping biological age and using tools such as SoccerLab, the academy creates an environment where talent can grow on a fair and transparent pathway. The successes of players such as Calvin Stengs, Myron Boadu and Teun Koopmeiners confirm that this methodology works not only in theory but also delivers practical results. For parents and coaches this model provides a clear framework to support and guide the development of their children, with concrete metrics and realistic expectations. With a combination of numbers, mental strength and a positive attitude, AZ Academy offers an inspiring example of what modern youth football can look like.