Every performance environment tells a story. Behind every match, training session, tactical adjustment, player decision, and coaching intervention, there are patterns, interactions, and moments that shape performance outcomes. Over time, one question emerged: how can performance analysis become more structured, meaningful, and connected to the realities of sports? This question laid the groundwork for the performance analysis model, known as the Sports Performance Analysis Model (S-PAM). Developed by Sam Sedghinia through years of observation, coaching, analysis, education, and reflection, S-PAM focuses on understanding performance within sport environments. His final presentation during the ADVANCED COACHING DIPLOMA (ACD) program at the Canadian Sports Institute—entitled Performance Analysis in Youth Soccer—was fundamental in designing this structured sports performance analysis model based on logic, mathematics, and statistics. The primary aim was to establish a framework that integrates coaching and data integration, encompassing performance data, decision-making, coaching processes, and genuine competitive environments into one coherent system. As the concept matured, it became evident that S-PAM should not exist in isolation from coaching practice; it is essential for supporting learning, communication, adaptation, and performance improvement in practical and understandable ways. This belief guided the framework's development, emphasizing structure, context, and applied decision-making. The first practical application, SOCCER-PAM, is a soccer-specific adaptation of S-PAM, showcasing how this performance analysis model can be utilized within team environments, match analysis, tactical planning, player development, and performance workflows. However, the vision extends beyond one sport. The long-term goal is to cultivate a growing ecosystem of sport-specific models, such as BASEBALL-PAM, VOLLEYBALL-PAM, and others, which reflect the unique realities of different sports' environments. We invite coaches from all sports to assist in adapting S-PAM for their disciplines and to continue as S-PAM Developers in this evolving field. The ongoing management of workshops, educational activities, and development initiatives related to S-PAM is overseen by the Sports Coaching Centre. Through education, collaboration, and practical application, the Sports Coaching Centre is dedicated to the continued growth of this framework and its contributions to performance analysis.

Founder and Developer of the Sports Performance Analysis Model (S-PAM)

Every idea begins somewhere. For me, S-PAM began with years of questions, observations, and experiences on soccer fields, in classrooms, and in coaching environments.

Throughout my journey as a coach, coach developer, educator, and performance analysis practitioner, I became increasingly interested in what truly shapes sporting performance. Every match, training session, tactical adjustment, and player decision seemed to tell a story. But I wanted to understand more than just the final result.

I wanted to understand the processes behind performance.

"I have always believed that the final score tells us what happened, but it rarely tells us the complete story of why it happened."
 

Over the years, I noticed that coaches and analysts often collected considerable amounts of information without having a clear, consistent process for transforming that information into meaningful decisions. Statistics could describe certain aspects of performance, but they couldn't always explain the interactions, behaviours, and circumstances that produced those numbers.

This observation led me to a question that would eventually shape my work:

How can we make performance analysis more structured, logical, meaningful, and connected to the realities of sport?

One of the defining moments in this journey came during my Advanced Coaching Diploma (ACD) program at the Canadian Sport Institute.

For my final presentation, entitled Performance Analysis in Youth Soccer, I explored how performance could be examined through a more systematic approach.

That experience became a foundation for something much larger.

It encouraged me to bring together ideas from coaching, mathematics, statistics, logic, and performance analysis into a single structured framework.

"During my Advanced Coaching Diploma studies, I began to see performance analysis differently. I realized that we needed more than statistics and observations. We needed a logical structure that could connect information, interpretation, and coaching decisions."
 

What began as an effort to improve the analysis of youth soccer gradually developed into a broader concept applicable to different sports and performance environments.

That concept became the Sports Performance Analysis Model (S-PAM).

Developing S-PAM was not simply about creating another analytical tool or introducing additional performance indicators.

My goal was to establish a structured model that could guide the entire performance analysis process, from identifying a performance problem to collecting information, interpreting findings, making decisions, implementing solutions, and evaluating their effectiveness.

More importantly, I wanted the model to reflect the realities of sport.

Sport is dynamic. Athletes interact with teammates, opponents, coaches, rules, environments, and constantly changing situations. Performance cannot always be understood by examining isolated numbers or events.

"I don't believe performance analysis should be limited to counting what players do. We must also understand why they do it, how their actions connect with others, and what those actions mean within the context of the game."
 

This belief became central to S-PAM.

The model was designed to connect performance data, coaching knowledge, decision-making processes, and real competitive environments through a coherent and systematic approach.

I also wanted S-PAM to remain practical.

A model may be scientifically grounded and logically structured, but if coaches and practitioners cannot understand or apply it, its value becomes limited.

"For me, the real value of performance analysis is not the amount of data we collect. It is the quality of the decisions we make using that data."
 

Soccer has played a central role in my professional journey, so it was natural that the first sport-specific application of S-PAM would focus on the game I know most closely.

This led to the development of SOCCER-PAM.

SOCCER-PAM translates the principles and structure of S-PAM into the realities of soccer, including match analysis, tactical planning, player development, coaching interventions, and team performance processes.

Through SOCCER-PAM, I wanted to demonstrate how a structured analytical model could support coaches in understanding performance and making more informed decisions.

But soccer was always intended to be the beginning, not the destination.

As S-PAM continued to develop, I became increasingly convinced that its underlying principles could serve practitioners across many sports.

Every sport has its own characteristics, rules, performance demands, and competitive environments. A volleyball coach faces different analytical challenges from a baseball coach or a soccer coach.

Yet the need for structured analysis, logical thinking, meaningful evidence, and informed decision-making exists in every sport.

"My vision is not to create one model that treats every sport the same way. It is to establish a common analytical foundation that can be adapted to the unique realities of each sport."
 

This vision is the driving force behind future sport-specific applications, including BASEBALL-PAM, VOLLEYBALL-PAM, and other models developed through collaboration with coaches and practitioners from different disciplines.

I believe the future of S-PAM should be built through shared knowledge and practical experience.

That's why I invite coaches, analysts, educators, researchers, and other sport professionals to contribute to the development of sport-specific models and become part of the growing community of S-PAM Developers.

Looking back, S-PAM represents more than a professional project. It reflects years of learning, questioning established practices, testing ideas, and searching for better ways to understand sporting performance.

And the journey is far from finished.

Through the Sports Coaching Centre, we continue to support S-PAM's development through educational programs, workshops, collaboration, and practical applications.

My hope is that S-PAM will encourage coaches and practitioners to approach performance analysis with greater curiosity, structure, and critical thinking.

"I don't see S-PAM as a finished product. I see it as an evolving framework that can grow through the knowledge, experiences, and contributions of people who care about understanding and improving performance."
 

Ultimately, I want S-PAM to help bridge the gap between what we observe, what we know, what we measure, and what we decide to do.

Because behind every performance, there is a story worth understanding.

And understanding that story is where meaningful performance analysis begins.

Sam Sedghinia
Founder and Developer of S-PAM
Sports Performance Analysis ModelMeet the Founder