
4 minute read
Shashwat Kamat
At just 21, Shashwat Kamat has already carved an impressive niche in the world of sports performance analysis. Hailing from Porvorim, India, he is currently the Chairperson for the School of Sports, Exercise & Applied Science at St Mary’s University, Twickenham, London, while simultaneously pursuing a degree in Performance Analysis & Talent Identification at the same institution. His journey in the sports industry has been nothing short of remarkable, with a sixyear tenure in the field, making him one of the youngest and most sought-after performance analysts in India and Asia.
Shashwat’s expertise extends across various elite clubs, having worked with Queens Park Rangers FC in London, along with Indian clubs such as FC Goa, Bengaluru FC, and Gujarat Titans. His previous experience includes serving as the General Secretary at Govt. Polytechnic Panaji at the young age of 18, further demonstrating his leadership and organizational capabilities.
The Role of a Performance Analyst
Shashwat describes performance analysis as a crucial yet demanding aspect of modern sports. The role entails working closely with players and coaching staff to enhance team performance. Unlike India, where a single analyst often handles multiple responsibilities, the UK offers a more structured approach with dedicated analysts for different domains, including data analysis, recruitment, opposition analysis, and performance evaluation.
A key aspect of his work is using cutting-edge tools such as Tableau Public, Power BI, SPSS, Metrica, Hudl, and essential software like Microsoft PowerPoint and Excel. Data collection is achieved through various paid and free platforms, including Wyscout, Instat, and Statsbomb. Depending on time constraints, analysts either manually code events or utilize these platforms to obtain relevant match data.
Identifying Key Performance Indicators (KPIs)
Performance analysis is deeply rooted in statistical insights. Shashwat emphasizes the importance of identifying dependent and independent variables to establish relevant KPIs. For example, goals scored (dependent) can be correlated with the number of shots taken (independent). Similarly, if a coach seeks to assess midfield performance, the analyst would evaluate attempted passes, successful passes, and unsuccessful passes to determine a success percentage. These KPIs help optimize player roles and game strategies.
One of his most significant contributions came during a pre-season match analysis, where he and the coaching staff identified a tactical shift that transformed a left winger into an inverted right-back. The player’s height and speed enabled him to join the midfield effectively, leading to a 7-0 victory. This demonstrated the power of data-driven decisionmaking in shaping team dynamics.



Ensuring Data Accuracy and Visualization
Shashwat underscores the necessity of validating and cross-checking data to ensure reliability. Different sports data companies may use varied metrics, leading to discrepancies. Analysts mitigate this by manually coding data to confirm its accuracy.
Presentation is also crucial. Reports are tailored to suit different audiences, ensuring that even nontechnical stakeholders grasp the insights. Visualizations with strategically chosen colors help reduce cognitive load, making complex data more digestible for coaching staff and executives.
The Future of Performance Analysis
Shashwat envisions a future where artificial intelligence and data analytics take center stage, potentially reshaping the role of performance analysts. As AI simplifies complex tasks and provides deeper insights, the industry is shifting towards automated and data-driven methodologies.
Despite the evolving landscape, the role of an analyst remains demanding. Time management is critical, as reports must be prepared within strict timelines to ensure teams are fully equipped for upcoming matches.
Analysts also work closely with the head of analysis and key stakeholders, ensuring seamless communication and the effective implementation of new technologies and strategies.
Conclusion
Shashwat Kamat is at the forefront of a rapidly evolving industry, pioneering advanced performance analysis methodologies. His journey from India to the UK, coupled with his extensive experience at elite clubs, underscores his commitment to revolutionizing the field.
As the sports industry continues to embrace AI and data-driven solutions, young visionaries like Shashwat are set to shape the future of performance analysis in sports.
