About Sukhman Singh

Sukhman Singh is a football writer and data analyst with over four years of experience specializing in sports analytics. He holds an MSc in sports analytics and technologies from Loughborough University, where he honed his skills in statistical modeling and tactical performance analysis. His approach seamlessly combines deep tactical understanding with advanced data science techniques, offering fresh perspectives on the game.

Sukhman contributes regularly to RG.org, Breaking The Lines, and UtdDistrict, where he focuses on tactical breakdowns, detailed scouting reports, and data-driven storytelling that resonate with fans and professionals alike. His writing provides insightful analysis that bridges the gap between raw data and the on-field realities of football.

In addition to his journalistic work, Sukhman serves as a data consultant with Lupus Sport, helping shape opposition analysis and player evaluation strategies for elite youth development programs. His expertise supports coaches and analysts in identifying key tactical trends and player potential.

Earlier in his career, Sukhman collaborated with Southampton FC on a cutting-edge research project to develop a post-shot expected goals (PSxG) model using Bayesian analysis. This innovative model was designed to better evaluate striker performance, particularly focusing on young players with limited data samples, thus aiding talent development and recruitment decisions.

Sukhman’s core strengths lie in opposition analysis, tactical scouting, and building robust data models using Python, enabling deeper insights into football strategy and player impact. Based in San Francisco, California, he continues to advance the use of analytics in football journalism and coaching, bringing precision and clarity to the sport’s complex tactical narratives.