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Paul Sabin
Sports Analytics, Data Science, Sports Media, PhD Statistics
Professional Background
Paul Sabin is a distinguished figure in the realm of sports analytics and data science, currently serving as a Sports Data Scientist and an analytics writer at ESPN. With a rich blend of professional experience and academic acumen, he has carved out a niche for himself in the competitive landscape of sports performance analysis. Drawing on his extensive background in statistics, Paul specializes in building predictive and descriptive models that enhance our understanding of athletic performance across various sports.
At ESPN, he plays a pivotal role in developing proprietary metrics that are crucial for sports analysts and fans alike. His work encompasses several high-profile metrics including ESPN’s Basketball Power Index (BPI), Football Power Index (FPI), Strength of Record (SOR), and the Allstate Playoff Predictor. Furthermore, he contributes to innovative models such as the PlayStation Player Impact Rating, NBA Draft Model, Soccer Fantasy Projections, and Real Plus-Minus (RPM) for College Football, NFL, and NBA.
Before his awe-inspiring tenure at ESPN, Paul served as a Sports Analytics Specialist, where he honed his skills and deepened his understanding of the complexities involved in interpreting sports data. His early career also included impactful positions such as Graduate Researcher at the Biocomplexity Institute of Virginia Tech and Graduate Fellow at the Central Intelligence Agency, showcasing his broad analytical capabilities.
Education and Achievements
Paul Sabin's academic journey is as impressive as his professional one. He earned a Doctor of Philosophy (Ph.D.) in Statistics from Virginia Tech, where he engaged in rigorous research that underpins his expertise today. His foundational education in statistics began at Brigham Young University, where he achieved a Master of Science (MS) in Statistics following his Bachelor of Science (BS) in Statistical Science. In addition to his statistical training, Paul also possesses a Bachelor of Arts (B.A.) in French Studies from Brigham Young University, illustrating his versatile educational background and language proficiency.
Paul's commitment to education is further reflected in his time as a Teaching Assistant in Statistics at Brigham Young University, where he effectively disseminated complex statistical concepts to undergraduate students. This not only underscored his mastery of the subject but also his passion for education and mentorship.
Notably, Paul also worked as a Life Expectancy Analyst at the Centers for Disease Control and Prevention (CDC), contributing to public health analytics and predictive modeling, which further cemented his skills in data-driven decision-making.
Achievements
Throughout his career, Paul Sabin has accumulated a wealth of achievements that highlight his specialization in data science and sports analytics. He has successfully led projects aimed at predicting television ratings for sporting events, a task that requires both quantitative acumen and an understanding of audience engagement metrics.
Furthermore, as a manager of junior analytics staff, Paul not only drives projects forward with his technical expertise but also plays an integral role in nurturing talent within the analytics community. His advanced proficiency in R programming allows him to develop sophisticated statistical models, thus enhancing the analytical capabilities of his team.
His comprehensive approach to sports data science directly contributes to the way sports analytics is utilized and applied, positioning him as a thought leader in the industry. Paul's work has not only reshaped how performance metrics are understood but has also amplified ESPN's capacity to engage audiences with rich, data-driven content.