RSS Prediction Competition 2026

The LSE Department of Statistics, in partnership with the Royal Statistical Society (RSS) Statistics in Sport section, is delighted to host the annual launch of the RSS Statistics in Sport student competition.

This free evening event brings together statisticians, data scientists, and students to explore the application of statistical methods in sport. The programme combines cutting-edge research, insights from a previous competition winner, and an expert panel discussion, offering a unique opportunity to engage with one of the most dynamic and fast-growing areas of applied statistics.

The RSS Statistics in Sport competition invites students to tackle real-world problems in sports analytics. Past entries have drawn on a wide range of statistical techniques, and winning entries are presented at the annual RSS conference, with travel expenses covered.

Whether you are a student considering entering the competition, a researcher with an interest in sports analytics, or simply curious about the role of statistics in sport, this event has something for you.

Attendance is free and open to all. Registration is required.

Speakers

Jessica Hargreaves, University of York, is a member of the RSS Statistics in Sport section and a leading voice in the application of statistical methods to sporting data.

Maurice Berk is a previous winner of the RSS Statistics in Sport competition and will share insights from his award-winning work.

Fabien Mauroy is Head of Quant at Smartodds, a leading sports modelling company.

Dr Miltiadis Mavrakakis is a Guest Lecturer in the LSE Department of Statistics and Head of Quant Modelling and Data Science at Amelco UK.

LSE holds a wide range of events, covering many of the most controversial issues of the day, and speakers at our events may express views that cause offence. The views expressed by speakers at LSE events do not reflect the position or views of the London School of Economics and Political Science.