2022/08/19 by Sohan Bendre, Bendre, Sohan, Shiva Maharaj +5 · 1 citation
Business, Management and Accounting · Computer Science · Economics, Econometrics and Finance · #Applications (stat.AP) #Artificial Intelligence in Games #FOS: Computer and information sciences #FOS: Mathematics #Organizational Management and Leadership #Probability (math.PR) #Sports Analytics and Performance
paper · pdf · doi:10.48550/arxiv.2208.09563
openalex publication_date 2022/08/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
How likely is it that Magnus Carlsen will achieve his goal of a 2900 Elo rating? At what level of play does Magnus have a reasonable chance of reaching the 2900 goal? These two questions are of great current interest to Magnus and the chess community. The probabilistic properties of Elo's rating system are well known, and together with a Brownian motion model of rating evolution, we use simulation-based methods to address these questions. Our model assesses that Magnus has a 4.5% chance of reaching 2900 if he continues his 2020–2022 level of play. However, this increases dramatically to 80% chance if he can repeat his hot streak performance of 2019 which is not an easy undertaking. The probabilities are intimately related to Elo's choice K-factor -factor used for grandmaster chess play. Finally, we conclude with a discussion of the policy issues involved with the choice of K-factor.