Lasith Chamindu Pranath Pussella, a Master of Science candidate in the Department of Mathematics and Statistics, will defend his thesis titled Simulation for Cricket: A Machine Learning Approach on Monday, September 16 at 11:00 AM in person in the Department of Mathematics and Statistics.

Students (both graduate and undergraduate) as well as other members of the Brock Community are invited to attend. If you are interested in the presentation, please contact Neil Marshall at nmarshall@brocku.ca for the room location.

Abstract:

Cricket is the second most popular sport in the world with a significant presence in Commonwealth countries. Despite its popularity, cricket is underrepresented in the literature, especially in the domain of simulation. Simulation in cricket is challenging because of its complexity, dynamic nature, and data scarcity. In this research, we develop a simulation mechanism for cricket using machine learning techniques. The construction of the simulator is based on the availability of a detailed dataset from Cricket Australia. We employ machine learning to predict the outcome of a “delivery”, the core element of gameplay, which can further be utilized for scorecard generation and match simulations. Our simulator’s potential is demonstrated by employing it to determine the optimal batting position of a given batter in a team in Twenty20 cricket. Additionally, we develop an interactive web platform to enable the end users to directly interact with the simulator.

Keywords: Cricket; machine learning; simulation; random forests; neural networks; T20 cricket;

The examination committee includes Yifeng Li, Chair; S. Ejaz Ahmed and Tianyu Guan, Co-Supervisors; Taylor McKee, External Examiner (Department of Sport Management, Brock University); and William Marshall, Committee Member.