Each year, detailed ball-by-ball Opta cricket data is collected from over five million deliveries across all formats. Now this data is being used to generate new predictive metrics, powered by AI, to provide you with a new perspective when profiling players and devising game plans.
Highly detailed ball-by-ball Opta data is powering a wide range of new performance metrics, which provide you with greater context around batting, bowling and fielding performance across elite men’s and women’s cricket.
These metrics, available for all internationals, T20 leagues and leading domestic first-class and List A competitions, go beyond cricket’s traditional metrics to offer a greater understanding of a batter’s approach against different types of bowling, chances created by bowlers and player performance in the field.
Opta data has been used to train AI-models that offer real-time predictive insights into the performance of batters and bowlers during different in game scenarios.
Each model, which dynamically update following each delivery, include:
These predictive insights can be applied together to influence key tactical decisions in a match, including revisions to a batting order, bowling and fielding changes and identifying the most effective player matchups to fit the situation.
Find out how our customisable cricket software, integrated with Opta data, can provide you with the tools to evolve existing analysis processes.
