Stats LLC

Robert Seidl

Patrick Joseph Lucey

Christian Marko

Joe Dominic Gallagher

Michael Stöckl

Filip Glojnaric

Matjaz Ales

Ben Mackriell

Ysabel Gonzalez-Rico

Arun Murali

Alexander Nicholas Ottenwess

A computing system receives pre-match data for an upcoming match between a first player and a second player. The computing system generates, using one or more prediction models, one or more pre-match predictions based on the pre-match data. The computing system receives in-match data for the match currently in progress. The computing system generates, using the one or more prediction models, one or more live match predictions based on the in-match data.

Live prediction of player performances in tennis

A method for generating a probability for a first action of a sporting event by implementing a feature set, the method including: obtaining an initial set of data relating to the first action of a sporting event, the initial set of data including at least a position of a first player on a surface and a position of a target area on the surface; generating, by a machine learning model, an initial projected scoring probability based on the initial set of data; generating a feature set relating to the sporting event; and modifying, by the machine learning model, the initial projected scoring probability to an updated scoring probability using the feature set.

System and methods for implementing a feature set of high-dimensional spatial data in sports predictions

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Munich, Germany

Robert Seidl