Stats LLC

Christian Marko

Patrick Joseph Lucey

Sateesh Pedagadi

Filip Glojnaric

Brian Orefice

Raphael Reiners

Matjaz Ales

Kevin Allinson

Anthony Borsumato

Johannes Kuehnel

Karl Ferk

Bradford Griffiths

Hector Ruiz

Robert Seidl

Nick Cockerill

Fady Abdelmalek

John Dickinson

Alexander Nicholas Ottenwess

Ben Mackriell

Caner Bas

Zsolt Biro

Claudio Bridi

Demetre Iobashvili

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 delivering interactive video to a user is disclosed herein. A computing system identifies video contents corresponding to a sporting event. The video contents include a plurality of video frames. The computing system annotates each video frame of the plurality of video frames to uniquely identify the video frame and contents contained therein. The computing system receives, from a plurality of prediction models, a plurality of data inputs related to agents and actions captured in each video frame of the plurality of video frames. The computing system generates a plurality of data frames based on the plurality of data inputs. The computing system associates each data frame with a respective video frame using the annotations. The computing system causes a user device to present the interactive video to the user by instructing the user device to merge the plurality of data frames with the plurality of video frames.

Interactive video system for sports media

A computing system receives a proposed bet selection for an event. The proposed bet selection includes team information and opponent information. The computing system generates a plurality of queries by analyzing the proposed bet selection. The computing system retrieves historical data related to the proposed bet selection based on the plurality of queries. The computing system analyzes the historical data to generate a plurality of insights related to the proposed bet selection. The computing system provides the historical data and the plurality of insights to a user submitting the proposed bet selection.

Real time feedback and recommendations on market selections

A computing system receives data for a game. The data includes at least one of tracking data or event data. Based on the data for the game, the computing system determines that an event has occurred within the game. Based on the determining, the computing system generates a graphic responsive to the event. The graphic includes insights related to the event. The computing system recommends an image relevant to the event based on metatags associated with the event. The computing system generates a visual element by merging the image and the graphic.

Recommendation engine for combining images and graphics of sports content based on artificial intelligence generated game metrics

A computing system receives a video stream of a game. The computing system generates tracking data corresponding to the video stream using one or more artificial intelligence models. The computing system generates interactive video data by combining the video stream of the game with the tracking data. The computing system causes a media player to render graphics corresponding to the tracking data over the video stream by sending the interactive video data to a client device executing the media player.

Methods and systems for utilizing live embedded tracking data within a live sports video stream

A computing system receives live event data corresponding to a live game. The live event data includes events occurring within the live game. The computing system analyzes the live event data to identify a potential error in the live event data. The computing system generates a ticket corresponding to the potential error flagged in the live event data. The computing system assigns the ticket to a first quality assurance agent to resolve. The computing system receives an indication that the ticket has been reviewed by the first quality assurance agent. the computing system provides the reviewed event data to an end user.

Artificial intelligence assisted live sports data quality assurance

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Christian Marko