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公开(公告)号:US12100210B2
公开(公告)日:2024-09-24
申请号:US18362746
申请日:2023-07-31
申请人: STATS LLC
发明人: William Thomas Gurpinar-Morgan , Daniel Richard Dinsdale , Joe Dominic Gallagher , Aditya Cherukumudi , Paul David Power , Patrick Joseph Lucey
IPC分类号: G06V20/40 , G06N3/045 , G06N3/08 , G06V10/764 , G06V10/82
摘要: A computing system retrieves ball-by-ball data for a plurality of sporting events. The computing system generates a trained neural network based on ball-by-ball data supplemented with ball-by-ball data with ball-by-ball match context features and personalized embeddings based on a batsman and a bowler for each delivery. The computing system receives a target batsman and a target bowler for a pitch to be delivered in a target event. The computing system identifies target ball-by-ball data for a window of pitches preceding the to be delivered pitch. The computing system retrieves historical ball-by-ball data for each of the target batsman and the target bowler. The computing system generates personalized embeddings for both the target batsman and the target bowler based on the historical ball-by-ball data. The computing system predicts a shot type for the pitch to be delivered based on the target ball-by-ball data and the personalized embeddings.
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公开(公告)号:US20220374475A1
公开(公告)日:2022-11-24
申请号:US17663921
申请日:2022-05-18
申请人: STATS LLC
IPC分类号: G06F16/9035 , G06F16/908 , G06N3/04
摘要: A computing system receives a request to project a performance of a first player from a current team on a destination team. The computing system generates, based on the request, player-position features corresponding to the first player. The computing system generates team features corresponding to the first player. The computing system generates rating features for the first player. The computing system generates, via a prediction model, a player box score prediction based on the player-position features, the team features, and the rating features. The player box score prediction includes a plurality of per game metrics of the first player on the destination team.
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公开(公告)号:US20210256265A1
公开(公告)日:2021-08-19
申请号:US17167411
申请日:2021-02-04
申请人: STATS LLC
发明人: William Thomas Gurpinar-Morgan , Daniel Richard Dinsdale , Joe Dominic Gallagher , Aditya Cherukumudi , Paul David Power , Patrick Joseph Lucey
摘要: A computing system retrieves ball-by-ball data for a plurality of sporting events. The computing system generates a trained neural network based on ball-by-ball data supplemented with ball-by-ball data with ball-by-ball match context features and personalized embeddings based on a batsman and a bowler for each delivery. The computing system receives a target batsman and a target bowler for a pitch to be delivered in a target event. The computing system identifies target ball-by-ball data for a window of pitches preceding the to be delivered pitch. The computing system retrieves historical ball-by-ball data for each of the target batsman and the target bowler. The computing system generates personalized embeddings for both the target batsman and the target bowler based on the historical ball-by-ball data. The computing system predicts a shot type for the pitch to be delivered based on the target ball-by-ball data and the personalized embeddings.
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公开(公告)号:US20240216780A1
公开(公告)日:2024-07-04
申请号:US18401023
申请日:2023-12-29
申请人: Stats LLC
发明人: Michael John Horton , Nils Sebastiaan Mackaij , Daniel Richard Dinsdale , Hayley Redgate , Daniele Foroni , Patrick Joseph LUCEY
IPC分类号: A63B71/06
CPC分类号: A63B71/06
摘要: A method of generating predictions for teams and players for each team associated with a sporting event, the method including: receiving one or more top-down predictions for the sporting event; providing the top-down predictions as one or more top-down feature vectors to a computing system; receiving, by the computing system, a second set of feature vectors comprising data for one or more players associated with one or more respective teams and data for one or more teams associated with a sporting event; inputting the one or more top-down feature vectors and second set of feature vectors into a transformer-based neural network; and generating, using the transformer-based neural network, one or more predictions for the sporting event based on the one or more top-down feature vectors and the second set of feature vectors.
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公开(公告)号:US11715303B2
公开(公告)日:2023-08-01
申请号:US17167411
申请日:2021-02-04
申请人: STATS LLC
发明人: William Thomas Gurpinar-Morgan , Daniel Richard Dinsdale , Joe Dominic Gallagher , Aditya Cherukumudi , Paul David Power , Patrick Joseph Lucey
IPC分类号: G06V20/40 , G06N3/08 , G06N3/045 , G06V10/764 , G06V10/82
摘要: A computing system retrieves ball-by-ball data for a plurality of sporting events. The computing system generates a trained neural network based on ball-by-ball data supplemented with ball-by-ball data with ball-by-ball match context features and personalized embeddings based on a batsman and a bowler for each delivery. The computing system receives a target batsman and a target bowler for a pitch to be delivered in a target event. The computing system identifies target ball-by-ball data for a window of pitches preceding the to be delivered pitch. The computing system retrieves historical ball-by-ball data for each of the target batsman and the target bowler. The computing system generates personalized embeddings for both the target batsman and the target bowler based on the historical ball-by-ball data. The computing system predicts a shot type for the pitch to be delivered based on the target ball-by-ball data and the personalized embeddings.
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公开(公告)号:US20210241145A1
公开(公告)日:2021-08-05
申请号:US17167400
申请日:2021-02-04
申请人: STATS LLC
发明人: Paul David Power , William Thomas Gurpinar-Morgan , Daniel Richard Dinsdale , Joe Dominic Gallagher , Nils Sebastiaan Mackaij
摘要: A system and method for generating a role summary associated with one or more players are disclosed herein. A computing system retrieves event information for a plurality of teams for a plurality of events. The computing system generates a spatial output that describes each player. The computing system identifies a playing style associated with each team. The computing system identifies a subset of paths a player or team takes between two zones. The computing system identifies each player's involvement in a team's process. The computing system generates a score corresponding to a value of a player's involvement in a given play based on the event information. The computing system generates a score associated with each player's passing ability based on the event information. The computing system determines a shot style of each player based on the event information. The computing system identifies a role associated with each player.
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