US 12,307,767 B2
Prediction of NBA talent and quality from non-professional tracking data
Andrew Patton, Chicago, IL (US); Nathan Walker, Durham, NC (US); Matthew Scott, Chicago, IL (US); and Alex Ottenwess, Chicago, IL (US)
Assigned to STATS LLC, Chicago, IL (US)
Filed by STATS LLC, Chicago, IL (US)
Filed on Jun. 16, 2023, as Appl. No. 18/336,400.
Application 18/336,400 is a continuation of application No. 17/449,694, filed on Oct. 1, 2021, granted, now 11,682,209.
Claims priority of provisional application 63/086,372, filed on Oct. 1, 2020.
Prior Publication US 2023/0334859 A1, Oct. 19, 2023
Int. Cl. G06N 5/04 (2023.01); G06T 7/292 (2017.01); G06V 20/40 (2022.01)
CPC G06V 20/42 (2022.01) [G06N 5/042 (2013.01); G06T 7/292 (2017.01); G06V 20/44 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, by a computing system, broadcast video data for a plurality of games from a tracking system, wherein the broadcast video data includes one or more players in a first league;
generating, by the computing system, tracking data for each of the plurality of games, the tracking data comprising coordinates of one or more player locations in the plurality of games;
receiving, by the computing system, play-by-play data for each of the plurality of games from a play-by-play feed corresponding to the broadcast video data, the play-by-play data describing one or more events that occur within the plurality of games;
merging, by the computing system, the play-by-play data for the plurality of games with the tracking data of the plurality of games to generate an enriched data set; and
projecting, by the computing system, player performance in a second league for the one or more players based on the enriched data set, wherein the projecting includes classifying each of the one or more players.