US 11,682,209 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 Oct. 1, 2021, as Appl. No. 17/449,694.
Claims priority of provisional application 63/086,372, filed on Oct. 1, 2020.
Prior Publication US 2022/0108111 A1, Apr. 7, 2022
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:
identifying, by a computing system, broadcast video for a plurality of games in a first league, wherein the broadcast video comprises a plurality of video frames;
generating, by the computing system, tracking data for each game from the broadcast video of a corresponding game;
enriching, by the computing system, the tracking data, the enriching comprising merging play-by-play data for the game with the tracking data of the corresponding game;
generating, by the computing system, padded tracking data based on the tracking data; and
projecting, by the computing system, player performance in a second league for each player based on the tracking data and the padded tracking data.