For college and professional football, there are a lot of video cameras at each game. The number of cameras vary from 5 to 62 per game. I couldn’t find a great source on this, but it looks like coaches get access to at least 2 film feeds (if not all of them). The two that the coaches get have views of all of the players on the field. Thankfully, two views of the players is all that is needed to make a 3D reconstruction of the playing field.
With the location of every player at every second of the game captured. It is then very easy to characterize each formation and play that happened. Suddenly, no work is required to get the distribution of formations a team uses or plays they run. If several weeks (or a year) of data is processed it’s possible to estimate the probability they will run a particular play in a given position on the field.
This can even give insight into individual players’ performance. How often does this defensive tackle get penetration and cause the running back to alter his path? What is the average amount of separation this wide reciever gets? Of the missed passes, how many are on the wide receiver and how many on the quarterback?
In addition to processing the film for statistics, this software could make a database of different plays a team has done. For example, a coach may want to show his players how much success the other team has had with the jet sweep. Also, the coach may want to see the common plays the opponent uses on 3rd and long where they actually get the first down. Practically all aspects of film study can be improved with automation.
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