MIXED REALITY AUTOMOTIVE RACING COMPETITIONS INVOLVING REAL AND VIRTUAL PARTICIPANTS

1 . A method comprising:

identifying, by a processing device, first data associated with an automotive race participant, wherein the first data comprises automotive race-related performance data of the automotive race participant;

generating, based on historical performance data associated with one or more competitions involving a competitor, second data associated with a computer-generated visual representation of the competitor;

generating, based on the first data and the second data, a simulation comprising at least one image of the automotive race participant and the computer-generated visual representation of the competitor engaged in an automotive racing competition; and

generating an indication of a winner of the simulation of the automotive racing competition.

2 . The method of claim 1 , wherein the computer-generated visual representation associated with the competitor comprises an automobile.

3 . The method of claim 1 , further comprising receiving, from one or more sensor devices, the first data associated with the automotive race participant.

4 . The method of claim 1 , further comprising executing a model to predict one or more actions of the competitor.

5 . The method of claim 1 , further comprising publishing the indication of the winner of the simulation of the automotive racing competition to one or more computing devices.

6 . The method of claim 1 , further comprising processing video content comprising the automotive race participant, wherein the simulation of the automotive racing competition is based at least in part on the video content comprising the automotive race participant.

7 . The method of claim 1 ,, wherein the simulation comprises video content associated with the automotive race participant engaged in the automotive racing competition.

8 . A system comprising:

a memory comprising instructions; and

a processing device coupled to the memory, the processing device to execute the instructions to perform operations comprising:

identifying first data associated with an automotive race participant, wherein the first data comprises automotive race-related performance data of the automotive race participant;

generating, based on historical performance data associated with one or more competitions involving a competitor, second data associated with a computer-generated visual representation of the competitor;

generating, based on the first data and the second data, a simulation comprising at least one image of the automotive race participant and the computer-generated visual representation of the competitor engaged in an automotive racing competition; and

generating an indication of a winner of the simulation of the automotive racing competition.

9 . The system of claim 8 , wherein the simulation comprises video content associated with the automotive race participant engaged in the automotive racing competition.

10 . The system of claim 8 , the operations further comprising receiving, from one or more sensor devices, activity data associated with the automotive race participant.

11 . The system of claim 10 , wherein the simulation is generated at least in part on the activity data associated with the automotive race participant.

12 . The system of claim 8 , the operations further comprising executing a model to predict one or more actions of the competitor.

13 . The system of claim 8 , the operations further comprising publishing the indication of the winner of the simulation of the automotive racing competition to one or more computing devices.

14 . The system of claim 8 , the operations further comprising processing video content comprising the automotive race participant, wherein the simulation of the automotive racing competition is based at least in part on the video content comprising the automotive race participant.

15 . The system of claim 8 , wherein the computer-generated visual representation associated with the competitor comprises an automobile.

16 . A non-transitory machine-readable storage medium storing instructions which, when executed, cause a processing device to perform operations comprising:

identifying first data associated with an automotive race participant, wherein the first data comprises automotive race-related performance data of the automotive race participant;

generating, based on historical performance data associated with one or more competitions involving a competitor, second data associated with a computer-generated visual representation of the competitor;

generating, based on the first data and the second data, a simulation comprising at least one image of the automotive race participant and the computer-generated visual representation of the competitor engaged in an automotive racing competition; and

generating an indication of a winner of the simulation of the automotive racing competition.

17 . The non-transitory machine-readable storage medium of claim 16 , wherein the computer-generated visual representation associated with the competitor comprises an automobile.

18 . The non-transitory machine-readable storage medium of claim 16 , the operations further comprising receiving, from one or more sensor devices, activity data associated with the automotive race participant, wherein the simulation is generated at least in part on the activity data associated with the automotive race participant.

19 . The non-transitory machine-readable storage medium of claim 16 , the operations further comprising executing a model to predict one or more actions of the competitor, wherein the simulation is based at least in part on the one or more actions of the competitor predicted by the model.

20 . The non-transitory machine-readable storage medium of claim 16 , the operations further comprising publishing the indication of the winner of the simulation of the automotive racing competition to one or more computing devices.