Method and apparatus for analyzing user-generated performance data

A non-transitory machine-readable storage medium, comprising instructions, wherein responsive to executing the instructions, a processor performs operations comprising:

• acquiring at least one machine learning technique based on training game content;
• analyzing a first plurality of team-relevant video clips associated with a first participating team of a first team-based video gaming session, wherein the first team-based video gaming session is associated with a team-based video game, wherein the analyzing is performed via use of the at least one machine learning technique to train an artificial intelligence model to perform computer-implemented image recognition to determine a team-relevant trigger associated with the first participating team;
• identifying, via the artificial intelligence model, the team-relevant trigger associated with the first participating team in a second team-based video gaming session;
• based on the identifying the team-relevant trigger in the second team-based video gaming session, processing a recording of the second team-based video gaming session to produce a second plurality of team-relevant video clips containing the team-relevant trigger;
• comparing a first performance of the first participating team of a second team-based video gaming session and a second performance of a second participating team of the second team-based video gaming session according to the second plurality of team-relevant video clips to generate an assessment of the first performance of the first participating team;
• generating team-based first strategy information for a first player of the first participating team and team-based second strategy information for a second player of the first participating team according to a beneficial strategy for the first participating team, wherein the beneficial strategy for the first participating team is determined based on the assessment of the first performance of the first participating team and a target gaming result collectively beneficial to the first participating team, and wherein the team-based first strategy information differs from the team-based second strategy information;
• and
• providing the team-based first strategy information for the first player of the first participating team to equipment utilized by the first player of the first participating team.

A method, comprising:

• acquiring, by a processing system including a processor, at least one machine learning technique based on training game content;
• analyzing, by the processing system, a first plurality of team-relevant video clips associated with a first participating team of a first team-based video gaming session, wherein the first team-based video gaming session is associated with a team-based video game, wherein the analyzing is performed via use of the at least one machine learning technique to train an artificial intelligence model to perform computer-implemented image recognition to determine a team-relevant trigger associated with the first participating team;
• identifying, via the artificial intelligence model, the team-relevant trigger associated with the first participating team in a second team-based video gaming session;
• based on the identifying the team-relevant trigger in the second team-based video gaming session, processing a recording of the second team-based video gaming session to produce a second plurality of team-relevant video clips containing the team-relevant trigger;
• comparing, by the processing system, a first performance of the first participating team of a second team-based video gaming session and a second performance of a second participating team of the second team-based video gaming session according to the second plurality of team-relevant video clips to generate an assessment of the first performance of the first participating team;
• generating, by the processing system, team-based first strategy information for a first player of the first participating team and team-based second strategy information for a second player of the first participating team according to a beneficial strategy for the first participating team, wherein the beneficial strategy for the first participating team is determined based on the assessment of the first performance of the first participating team and a target gaming result collectively beneficial to the first participating team;
• and
• providing, by the processing system, the team-based first strategy information for the first player of the first participating team to equipment utilized by the first player of the first participating team.