I believe a direct competitor profile feature could provide valuable insights for players on defrag.racing. Here's how I envision it working:
Calculate Average Placement Efficiency: Instead of focusing solely on average rank, we could calculate a more accurate placement efficiency metric, perhaps based on a percentage system.
Historical Data: This metric would be calculated over a specified period (e.g., 3 months, 6 months) using data from strafe maps.
Identify Closest Competitors: The system would then identify the four players with the closest placement efficiency scores to the user's own.
Display Direct Competitors: These four players would be presented as the user's "direct competitors," providing a clear understanding of their closest rivals in terms of skill level.
Benefits:
Enhanced Competitiveness: Knowing your direct competitors can motivate players to strive for improvement.
Personalized Insights: This feature would offer players valuable information tailored to their individual skill level.
I believe a direct competitor profile feature could provide valuable insights for players on defrag.racing. Here's how I envision it working:
Calculate Average Placement Efficiency: Instead of focusing solely on average rank, we could calculate a more accurate placement efficiency metric, perhaps based on a percentage system. Historical Data: This metric would be calculated over a specified period (e.g., 3 months, 6 months) using data from strafe maps. Identify Closest Competitors: The system would then identify the four players with the closest placement efficiency scores to the user's own. Display Direct Competitors: These four players would be presented as the user's "direct competitors," providing a clear understanding of their closest rivals in terms of skill level.
Benefits: Enhanced Competitiveness: Knowing your direct competitors can motivate players to strive for improvement. Personalized Insights: This feature would offer players valuable information tailored to their individual skill level.