However, below is the generalized process of how we rank the athletes
2. Gather Data: We collect data on athletes' performances using various sources such us official statistics, competition results, expert analysis, and user-generated content. This may involve scraping data provided by sports organizations or from website or conducting surveys or interviews.
3. Normalize Data: We standardize and normalize the data to ensure fair comparisons across different athletes and time periods. This may involve adjusting for factors such as the level of competition, the size of field, or environmental conditions.
4. Weighing Factors: We assign weights to different criteria based on their importance in determining overall performance. For example, winning a championship might be weighted more heavily than regular-season performance, or certain performance metrics may be considered more indicative of success in the sport.
5. Ranking Algorithm: We develop an algorithm that calculates rankings based on the defined criteria and weighted factors. This algorithm could be as simple as a points-based system or as a complex as a machine learning model that takes multiple factors into account.
6. Update Rankings: We set up a process to regularly update rankings based on new data and performances. This could be done on a periodic basis (e.g., weekly, monthly) or triggered by specific events (e.g., major tournaments, seasons).
7. Transparency: We make the ranking methodology transparent to users by providing detailed explanations of the criteria, weighing factors, and algorithm used. This builds trust and credibility in the ranking system.
8. Promotion and Engagement: We promote rankings through various channels such us social media, sports websites, and partnerships with sports organizations. We also encourage engagement and discussion around the rankings to increase visibility and interest.
9. Continuous Improvement: We monitor the performance of the ranking system over time and make adjustments as needed. This may involve refining the criteria, updating the algorithm, or incorporating new data sources.