The Problem with Season Averages
Full-season statistics include data from months ago when teams may have had different players, managers, or tactical systems. A team that lost their first 5 matches but won their last 10 would have misleading season averages.
Sample Size Balance
10 matches provides a balance between recency and statistical significance. Fewer matches (3-5) can be too volatile, while more (20+) dilutes the recency factor.
Capturing Momentum
Teams go through hot and cold streaks. The last 10 matches capture whether a team is currently ascending or declining, which is crucial for predictions.
Managerial Impact
When a new manager takes over, the team often transforms within 5-10 matches. Season averages would still reflect the previous manager's results.
TipsYe's Approach
TipsYe uses the last 10 competitive matches as the primary data window for all team comparisons, power ratings, and predictions. This ensures you always see the most current picture of team quality.