Trend Analysis

Identify athletes with improving performance trends using statistical analysis. Track placements over time to discover emerging talent for World Cup and Olympic development pathways.

Filters

Season

Gender

Event Type

Age Group

Start Date

End Date

Min Events

Placement Type

Age Group Placement All Ages Placement

Current Athletes Only (athletes competing in the latest season, analyzed across all seasons)

Individual Athlete Analysis

Individual Athlete Performance Trend

Track placement history over time for the selected athlete. Lower placements indicate better performance (1st place = best).

Top Improving Athletes (Linear Regression)

Athletes with the strongest negative slope (improving placement trend) based on linear regression. A negative slope means placements are getting better (lower) over time. R² indicates how well the line fits the data.

Breakthrough Performers

Athletes who achieved a significant single-event improvement compared to their prior average. These may indicate a developmental leap.

Consistency Leaders

Athletes with the most consistent placements (lowest variance). Consistency is crucial for elite competition success.