Crash Analysis

Analyze crash patterns to identify risk factors across age groups, events, venues, and trick types. Use these insights to improve training programs and athlete safety.

Filters

Club / Team

Crash Rate by Age Group

Shows how crash rates vary across development stages. Higher rates in younger groups may indicate technique gaps to address in training.

Crash Rate by Competition Level

Compare crash rates across Devo, RQS, and COMP levels. Higher stakes competitions may show different crash patterns.

Crash Rate Trend by Season

Track how crash rates evolve over time. Decreasing trends indicate improving athlete safety and technique.

Crash Rate by Trick Type

Identify which tricks have higher crash rates. Focus training resources on high-risk maneuvers.

Crash Rate by Venue

Some courses may have higher crash rates due to difficulty or conditions. Use this to prepare athletes for challenging venues.

Appendix

Crash Type Distribution

Shows DNF, Missing Jump, and Inferred crashes. Hover over Inferred to see breakdown by detection method.

Crash Detection Methodology

Crashes are identified through three methods:

  • DNF (Did Not Finish): Explicitly marked as DNF or DNS in competition results. These are confirmed crashes or falls where the athlete did not complete their run.
  • Missing Jump: Runs where an expected jump (Air 1 or Air 2) was not recorded. This indicates the athlete may have skipped or failed to complete a jump, often due to a fall or loss of control approaching the jump.
  • Inferred Crashes: Detected through statistical analysis of run data:
    • Turns & Line Outlier [>2sd]: Athletes whose turns/line scores fall more than 2 standard deviations below the mean for their age group, suggesting a significant error or fall.
    • High Run Time [>2sd]: Run times more than 2 standard deviations above the mean, indicating the athlete may have stopped or slowed significantly during the run.
    • Combined Outliers: Runs flagged by both turns/line and run time anomalies, providing higher confidence of a crash.

Note: Inferred crashes are statistical estimates and may include some false positives. DNF and Missing Jump crashes are derived from competition data.