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
Crash Rate by Age Group
Displays crash rate percentages for each age division. Bar colors indicate severity: green (<5%), yellow (5-10%), and red (>10%).
Crash Rate by Competition Level
Compares crash rates across Devo, RQS, and COMP event types. Each bar represents the percentage of runs resulting in crashes at that competition level.
Crash Rate Trend by Season
Line chart showing crash rate percentage across seasons. Each point represents the overall crash rate for all runs in that season.
Crash Rate by Trick Type
Ranks the top 15 tricks by crash rate percentage. Bar colors indicate severity: green (<8%), yellow (8-15%), and red (>15%).
Crash Rate by Venue
Horizontal bar chart ranking venues by crash rate. Shows the top 20 venues with the highest percentage of crashes per run.
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.