Discover where and when pilots fly cross-country. Analysis of 10 years of XContest data showing the most reliable takeoff sites by country and season.
Dr. Rafał Noga — Freelance engineer specializing in data analysis, modelling & simulation, control systems, and trajectory optimization for paraglider-wing-based systems. Formerly at SkySails, working on Airborne Wind Energy (energy generation using tethered wing/kite systems). More: noga.es
Best Regions by Season
Share with friends:
Flyable days are defined as days with a minimum of 3 flights, each scoring over 100 points and registered within a 200-km-diameter zone. Averages are computed across 10 years. Data source: Xcontest 2015-2024.
Share with friends:
1. Colombia, Valle de Cauca: Roldanillo, Piedechinche, Ansermanuevo Share with friends:
Where Do High-Scoring Paragliding XC Flights Start?
Share with friends:
Average number of XC flights per week per takeoff (5 km cluster), 10-year average (2015–2024). Data source: Xcontest.
XC flights >200 points Share with friends:
XC flights >300 points Share with friends:
XC flights >400 points Share with friends:
Most Frequented XC Takeoffs by Country
Share with friends:
Average number of XC flights (>100 points) per week per takeoff (5 km cluster), 10-year average (2015–2024). Click on any chart to view full size. Data source: Xcontest.
Beyond paragliding data, I'm a freelance engineer specializing in paraglider-wing-based systems. Formerly at SkySails, working on Airborne Wind Energy (energy generation using tethered wing/kite systems). I offer:
Data analysis & visualization: Custom statistical analysis, dashboards, and interactive reports from flight or sensor data.
Modelling & simulation: Dynamic models for aerodynamic, mechanical, and energy systems.
Control systems & MPC: Advanced process control, model predictive control, and optimization-based control design.
Trajectory optimization: Optimal flight paths, setpoint generation, and constraint-aware planning.
Sensor fusion & state estimation: EKF/UKF, observer design for robust real-time estimation.