SAILING PERFORMANCE ANALYSIS
See the result. Understand where performance changed.
Sail Metric is a sailing race and training analysis platform developed by Bilişim Atölyesi. It brings GPS tracks, speed and direction data, course geometry and suitable wind data into a shared workflow for sailors and coaches.
A results table tells you how a race finished. Sail Metric helps teams examine the legs, route choices and maneuvers behind that result. Maps, timelines, performance charts and comparative analysis support a more detailed post-race debrief.
Examine the start and each mark rounding
GPS tracks are analysed against a defined start line, start time and course marks. Teams can examine line-crossing time, the time difference from the start signal, crossing speed and position along the line.
Mark-rounding analysis considers approach and exit speed, minimum speed, speed retention and recovery time.
These indicators support technical debriefing. They do not replace official starting decisions, race-officer or jury decisions, or published race results.
Compare routes and performance by leg
Race tracks can be reviewed on a map and compared through elapsed time, distance sailed, speed and leg-level differences. Fleet, leader and selected-competitor comparisons help identify where differences emerged rather than relying on the finishing position alone.
- GPS tracks and speed charts aligned with time
- Start-line, course and mark definitions
- Leg duration, distance and speed comparisons
- Fleet and selected-boat comparisons
- Upwind, reaching and downwind classification when suitable wind data is available
Measure what happens through a maneuver
Tack and gybe analysis combines entry speed, minimum speed, speed loss, recovery time and estimated distance loss. Coaches can compare similar maneuvers using a consistent set of indicators and use the findings to inform the next training session.
Analysis rules vary by sailing class. Classes such as ILCA, 470, iQFOiL and Formula Kite have different speed ranges and maneuver characteristics, so their data should not be interpreted through identical thresholds.
For foiling classes, speed-based indicators of foiling continuity depend on the available data and are distinguished from direct sensor measurements.
Put wind data in context
Training records can be matched to environmental measurements by time and location. When suitable wind-direction data is available, the analysis can include true wind angle (TWA), wind-relative legs and derived VMG indicators.
Speed over ground (SOG) and course over ground (COG) describe movement relative to the ground; they are distinct from speed through water and compass heading.
The platform’s wind-forecast view is separate from environmental observations recorded during training. Forecast models provide planning context and are not presented as direct measurements of a past race.
A shared workflow for sailors, coaches and teams
Sailors can manage FIT, GPX, KML and CSV records in a training library. Coaches can review the athletes assigned to them, add notes and assessments, and validate analysis against observations from the water.
Organisation-scoped roles connect athlete, coach and management workflows.
Reports, comparisons and session history help carry the debrief into training planning. Computed indicators depend on sampling frequency, GPS quality, course definitions, wind information and class-specific profiles.
Coach interpretation and field validation remain part of that process.
Explore Sail Metric for your team
We are developing a practical analysis workspace for sailing teams, coaches, clubs, schools and federations. Talk to Bilişim Atölyesi about your data sources, sailing classes and race-analysis requirements.