Your boat has physics. Your race had conditions. Everything else? That's you.
The Performance Potential Index decomposes sailing performance into three measurable, explainable pillars.
Physics. Conditions. Crew.
Every race result is shaped by three forces. The PPI measures each one independently — giving racers, naval architects, and analysts a way to see exactly where performance comes from.
Physics Potential
Hull and sail plan efficiency from ORC polar physics. SailEdge Delft-derived force-balance analysis captures what the design gives you — independent of who sails it or where.
Archetype Condition Fit
How well the design type suits the conditions it raced in. The 11-archetype MPAE engine crossed with ERA5 weather data reveals whether the conditions favoured or challenged the design.
Crew Execution
The residual. Everything the crew controls after removing physics expectations and weather context. Tactics, boat handling, sail selection, preparation — measured, not guessed.
Design PPI and Race PPI.
Every boat in FleetEdge receives a Design PPI — computed from ORC certificate physics and weather-model condition fit. It covers 9,591 ORC boats with individual race observations, including boats that have never raced the same event. Design PPI reveals the structural potential a boat carries before it leaves the dock.
Boats with race data receive the full Race PPI — adding the one dimension that cannot be computed from a certificate: crew execution. It measures what happened against what was expected. 1,001 boats with empirical results.
What a PPI breakdown looks like.
Every PPI score decomposes into its constituent pillars. Here is how the three-pillar attribution works for a single boat — an IRONWIND archetype racing in transitional Mediterranean conditions.
The boat's physics potential is strong — SailEdge places the sail drive index at the 93rd fleet percentile. Conditions favoured the IRONWIND archetype, adding an 11.2 sec/nm advantage (79th percentile). But the crew execution residual tells a different story: 6th percentile, well below fleet. Four observations from two venues — the estimate is directional, not definitive.
What this tells you: Strong design, favourable conditions — crew execution is the limiting factor. But with limited observations, the score is directional. More races will sharpen the estimate.
No black boxes.
Every PPI score shows its reasoning — what contributed, how confident the estimate is, and what it does not measure.
Reason Chain
Each score traces to its data sources — ORC certificate physics, MPAE archetype assignment, ERA5 weather match, and observed race performance. Follow the reasoning from composite score to individual data points.
Confidence Tiers
Every component receives a confidence level: low, medium, or high. Overall confidence follows the weakest link — a strong design score cannot mask an uncertain crew estimate.
Limitations
Scores state what they do not measure. A single-venue boat is told its estimate may reflect venue-specific factors. Boats in the 40th–59th percentile are described as "mid-fleet" — no false precision.
The data behind the scores.
Physics from ORC polar analysis, conditions from ERA5 weather data, crew from the residual after both are removed.
Go deeper.
Weather Intelligence
How ERA5 meteorological data enriches the conditions pillar — 429 race-dates across 9,591 ORC boats.
Crew Intelligence
The crew execution story — from residual to insight, with archetype-specific examples.
Fleet Archetypes
The 11 performance archetypes that power the condition fit pillar.
See Performance Potential in the Greece ORC fleet.
Greece ORC racing brings performance potential into sharp relief — see how the physics meets the fleet's regime and rivalries.
Explore Greece ORCPhysics. Conditions. Crew. Measured.
The Performance Potential Index — the first three-pillar decomposition in sailing analytics. Every score explainable. Every confidence stated.