padelnomics Score
One score to evaluate padel investment potential — supply gaps, catchment area, market maturity, and sports culture combined into 0-100.
What Is the Padelnomics Score?
The Padelnomics Score is a 0-100 index that evaluates how attractive a location is for a new padel facility. It combines supply-side gaps (are there enough courts?) with demand-side signals (population, income, sports culture) and adjusts for market maturity. A high score means: there is addressable demand, the area is underserved, and conditions favor a new investment.
What It Measures
Several factors combine into the final score. Each captures a different aspect of investment potential.
Catchment Population
The population reachable from the location within a defined catchment radius. A larger catchment means more potential players and a bigger addressable market for a new facility.
Economic Power
Regional income adjusted for purchasing power. Higher disposable income supports premium pricing and more frequent play.
Supply Deficit
The most heavily weighted factor. Measures two signals: how far court density falls below the national benchmark, and how far the nearest existing court is. Dampened by market existence — a supply gap in a country with no proven padel demand carries less weight than one in an established market.
Sports Culture
Nearby tennis court density as an indicator of racquet sport adoption. Regions with strong tennis infrastructure have a ready audience for padel — a closely related sport with a lower barrier to entry.
Construction Affordability
Income relative to regional construction costs. Higher affordability means better margins on the build — your revenue potential isn’t eaten by construction costs.
Market Headroom
Countries with already saturated markets (e.g. Spain) score lower here — the national market is competitive. Emerging markets score higher — more room to grow.
How to Read the Score
Strong investment potential. Significant supply gaps, strong catchment, and favorable market conditions. These locations are prime targets for new facilities.
Decent fundamentals but the market is partially served. Success depends on precise site selection, pricing, and facility quality.
The area is comparatively well-served or has limited demand signals. New facilities face stiffer competition and need a strong value proposition.
Our Data
The score combines three categories of input: official statistical data on population, income, and demographics; open geospatial sources for venue locations; and live court booking and pricing data from a curated set of sources. All inputs are refreshed on a regular schedule.
How fresh is the data?
Every metric on this site is recomputed daily. The underlying sources refresh on their natural cadence:
Daily
Live court booking and pricing signals — availability is sampled throughout the day, and occupancy and rate benchmarks are rebuilt every night.
Monthly
Venue locations, court counts and official statistics on population and income.
Quarterly
Building and land-registry data used for hall-level analyses.
Confidence, metric by metric
If we wouldn't put a number in front of a credit committee without a caveat, the caveat is printed here.
| Metric | Based on | Refresh | Confidence | Known limit |
|---|---|---|---|---|
| Venue locations & counts | Open geodata, cross-checked against booking listings | Monthly | High | Very new venues can lag by a few weeks |
| Occupancy (per venue) | Live booking-grid density | Daily | High | Only venues that publish bookable slots online |
| Peak & off-peak rates | Live booking prices | Daily | High | Membership and package pricing is not visible |
| Population & income | Official statistics | Monthly | High | Official releases lag 1–2 years |
| Planner defaults | Blend of the above, capped to plausible planning ranges | Daily | Medium | A starting point — always adjust to your project |
| Padelnomics Score (0–100) | Proprietary composite of the above | Daily | Directional | Ranks locations; it does not predict revenue |
Limitations
The score evaluates location-level potential, not project-level feasibility. It cannot account for site-specific factors like land availability, zoning, lease costs, or local competition details. Always combine the score with on-the-ground research.
Data coverage varies by country. European markets have the strongest data (detailed income statistics, dense venue listings). Emerging markets may have less granular income data, which affects the economic power and affordability components.
Occupancy is a booking-grid proxy
We measure booked density on venues that publish bookable slots online. Walk-ins, club-internal bookings and venues without online booking are invisible to it. In markets with dense online-booking coverage the signal is strong; elsewhere it is thinner — and treated as such.
Defaults are starting points, not verdicts
Planner defaults are blended market medians, capped to plausible planning ranges. Your venue, your lease and your pricing will differ — that is why every assumption is adjustable and the sensitivity analysis exists.
The score ranks; it doesn't predict
A high score means strong fundamentals relative to other locations — not a revenue promise. Treat it as a screening tool that gets you to a shortlist, not a decision.
Source dependency, stated openly
Our occupancy benchmarks lean on live booking data from a curated set of sources. If access to one source ever changed, the fallback is defined in advance: additional booking platforms and venue-level sampling. Benchmarking would degrade gracefully, not vanish.
Found a number that looks wrong? Tell us at [email protected] — we check every report.
Frequently Asked Questions
What is the Padelnomics Score?
A 0-100 index that evaluates how attractive a location is for building a new padel facility. It combines supply gaps, catchment population, economic power, sports culture, construction affordability, and market headroom into a single number.
How often is the score updated?
Every metric is recomputed daily. Booking and pricing signals are sampled throughout the day; venue locations and official statistics refresh monthly; building data quarterly.
Why does a city with many padel courts score low?
The score rewards underserved areas. A city with high court density relative to population has a small supply deficit — the most heavily weighted factor. Well-served cities can still score moderately if other factors (catchment, economics) are strong.
How does market maturity affect the score?
Market maturity is captured in two ways: the supply deficit component directly measures local court density, and the market headroom component weighs country-level maturity. Countries where padel is already dominant (like Spain) provide less headroom than emerging markets.
Can I use the score for my business plan?
Yes — the score is designed as a screening tool for site selection. Use it to shortlist promising locations, then dive deeper with the financial planner to model revenue, costs, and returns for your specific scenario.