Plan your next UK padel club

Search a postcode below, or click the map to drop a pin

Pick a location to see its 0–100 score, local demand and supply data

Inputs

Court mix, opening hours and hire rate

1. Opportunity score (0–100)

Each local authority is scored on three pillars then percentile-ranked across the UK so the top area lands at 100 and the bottom at 0. The pillars are weighted 40% demand (10-mile catchment population, income, density, age), 40% supply gap (courts per capita in the catchment, absolute headroom vs the mature-market target, courts within a 10-mile catchment, and pending planning applications) and 20% evidence (how existing clubs in or near the area actually perform). Areas without nearby clubs fall back to regional evidence; isolated areas get a neutral 50. The five tiers — Top opportunity, Strong, Moderate, Limited, Low — are quintiles of the final scaled score. When you drop a pin inside an area, the score is nudged ±15 based on whether the pin's exact 10-mile catchment is more or less crowded than the area's centroid baseline.

2. Capacity headroom (vs mature markets)

Mature padel markets like Spain and Sweden run at roughly 1 court per ~3,000 people (Spain has ~16,000 courts for 50M people). The UK today averages about 1 per ~46,000 — roughly 1,400 courts across 69M people. We don't assume the UK will fully match Spain, so we use a conservative target of 1 court per 10,000 people (roughly a third of Spain/Sweden's density) as a realistic ceiling. The "headroom" stat for each area is `catchment population ÷ 10,000` (catchment = the 10-mile circle around the pin or area centroid, summed from MSOA-level mid-year population estimates so it crosses LAD borders rather than stopping at them) minus the courts already inside that circle — and it feeds into the supply-gap pillar of the opportunity score, so dense urban catchments with hundreds of missing courts score higher than sparse areas with great per-capita ratios but only a few absolute courts to build.

3. Revenue projection

Your projection picks comparable clubs within a 15–75 mile radius (widening until ≥3 comparables are found), weighting each by distance, court-count similarity and indoor/outdoor mix. The estimated occupancy is a weighted blend of those comparables; monthly revenue is then `courts × hours/day × 30.44 days × occupancy × hire rate`. The hire rate defaults to a distance-weighted area average but you can override it. Confidence reflects how many comparables were found and how close they are.