How Full Are Padel Courts at the Busiest Times?

The clearest sourced country-level reference points are 85% occupancy at 7 p.m. in the UK and 74% at 8 p.m. in the Netherlands. Across the broader 6 a.m.–11 p.m. window, the corresponding figures were 39% and 28%. These are Playtomic’s 2025 platform data, reported in the Global Padel Report 2026, not universal targets. Each peak result covers one reported hour, so clubs should measure their own peak, off-peak, completed-play and paid utilization separately.

The available peak-time occupancy benchmarks

The report’s comparison of Playtomic’s 2025 occupancy data is:

Market	Occupancy, 6 a.m.–11 p.m.	Busiest reported hour
UK	39%	85% at 7 p.m.
Netherlands	28%	74% at 8 p.m.

Source: Global Padel Report 2026.

The distinction between the final two columns matters. Each peak figure represents occupancy during the busiest single reported hour, not throughout the evening. It cannot be substituted for occupancy across a multi-hour peak band or the full operating day.

The figures quantify the gap between peak scarcity and broader utilization, but they do not establish what a typical individual club should achieve. Country-level results can contain clubs with very different locations, court numbers, opening schedules, facility types and demand profiles.

The table is labelled as Playtomic data, so it may reflect clubs or bookings observable through that platform rather than every venue and booking channel in either country. The supplied report extract does not disclose sample sizes, club-selection rules, city-level splits or seasonal variation.

The evidence therefore supports two country-level reference points, not an independently validated universal target for padel peak-time occupancy.

How to calculate peak-time occupancy correctly

A club’s peak-time occupancy rate should compare occupied capacity with available capacity over the same defined period:

Peak occupancy (%) = occupied court-hours during the peak period ÷ available court-hours during the peak period × 100

Available court-hours normally equal:

Number of courts × hours in the defined period − genuine court-closure hours

A genuine closure means the club or an individual court was not scheduled to be available, such as a full facility shutdown or a court closed because of unsafe conditions. That time should be removed from the occupancy denominator.

By contrast, a management block placed during otherwise scheduled operating time should remain visible. Under Playtomic’s occupancy methodology, bookings, tournaments and blocked hours count as occupied, while genuinely closed hours are excluded from available capacity. This measures inventory that cannot be sold, but it does not prove that the court generated revenue or that anybody played.

Hypothetical example

A club with eight courts across a three-hour peak band has:

8 courts × 3 hours = 24 available court-hours

If those courts record 21 occupied court-hours during the period:

21 ÷ 24 × 100 = 87.5% peak occupancy

This is an illustrative calculation, not the measured performance of an actual club.

The safest reporting practice is to state both the period and the treatment of court time. For example:

• Peak period: weekdays, 6–9 p.m.
• Available capacity: scheduled court-hours after genuine closures
• Occupied: reservations, tournaments, coaching and management blocks
• Reported separately: blocks, cancellations, no-shows and closure hours

Do not combine a single peak hour, a three-hour evening band and a full operating day into one percentage. Identical percentages calculated over different periods do not describe the same operating conditions.

Where bookings have different durations, convert them to court-hours. A 90-minute reservation contributes 1.5 occupied court-hours; it should not be counted as one hour merely because it is one booking.

Booked, played, paid, or blocked: choose the metric you mean

“Occupancy” can answer several different questions. A booking system may show that a court was unavailable, while an operator may need to know whether the match happened, whether it generated revenue or why the capacity was blocked.

Metric	Calculation	What it answers
Booked occupancy	Reserved court-hours ÷ available court-hours	How much scheduled capacity was reserved
Completed-play utilization	Court-hours actually used ÷ available court-hours	How much physical play occurred
Revenue-producing occupancy	Paid court-hours ÷ available court-hours	How much capacity directly generated court revenue
Operational unavailability	Management-blocked hours ÷ scheduled court-hours	How much scheduled capacity management made unavailable

For the first three metrics, available capacity should exclude genuine closures. For operational unavailability, use scheduled court-hours before management blocks are applied. Report genuine closure time separately rather than blending it into operational blocks or occupancy.

Completed-play utilization requires check-in data, court-access records or another consistent method of confirming that play occurred.

Revenue-producing occupancy addresses a different question. A complimentary community session or maintenance block may make a court unavailable without producing court-hire revenue. Conversely, a programme may generate coaching, membership or event revenue rather than a conventional court fee. Operators should define “paid” before comparing periods or venues.

Court time should be assigned to disclosed categories such as:

• Reserved and played
• Reserved but cancelled
• Reserved but not attended
• Programme or event use
• Maintenance or event preparation
• Weather or safety closure
• Other management block

The reviewed guidance does not use one consistent treatment for non-revenue blocked hours. Playtomic includes blocks as occupied, while another operational analysis might isolate them from customer bookings. Either approach can answer a useful question, provided the definition and denominator remain consistent.

At minimum, report cancellations and no-shows alongside booked occupancy. Otherwise, a court that was reserved but left empty can make utilization appear stronger than it was.

Why a sold-out evening can hide weak all-day utilization

The country comparison above shows a substantial gap between the busiest hour and the broader operating window. A player searching only during the evening peak may encounter little availability even while clubs have spare capacity in the morning or afternoon.

Both conditions can therefore be true:

• Preferred evening inventory is constrained.
• The day as a whole remains underused.

This distinction affects investment decisions. A sold-out evening may indicate real capacity pressure, but it does not by itself show that another court would attract sufficient demand across the week.

High utilization also does not establish profitability. Price, discounting, revenue per court-hour, programme mix, rent, staffing, energy, maintenance, indoor coverage and ancillary revenue all affect the result. DoinSport’s commercial club-sizing guide associates particular all-day occupancy levels with break-even or financial health, but it does not disclose a supporting dataset, sample, geography or research method. Its thresholds should not be treated as validated industry standards.

Persistent pressure across comparable weeks is more informative than one crowded evening.

The useful comparison is not simply “full” versus “empty.” It is the shape of demand across the day: when capacity fills, how far ahead it fills, how long the pressure lasts and how much viable demand exists outside the constrained band.

A repeatable local peak-demand audit

Start by defining local time bands rather than assuming that every market peaks at the same time.

One commercial viability tool suggests checking nearby clubs on Tuesday and Thursday from 6–9 p.m., plus Saturday morning. These are practical starting windows from Beyond Padel’s observation methodology, not a validated industry standard.

Repeat observations across weekdays and weekends, then across different seasons and weather conditions. The available evidence does not establish a minimum number of weeks that guarantees reliability, so a consistent series of observations is more useful than a single snapshot.

For every observation, record:

• Venue
• Date of observation
• Observation time
• Playing date being checked
• Booking lead time
• Total courts
• Visibly available courts
• Facility type
• Indoor, covered or outdoor capacity
• Weather
• Booking channel
• Relevant events, leagues or holidays

Booking lead time is essential. Checking tonight’s availability shortly before play answers a different question from checking the same period seven days in advance. Record both the observation time and the playing time so those situations are not mixed.

If only a public booking interface is available, calculate visible booked share as:

Visible booked share = 1 − (visibly available courts ÷ total courts)

For example, if a six-court venue shows one court available for a particular hour:

1 − (1 ÷ 6) = 83.3%

Call this a booking-availability proxy, not verified occupancy. A public interface may omit private reservations, management blocks, inventory sold through another channel, later cancellations or no-shows. It shows what an outside customer could apparently book at that moment, not necessarily what was paid for or played.

For the final analysis, segment observations by:

• Individual court and hour
• Weekday versus weekend
• Booking lead time
• Season and weather
• Indoor, covered and outdoor capacity
• Programme versus casual booking
• Peak versus off-peak period

This prevents a rain-affected outdoor venue, a heavily programmed indoor club and a casual pay-and-play facility from being treated as directly comparable.

How to interpret pressure and respond without overclaiming

Occupancy is capped at 100%, so it cannot reveal how many additional customers wanted the same court-hour. Hidden or unmet demand must be assessed through other signals:

• Booking lead time
• Speed at which slots sell out
• Waitlist size
• Unsuccessful booking attempts
• Availability-alert subscriptions
• Waitlist conversions
• Repeated searches for the same period

One player reported that prime slots could disappear within a minute while six friends coordinated bookings. That individual Reddit account illustrates possible booking pressure, but it is not representative market evidence and does not quantify occupancy.

A simple decision framework can separate different operating problems:

Observed pattern	Likely interpretation	Testable response
High peak occupancy with persistent waitlists	Recurring scarcity may exceed peak supply	Test waitlists, alerts, booking limits or demand shifting
High peak occupancy without waitlists	A narrow peak may be adequately served	Monitor sellout lead time before adding capacity
Weak daytime occupancy	Capacity exists outside preferred hours	Test off-peak programmes, packages or segmented pricing
High cancellations or no-shows	Bookings may overstate completed play	Test prepayment and clearer cancellation controls

Common peak-demand controls include waitlists, availability alerts, prepayment, clear cancellation rules and player matching. For quieter periods, options include segmented pricing, recurring off-peak packages, coaching, leagues, organized games, memberships, and corporate or community programmes.

These are interventions to test, not proven ways to increase utilization or profit in every market. Measure each change against a defined baseline using:

• Peak occupancy
• Off-peak occupancy
• Completed-play utilization
• Cancellation and no-show rates
• Waitlist conversions
• Player frequency
• Revenue per court-hour

The usable benchmarks are the two country-level peak-hour results reported above, but neither is a universal target. A credible local assessment defines its own peak band, excludes genuinely closed capacity, keeps management blocks visible, separates bookings from completed and paid play, and reads occupancy alongside waitlists, booking velocity, cancellations, off-peak use and revenue per court-hour.