60.8%
Booked up to 24 hours before the start
740 of 1,218 player bookings with a valid lead time.
How this share is calculatedOne club. Real booking data.
Tennis Court Utilization Report 2026
How tennis players book: How far ahead do they reserve a court, when do their sessions start, and how is booked court time used?
Insights from one tennis club for the people responsible for planning court time.
e-MasterClub · Updated
Methodology and limitations
The data behind the report
1,219
Player bookings
Singles, doubles, and challenge matches, totaling 1,284.1 booked hours.
- Club studied
- 1 tennis club
- Court facilities
- 6 outdoor courts
- Data period
- to
Three insights for court planning
The key findings
These data describe one club. They show booking behavior and reserved time; they do not provide a court utilization rate or a comparison across German tennis clubs.
39.2%
Start between 17:00 and 18:59
478 of 1,219 player bookings start during these two hours.
Compare start times49.0%
Of booked hours are for training
Based on 5,867.6 booked court hours across all booking types.
Compare booking types01 · Booking lead time
Players often book no more than 24 hours ahead.
740 of 1,218 player bookings with a valid lead time are made up to 24 hours before their start.
Lead time is the time between creating a reservation and its start. “Up to 24 hours” can therefore include a booking made on the previous calendar day.
How to read these percentages
- Up to 24 hours 740 bookings
- 60.8%
- Up to 48 hours 926 bookings, including the 740 above
- 76.0%
- Up to seven days 1,201 bookings, including the 926 above
- 98.6%
Each longer window includes the shorter ones. Do not add these percentages together.
Calculation for 24 hours: 223 + 241 + 276 = 740 bookings in the first three groups. 740 ÷ 1,218 × 100 = 60.8% (rounded).
For your planning: Check whether members can easily find and book available courts at short notice. See how online court booking and booking rules connect availability and advance booking windows.
The six groups from the source analysis show the time between reservation and session start.
Based on 1,218 player bookings with a valid lead time.
Bookings
Linear scale from 0 to 300 Bookings.
-
Under 1 hour 223 · 18.3 %
-
1–6 hours 241 · 19.8 %
-
6–24 hours Highest value 276 · 22.7 %
-
1–2 days 186 · 15.3 %
-
2–7 days 275 · 22.6 %
-
More than 7 days 17 · 1.4 %
All values as a table
| Lead time | Bookings | Share |
|---|---|---|
| Under 1 hour | 223 | 18.3 % |
| 1–6 hours | 241 | 19.8 % |
| 6–24 hours | 276 | 22.7 % |
| 1–2 days | 186 | 15.3 % |
| 2–7 days | 275 | 22.6 % |
| More than 7 days | 17 | 1.4 % |
The source does not document exactly how values at interval boundaries are assigned. The original groups are therefore preserved. More about the methodology
02 · Start times
Most bookings start between 16:00 and 20:00.
The hour starting at 17:00 has the most starts, with 263 bookings.
Between 17:00 and 18:59, 478 of 1,219 player bookings begin (39.2%). The wider window from 16:00 to 19:59 accounts for 691 starts (56.7%).
Start times do not measure occupancy
The chart counts when a reserved session begins. It does not show how long the court remains occupied. A large number of starts alone does not establish a shortage of courts.
For your planning: Look at training blocks and opportunities for individual play together, especially in the late afternoon.
Each row covers the hour beginning at the stated time, for example 17:00 to 17:59.
Based on 1,219 player bookings.
Bookings
Linear scale from 0 to 300 Bookings.
-
08:00 13 · 1.1 %
-
09:00 81 · 6.6 %
-
10:00 129 · 10.6 %
-
11:00 97 · 8.0 %
-
12:00 37 · 3.0 %
-
13:00 28 · 2.3 %
-
14:00 41 · 3.4 %
-
15:00 71 · 5.8 %
-
16:00 118 · 9.7 %
-
17:00 Highest value 263 · 21.6 %
-
18:00 215 · 17.6 %
-
19:00 95 · 7.8 %
-
20:00 29 · 2.4 %
-
21:00 2 · 0.2 %
All values as a table
| Start hour | Bookings | Share |
|---|---|---|
| 08:00 | 13 | 1.1 % |
| 09:00 | 81 | 6.6 % |
| 10:00 | 129 | 10.6 % |
| 11:00 | 97 | 8.0 % |
| 12:00 | 37 | 3.0 % |
| 13:00 | 28 | 2.3 % |
| 14:00 | 41 | 3.4 % |
| 15:00 | 71 | 5.8 % |
| 16:00 | 118 | 9.7 % |
| 17:00 | 263 | 21.6 % |
| 18:00 | 215 | 17.6 % |
| 19:00 | 95 | 7.8 % |
| 20:00 | 29 | 2.4 % |
| 21:00 | 2 | 0.2 % |
03 · Booked court time
Training accounts for almost half of all booked hours.
49.0% of reserved court time is for training.
Singles, doubles, and challenge matches together account for 1,284.1 hours (21.9%). The overview also includes organized match play, events, tournaments, and court maintenance.
This chart counts hours, not bookings
The total is 5,867.6 booked hours from 3,257 historical bookings. Longer reservations therefore carry more weight. Unbooked court hours are not included.
For your planning: Coordinate scheduled club activities with the times when members want to arrange their own games. Explore how training management organizes recurring sessions.
Shares of booked time across all booking types, including court maintenance.
Based on 5,867.6 historically booked court hours.
Hours
Linear scale from 0 to 3,000 Hours.
-
Training Highest value 2,877.0 · 49.0 %
-
Organized club play 1,031.5 · 17.6 %
-
Singles 907.5 · 15.5 %
-
Events 504.0 · 8.6 %
-
Doubles 346.8 · 5.9 %
-
Tournaments 158.0 · 2.7 %
-
Challenge matches 29.8 · 0.5 %
-
Court maintenance 13.0 · 0.2 %
All values as a table
| Booking type | Bookings | Hours | Share |
|---|---|---|---|
| Training | 1,617 | 2,877.0 | 49.0 % |
| Organized club play | 319 | 1,031.5 | 17.6 % |
| Singles | 948 | 907.5 | 15.5 % |
| Events | 72 | 504.0 | 8.6 % |
| Doubles | 248 | 346.8 | 5.9 % |
| Tournaments | 27 | 158.0 | 2.7 % |
| Challenge matches | 23 | 29.8 | 0.5 % |
| Court maintenance | 3 | 13.0 | 0.2 % |
From data to club planning
Three questions for your club
These suggestions are drawn from one club. Assess them against your own membership, training programs, and available playing times.
Are available times easy to find?
An up-to-date court overview helps with short-notice reservations. Check the whole process from finding a free slot to confirming a booking, including on a smartphone.
Do training and individual play fit together?
Compare training blocks with member demand. To assess capacity shortages, you also need available court hours and the full duration of occupied slots.
Are your booking rules clear?
Make it clear how far ahead members may book and how to release a reservation they no longer need. These data do not establish which rule works best.
Putting the findings in context
Methodology and limitations
The findings describe one club. They are not a representative survey of all German tennis clubs.
Booked time is not proof of attendance. A utilization rate cannot be calculated without available opening hours and blocked periods.
- Source and period
- Anonymized e-MasterClub booking data from one club with 6 outdoor courts, from to . The 2026 edition covers this entire period.
- Historical data snapshot
- 3,257 bookings totaling 5,867.6 hours. Future reservations are excluded from the historical aggregates. The cutoff date does not change when the page is viewed.
- Which bookings are included?
- Lead time and start time analyses include only singles, doubles, and challenge matches: 1,219 bookings totaling 1,284.1 hours. The court time distribution includes all booking types.
- Why are there two sample sizes?
- 1,219 bookings provide start times; 1,218 have a valid lead time. Bookings excluded from the lead time analysis: 1. The specific reason for the invalid lead time was not supplied.
Calculations, privacy, and further limitations
Time groups and rounding
Lead time groups follow the source analysis. Their exact interval boundaries are not formally documented. Percentages are calculated from the stated booking counts or hours and rounded to one decimal place. Rounding can cause totals to differ from 100%. Hours are also supplied to one decimal place.
What the time data do not show
Booking starts are counted by their starting hour. Hourly occupancy would require the full booking intervals to be taken into account. Actual hours played and differences between seasons or individual years are not analyzed separately here.
Privacy and people making bookings
Only curated aggregates are published. Individual booking records, names, identifiers, and free-text fields are excluded. The page does not access private club bookings. The underlying records include 97 distinct people making bookings; this is neither a membership count nor the number of players in the historical sample.
Cancellations and applicability
The cancellation sample contains only 8 records and is too small for reliable general conclusions. No cancellation rates are therefore published. The distributions do not establish causes or the effects of particular booking rules.
Publication and updates
Publisher: e-MasterClub. First published: . Updated: . Additional anonymized data may be included in later editions, with the period and sample updated accordingly.
Your next step
Court planning with e-MasterClub
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