CrossCountry Performance

Independent performance data for CrossCountry from Network Rail TRUST train movement records.

Based on 37 days of data (2026-02-27 to 2026-04-05) | Last updated: 5 April 2026
On-time
77.1%
within 5 minutes
Avg Delay
4.2 min
minutes late
Cancellation Rate
11.5%
of services
Total Services
13,210
in period
Compared to the previous 60 days: Not enough data to calculate trend.

Performance by time of day

Period On-time % Avg Delay Services
Morning peak91.6%1.9 min20,474
Off-peak80.4%4.1 min62,917
Evening peak75.3%5.1 min28,914
Late/early74.9%5.3 min37,517

Performance by day of week

Day On-time % Avg Delay Services
Monday77.6%4.2 min23,174
Tuesday75.1%5.1 min23,383
Wednesday78.1%3.8 min23,259
Thursday74.9%4.8 min22,964
Friday77.5%3.6 min24,982
Saturday79.8%3.4 min25,718
Sunday75.4%4.3 min11,246

Monthly history

Month On-time % Avg Delay Cancellation Rate Coverage
March 202676.4%4.3 min11.6%83.9%

Best performing routes

Route On-time % Avg Delay Services
Reading to Reading100%0.3 min46
Paignton to Paignton100%0.1 min42
XTS to Nottingham100%0 min24
Derby to Nottingham100%1.4 min20
Southampton Central to Bournemouth100%0.6 min19

Worst performing routes

Route On-time % Avg Delay Services
Cardiff Central to Rowley Regis20%8.9 min10
Edinburgh to Penzance43.8%9.9 min16
Plymouth to Aberdeen43.8%10.4 min16
Birmingham New Street to Newcastle44.4%15.5 min18
Paignton to Manchester Piccadilly45.2%11 min42
View CrossCountry Delay Repay guide →
Data source: Network Rail TRUST train movement data. Contains public sector information licensed under the Open Government Licence v3.0. These are independent calculations and are not official statistics published by the Office of Rail and Road. On-time is defined as arriving within 5 minutes of the planned time. For official statistics, visit the ORR Data Portal.

Performance figures are calculated independently by Train Badger from Network Rail TRUST data and may differ from official ORR statistics due to differences in methodology, data coverage, and reporting periods. Always refer to the ORR Data Portal for official statistics.