TransPennine Express Performance

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

Based on 84 days of data (2026-02-27 to 2026-05-22) | Last updated: 22 May 2026
Reliability
75%
ran and arrived on time
On-time (if ran)
83.5%
within 5 minutes
Cancellation Rate
10.2%
of services
Avg Delay
3.3 min
minutes late
Compared to the previous 60 days: On-time performance has declined by 0.3% compared to the preceding period.

Performance by time of day

Period On-time % Avg Delay Services
Morning peak91.2%2.1 min56,167
Off-peak83.7%3.3 min150,036
Evening peak79.5%3.8 min67,077
Late/early81.9%3.5 min117,105

Performance by day of week

Day On-time % Avg Delay Services
Monday85.1%2.9 min58,625
Tuesday83%3.3 min60,009
Wednesday83.3%3.7 min59,539
Thursday82.9%3.2 min60,151
Friday80.8%3.7 min58,017
Saturday82.3%3.5 min53,419
Sunday88.8%2.4 min40,625

Monthly history

Month On-time % Avg Delay Cancellation Rate Coverage
April 202683.4%3.3 min8.6%100%
March 202684%3.1 min12.8%87.1%

Best performing routes

Route On-time % Avg Delay Services
Oxenholme Lake District to XPU100%0 min45
Leeds to Scarborough100%0.6 min23
Leeds to Leeds100%0.3 min20
Doncaster to Sheffield100%0.7 min18
Manchester Oxford Road to Warrington Central100%0.6 min18

Worst performing routes

Route On-time % Avg Delay Services
Edinburgh to Manchester Piccadilly0%30.6 min10
XVS to Middlesbrough1.8%26.6 min56
Manchester Airport to Middlesbrough21.2%22.8 min52
XVS to Saltburn35.7%9 min28
Newcastle to XVS38.1%23.5 min21
View TransPennine Express Delay Repay guide →

How we calculate these figures

These statistics come from Network Rail's TRUST system, which records the actual time every train passes through each point on the network. We receive this data in real time and calculate performance independently.

Reliability is our headline metric. It answers the question most passengers care about: "If I turn up for a scheduled train, what are the chances it runs and gets me there on time?" It's calculated as: (trains that ran and arrived within 5 minutes) divided by (total scheduled trains). A cancelled train counts against reliability, because you can't ride a train that doesn't exist.

On-time (if ran) shows how punctual trains were, but only counting trains that actually ran. This is useful for understanding whether delays are the main problem, or cancellations. If reliability is low but on-time is high, the operator's main issue is cancellations rather than lateness.

Cancellation rate is the percentage of scheduled services that were cancelled, including both full and part-cancellations.

Average delay is the mean delay across all arrivals. Trains that arrived on time count as 0 minutes delay. This tells you how late trains typically are when they don't run to time.

What we exclude: We don't count "off-route" movements — these are signals recorded when a train passes through a station that isn't on its scheduled route (for example, a Heathrow Express triggering a sensor at a Great Western station it passes through). Including these would unfairly lower an operator's on-time score.

How this differs from official figures: The Office of Rail and Road (ORR) publishes official statistics using different thresholds and reporting periods, with post-publication corrections. Our figures are independently calculated and not revised after publication. For official statistics, see the ORR Data Portal.

Full methodology details →

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.