LNER Performance

Independent performance data for LNER 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
67.8%
ran and arrived on time
On-time (if ran)
76.2%
within 5 minutes
Cancellation Rate
11%
of services
Avg Delay
5.6 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 peak91.1%2.1 min29,457
Off-peak75.8%5.5 min90,024
Evening peak72.6%6.2 min39,078
Late/early71.9%7.2 min60,774

Performance by day of week

Day On-time % Avg Delay Services
Monday80.6%4.3 min33,388
Tuesday73.8%6.8 min33,568
Wednesday74.5%6.1 min33,313
Thursday75.7%5.1 min34,058
Friday74.8%5.8 min31,324
Saturday76.2%6.8 min29,497
Sunday78.4%4.4 min24,185

Monthly history

Month On-time % Avg Delay Cancellation Rate Coverage
April 202673.5%6.1 min7.2%100%
March 202677.9%5.1 min22.4%87.1%

Best performing routes

Route On-time % Avg Delay Services
XNL to Skipton100%0.1 min63
Middlesbrough to XHT100%0 min51
XTT to Lincoln Central98.2%0.5 min55
Doncaster to Leeds97.8%1 min46
Northallerton to Edinburgh97.7%1 min44

Worst performing routes

Route On-time % Avg Delay Services
London Kings Cross to Alexandra Palace33.3%16 min21
London Kings Cross to Reston34%17.3 min47
London Kings Cross to Aberdeen36.3%16.5 min240
Inverness to London Kings Cross41.2%15.7 min68
Aberdeen to London Kings Cross41.4%17 min198
View LNER 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.