v1.0 industry review edition. Coverage, methodology and entity pages open for correction through March 2027. Release cadence.
Email [email protected].

Leeds Stourton — Period 13 2025-26 (1–28 March) report

Leeds Stourton received 156 monitored inbound services in Period 13 2025-26 — 88% arrived within 15 minutes of schedule across 121 completed arrivals, against a national freight benchmark of 90%. Inaugural Leeds Stourton period report; the Period 12 2025-26 trailing baseline is below the publishable threshold, so no comparison against the prior period is published.

Edition
v1.0 (industry review edition)
Last updated
28 March 2026
Next update
Period 1 2026-27 — 25 May 2026

Headline facts and figures

Services monitored

156

6 a day across the three Leeds Stourton TIPLOCs (LEEDFLT intermodal, LEEDFHH Heavy Haul, LEEDRGB Royal Mail Goods Branch); Period 13 2025-26 (1–28 Mar 2026); NROD-derived arrivals data; queried gauge_intelligence_v2 at 2026-05-25; the Period 12 2025-26 trailing baseline is below the publishable threshold for a defensible comparator

Within 15 minutes

88%

107 of 121 completed services arriving within 15 minutes of schedule (range 83–92% given the sample size); national freight benchmark 90% over 16,514 services in Period 13 2025-26; queried gauge_intelligence_v2 at 2026-05-25

Cancellation rate

18%

28 cancellations across 156 scheduled paths; queried gauge_intelligence_v2 at 2026-05-25; the Period 12 2025-26 trailing baseline is below the publishable threshold for a defensible comparator

Busiest operator

Freightliner Intermodal

100 of 121 completed arrivals (83%); GB Railfreight second at 20 (17%); aggregated by operator from TRUST toc_id; Period 13 2025-26; queried gauge_intelligence_v2 at 2026-05-25

Context

ORR publishes aggregates only; this page publishes destination-attributed terminal-level data. Material to yard planning, terminal allocation, and inland-terminal performance reviews.

What you can do with it

  • Track arrivals reliability at an inland terminal, attributed by destination TIPLOC.
  • Compare operator-by-operator reliability on services inbound to a single terminal.
  • Cite the methodology in terminal operations and corridor reviews.

Who can use it

Inland terminal operators · Yard planners · Rail journalists

Across Period 13 2025-26, roughly 1 inbound train a day arrived at Leeds Stourton more than 15 minutes late: about 1 in 8 of 121 completed arrivals over the 28-day period, 15 late arrivals in total. Figures aggregate every monitored journey arriving at the three Leeds Stourton TIPLOCs inbound along the East Coast Main Line, drawn from Network Rail's NROD/TRUST feed. Leeds Stourton is the Yorkshire end of Freightliner's container network, sitting on the former Stourton goods yard complex south of Leeds; Freightliner Intermodal carries the largest share of the inbound traffic. The Period 12 2025-26 trailing window is below the threshold for a stable comparator; subsequent periods will carry the comparison against the prior period. Cancellations are reported separately below, and ran materially higher than the national average in this period (28 of 156 scheduled paths cancelled), so the within-15-minutes figure above is computed over a smaller completed-arrivals denominator than the scheduled count alone would suggest.

Operators at Leeds-Stourton-inbound

Freightliner Intermodal ran the most leeds-stourton-inbound services in Period 13 2025-26 (100 of 121 completed arrivals). The full per-operator reliability comparison is deferred while the v1.0 industry review edition corrections inbox remains open.

Publishing a per-operator on-time comparison for the busiest freight operators at a single destination before the launch-cohort corrections cycle closes would treat provisional attribution as settled. The table returns at v2.0 general availability. The league-table methodology documents the comparison framework; the release cadence page sets out the four exit criteria for v2.0.

Source: Gauge Intelligence NROD-derived journey data, Period 13 2025-26. Single-destination headline figures (completed arrivals, aggregate within-15-minute rate, cancellations) continue to appear in the panels above; the per-operator breakdown is the panel deferred here.


What the 15-minute threshold hides

Half of Period 13 2025-26 services arrived within +1 min of timetable. The long tail the A2F binary misses: 5% of services ran +34 min or more late, and 1% arrived over +60 min late. The 15-minute A2F threshold sits at the 88th percentile — 12% of services exceeded it.

Percentile Arrival delay
50th percentile (median) — A2F threshold sits at the 88th percentile +1 min
75th percentile — A2F threshold sits at the 88th percentile +5 min
85th percentile — A2F threshold sits at the 88th percentile +9 min
90th percentile +18 min
95th percentile +34 min
99th percentile +60 min

121 services with confirmed terminal arrival in Period 13 2025-26. A2F is binary at 15 minutes — this distribution surfaces what the headline figure does not show. National 99th percentile across all freight operators: 98 min.

ORR's Freight rail usage and performance release publishes by Network Rail region and route, not by operator. This page publishes by operator and corridor.


Cancellation rate

In Period 13 2025-26, 19% of scheduled services were cancelled (29 of 156) — 5.1pp above the national mean of 14% across all freight operators; FOC traction, crew, and terminal decisions accounted for the largest share.

Scheduled or activated paths 156
Cancelled (post-activation + pre-activation) 29
Cancellation rate 19% 14%–24%
National cancellation rate (all freight) 14%

Attribution

Responsible party Cancellations Share of cancelled
Network Rail infrastructure and possessions 1 3%
FOC traction, crew, and terminal decisions 20 69%
Third party 1 3%
Unattributed 7 24%

Source: NROD/TRUST activation feed and BPLAN scheduled paths, Period 13 2025-26. Cancellation rate = (post-activation + pre-activation cancellations) ÷ scheduled or activated paths. Pre-activation cancellations are TRUST CANCEL messages on schedules that never activated; post-activation cancellations have an activation and a CANCEL event. The bracketed range beside the headline rate is the 90% confidence range on the cancellation proportion given the sample size. Cause attribution uses the responsible-party mapping of the recorded cancellation reason code; see delay-attribution methodology.


What this report doesn't yet carry

Three blocks routinely carried on more mature period reports are absent here, and the gap is disclosed rather than papered over:

  • SPC process-behaviour chart. The terminal has four weekly A2F points in Period 13 2025-26; the signal rules require eight before a stability or anomaly claim can be made. The block is suppressed.
  • Median-polish operator-by-week matrix. Two operators clear the minimum-journeys threshold across the period (Freightliner Intermodal 100, GB Railfreight 20) but the per-week cell depth is too thin for a defensible row-by-column decomposition, so no matrix is published.
  • Compositional delay-reason breakdown. Network Rail's Historic Delay Attribution feed for Period 13 2025-26 has not been imported at the as-of date of this report. Raw percentage-share comparison is misleading when shares are constrained to sum to 100% — an increase in any one cause forces a decrease in another — so the block is suppressed rather than substituted with a naked share. See the delay-attribution methodology.

The 12-week trailing baseline window (7 December 2025 to 28 February 2026) carries too few monitored arrivals to anchor a defensible change against the prior period, so this report does not quote one. Baseline depth becomes informative once a full quarter of monitoring has cleared, expected from Period 2 2026-27 onward.

Each of the suppressed blocks above unlocks as baseline depth grows. The first follow-up period (Period 1 2026-27, closing 25 April 2026) adds four more weeks of monitored arrivals, after which the weekly SPC threshold and the operator-by-week matrix become candidates for inclusion.


Methodology & sources

All figures derive from Network Rail's NROD TRUST feed, processed via the Gauge Intelligence ingest pipeline. Period definitions, A2F (Arrival to Fifteen), the Wilson 90% interval, daily anomaly rules, cross-view reconciliation, and delay attribution are documented at:

Data window — period boundaries and the data-as-of cutoff
League tables — cross-view reconciliation across the four analytical views
Anomaly detection — daily A2F SPC rules
Delay attribution — DAPR cause-code breakdown
Forecasting — prediction intervals and possession-exposure estimates

Three further reads sit behind the commercial licence: a Schedule 8 net-position figure netting the FOC-to-Network-Rail differential against payments the other way; a full DAPR breakdown attributing each cause-code's contribution by sample weight; and a Schedule 4 possession-exposure read tracing how planned blockades intersect terminal-bound path allocation. None is yet substantively informative at Leeds Stourton's current baseline depth — the period count that suppresses the SPC chart above leaves each licensed read with too few points to anchor. The licensed access page sets out the methodology behind each.

Revisions

No revisions to date.

A revision restates a published figure because the upstream data changed, typically a Network Rail delay-attribution refresh. The minor tier is corrected in the next release; cells affected carry an (r) flag. The intermediate tier triggers immediate amendment with an (r) flag. The wholesale tier is flagged at the top of the page and notified directly to operators and rail journalists subscribed to revision alerts.

Corrections

No corrections to date.

A correction fixes an error in the published output: an arithmetic slip, a typo, a mis-rendered chart. Revisions are different; they restate a figure because the upstream data changed. The distinction matters because corrections never silently rewrite a published number.