Delay analytics
Delay analytics · ' . esc_html($d['country']) . '
How the delays moved.
The day-by-day record this board has published, read against the live window — one metric, stated plainly, with its coverage window attached.
Stale window
Updated 17:24
Snapshot age 11 minutes
84.2%
7-day mean on time
vs 60s rule
86.4%
30-day mean on time
Recorded days
-2.2pp
7-day vs 30-day
Slipping
0.0s
Mean delay, live window
Rolling
Day by day
On time % · last 16 recorded days2026-09-2566.7%
2026-09-2695.5%
2026-09-2799.2%
2026-09-2894.6%
2026-09-2987.9%
2026-09-3093.0%
2026-10-0182.5%
2026-10-0282.5%
2026-10-0391.1%
2026-10-0483.8%
2026-10-0587.4%
2026-10-0684.7%
2026-10-0775.8%
2026-10-0884.9%
2026-10-0985.1%
2026-10-1087.4%
Day-by-day record · not an official statistic.
Live window
Where the delays are right now
On Time (≤60s)1
Minor (1–5m)0
Moderate (5–10m)0
Major (>10m)0
History source
This hub's own daily per-board record (one sample per UTC day, 400-day cap) built from the board's endpoint.
Live source
Data: Korail GTFS-RT via PolishTrainsGTFS community feed (Mikołaj Kuranowski, CC-BY 4.0) — not an official Korail statistic
Averages
7-day and 30-day means appear once two or more days are on record; a single day is never shown as a trend.
Not an official operator statistic. Read alongside the board at ' . esc_html(Hub_Board::board_url($d['card'])) . '