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- Grub (Oberpf)
Grub (Oberpf)
Measured long-distance and regional arrivals at this station.
- On time
- 92 %
- 3,646 Observations
- Median delay
- 0 min
- 3,646 Observations
- 90. Perzentil
- 4 min
- 3,646 Observations
- Ausfallquote
- 8 %
- 3,967 Observations
January 2026 to August 2026 · 3,646 observed arrivals · on time means less than 6 minutes late.
Die jüngsten 30 Tage
Daily figures as a table
| Date | On time | Median | Cancelled | n |
|---|---|---|---|---|
| 94 % | 1 min | 0 % | 17 | |
| 100 % | 0 min | 0 % | 16 | |
| 100 % | 0 min | 0 % | 16 | |
| 93 % | 0 min | 0 % | 14 | |
| 93 % | 0 min | 0 % | 14 | |
| 88 % | 0 min | 0 % | 17 | |
| 100 % | 0 min | 0 % | 17 | |
| 89 % | 0 min | 47 % | 9 | |
| 94 % | 0 min | 0 % | 16 | |
| 94 % | 0 min | 0 % | 16 | |
| 82 % | 0 min | 0 % | 17 | |
| 88 % | 0 min | 0 % | 17 | |
| 94 % | 0 min | 0 % | 17 | |
| 100 % | 0 min | 0 % | 17 | |
| 71 % | 2 min | 0 % | 17 | |
| 81 % | 0 min | 0 % | 16 | |
| 91 % | 0 min | 31 % | 11 | |
| 94 % | 0 min | 0 % | 17 | |
| 93 % | 0 min | 12 % | 15 | |
| 88 % | 0 min | 0 % | 17 | |
| 88 % | 0 min | 0 % | 17 | |
| 82 % | 0 min | 0 % | 17 | |
| 92 % | 0 min | 25 % | 12 | |
| 81 % | 0 min | 0 % | 16 | |
| 100 % | 1 min | 0 % | 17 | |
| 87 % | 1 min | 12 % | 15 | |
| 94 % | 0 min | 0 % | 17 | |
| 88 % | 0 min | 0 % | 17 | |
| 88 % | 2 min | 53 % | 8 | |
| 81 % | 1 min | 0 % | 16 |
Frequently observed trains
- OPB 7983683 %n = 223
- OPB 79839100 %n = 222
- OPB 79835100 %n = 220
- OPB 79841100 %n = 220
- OPB 7984473 %n = 220
- OPB 7984685 %n = 220
- OPB 7983284 %n = 219
- OPB 7983482 %n = 219
- OPB 79837100 %n = 219
- OPB 79845100 %n = 219
- OPB 79843100 %n = 216
- OPB 7984281 %n = 215
- OPB 7984097 %n = 149
- OPB 7982799 %n = 146
- OPB 7982699 %n = 145
- OPB 7983193 %n = 144
Showing the 16 most frequently observed of 21 train numbers.
What the station value means
The value describes arrivals at this stop. It does not say whether the same train was on time at an earlier station or how a transfer will work on the travel day.
Source: Deutsche Bahn, Timetables API, via piebro/deutsche-bahn-data, CC BY 4.0. The values describe past arrivals. How they are calculated

