Complete Your Vehicle Collection: Systematically Chase Every Number

Updated: August 2026 – At some point, it’s no longer enough to have seen “an ICE”. Then the number counts – and the hobby becomes a project: collecting vehicles while spotting means ticking off a complete class number by number. This guide shows you how to build your target list, which three levers close the gaps, and why the last numbers cost so much more effort than the first.

How do you systematically collect every vehicle in a class?

Collecting systematically means: first the target list, then the search strategy, then the documentation. You need a complete list of every number in the class you’ve taken on, a clearly defined operating area, and a record where every sighted number is logged with location and date. Everything else comes down to where the still-missing vehicles are most likely to be.

The second principle matters more than it sounds: vehicles don’t move randomly. They’re assigned to an operating area, run in recurring diagrams, and return regularly to their home depot. Once you know this pattern, you don’t have to wait – you can plan. The guide on real-time live sightings explains how to use current reports for this.

Step one: the target list

Without a target list there’s no progress, only collecting. The list answers three questions: how many vehicles belong to the class, what numbers do they carry, and which of them are actually still in service?

• Define the scope. Just one operator or all of them? Just one federal state or the whole of Germany? A clearly bounded project is achievable, an unlimited one isn’t. For small series like those from Gmeinder Lokomotiven, a complete list is realistic; for a large class, it isn’t.
• Standardise the number format. Pick one notation – the full vehicle number with check digit, say, or the shortened running number – and stick to it. Otherwise every later comparison falls apart.
• Check your sources. Vehicle lists from specialist communities, clubs and databases are good starting points, but never automatically up to date. Reassignments, sales and withdrawals change the fleet constantly.
• Build in status columns. “Seen” isn’t enough. At minimum, useful columns are: seen, photographed, currently in service, known whereabouts.

If you’re still unsure how numbers and category designations relate to each other, you’ll find the basics in the guide on decoding train numbers for ICE, IC, RE and RB.

Step two: understanding where vehicles are

The key insight when collecting: every vehicle has a home and a routine. This table ranks the typical whereabouts by how well they can be planned for.

Whereabouts	Everyday likelihood	How you get there
Regular service on the home line	High – the normal case	Know the diagram, choose a spot on the line
Stabled at the depot	High, but hard to see	Only observe from publicly accessible points
Turnaround or standing time at the station	Medium, often at night and weekends	Use off-peak times at a hub station
Workshop visit	Medium for larger fleets	Not plannable – accept the gap and check again later
Spare or operational reserve	Low, irregular	React to community reports
Special working or rail replacement	Low, but very rewarding	Track dates and react at short notice
Long-term storage	Very low in regular service	Research via storage lists

For the last point, it’s worth checking the guide on stored locomotives and lists on Drehscheibe Online – it documents exactly the vehicles that no longer appear in regular service.

Step three: increase your hit rate

Collecting is a game of probability, and you can influence that probability. Four levers work best:

• Hub stations instead of lineside spots. At a station where several lines carrying the class converge, you’ll see more different numbers in two hours than at a lineside spot in a whole day.
• Use the off-peak hours. Early morning and late evening are when vehicles go into and come out of service. That’s exactly when the vehicles that sit in reserve during the day pass by, too.
• Pay attention to weekend diagrams. Weekends often run different diagrams, shorter formations and different vehicle combinations. Anyone spotting only on weekdays systematically sees just a subset.
• Community reports as an early-warning system. When someone reports a rare number, that’s often your only chance in months. The comparison between forum and app for live sightings shows how to find such reports and contribute your own.

The last numbers: why they’re so hard

Progress in a collection is never even. At the start, almost every vehicle is new; before long, you’re mostly seeing repeats. The reason is simple statistics: the more numbers you already have, the smaller the chance that your next encounter is a new one.

On top of that, the remaining vehicles are systematically the difficult ones. A vehicle you’re still missing after two years is, in all likelihood, not a random casualty but has a structural reason: workshop, reserve, a different operating area, leasing, storage. Beyond a certain point, no amount of extra effort helps any more – only better information does.

Three approaches will move you forward at this stage:

• Targeted research instead of a broad search. Where was the vehicle last reported? Is it even still in service?
• Special workings as an opportunity. Diversions, rail replacement services and special trains bring vehicles to unusual places. Heritage railways like the Bregenzerwaldbahn run vehicles on operating days that otherwise sit in the shed. The guide on finding special trains and special workings explains how to find such dates.
• Special liveries as a special case. Advertising vehicles are often easier to identify because they stand out and get reported more often – the guide to advertising locomotives shows how thoroughly such vehicles are documented.

Are you ready for a collection project?

Documentation: the real craft

Collecting without clean recording is just tending to memories. Only consistent documentation turns it into a dataset you can actually work with. Four principles matter most here:

• One record per sighting, not per vehicle. If you see the same vehicle a second time, that’s a new record – this is how movement profiles emerge, from which you can deduce diagrams.
• Timestamp as precisely as possible. A time to the minute makes the difference between “sometime that day” and a clear match to a specific working. The guide on using EXIF data for spotting explains how to reconstruct this from photos.
• A proof photo where possible. A picture allows for a later correction if you misread a digit.
• Consistency before perfection. Better every sighting with four solid fields than every other one with twelve. The overview of the trainspotter app shows which tools support this.

If you want to make collecting more playful as well, the trainspotter game guide has ideas for using points, goals and badges as a motivation structure.

Common mistakes when collecting

• Starting without a target list. You only notice after months that you’re missing ten vehicles you never had on your radar.
• Mixing number formats. Sometimes with a check digit, sometimes without, sometimes with an operator prefix – the later comparison turns into tedious donkey work.
• Spotting at only one location. Anyone who always visits the same spot always sees the same diagrams. A second location on the same line often brings more than double the time spent at the first.
• Adding entries from memory. You will reliably mix up digits after just a few hours. Log immediately or photograph the number legibly.
• Confusing storage with withdrawal. A vehicle can sit for months and then reappear in regular service – or never. This distinction decides whether waiting is worthwhile.
• Setting the goal too big. A nationwide class with a three-digit fleet size is a lifelong project. If you want a sense of achievement, start with a regional fleet – the overview of trainspotting as a hobby explains which projects are realistic.

Conclusion

Completing a vehicle collection is less a matter of stamina than of structure. The target list tells you what’s missing. Home area and diagram knowledge tell you where to look. Community sightings tell you when a short-notice trip is worthwhile. And consistent documentation ensures you can draw the same conclusions from your own data as from anyone else’s. The last numbers still stay hard, though – and that’s exactly the part that makes it appealing.