CategoriesThis article explains RaceSplitter's support for categories in the timing of events.
Track one category in the app
The RaceSplitter app supports a single field called “Group” that can be used to segment participants and filter on results. For example, you could use this field to filter on “categories” such as:
Track two categories at the website
The RaceSplitter.com website supports two user-defined fields called “Group” and “Team” that can be used to track any two arbitrary dimensions of a race. (And further down in this article, we’ll explain how these two fields can be used to track any number of categories!)
Although Team data isn’t sent from the website to the app (since the app can only filter on Group), the data is preserved in the original race at RaceSplitter.com, and can be used for sorting and filtering on results published from the race.
Renaming the Group and Team labels
Group and Team fields can be renamed at the website.
For example, many organizers who time multiple races in parallel will rename these to “Category” and “Race”.
How to track any number of categories
Using the results filtering capabilities of the RaceSplitter.com website, any number of dimensions can be tracked.
Let’s look at this by example. In the 2015 Sierra Blanca trail race, the organizer wanted to track:
- Gender: Male & Female
- Category: Absolute, Master, Veterans & Promesa (Kids)
- Race: 29km and 42km
To track these three dimensions using only two available fields, they combined the first two in the definition of the “Group” field (which they renamed to “Categoria”). Here’s how they defined their “Groups”
- Absoluto-F → Absolute category, female gender
And here’s how they defined the values for the “Team” field (which they renamed to “Carrera”, which means “Race”):
- Carrera 29km
- Carrera 42km
Once results from this race were published to RaceSplitter.com, the online filtering capabilities were used to browse and print the results of all the different categories and races. For example, in this video you can see how they filtered on “overall” females—i.e. all females across all categories—in the 29km race:
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