About Spindata

Spindata is a system for ranking time trial results across the UK by using time and relative position to others.

Spindata is not just for the top riders!

In fact, Spindata has been developed to recognise the achievements of all riders, whatever their ability. There are many ways to get more from your time trialling with Spindata...

How it works

Every Wednesday evening Spindata picks up the start sheets for forthcoming events from the CTT website and predicts the results for riders who have a previous result scored on Spindata.

Results are processed on the Wednesday after they are published on the CTT website:

  • A score is given to each result based on the time recorded relative to the results of other ranked riders. The better the ride, the fewer points a rider gets.
  • The rankings are updated taking into account new results.
  • The category for each rider is re-evaluated based on the new rankings.

Getting Started

Every rider who completes an open time trial in which at least 10 ranked riders also finish will receive a score for their ride.

If this is your first result then this score will be used as your overall ranking score and compared to everyone else with a current ranking to determine your category and predict your time for your next race.

Spindata categories

Spindata groups riders into categories based on their ranking, with A being for the fastest riders and E for the slowest.

Each category A to E is further broken down into sub-categories numbered 1-20, thereby giving a total of 100 subcategories from A1 for the very few fastest riders to E20 for the slowest.

Categories can be used by race organisers to provide a set of prizes where everyone has a chance to race for a prize rather than just the fastest few in the race. But if they don't, then Spindata will still list the fastest three riders in each category A-E in the list of awards for each race - well done if you win an award for your category.

Already raced?

If you have already completed an open event and have a provisional ranking then there are lots of ways to use Spindata to make your time trialling more rewarding.

Set a Spindata PB

Scores are directly comparable between all events, and regardless of the weather conditions, so there is no need to ride a fast course on a fast night to set your Spindata PB.

Beat your predicted time

Prove us wrong and go faster than we predict you will in your next race! We try to predict results for all events held on courses which have a previous scored event.

Move up a category

With 20 subcategories within each Spindata category, moving up a subcategory is an achievable target for everyone except the very few A1 riders!

Win an award

Spindata recognizes achievements by riders throughout the field in each event, including Spindata categories, veteran age categories and biggest improvement against Spindata predicted time.

Choose your competition

Filter the ranking list by your district or club and see how you rate against riders you know, and/or filter by age category so you are only compared to riders your own age!

Be on Fire!

Keep beating your Spindata predictions to get a flame next to your name, or even two flames if you are really on fire!

What riders are saying

Spindata is incredibly welcome in providing both a performance benchmark and an incentive. It gives a really good indicator of how you've performed in an event relative to the field, whatever the conditions: you can look at a disappointing time but then see that you've done relatively well.

The ranking and categories are a genuine incentive. I'm bizarrely pround of being a "B cat" in my mid-60s, and am prepared to fight to keep that.

Knowing who is ranked around you and is expected to place around the same part of the field is also motivating. It has helped me meet new people and put names to faces, which makes TTs a more rewarding experience.

As someone who loves looking at numbers, be it my mediocre power data or scrutinising result sheets looking to see how I think I could have done in an event I didn’t even ride, I really took to Spindata.

I started riding open TTs regularly in 2019. My target in that first race was to ride under 25 minutes and not to get caught for 7 minutes by the scratch rider – this should give you an idea of my ability levels at the time. When I discovered Spindata I immediately saw it as something that I could use to monitor and track my progress. Being able to confirm that I had ridden a good ride (or indeed a bad one) was really useful, and the motivation of moving up the rankings was great.

I started off as a D4 and am now at a C1 – my target being to get into the B group. Back in September 2020 I felt disheartened not riding a PB on the same fast course on which I rode my PB the year before, despite doing what I felt was a much better ride. Being able to assess my ride against my peers and realise that I had performed far better than the year previously when I rode my PB was a big motivator. It really helps to drum home that your finishing position is a much better indication of how well you rode than getting a PB because the weather was favourable.

Frequently Asked Questions

Spindata is very complex under the covers and the information above provides only a very high level overview of how Spindata works.

Different people will want to know different levels of detail about how it works, and we want the Spindata rankings to be as transparent as possible.

If you want to know more then please check out our FAQs which give much more detail.

And finally...

The concept and the processing that produce the rankings are the work of Nick Wild, and the website is developed by Roger Clarke, both members of Tyneside Vagabonds Cycling Club.

We are open to collaborating with others, and we have an API available for use. Please get in touch via our contact form.