How many days have you gone a certain distance when running, cycling, etc? This page shows you your aggregate distance counts, which means that we include longer-distance counts in each shorter-distance count. For example, a 3-mile day will also also count as a 2-mile and a 1-mile day.

What this means is that we can compare our totals with the Eddington Number target; please have a read of Calculate your Eddington Number to find out more about that!

Your Eddington Number is the point on the chart where the two lines cross. For more detail, head over to My Strava Eddington Number.

by **Brian Ward**
on 24 February 2019 Reply

Seems like the Y-axis label should start at 1, not 0?

by **John Swindells**
on 26 February 2019 Reply

Sorry Brian, I don't follow. The starting point for the chart is supposed to be (0,0) isn't it?

by **Brian Ward**
on 26 February 2019 Reply

Take a look at the datapoints at the bottom (mouse over them), and compare to the y-axis label. In my case, I have a longest ride at 127 miles, the only one of those, so the count of days at 127 miles is 1. That datapoint is all the way in the lower right corner, but the y-axis is labeled for zero days along the bottom. It's similar to the Eddington target; in the lower left corner, the point is for 1 day at 1 mile (mouseover to see), but the label there implies (0,0).

by **Sean**
on 29 September 2019 Reply

The datapoint for (n,1) is slightly above the distance axis, not directly on it.

by **Joaquim**
on 12 July 2017 Reply

Hi

why the y scale is not in log as is in imperial?

Nice work.

by **John Swindells**
on 13 July 2017 Reply

Thanks Joaquim. Whether you get a log or linear scale depends on the range of values and where the two lines cross each other.

by **Reuben**
on 05 June 2017 Reply

Any chance you could make each dot able to be clicked on or hovered over to get highlighted and show the exact count and distance it corresponds to?

by **John Swindells**
on 08 June 2017 Reply

I finally managed to locate the problem! You've got your numbers now Reuben :)

by **Daniel**
on 07 November 2016 Reply

I really like these kind of statistics. Very nice! But, can you explain my score of 63 on imperial distance and 91 on metric? 63 miles is about 85 km. So, on 63 days I cycled at least 85 km. But metric graph tells me on 91 days I cycled at least 91 km. In what way is it possible to score a larger distance on more days??

by **Daniel**
on 07 November 2016 Reply

I realize now have made a mistake in calculating from miles to kilometers. I multiplied by 1.36 (the number used from kW to BHP) instead of 1.609 (from miles to kilometers).

So, the scores are correct actually. Sorry for any confusion :)

by **John Swindells**
on 07 November 2016 Reply

Ah, that's good! I hadn't checked your numbers, but was pondering (unsuccessfully) how your initial observation could be possible.

by **Phoebe**
on 17 May 2016 Reply

This is a really neat graph that I've enjoyed looking at. Thanks!

by **John Swindells**
on 17 May 2016 Reply

Glad you like it! I've been pondering about adding historical lines to the plot, showing where you got to at the end of each year for example.

by **stone**
on 01 March 2016 Reply

might want to reliable the vertical axis to be more intuitive like "Count of Days at Distance"

by **John Swindells**
on 01 March 2016 Reply

I like it, thanks for the suggestion!

by **Lucas**
on 04 February 2016 Reply

This graph is really neat.

My graph is dominated by my commute. I wish I could set the axis so I could better see the more interesting tail.

by **John Swindells**
on 05 February 2016 Reply

Ok, I've change it to a logarithmic plot. Looks much clearer for me. How does it look for you?

by **Lucas**
on 05 February 2016 Reply

That's a nice improvement, at least for my dataset. The only downside is the downside to all log plots -- it takes a little extra thought to remember how to interpret the shape of the line, etc.

You might want to update the sample image, though. Or have a toggle (like the metric vs imperial).

Thanks!

by **John Swindells**
on 04 February 2016 Reply

Glad you like it, Lucas! I've been thinking about how to boost the bottom of the chart, and a log scale is the only thing that springs to mind. What do you think?

by **MTB Tim**
on 11 January 2016 Reply

Oh MAN do I love a good graph! This is awesome...

(And thanks for opening Pandora's Box, by the way.)

by **John**
on 11 January 2016 Reply

This is a really helpful representation for me and gives a real visual sense of how you need to do more of just the longer rides to improve the Eddington score, and how rides a lot longer than the current cross over point will be helpful for far longer. This representation helps explain what is otherwise a fairly cryptic number. Thank you.

by **John Swindells**
on 11 January 2016 Reply

I'm glad that this visual reference has helped you, John!