How to Analyze Your Data on An Example
- January
Posted By : sander
How to Analyze Your Data on An Example

Here is a cross-post from my training blog. I am posting it here to show some of the stuff you can do with your erg data on

I have taken it easy last week, even though it was supposed to be a hard week. Too much sniffing and sneezing going on to do any hard workouts.

So, today was the first real hard workout in ages. I chose to do the CTC. It is somewhere in between the shorter stuff I have been doing before Christmas and the “long intervals” that I am supposed to do in this mesocycle of my training plan.

Row 4 times 4 minutes with 4 minutes rest between reps

Use the same damper setting for all reps.

Record your distance for the sixteen minutes of rowing.
Don’t include any resting metres.

The first 4 minutes must be a standing start. All others can be standing or rolling starts.

In the 2k warming up I did a few 10 stroke sprints at slightly faster paces than I normally do them. Then I set up the 4x4min.

I was warned that it would be a tough workout, so I set myself a target to row 28spm and higher, a “light” stroke and watch stroke length and technique.

Every interval was the almost same, except that they got slightly harder each time. The first minute flew by and I would have thoughts of doing a fast interval at 1:46. The second minute was slightly harder. The third minute was endless and I was struggling to keep 1:48. The light at the end of the tunnel got me through the fourth minute.

Today, the graphs from are very interesting. First, the summary plot:

and the summary:

Workout Summary - media/20170110-195135-sled_2017-01-10T19-42-09ZGMT+1.strokes.csv
Workout Details

And here are the interesting plots. Click on a plot to see a bigger version:

There is a lot of things going on here (at least in my perception).

  1. I am clearly trading stroke length for stroke rate. I should focus on staying long when I get tired.
  2. In the beginning of the row, I was focusing on technique, especially on a couple of the weak points that I discovered in the video analysis. This leads to a slightly higher Average to Peak force ratio. In the second half of each 4 minute interval, and more so in the 3rd and fourth intervals, I just focus on surviving and my technique flaws come back. The ratio drops.

I was wondering if this is due to the peak force or the average force. Guess what? There is a chart for that:

After a few months of spending some of my free time on, I have something that is really useful, at least for myself. I use painsled to record the data. I get them onto I have set of “favorite” charts defined that I browse through. Rest paddling is automatically filtered out, and the result is a set of data that give me a quick overview of what I did, and some observations that are hard to get without a coach sitting next to and observing you.

The temperature in my rowing basement was +1.5C. Outside temperature -8C.

I hope this post will inspire you to become a rowing data geek. There is more value in the data than just having fun playing around with it.

On this  site, we will publish posts to get you up to speed. Here is a useful article to get you started:

And another one listing the various tools you need:

We’ll add articles guiding you through the process on the erg, and we’ll add articles describing what you can do on the water as well!