Sneak peak at some basic analysis

Now to the details — We all want to be better athletes, right? Increase work capacity, increased power, increased strength? What do we need to understand/analyze in order to take the first step to making that goal a reality?

• Understand your current ability

• Identify trends over time

• Formulate and test hypotheses

• Find meaning in your data — identify causality for both improved and diminished performance

Understanding current ability 

No two workouts are the same, so how do we compare them? We have devised a way to break each CrossFit movement down into the same basic metrics to allow for this comparison. Here is an example:

We took a month’s worth of Dan’s workouts and put them through our analytical machine. Below is the result. It pulled out the AMRAP and timed workouts to create this. The results from strength training sessions will be discussed in a later post.

X-axis is time and Y-axis is work done. Each black dot denotes a single training event. As you can see Dan has done a bunch of workouts that have lasted 0-20 min. Makes sense — most CrossFit workouts are in that range.The blue line is basically an estimate of Dan’s average work capacity at a given point in time. The shaded blue area on each side of the line is a 90% confidence interval. In simple terms, if Dan does another workout, the work done should fall into this blue area.

If it doesnt, like the 3 highlighted training events that fall above the blue area, we know something is off. We can then proceed to identify the cause of those aberrations. Are they due to the movements involved in those workouts? Or are they because of Dan’s nutrition on those days? Is it because Dan was fatigued from previous days training (or conversely, did he take the previous day off)? Answers to those questions will allow us to identify factors contributing to altered performance. Of course, this doesn’t pinpoint the causal factor, but is the first step in that direction. Future posts will describe additional analyses performed by our application in determining the drivers of your performance.

Post any and all questions to the comments and Dan or I will do our best to answer them.

Be a part of our team!

It’s likely that if you are reading this, it is because you have signed up to be part of our alpha test. If you know me, you know that I am somewhat of a stickler for details and hate making a bad impression.

That said, we (RxAnalytics) wanted to get our tool into your hands and let you guys play with it. We want you to drive it like you stole it and try to break it; and when it breaks — tell us about it. We want you, the chosen few, to be a part of our team and help us build a great performance-analytics product.