Posts

Welcome back to the Data in Sport series. This week we are going to look at data management best practices. If you missed the first post, you can find it here.

Data in sport isn’t a new thing, but the volume of data is increasing and coming from multiple sources. All these sources use their preferred data format and supply that data through manual exports or API connections.

Hi all, Have you been wanting to use the R Visual in Power Bi? In this week’s Power Bi For Sport tutorial, I will show you how to use the visual to create a simple bar chart in Power Bi.

Hi all, Have you ever wondered if you can dynamically select a value to appear in your DAX measures? Can I change my graph from showing total distance to high-speed running distance?

Hi all, Have you wanted to report data to your athletes but not sure how? One option to create some competition between your athletes is using a leaderboard to display data from a given training session or test.

Have you been trying to create a similar experience to Excel, where you can change a dropdown value to view different metrics? Using this DAX you can do just that!

In part 6 of our match report series, find out how to dig a little deeper in to your data with a simple shooting analysis of the match.

Hi everyone, in this weeks R For Sport post we are looking at how to calculate rolling averages using different packages that have been developed specifically for R.

Do you still use monotony and strain to monitor your athletes for overtraining? Well in this weeks #PowerBiForSportScience tutorial I will show you how to calculate monotony and strain to power up your monitoring reports.

Are you using the Uncoupled Acute Chronic Workload ratio but unsure how to add this to your Power Bi report? Well look no further, find out how to do it in this Power Bi For Sport Science tutorial!