# The math behind basketball’s wildest moves

At the moment I’m taking the Math in sports course at edX/University of Notre Dame and since you tend to see the things you focus on, math related sports or sports related math, seems to be everywhere right now.
The other day I stumbled across this fascinating video from TED: The math behind basketball’s wildest moves, where Rajiv Maheswaran talks about analysing movement. Wow! I try to extrapolate into the future and imagine where this kind of technology will take us in, say rugby in a couple of years and it’s… well, fascinating! And a bit scary too.
Have a look and see for yourself. Where do you think this technology will take us and our sports?

# Simple frequency form

One of the simplest methods of gathering data is counting the number of times a certain event occurs and writing it down on a piece of paper. That’s really all there is to it. But to give that data a bit more meaning you might want to add a quality aspect to it as well, for instance if you’re counting scrums won you might want to set up a table like this:

```                 Team A       Team B
Won cleanly
Under pressure
Lost

```

where Team A and Team B are representing the team that puts the ball into the scrum. Then you can just count how many scrums there where during the match, how many your team won cleanly, won under pressure or lost. You also get how many times you were able to put pressure on the opponents, even if they won the scrum in the end. With this data you can quickly evaluate scrum efficiency on a basic level and talk to coaches about why the numbers look they way they do. It really doesn’t get any simpler than this, does it?