It is a bit tough pill to swallow with a lob sided L for the 1st ladder game this season. At the same time it wasn’t a surprise either.
On my own side – I wasn’t in my good form with 5kg overweight. Today also marked my 1st time playing at the Milton club.
My opponent is today is a solid 5.0 player with an aggressive attacking style. He doesn’t seem to have weakness on forehand, backhand or serve.
It is a discouraging but hopefully it is providing extra motivation to get back to my peak form. I don’t have many years left to improve my skills. Losing games like this against players significant older than me was not what I wanted to play.
2021 is a challenging year for me. I am quite satisfied with the progress I have made with my tennis journey. I believe I became a better tennis player overall with the technology I have been using.
If you have arrived here, I hope you are a tennis fan (not just a speculator) like me, who is curious to learn to adopt modern technology to improve and enjoy the game. Here are the three things I am aiming to help you achieve :
Get a better understanding of how to get the most value out of SwingVision
Learn some new tricks and avoid the pitfall I experienced
If you are interested in tennis, and subscribed to the Pro version of the Swing App, you will be able to export all the data to a clean Excel format. That is really cool, but what can you do about it?
In this blog, I will share my experience of playing and analyzing the raw data for over 30 hrs over the past few months. Hopefully by reading this article, you will have slightly more incentive to make use of the data, after your hard fought game and logging via Apple Watch.
We will cover the following three topics with hands-on examples:
Basic data cleaning and data modeling for the required analysis using Excel build-in feature
How to breakdown the first and second serve performance with speed and distribution
How to breakdown the short, medium and long rally on game points
During the winter of 2018-2019, I was able to take my tennis tracking journey into a new level. By now most of my tennis hitting partners are calling me a “data nerd”, clicking my watch like crazy during the game. But when I show them the stats after the game, they all (seem to be) impressed.
I did the following two new things in particular:
Used the “Point by Point + ” score tracking in the Swing App to track all the points I have played. In total, I tracked 18 matches over the last 4 month, all of them were single matches and played in 1 hour.
Exported the captured data into spreadsheets. By analyzing the data set, I was able to identify some of the limitations, as well as some opportunities to further enhance the analytics experience.