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Why “Points Won on First Serve” is a Worthless Stat, Especially for Junior Players “Points won on 1st serve” is supposed to be a measure of 1st serve effectiveness. It’s not officially labeled that way, but that is precisely what it’s supposed to represent. The more points you win when your first serve goes in, … Read more
Tennis is a Game of Errors? Not if you want to improve In tennis, if you add forced errors and unforced errors together, you can justify the statement “tennis is a game of errors”. The problem is it’s a really lazy way of reporting what happens in a tennis match. Consider these definitions: Unforced error … Read more
135 IN PARTNERSHIP TO DEVELOP AI THAT WILL REVOLUTIONIZE TENNIS ANALYTICS The 135 Framework of tennis analytics is already leading the world in how to measure, benchmark and improve players over time, not to mention scout opponents using 135 profiling. It’s part of the reason Tennis Canada chose to work with 135, implementing technology and … Read more
135 TENNIS ANALYTICS WORKING WITH TENNIS CANADA We are incredibly excited to be working with Tennis Canada starting in March, 2023. Our education programs, systems and software will be implemented with TC’s “top prospect” players initially, then filter through the TC ecosystem over time. Please see the article below on The First Serve website and … Read more
The pros have moved on to the US hard court season and we had a classic example of why being able to see analytics at any stage of a match can be so important. Thanasi Kokkinakis played Fernando Verdasco in the first round in Los Carbos
Part 2 of our junior analytics from Tarbes, 2022 is the Boys final. Both boys are 13 years old. Again, we’ll start with a quick look at the broad match numbers
We’ve run the analytics on the final of Tarbes, a big junior tournament in France, to have a look at the 135 numbers of the match, and one player in particular.
There’s a lot of talk about how much of tennis is short rallies. So, what importance do we put on practicing long rally patterns? Lots, and here are two reasons why.
If players want to improve, they have to know about their errors. Tennis has always made this process very confusing by only reporting unforced errors, rather than the difference between
In Part 1 of June workshops, we look at the way tennis analytics are displayed on TV and started to discuss how we need to measure improvement by recording the difference between a forced and an unforced error.