Forget the controversy. The stats tell the story of Saturday's US Open Women's final between Naomi Osaka and Serena Williams.
It's pretty unusual for Serena to be outdone on serving stats, but she was, and by quite a margin. The stats below illustrate pretty clearly that Serena's first serve percentage was too low. It got better in the ...
In an effort to demonstrate the value of stats, even at the pro level, I recorded the Cincinnati final on Sunday using GT Stats. Not that the stats will tell Roger Federer anything he doesn't already know! The stats do reveal what RF is probably working hard on in the lead-up to the US Open next week.
Part of the value in doing this exercise is to point ...
GT STATS is committed to updating its content on a monthly basis. Content covers new graphs and stats plus minor updates to the app.
We also have some big plans for GT STATS functionality over the next couple of months. Remote Mode and Stats Selector are two of the big additions.
Remote Mode Functionality
Possibly the most exciting, and largest, ...
So you’ve loaded the players in a match plus a few match details like where you are and the scoring format that’s going to be used for the match you’re going to record.
Now to record the stats of the match. The first thing to remember is that every point in tennis ends with a Winner, a Forced Error or an Unforced Error. For more information on ...
There are a lot of parents at tennis tournaments and comps every weekend watching their juniors. One of the common comments is “he/she is just making too many unforced errors”. While that might be true, how many is too many and how should an error count relate to the winner/forced error count?
This is where a ratio of winners/forced errors to ...