Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. For the month of March, we will compare key stats of the pros vs college players. Who makes more return errors – top WTA pros or NCAA-W College players? The answer: Top pros make over 5% more errors on return of serve than college players. Why is this? Are college players better returners?  Obviously not.  We have to look at the other side of the net to find the answer.  Pros serve better, and draw more return errors. Data b ..read more

Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. For the month of March, we will compare key stats of the pros vs college players. Last week we compared serve stats of Pro vs College Men, and saw a noticeable gap in the numbers.  This week we look at the serve numbers on the Women’s side, considering over 178,000 points from 2022 to present (WTA – 99,049, NCAA-W – 79,242). While college women players had a slightly higher 1st Serve % (NCAA-W 65% vs WTA  62%), the results show a c ..read more

Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. For the month of March, we will compare key stats of the pros vs college players. Have you ever wondered what the differences are between pro and college players? We looked at over 388,000 points (ATP – 213,391, NCAA-M – 174,619) from 2022 to 2023 to see what the differences are on strength of serve. While 1st Serve % was very similar, Pros were 5% better than College players on both 1st Serve Points Won (71% vs 66%), and also on Aces (12 ..read more

Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. Do servers double fault more when facing a break point than when they hold a game point?  How about aces on break points vs game points? We looked at 21,140 serve points from last year’s US Open Men division and here are the numbers: Game Points accounted for 20% of all serve points, while Break Points accounted for 9%.   On Game Point, the confidence boost to the server is undeniable.  There are 4.5x as many Aces on Game ..read more

Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. Where are more errors hit?  In the NET or OUT?  Over the years at tennis coach conferences we have been told that 2 of every 3 errors are in the net.  A simple teaching “aid” was to cover the net with a tarp or solid covering.  The theory was that if the player could not see through the net, they were less likely to hit the ball into it. So, we ran the numbers using over 32,800 points  from last year’s US Open (Women ..read more

Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. Aryna Sabalenka’s game plan was consistent throughout the event – Go BIG early!  86% of all of her points ended before each player had touched the ball 3x.  Less than 8% of all points she played went longer than 8 shots. Sabalenka won 56% of all points played. And on Serve, Sabalanka was devastating!  In the past her achilles heel has been the 2nd serve, with many inopportune double faults.  Not at AO!  She served more ..read more

Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. Frenchman Enzo Couacad is a famous guy this week.  He is the only player to take a set off Novak Djokovic at the 2023 Australian Open (in a close tiebreaker).  He then lost 12 of the next 14 games and headed to the airport. After that, Djokovic never lost another set.  He embarrassed the field to reclaim the #1 ATP  ranking and more importantly, equal Rafa’s record of 22 Grand Slams won. And there are s ..read more

Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. At the B14 level, the serve is beginning to develop as a weapon.  And while the aces totals are negligible, the strength of serve has a noticeable impact on the return of serve.  Return errors account for 12% of all errors made.  Overall, errors outnumber winners by 3:1, standard in the top junior levels.  In the 1st 2 shots though (serve and return), errors outnumber winners by 8.5 to 1. Errors, errors, errors.  Even ..read more

Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. The G12 in the world make more than 6x more Errors than Winners in the 1st 4 shots!  1 to 4 rallies account for almost 47% of all rallies in this division.  19% of all errors occur on the 1st 2 shots (double faults and return errors).  From the 5th shot on, Errors to Winners drop to 3:1.As discussed in last week’s article, and in numerous past articles, our sport is a “game of errors”.  Minimizing errors is easier to a ..read more

Every week, Tennis Analytics dives deep into the data, bringing you a stat of the week to help you understand tennis better and become a little smarter. As you would expect, match winners hit more winners AND make fewer errors than their opponents.  The combination of the 2, better known as the differential, is very powerful.  If you hit one more winner than me, and make 1 fewer error, the differential is 2 in your favor.  Errors rule the show though, by 3 times. At the Jr, Orange Bowl B12 division over the last few years, the winners and errors ratios are pretty stable.  ..read more