G’day,
I greatly enjoyed spending two weeks at Wimbledon this year working with players, writing analysis stories, and learning more about our great game. I was particularly interested in the boys’ and girls’ junior events. Jordan Lee triumphed in the boys’ event while Anna Pushkareva won the girls’ title. Players to look for in the future.
One thing that caught my attention was the overall point difference between match winners and losers across the men’s, women’s, and junior draws. I used my new AI Data Dashboard to figure out the answer. To be clear, this is an analysis of total points won by players who won their match versus total points won by players who lost their match.
In essence, what is the difference between winning and losing? Here’s the answer.
MEN’S DRAW
- Match Winners = 53.6% points won
- Match Losers = 46.4% points won
WOMEN’S DRAW
- Match Winners = 54.6% points won
- Match Losers = 45.4% points won
JUNIOR BOYS
- Match Winners = 54.7% points won
- Match Losers = 45.3% points won
JUNIOR GIRLS
- Match Winners = 55.5% points won
- Match Losers = 44.5% points won
Match winners are taking an initial 50-50 battle and are typically only moving the dial to a 55-45 advantage (at best). This is what we battle over. Tennis is a game of small margins played over vast distances.
It’s a battle of 10%.
You can now look at matches a little bit differently. Imagine two players walking onto the court to play a match. We basically know that both of them – whether they play well or badly – are probably going to win 45% of the total points regardless. The real battle in tennis is over the still available 10%.
My new AI Data Dashboard not only figures this number out for all matches, but then helps you identify where the advantage came from, and also what you need to do to close the gap if you lost. The future of tennis data is in stories like this that help you identify where and why you win or lose – and exactly where that gap is occurring.
Click the link below to learn more about the new AI Tennis Data Dashboard.
