Stats On the T

As the tour prepares for Monte Carlo, Rafael Nadal finds himself at the top of the clay-adjusted Elo ratings for the first time since 2014.

As the tours head into the clay court season, who should be buoyed the most by their mental toughness during Indian Wells and Miami?

In this guest blog, Martin Ingram analyses the dramatic trends in the backhand of La Torre de Tandil using Gaussian processes.

Sloane Stephens had to get past 3 former No. 1s and 4 Grand Slam winners to take the Miami Open title this weekend. Is everyone’s path to a Premier final getting tougher?

The Next Gen have been center stage throughout the Sunshine Masters this year. How can we size up the success of the young guns? And what does their success mean for the rest of the 2018 season?

After a near perfect first quarter of the season, Roger Federer enters the Miami Masters with a 50-50 chance of winning the title, thanks in part to the luck of the draw. Who are the other biggest male and female contenders for the Key Biscayne title?

While Roger Federer earned his 17th straight win of 2018, tennis data science was taking a center stage at Cape Town’s satRday conference.

One of the more interesting ATP results this February was 20-year-old Francis Tiafoe’s title win at Delray Beach. What should we expect from Tiafoe after his first tour-level trophy at such a young age?

This week the MIT Sloan Analytics Conference will showcase some of the cutting-edge research happening in sports statistics. What do the themes from this year suggest about the state-of-the-art in quantitative work in sport?

As Roger Federer was crowned with his 20th Grand Slam title at the 2018 Australian Open, the winners of the first AO to AI Hackathon competition were being decided. In this post, I take a look at the winning models and discuss what they mean for the future of calling point outcomes in tennis.