Tennis is a finicky sport to predict. There are mountains of analytics to rely on; forehand spin rate, first-serve percentage, net point advantages, and plenty of others. But actually applying this data to predict the results of Grand Slam tournaments is difficult for both the men’s and women’s draw. Women play best-of-three matches, and so there is a tremendous amount of variance in any one single match, given the relatively small number of games played. Men play best-of-five (which is still plenty unpredictable), but only in majors, so most of their match data is from best-of-three matches. History has shown us that’s a totally different skill set.
However, we
→ Continue reading at SB Nation