EXCLUSIVE: Serena Williams Would Beat 9 of the Top 10 Male Tennis Players Today
BLOOMINGTON, Ill., March 8, 2019 /PRNewswire-PRWeb/ -- If Serena Williams, currently the #10 player in women's professional tennis worldwide, played a competitive match against each of the top 10 seeds of the 2019 Indian Wells tennis tournament today, she would win them all save for one. Kei Nishikori, the #6 seed at Indian Wells and #7 in the world, would theoretically beat her - but it would be a very close match.
According to Big Data Tennis, the platform of the most accurate predictive modeling in tennis, Williams would beat #1 seed Novak Djokovic (Serbia), #2, Rafael Nadal (Spain), #3, Alexander "Sasha" Zverev (Germany), #4 Roger Federer (Switzerland), #5 Kevin Anderson (South Africa), #7 Dominic Thiem (Austria), #8 John Isner (USA), #9 Stefanos Tsitsipas (Greece), and #10 Marin ?ili? (Croatia).
"The numbers don't lie," said Matthew Newell, owner of Big Data Tennis. "Set aside everything you think you know about tennis. If Serena, one of the greatest tennis players and athletes of all time, played any of the top 10 male players today, she would beat them all except Kei. Some by a little, most quite easily."
"And we have the receipts," Newell added.
The head-to-head match data information between Williams and Nishikori highlights that her specific style of offense would have trouble against his considerable defense skills.
Here are the confidence levels of a Williams win if she played the male top 10 Indian Wells seeds today:
Thiem - 53.65% confidence of a Williams win
Federer - 62.51%
Isner - 62.51%
?ili? - 73.09%
Djokovic - 73.72%
A. Zverev - 77.33%
Nadal - 79.81%
Tsitsipas - 86.66%
Anderson - 89.66%
Nishikori's victory over Williams has only a 50.66% confidence level, which is an extremely tight margin.
Big Data Tennis' proprietary predictive modeling, launched in June 2018, delivers an 80% or higher accuracy rate over 600,000 tennis matches. Tennis fans and fantasy tennis players can input any head-to-head match into the model for free anytime at bigdatatennis.com.
CONTACT
Matthew Newell, 309-846-1336, matthew@bigdatatennis.com
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KEYWORDS
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SOURCE Big Data
