Emma Raducanu given just 0.4 per cent chance of winning women’s singles title with Aryna Sabalenka and Jannik Sinner to triumph again in Melbourne
- Emma Raducanu has been given just a 0.4 per cent chance of winning the women’s singles title at the Australian Open, according to a new Supercomputer
- In the men’s draw, Jack Draper has a 1.1 per cent likelihood of triumph in Melbourne with Jannik Sinner (51.6%) projected to defend his title as is the case with Aryna Sabalenka (23.5%) in the women’s singles
- Novak Djokovic, coached by Andy Murray, is the second-favourite to win what would be his 11th Australian Open title
Emma Raducanu has been given just a 0.4 per cent chance of going all the way in the women’s singles at the Australian Open.
That’s according to a new Supercomputer conducted by data analysts at Prime Casino, with Raducanu facing 26th seed Ekaterina Alexandrova in the first-round in Melbourne.
2021 US Open champion Raducanu has been nursing a back injury which could well have an impact on her chances of any kind of run in the first grand slam of the season.
The Supercomputer projects Aryna Sabalenka to defend her title with a 23.5% chance of triumph, ahead of Iga Swiatek (19.7%) and Coco Gauff (16.8%).
Australian Open Supercomputer via Prime Casino - Women’s Singles
In the men’s draw, British No.1 Jack Draper has also been given slim chances of winning what would be the first major of his career, with a 1.1 per cent likelihood of going all the way.
Like Sabalenka, Jannik Sinner has also been projected to defend his singles title at Melbourne Park at 51.6%. The Italian is the overwhelming front-runner with Novak Djokovic, now coached by Andy Murray, the second-favourite with a 14.1% chance of claiming what would be his 11th Australian Open title.
Australian Open Supercomputer via Prime Casino - Men’s Singles
How does the Supercomputer work?
The Australian Open Supercomputer, conducted by Prime Casino, is a probability model, not determined by human predictions or bias.
What happens is the Supercomputer estimates the results of each round based on every player’s current strength such as experience and recent form as well as betting market odds.
The machine then simulates the remaining games in a season 10,000 times and constructs an average league table from the 10,000 simulations, to rule out anomalous results.
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