by Alex Duff, Bloomberg
For someone who says he bets millions of dollars on tennis a year, sports gambler Elihu Feustel doesn’t watch many matches.
“Which one is Granollers?” Feustel says, referring to Marcel Granollers, a Spaniard ranked 35th in the world. “Is he the one that’s good on clay courts?”
Feustel, from South Bend, Indiana, says he doesn’t need to pay attention to who the players on the men’s ATP World Tour are to double his money. He relies on an algorithm he created using data from 260,000 matches to make about 30 bets a day on Grand Slams such as the Australian Open, which started Jan. 13.
Gamblers and investment funds are increasingly vying for profits from tennis by using computer models to win money from more casual bettors, according to Scott Ferguson, a former Betfair Group Plc education officer. Such quantitative analysts, or so-called quants, are focusing on tennis in the same way their counterparts are employed by hedge funds to predict moves for stocks, bonds and other assets.
Betfair, a London-based company that enables bettors to wager against each other online, matched almost 50 million pounds ($82 million) of bets on the 2012 final in which Novak Djokovic beat Rafael Nadal. Djokovic is an 8-11 favorite to win a fourth straight title in Melbourne with U.K. bookmaker William Hill Plc, meaning a successful $11 wager would return $8 plus the original stake.
Granollers prefers clay courts, according to his men’s tour profile, and lost his first-round match with Marin Cilic of Croatia in five sets on the second day of play on the hard courts of this year’s Australian Open.
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