(which would have expelled them from the Hall of Fame had it been allowed to stand); they were reinstated two years later. Only Rose has yet to be reinstated. A 1906 betting scandal between the Massillon Tigers and Canton Bulldogs, two of the top teams in professional American football in the early 1900s, led to the demise of "big-money" professional football for several years. Modern research has suggested that the claims of betting were unsubstantiated. On December 7, 1980, the San Francisco 49ers overcame a halftime deficit of 28 points in what became the greatest regular season comeback victory in NFL regular season history. By the beginning of the third quarter, notorious Vegas bookmaker Frank Rosenthal received forfeiture notices from 246 San Francisco bettors totaling more than $25,000 in premature winnings. Rosenthal was able to retain these winnings despite the final outcome of the game due to gambling regulations previously established by the NAGRA. The Cronje Affair was an India-South Africa Cricket match fixing scandal that went public in 2000. It began in 1996 when the-then captain of the South African national cricket team, Hansie Cronje, was convinced by Mukesh "John" Gupta, an Indian bookmaker, to throw a match during a Test in Kanpur, India. The scheme was discovered when Delhi police recorded illegal dealings between Indian bookmaker Sanjay Chawla and Cronje. According to the Telegraph in 2010, Cronje was paid off a total of £65,000 from Gupta. Corruption in tennis has been long considered as issue. In 2011, the former world No. 55 Austrian tennis player, Daniel Koellerer, became the first tennis player to be banned for life for attempting to fix matches. The violations were outstanding between October 2009 and July 2010 after The Tennis Integrity Units had launched an investigation on behalf of the International Tennis Federation and the ATP and WTA tours. In 2004 and 2006, Koellerer was banned for six months due to his bad behavior. In addition, in August 2010, he facilitated betting by placing odds for matches and had links for placing bets. Machine learning in sports betting Machine learning models can make predictions in real time based on data from numerous disparate sources, such as player performance, weather, fan sentiment, etc. Some models have shown accuracy slightly higher than domain experts. These models require a large amount of data that is comparable and well organized prior to analysis, which makes them particularly