GoPaisa Premier League Offers Legal Betting this IPL

NEW DELHI, INDIA: Indian startup GoPaisa has launched its very own GoPaisa Premier League this IPL, a cash-free e-betting platform for users to earn shopping points by predicting IPL toss, match and tournament winners. On winning, users can redeem their GPL points against a wide range of products.

GoPaisa has developed an algorithm which is based on Big data analytics. Speaking on the role of Big data analytics Aman Jain, Co-Founder at GoPaisa NetVentures Pvt Ltd said, “For GPL, we constantly get updates on the number of people betting, new users, winning probabilities, and repeat betters. We conclude information and interesting patterns that help us in defining our next strategies for accepting and processing the bets placed by users. Hence, BigData analytics is the backbone of this new feature that we have come up with for this IPL season.”

GPL allows users to bet for TOSS KA BOSS, on the team winning the toss before the start of every IPL; the match betting category, on the day’s winning team and the GPL CUP betting category, the team that has the potential to become the IPL Champion of 2016. Betting shuts half an hour before the start of the match. Correct predictions will win points in multiples of the rate of their team that was at stake. For example, you have betted 100 points on Delhi rated at 14.0 at the time of your entry into the GPL. If Delhi wins the final match, you will get 1400 points (14.0x100). Winners can effortlessly redeem their points by clicking on the ‘GPL Redeem Window' and pick prizes against the points earned.

Speaking on the technical challenge faced while launching GPL Ankita Jain, Co-Founder at GoPaisa NetVentures Pvt Ltd said, “The biggest challenge while creating GPL was setting the calculation behind each team. While the tournament progresses, the rates continuously fluctuate and this is based on the team’s performance in the match. These points should be credited to the users. So from accepting their bets, to placing their bets and finally settling the bets according to the results of the individual match, was the most crucial thing. We ensured that there was no manual intervention in this process so as to enable scale up of the entire system. Hence our focus was to confirm that the entire ecosystem was automated and self-sustained and error free.”