Use of AI in Fantasy Cricket Platform

Cricket is not just a sport that entertains people. It is one of the most popular sport emerged as a billion dollar industry worldwide and supports a large ecosystem.

Because of the increasing popularity of this sport, came in Fantasy cricket a game which gives the users an opportunity to create their own fantasy team of cricketers, play in a particular tournament, earn points on the basis of how the selected players are performing in actual matches, compare their own performance with that of other players in the league and if you win en cash big money.

How Fantasy Cricket app work

1. Every match will have multiple leagues that you can join to compete against other users
2. Your ranking in the league is based on your team’s match result in terms of runs. The more runs you win, the higher your ranking will be and the more cash you will win.
3. Select a team of 11 players to play the live match.
4. Using the players you selected, and the batting & bowling orders you assigned, a cricket scorecard will be created for the match.
5. The batting innings in your scorecard will be updated with your players’ Runs Scored & Balls Faced from the live match and Overs Bowled, Runs Given & Wickets Taken from the live match.
6. The prize will be added to the cricket app account and can be withdrawn to receive cash.

How AI helps in Fantasy Cricket

• When the performance of the AI platform is compared against the performance of human players over various matches, the AI platform is able to outperform 99% of these players. AI keeps a track of matches played. Out of 5000 players, manually played match score is 4000 in rank while with AI rank is at top 0.1%. Simply win matches with AI platform and gain cash.
• Clustering is an example of ‘unsupervised learning’. We can feed the data as-is and let the algorithm ‘classify’ their performance to arrive at homogeneous groups of players.  Players such as batsmen, bowlers, fielders, all-rounders and frame meaningful strategies based on that.
• AI mines cricket and other available data sources to form a hypothesis, which then presents with a confidence scoring schema.
• Prediction is made using dataset related to individual and team game, offense and defensive gameplay statistics. Based on the history such as which player won the maximum time or which player hits the wicket the most. The predictive analysis could pick probable winners and help manage risk better.
• Through speech recognition, you can provide alerts such as For example, “Alert me when Cricketer ABC strikes a hatrick”, “Alert me when ABC player plays six” or “Alert me when ABC player wins the match”.
• Get to know the overall team’s win or loss ratio, number of 100s and 50s scored in total, number of boundaries scored in total, bowling strike rate, batting strike rate and much more with the help of Machine Learning.
• AI can make sense of opponents playing style and search for a specific stroke on a specific part of the match court – within seconds.
• AI gives the ability to process views of the action from various angles, one advantage that machines have and humans don’t through scene detection, mixed and virtual reality elements.
• Online commentary can be brought into action anytime to enjoy the game in real time.
• Through Chat mechanism, type in your query in the middle of the game and through robotic process automation the system will provide you answers telling you the live feed of the game.
• Last but not the least, since we have cash involved in Fantasy Cricket, AI helps in fraud protection by watching over the account and trying to warn you of any frauds.

Thus AI makes the game more realistic, users can score more and win big prize money, reduce risk and helps in better decision making.