  The evolution of digital technology and the increasing popularity of sports
inspired the innovators to take the experience of users with a proclivity
towards sports to a whole new different level, by introducing Fantasy Sports
Platforms FSPs. The application of Data Science and Analytics is Ubiquitous in
the Modern World. Data Science and Analytics open doors to gain a deeper
understanding and help in the decision making process. We firmly believed that
we could adopt Data Science to predict the winning fantasy cricket team on the
FSP, Dream 11. We built a predictive model that predicts the performance of
players in a prospective game. We used a combination of Greedy and Knapsack
Algorithms to prescribe the combination of 11 players to create a fantasy
cricket team that has the most significant statistical odds of finishing as the
strongest team thereby giving us a higher chance of winning the pot of bets on
the Dream 11 FSP. We used PyCaret Python Library to help us understand and
adopt the best Regressor Algorithm for our problem statement to make precise
predictions. Further, we used Plotly Python Library to give us visual insights
into the team, and players performances by accounting for the statistical, and
subjective factors of a prospective game. The interactive plots help us to
bolster the recommendations of our predictive model. You either win big, win
small, or lose your bet based on the performance of the players selected for
your fantasy team in the prospective game, and our model increases the
probability of you winning big.
