Browsing by Author "LHR TP 7128"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Strategy Prediction of Pakistan Cricket Team – Cricket Analytics
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2021) Muhammad Ahsan , Muhammad Hamza , Abdul Rafeh; SP17-BCS-003 , SP17-BCS-114 , SP17-BCS-157; Dr. Muhammad Aksam Iftikhar; LHR TP 7128
    Cricket is a famous sport and it is not possible to be sure of the outcomes of a planned strategy no matter how experienced a player is, the performance of the batsman/bowler can be affected by many factors including the environmental factors or the bowler he is facing. We can train a model with the past behaviors of a sportsman against a certain bowler on a certain pitch. This model would learn the behaviors of team players and predict the score range that player could make in that match, score range against a bowler in that match. In our project, we will provide an interface to the user using which the user can interact with the model in such a way that once the match starts the user will provide the opponent team, match location. After that, a user and model session will start in which he would be able to give live updates. e.g. the current batsman, the current bowler, if the batsman got out, on which the model would provide a live prediction on that input e.g. the chances of a batsman getting out against that bowler or the score he can score against a bowler on his best positions, the approximate score that the batsman might break in that over, the model would predict which next batsman would be suitable against that bowler and what stats he could achieve. The output that the system gives will portray the score range prediction, score range will be a bracket where the score from that batsman might fall, score range against all players, score range over wise and live match companion that interacts the way people do while watching the match.
  • No Thumbnail Available
    Item
    Strategy Prediction of Pakistan Cricket Team Cricket Analytics
    (Library Information Services, COMSATS University, Lahore Campus, 2020) Muhammad Ahsan , Muhammad Hamza , Abdul Rafeh,; SP17-BCS-003 , SP17-BCS-114 , SP17-BCS-157; Dr. Muhammad Aksam Iftikhar, Assistant Profesor; LHR TP 7128
    Cricket is a famous sport and it is not possible to be sure of the outcomes of a planned strategy no matter how experienced a player is, the performance of the batsman/bowler can be affected by many factors including the environmental factors or the bowler he is facing. We can train a model with the past behaviors of a sportsman against a certain bowler on a certain pitch. This model would learn the behaviors of team players and predict the score range that player could make in that match, score range against a bowler in that match. In our project, we will provide an interface to the user using which the user can interact with the model in such a way that once the match starts the user will provide the opponent team, match location. After that, a user and model session will start in which he would be able to give live updates. e.g. the current batsman, the current bowler, if the batsman got out, on which the model would provide a live prediction on that input e.g. the chances of a batsman getting out against that bowler or the score he can score against a bowler on his best positions, the approximate score that the batsman might break in that over, the model would predict which next batsman would be suitable against that bowler and what stats he could achieve. The output that the system gives will portray the score range prediction, score range will be a bracket where the score from that batsman might fall, score range against all players, score range over wise and live match companion that interacts the way people do while watching the match.