Cricket Data Visualization

Title Cricket Data Visualization
Authors Asnad Ahmed Sajin, Mohamed Sajjad Hossen, Toukir Ahmed Shuva
Semester Fall, 2016

Data visualization has become an important tool of finding an insight of any activities. The main objective of our project is to visualize the cricket data, not a prediction modeling system. Cricket is one of the most popular sports and analytics is imperative.
Many steps are involved in the process of implementing our project: Scribbling ideas, designing architecture, mockups, wire framing, brainstorming about analytics, frontend, backend database, parsing data, and, mostly, connection with testing rigorously. As, we focused on three domains of cricket- match, player, and team, our project will provide the following information-
• List of all the cricketing nations, highlighted in a world map.
• For each team in a particular year:
o Runs scored in every 10 overs.
o Runs scored in each partnership.
o A table reflecting the run scored by the batsmen.
o Bowling performance- how many boundaries, dot balls, extras, 1s or 2s are conceded successively.
• Suppose, team A and B are two cricketing nation who have played a lot of matches since their debut. For each team, the analytics will be:
o Over an interval of 10 overs, the runs of each batsman corresponding to the span of overs they played.
o For each partnership (1-10), runs scored by the couple individually.
o Rate of the increase in runs throughout the match of team A and B.
o Over an interval of 10 overs, the runs conceded by each bowler corresponding to the span of overs they bowled.
o Number of spells, boundaries conceded, wickets taken, extras, dot balls of every bowler.
• For every player:
o Runs scored against number of balls played.
o Number of times played in each position with batting average.
o Run concede, no of spells, wickets taken.
Our project is developed in MEAN stack, using a full stack approach, with the usage of a collection of tools required for web application development such as git, bower etc. Most of them are explained in our report. Hopefully, you will be able to comprehend from it.