Ipl Case Study
IPL TEAMS STRIKE GOLD WITH INFORMATION TECHNOLOGY
Cricket is a very fast-paced, high-energy sport but it’s also big business. Professional teams that belong to the Indian Premier League pay each of their players, the estimated value that could range from INR 20 lakh (INR 2 million) to INR 2 crore (INR 20 million) per year depending on his experience and stature. For that amount of money, member teams expect a great deal and are constantly on the watch for ways of improving their performance. During a 59-game season, every nuance a coach can pick up about a weakness in an opponent’s offense or the shots of one of his own players will translate into more runs on the scoreboard, more wins, and ultimately more money for the team.
Traditional cricket game statistics failed to capture all of the details associated with every play and was not easily related to videotapes of games. As a result, decisions about changes in tactics or how to take advantage of opponents’ weaknesses were based primarily on hunches and gut instincts. Coaches could not easily answer questions such as “Which types of plays are hurting us?” Now professional cricket coaches and managers are taking their cues from other businesses and learning how to make decisions based on hard data. The software available with the Indian Team was very generic and did not produce any analytical information. For the same reason, John Wright wanted to have quite a few reports to help him make decisions based on the statistical data.
A company called Sports Mechanics has found a way to collect and organize fine-grained statistical data and relate the data to associated video clips. Sports Mechanics employs just 5 people to match up video of each play with statistical information about every ball bowled within the match. For example, who bowled it, who is the batsman, who is the non-striker, where did the ball pitch, what did the ball do, where was the ball hit, how many runs were scored off it, who fielded
Cricket is a very fast-paced, high-energy sport but it’s also big business. Professional teams that belong to the Indian Premier League pay each of their players, the estimated value that could range from INR 20 lakh (INR 2 million) to INR 2 crore (INR 20 million) per year depending on his experience and stature. For that amount of money, member teams expect a great deal and are constantly on the watch for ways of improving their performance. During a 59-game season, every nuance a coach can pick up about a weakness in an opponent’s offense or the shots of one of his own players will translate into more runs on the scoreboard, more wins, and ultimately more money for the team.
Traditional cricket game statistics failed to capture all of the details associated with every play and was not easily related to videotapes of games. As a result, decisions about changes in tactics or how to take advantage of opponents’ weaknesses were based primarily on hunches and gut instincts. Coaches could not easily answer questions such as “Which types of plays are hurting us?” Now professional cricket coaches and managers are taking their cues from other businesses and learning how to make decisions based on hard data. The software available with the Indian Team was very generic and did not produce any analytical information. For the same reason, John Wright wanted to have quite a few reports to help him make decisions based on the statistical data.
A company called Sports Mechanics has found a way to collect and organize fine-grained statistical data and relate the data to associated video clips. Sports Mechanics employs just 5 people to match up video of each play with statistical information about every ball bowled within the match. For example, who bowled it, who is the batsman, who is the non-striker, where did the ball pitch, what did the ball do, where was the ball hit, how many runs were scored off it, who fielded