Sports Analytics is a collection of relevant historical statistics that when applied in the right way, can provide a competitive advantage to a team or an individual sportsman.
This data can help players, coaches & other staff in order to facilitate decision making during, prior & post the sporting events.
The term ‘Sports Analytics’ was popularized in mainstream sports culture following the release of the 2011 film, Moneyball, in which Oakland Athletics General Manager Billy Beane (played by Brad Pitt) relies heavily on the use of analytics to build a competitive team on a minimal budget.
Sports Analytics can be broken down in 2 parts: On-field Analytics & Off-field Analytics.
On-field analytics deals with improving the On-field performance of teams & players. It digs deep into aspects such as game tactics & player fitness.
Off-field analytics deals with the business side of sports, focusing on helping sport organizations surface patterns & insights through data that would help increase ticket & merchandise sales, improve fan engagement, etc.
Off-field analytics essentially uses data to help take decisions that would lead to higher growth & increased profitability of their sport & their team.
With the advancement of technology, data collection has become more in-depth & can be conducted with relative ease. Advancements in data collection have allowed for sports analytics to grow, leading to the development of advanced statistics as well as sport specific technologies that allow for things like game simulations to be conducted by teams prior to play, improve fan acquisition, marketing strategies & even understand the impact of sponsorship on each team as well as its fans.
On-field analytics deals with improving the On-field performance of teams & players. It digs deep into aspects such as game tactics & player fitness.
Off-field analytics deals with the business side of sports, focusing on helping sport organizations surface patterns & insights through data that would help increase ticket & merchandise sales, improve fan engagement, etc.
Off-field analytics essentially uses data to help take decisions that would lead to higher growth & increased profitability of their sport & their team.
With the advancement of technology, data collection has become more in-depth & can be conducted with relative ease. Advancements in data collection have allowed for sports analytics to grow, leading to the development of advanced statistics as well as sport specific technologies that allow for things like game simulations to be conducted by teams prior to play, improve fan acquisition, marketing strategies & even understand the impact of sponsorship on each team as well as its fans.