Applications of Sports data analytics in Sports
                     APPLICATIONS OF SPORTS 
DATA ANALYTICS IN 
SPORTS
https://datasportsgroup.com/
Businesses across the industries are increasingly dependent on data be it about 
the company's performance, or a customer's behavior pattern, but data-driven 
decision-making is at the forefront. Such a decision-making process is thought to 
be very logical and has a proven record of resulting in more successful results as 
well. It is thus only logical even in the sports industry the powerhouse of data 
would put this process to test.
The industry has even pioneered performance analytics which has been 
prevalent in the industry since the 1970s and went global when Moneyball was 
published by Michael Lewis. The book was centered around the statistical 
analysis of baseball records and how it was used for decision-making with in 
creating dependence of data in sport. Decisions about the player were made 
based on the data-driven insights and resulted in success for the team. Sports 
analytics as a market is worth almost around $4 billion now and professional 
sports teams invest huge amounts of money to meticulously analyze every 
aspect affecting player performance
Even National Football League has been 
tracking individual player performance and 
taking advantage of sports analytics and 
data to make decisions and has been 
successful in their approach in the past few 
seasons. NFL first pinned small sensors in 
players’ shoulder pads, then created a rich 
database but tracking their performance 
during the game throughout the season. Then 
all the data were made available to the clubs 
as well to drive competition. Now even the 
competitors has access to the player 
performance and can evaluate strengths and 
weaknesses and make strategies according to 
that.
Wimbledon on the other hand took advantage of video footage as well and has 
been consistently been tracking individual tennis players for years now. The same 
data is used by coaches and helps them better guide the players. IBM Wimbledon 
client executive Sam Seddon once commented that “We have over 150 staff on the 
premises and we capture over 3.2 million data points throughout the course of 
the Championships,”.The data is collected from the courtside from speed, serve 
location, and rally count all of that is inputted in.
A similar type of observation is made in Basketball and F1 as well. In basketball 
3D trackers are deployed to track shots and give insights into shooting accuracy 
and patterns. Coaches use trackers to keep a tab on the players and their accuracy 
on the court. Sports analytics use in F1 has made the car even more intelligent. 
With hundreds of sensors to measure a number of things in the car, the lap time, 
the G-force, engine, and tyre and brake temperatures all this data is used to drive 
decisions and help the teams devise a pitting strategy
The data is also usedlive 
football data feed to 
develop the car further for 
the next race. F1 has 
multiple such applications 
of data analytics and in the 
future would be more 
reliant on cloud computing, 
predictive analytics and 
intelligence, ML, and 
prescriptive intelligence.
While the main star of sports is the teams and players but sports organizations 
have not discounted the sports fans. Understanding the behavior pattern of sports 
fans gives the teams unique insights behind the screen, the organizations can 
track what kind of content is preferred more by the fans, it decided their digital 
engagement plan and the data pattern analysis from online sports viewing, app 
logins, and online video arms them with more data to take fan engagement 
strategies to the next level. It improves the overall experience of the fans and even 
brings in better revenue.
Data Sports Group one of the well-known sports data providers has 
helped many companies unlock the next growth phase with the relevant 
sports data that is essential to keep in mind when we talk about customer 
engagement. First and foremost the viewers would consume the sports 
data and then move on to the experience phase. With Data Sports Group 
companies can forget about the data needs and leave them in our hands 
with the knowledge that consistent, rich quality data would be delivered 
straight to their platform.
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