The Rise Of Sports Analytics
                     THE RISE OF SPORTS 
ANALYTICS
https://datasportsgroup.com/
Sports, for some people it’s just games, while for others it is an overwhelming 
emotion. No matter what sport it is, people are connected to the sport in some or the 
other way. A new player being signed, a club legend leaving, or the joy and sorrows of 
winning and losing, everything has an effect. Decisions like these are made in a very 
crucial manner. To reduce the pressure of making these decisions, the Oakland 
Athletics’ general manager, Billy Beane brought in a revolutionary change in the 
system.
Introduction of sports analytics
The former ball player Billy Beane was the first person to use the statistical data of a 
player’s previous performances to make a decision in sport history. According to 
Beane, teams scoring runs was just based on some analysis. Teams that score more 
runs have a high on-base percentage. This thing eventually results in the team 
winning. Before this, decisions were made on gut feelings and just what the managers 
saw. But after Beane’s sabermetrics, players who were unfit, less heighted and not so 
fast runners also got the chance to get selected as his system did not use these factors 
to sign a player.
Popularity of analytics in sports
Data analytics in sports is being used a lot 
these days. Every team has an analytics 
team or a person who maintains the player 
data. These players' data are given to the 
higher officials and the mathematicians 
then work out with those numbers to select 
what player will be the best fit for the 
team. Majorly, almost every team now 
needs these analyses and if a team chooses 
not to use this technique, they might be 
having a big disadvantage as compared to 
other teams.
There are many websites and apps nowadays that keep a track of player, team and 
manager stats. They can predict the winners or maybe the probable winners of the 
game before it is even played. It is always better to go for data-oriented results than 
going for a gut feeling. Websites can now look for prior results, win and loss rates, 
how the opponent has been performing from a few months to a few years. These 
statistics can help teams to prepare well and know what to look out for in their 
upcoming matches. These prediction websites and software programs do not limit 
themselves to sports. These apps are also being used for political use. The system 
predicted that 49 out of 50 states will vote in the Presidential Elections.
Use of analysis in Basketball
Starting from baseball, analysis of sports is 
now being used in all different kinds of 
sports. Basketball is one such example that 
uses this system. It has restructured the 
way a player’s performance is measured. 
The NBA has introduced the world to a 
system called Player Tracking. As the name 
suggests, this system will analyze the 
player’s movements and calculate the skills 
and efficiency of the team. NBA players are 
being studied by many cameras around 
them.  
Things like their speed, stealth, minutes played, and passes made throughout the 
match and how much possession the player had throughout is noted. These analyses 
are made public on the NBA's official website. Data analysis has changed basketball 
forever. Business analytics in sports have helped teams make proper decisions for 
their success.
Disadvantages of the system
We have seen what benefit this system of analysis can do, but we also have to see the 
disadvantages of it. There are a lot of criteria that come into play when these analyses 
are done. Analysis sometimes makes it difficult for the team owners and coaches to 
take a decision, whether it is to release a player or to bag one in the team. The data’s 
predictions can create an imbalance in the team, and it can further be difficult to 
handle the situations. It does not always depend on the numbers. A player’s mental or 
emotional state also matters when these transfers are made, which cannot be 
analyzed in systems. Sometimes a players’ responsibilities in the team can affect their 
performances. Suppose a player is chosen as a captain. Now, he has the responsibility 
to lead the team, take crucial and nail-biting decisions and over all this, his 
performance should prove why he is the team captain. The system won’t be able to 
measure the mental state of a player, which goes parallel with his/her on field 
performance. The system can only play and crunch with numbers, it cannot prevent a 
team from bringing in a player who cannot fit emotionally in the team.
One thing is very obvious now that data analytics in sports is going to get more 
advanced in the future. We at Data Sports Group, can help you with analysis, 
statistics, and numbers about players and teams for a wide range of sports. We 
deliver stats about 50 different sports and one can add our sports scores widget right 
to your home screen to get all the scores and analysis right as we post it.
CONTACT US
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