Analytics in sports is a relatively new concept that gained rapid popularity after Michael Lewis released his book on “Moneyball” in 2003. Sports analytics, today, has become a part and parcel of every athlete’s life and most professional sports team have a team of analytics experts grinding the numbers and uncovering insights to improve performance. Teams of today scan scouting reports from clipboards and send them across to data scientists, who crunch the numbers that scouts and managers use to shortlist players for their teams. This helps in creating a profile of players who are the best fit for the team. Sports analytics, or analytics in sports, is the future of professional sports as it helps teams to gain a competitive advantage.
The popularity of sports analytics has nothing to do with the technology but has more to do with the audience. Fans of today consume more analytical content than ever before and, as a result, there are numerous websites that are solely dedicated to analyzing and researching sports-related data or developments. To make the most of this trend, many sports analytics companies are now setting up domains that provide more value than just sports coverage. Such websites contain numbers and predictions that estimate the outcome of the upcoming matches. From the coaching staff to athletes, sports analytics has a big role to play when it comes to reshaping touchdowns, preventing injuries, and signing contracts. That being said, here’s Quantzig’s list of the top benefits of using analytics in sports.
Sports analytics benefits
Today, many sports analytics companies have started implementing technologies that track the accuracy of pitches. Though this technology has some way to go before it is implemented on a full-scale, sports like cricket and football have already started implementing such technologies to have a better clarity on whether a ball has been pitched perfectly or whether a goal has been scored.
For all the number crunchers out there, there’s a plethora of new websites available that contain the data of their favorite teams and players. The growing acceptance of sports analytics as a medium to gain insights has resulted in the availability of sites that offer a comprehensive break-down of data related to players and their teams. Sports analytics companies now track metrics such as the individual performance of a player or store data on umpire’s calls to help the audience gain more insights into a game’s outcome.
Taking wearables to the next level
With the rising popularity of wearable technologies, many sports analytics companies have started entering the wearable technology market. The use of analytics in sports can help determine the performance of top players and estimate who needs a rest. Real-time statistics such as heart rate, speed, and acceleration also help coaches and fitness doctors to plan their training and rehabilitation accordingly.
The demand for sports analytics will continue to evolve, and with time, it will become an essential tool for coaches, players, and the audience alike. Though the use of analytics in sports can improve greatly, continuous innovations in areas of predicting the mental state of the players and on-field performance will make sports analytics one of the biggest developments of the modern era.
Analytics has made its mark in various industries by simplifying processes and giving actionable insights. But the use of analytics in sports is a relatively new concept. Today, professional sports have become so highly competitive that a minute can change the course of the whole game. Also, fan following for various sports teams have grown more than ever before, putting higher pressure on players and teams to monitor their performance. They are realizing the need for an accurate performance tracking system that can help take corrective measures after studying accurate performance metrics. This is where capabilities such as sports analytics come into the game plan. Sports analytics can make a difference in scoring touchdowns, signing contracts, or preventing injuries. Sports analytics uses sports-related data such as weather conditions, players’ statistics, and information from expert scouts to build predictive models around this data. As sports managements are competing to gain a competitive edge over the other, there has been a subsequent surge in the use of analytics in sports. Here is why sports analytics can solve major problems for coached, management, and the players:
Live field data
Currently, a large amount of data is collected manually during a game of sports matches. But since the actions take place at a rapid speed on the field or during a match, it becomes difficult to track live data. Companies such as MotionWorks Sports Solution makes RFID tags that are attached to the ball, equipment, and even the players to track movement, distance, and speed.
Teams and ticket vendors are trying their best to provide the most comfortable and enjoyable experiences to fans watching the match. They can use sports analytics to get to know the audience better and cater to their needs. Furthermore, it becomes easier to deliver a better experience to followers using team specific mobile apps that provide fans with special content, in-seat concession ordering, and bathroom wait times.
Coaches can leverage sports analytics to gain important and accurate data sets that would help them adjust their tactics for better results on the field. Using data, coaches and players can make more informed decisions that could decide wins and losses. They can also analyze the data from past matches or tournaments to formulate a better game plan and eliminate the tactics that do not give favorable results.
Data from wearable technology
Wearable technology is now slowly being experimented for sports analytics. Several vendors such as Adidas have introduced technologies that work by attaching wearable devices to the jerseys of players. Data from the device helps the coach identify who the top performers are and who needs rest. It also provides real-time stats on each player, such as speed, acceleration, and heart rate. This type of real-time data could help trainers and physicians plan for better training and conditioning.