![]() ![]() Soccer has proved to be a particularly difficult game to analyze. Advances in Soccer, but Skepticism Remains MORE FROM BIZTECH: How sports and IT intersect in the realm of cybersecurity. Some organizations have even advanced to using predictive and prescriptive analytics to enhance their game strategies. Teams use analytics in scouting operations for draft and free agency decisions, as well as to improve player health (every team in the league uses an electronic health record that can be accessed by on-field personnel via tablets), a crucial consideration for a sport with a concussion epidemic. For example, the Baltimore Ravens have hired two analysts: Sandy Weil, who studies game trends and helps with scouting decisions and Eugene Shen, who works with the coaching staff to evaluate player performance. To capitalize on this opportunity, teams are looking for analysts to find the insights they need. Gleaning an advantage from data analysis can be particularly valuable in a league where teams ascend and drop in the standings quickly from year to year. NFL Excels with Hard-Hitting Data AnalysisĪ few NFL teams have used sports data analytics for more than a decade, and more teams are expanding their analytics departments to help them find an edge. The tool also can be used to guide development of younger players who are years away from playing professionally. Open, for example, the association began using the artificial intelligence technology to generate highlights. USTA employs IBM Watson for various use cases. For example, if a specific opponent favors cross-court shots early in a point but hits forehand shots down the line more often as a point progresses, a player can use the observation to position himself more effectively. The analytics engine digests video footage captured during matches and training sessions to reveal insights such as opponents’ tendencies that can be exploited or when and how fatigue affects a player’s workouts. Tennis Association are using analytics through Watson, an analytics engine developed by IBM, to improve their tactics on the court as well as their training regimens. ![]() Other sports can gain an advantage by breaking down data. The league also supports efforts to find new ways to use analytics, holding an annual Hackathon, which also helps it find talented new data analysts. Players themselves have utilized analytics tools and devices such as wearables to monitor their sleep and fatigue levels, which can help them to avoid injury and train more effectively. They also help general managers spot undervalued players, so a team can make a trade that works in its favor. These analysts help teams identify trends that may improve on-court tactics or practice habits. Nearly every team in the NBA has hired data analysts as full-time staff members to work with coaches and front office staff. Data analysis is largely credited with the significant increase around the league in 3-point shooting, which has risen in each of the last eight seasons. To highlight this point, the Golden State Warriors, which has dominated the leagues in recent years, has one of the NBA’s most effective sports analytics departments. The NBA has embraced data analytics in a way that surpasses most other major U.S. NBA Establishes Leadership in Sports Data Analytics In the arena, studying data can help teams deliver a better experience for fans. In the coach’s film room, analysis of game information can help determine the best play to call in a specific situation, or the optimal lineup to win a game. On the practice court and in training sessions, data can tell an athlete how fatigue is affecting a workout. Use cases for data analytics tools in the sports world vary widely. They’re using data analytics tools to improve their decision-making, which enables them to plan better and innovate faster. Sports organizations are looking for advantages in business and on-the-field competition by gleaning hidden insights from the data they own. The devil, as they say, is in the details.
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