![]() The idea is the more tired a player is, the more prone they are to injury. The revolutionary application of such data analytics was the “resting” of players even without “obvious” justifications in order to avoid injury. Predicting and avoiding player injury: teams have been collecting sophisticated data points about its players through wearables, sleep monitors, and even saliva samples to asses their fatigue level and predict their performance going forward.Clearly Stephen Curry prefers to take his shots from the 3 point line and in the paint (area between free throw and basket) This helped coaches better plan defensive strategies based on their opponents, decide on which players should be matched up against who, and recommend “smarter” offensive moves for their players such as how they should be positioned and how to better optimize for a three-point shot.īreakdown of how Stephen Curry fairs against the rest of the league when taking shots from certain areas of the court. Historically, teams were only able to collect basic stats on their players like points scored and assists made, but today, and thanks to the video system installed, teams are now looking at more in-depth data such as the frequency of which players go forward with their right or left foot, or certain ‘tells’ players make before specific moves. This data is being analyzed by machine learning models to recommend the winning strategy accordingly. Designing winning strategies: the NBA has installed six cameras in every Basketball court to collect granular data on players’ movements.Teams have been using high-tech analytics mainly in three ways: designing winning strategies, predicting and avoiding player injury, and scouting. So how is data analytics being used in the context of the NBA? Is it really creating value or has it turned the basketball game from fun and eventful to predictable and boring? Value creation through use of analytics in the NBA:ĭata has become front and center for NBA games where almost every decision is now based on analytics. ![]() A game where every move is calculated with the aim to optimize for a winning strategy. A game where every team now has at least one data analyst. It is almost as if these Analytics models have inputted the conventional NBA and outputted an entirely new game. Atlanta Hawks - Charlotte Hornets, Boston Celtics - New York Knicks, Houston Rockets - Orlando Magic, Washington Wizards - Indiana Pacers, Cleveland Cavaliers - Brooklyn Nets, Detroit Pistons - Miami Heat, Minnesota Timberwolves - Toronto Raptors, New Orleans Pelicans - Memphis Grizzlies, Oklahoma City Thunder - Chicago Bulls, Sacramento Kings - Utah Jazz, Dallas Mavericks - San Antonio Spurs, Portland Trail Blazers - Los Angeles Clippers, 26.10.Professional basketball has looked very different over the past ten years thanks to the use of data analytics. Los Angeles Lakers - Denver Nuggets, Phoenix Suns - Golden State Warriors, 25.10. You can find NBA scores and standings on NBA page, or click on the basketball scores page to see all today's basketball scores.Ģ4.10. Standings: offers home/away/overall NBA standings and form (last 5 matches) tables. In addition, provides lineups, statistics (number of 2- and 3-point attempts, free throws, shooting percentage, rebounds, turnovers, steals, personal fouls) and player statistics from top basketball leagues. Follow NBA page for live scores, final results, fixtures and standings! Live scores on : Here you'll find live scores, quarter- and final results and match history point by point in match details.
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