How to Stop Denver's Dynamic Duo Jokic and Murray with AI

As the NBA continues to evolve, teams are looking for any edge they can get over their opponents. One of the latest developments has been the use of artificial intelligence (AI) to analyze data and provide insights into how teams can best defend against their opponents. This has been particularly useful for teams trying to stop Denver’s dynamic duo of Nikola Jokic and Jamal Murray.

The Nuggets have been one of the most successful teams in the league since Jokic and Murray joined forces in 2018. The two have formed a formidable partnership that has seen them lead Denver to the playoffs in each of the past three seasons. As a result, teams have had to come up with creative ways to try and contain their offensive prowess.

One way teams have been using AI is by analyzing game footage from previous matchups between Denver and their opponents. By breaking down the data from these games, AI can help identify patterns in how Jokic and Murray play together, as well as what strategies work best against them. For example, AI can look at how often Jokic passes out of double-teams or how often Murray drives to the basket when guarded by a certain defender. Teams can then use this information to devise defensive schemes specifically tailored to stopping the duo.

In addition to analyzing game footage, AI can also be used to assess player performance in practice drills. By tracking players’ movements during drills, AI can help coaches identify areas where players need improvement and adjust practice plans accordingly. This could prove especially beneficial for teams trying to defend against Jokic and Murray, as it would allow them to focus on specific aspects of their defense such as closeouts or rotations.

Overall, AI is proving to be a valuable tool for teams looking to gain an edge over their opponents. By using AI to analyze data from both games and practices, teams can gain insight into how best to defend against Denver’s dynamic duo of Jokic and Murray. With AI continuing to advance, it will be interesting to see what other ways it can be used by teams in the future.