There is little doubt that basketball has embraced analytics and big data more than any other sport. This makes sense because basketball has always been a sport rich in stats, with decisions made based on numbers. However, other sports have jumped on the analytics train over the last handful of years and have found it to be far more useful than initially expected.
The NBA has become a shining example of how embracing analytics makes a difference. Recent studies show a clear correlation between wins and how much a team has invested in its analytics department. In other words, the teams that have more staff members focusing on analytics and taking their findings more seriously are ending up on the winning side of things more so than teams that aren’t making modern analytics a priority. But how and why is this happening?
What do Analytics Teach?
When used properly, analytics can help NBA teams on a variety of fronts, from player development to pre-game preparation to in-game adjustments. Advanced metrics can show a deep dive into a player’s strengths and weaknesses, pointing out where they need the most work to improve. These same stats can also help teams evaluate potential draft picks and free-agent acquisitions to determine if they fit the team’s playing style or have the skill set to adequately fill the team’s needs.
Coaches also benefit from advanced analytics, both in terms of evaluating their own team and preparing for opposing teams. Analytics can provide a window into the weaknesses of an opponent, helping a coach decide the types of plays that will be most effective. Modern data can also shine a lot on which lineups perform best together, so that certain player combinations can be used more frequently or during the most critical times of a game.
Proof is in the Pudding
By now, all 30 NBA teams have at least one staff member who is fully dedicated to analytics. However, some teams have leaned more heavily into it than others, and many of those teams are reaping the benefits. It’s not surprising that the Oklahoma City Thunder, the reigning NBA champs and current favorites to win the 2026 title, have one of the largest data and analytics departments in the league.
The Houston Rockets are another great example. Former GM Daryl Morey has degrees from Northwestern and MIT and has embraced analytics perhaps more than any other GM in the league. His style is often compared to “Moneyball,” which helped pioneer the use of analytics in basketball. Behind Morey’s analytics-heavy approach, the Rockets have one of the most youthful and talented rosters in the league.
It All Makes Sense
A few years ago, it made sense to be skeptical of analytics in basketball. After all, it’s long been a game in which size, strength, and talent tend to win out. But the truth is that making data-backed decisions is usually a good idea in any industry. It’s not hard to recognize that retail, finance, and even healthcare sectors are seeing improvements thanks to big data and analytics.
Even the entertainment industry is jumping on the bandwagon. The principle of collecting as much information as possible, analyzing that data, and harnessing it to make good choices is universal. It’s no different than if you were to compare UK casino sites. You would want to analyze as much information as possible about each option before choosing the right one. The analytics departments of NBA teams take a similar approach to data collection and analysis.
Future of NBA Analytics
The bottom line is that analytics and big data in the NBA are here to stay. The league has already come so far in such a short period of time. With studies suggesting that the teams embracing analytics are more successful, analytics departments could almost turn into an arms race. With technologies like AI and machine learning only expediting analysis and improving accuracy, NBA teams might only be scratching the surface with regard to how analytics can help.
