by It is not a scene from the future, but a reality on today’s hard places.
With artificial intelligence, a top basketball team found the right defensive strategy that made the difference to win the NBA championship.
The data specialist Rajiv Maheswaran rejects the outfit that used AI analysis to win, and only said in a company video that it happened a few years ago.
That was “the moment when it was sealed,” added the co-founder of the Tech Startup Second Spectrum, which conveys the league with Twathes of player positioning data that were collected during important games.
Analytics have changed the NBA in the past ten years, with AI and other breakthroughs still rise.
Embryonales in the early 2000s, the 2013 Revolution really enabled Motion capture cameras to be installed at every event location.
Ten years later, new tech rendering of the Court improved from 2D to 3D and released even more valuable data.
Each player wears 29 markers “So you not only know where he is, but you know where his elbow is and you know where his knee is,” said Ben Alamar, a sports analysis author and consultant.
“You can actually see, yes, that was a high -quality (defensive) cladding,” said Tom Ryan, head of basketball research and development at NBA, which described a manouvre that was often used.
“This metric adds more context.”
“Now all 30 teams carry out a significant analysis with different success,” said Alamar.
Houston, Golden State and Oklahoma City were often quoted in the early users of the 2010s.
This season, Oklahoma City is at the head of the regular season “and they play differently,” said Dean Oliver, founder of the ESPN Analytics Group.
“They force sales and have very few sales themselves. So there are definitely advantages.”
“During the season, no team with 25 wins will turn into a team with 70 wins, but a team with 50 wins can transform into a 55, 56 winning team,” said Alamar.
AI enables “strategic knowledge” such as “understanding of matchups that find situations in which players do well, which combinations of players,” he added.
– ‘Optimizing recordings’ –
None of the dozen teams contacted by AFP agreed to discuss their work for analysis.
“Teams are (understandably) mysterious,” confirmed Oliver.
Before 3D Motion Capture data already changed the game and took basketball from a more controlled pace to somewhat looser and faster, he added.
The data showed that a faster game looks more open and a higher percentage of the recordings – a development that some criticize.
On average, three-point shot tests have doubled in the past 15 years.
“As a league, we are now deep into the analysis,” said the Point Guard von Milwaukee, Damian Lillard, at the February all-star game.
While it may “take away the originality of the game … you have to set yourself with what works to win.”
The league takes the topic seriously enough that Commissioner Adam Silver recently mentioned that “some adjustments” could be made to tackle it.
Even now, Ai has “a lot of upward trend,” said Oliver.
“The data is massive, but converting it into information, in knowledge that can be transmitted to players that you can record, all of these steps still have to be taken.”
– ‘Call correctly’ – –
The league itself pursues several analysis and AI projects, including for real-time referees.
“The ROI (Return on Investment) is very clear,” said Ryan. “It’s about getting more calls right, faster and transparent to our fans.”
“We would love a world in which a ball goes out of its borders and they are not sure who he went instead of playing up if they repeat themselves in real time in real time in real time … that’s really our Nordstern.”
Spatial data can also extend the fan experience that is shown during the Christmas game “Dunk The Halls” between San Antonio and New York.
An alternative television show made the game in the real-time display in video game style, with avatare replacing live action pictures.
“We want to experiment with all types of immersive media,” says Ryan. “We just want to be able to sell our game and present it in a convincing way.”
TU/ARP/TGB
