NBA analytics movement, also known as NBA Moneyball, is a data-driven approach that uses statistical analysis of big data. The old school method, measuring talent by watching, a.k.a. the “eye-test” didn’t die. But now it has an unlikely ally.
– Where Does the Moneyball Term Come From?
– How Do NBA Teams Utilize Analytics?
– What Data Types Have Been Used?
– Box Score & Play-by-Play Data
– Video Tracking Data
– The Rise of Up-tempo Game: “Seven Seconds or Less
– The Three Point Revolution
– Anti-Analytics Movement
– NBA Analytics Articles
Analytics has been relied on for;Backpicks.
Before the video-tracking era, analytics departments of teams were crunching numbers with tools such as StatsCube, Synergy.
A) BOX SCORE, PLAY-BY-PLAY and SYNERGY DATA | UNTIL 2009
Dean Oliver is to the NBA what Bill James is to baseball. In 2004, he wrote “Basketball on Paper”, there were only a handful of stat-heads in NBA front offices and fans didn’t have much interest to numbers. He introduced possession-based stats and four factors with the basketball community.
In the following years, many NBA stats resources and countless blogs including NBAstuffer came in and became popular sources for statistical hoops analysis. Those websites focused on plus-minus metrics, shot efficiency and spatial analysis with the help of play-by-play data.
B.1.) SPORTVU, 2010-2016
In 2008, STATS has acquired SportVu, a video tracking tool which was originally developed for soccer. Basically, SportVu adds the third dimension to the traditional stats. Positioning data for all 10 players, 3 referees and the ball can be captured with 25 pictures per second. In the 2010-11 season, Dallas Mavericks, Houston Rockets, Oklahoma City Thunder and San Antonio Spurs jumped in this technology and installed cameras. The next season, Celtics and Golden State Warriors were added. Starting from the 2013-14 season, NBA made SportVu cameras installed in every arena. With this move, the NBA became the first American sports league to use player tracking in every game. As a result, the amount of data is exploded. Instead of stat-geeks, computer engineers and data scientists with machine learning skills have started to be targeted by NBA teams.
pace) with Mike D’Antoni being head coach. The Suns were the clear flagship carrier of the up-tempo revolution. Fans loved the speed and a following transition 3-pointer so much that this became an NBA normal then where average pace was measured at 99.6 in 2017-18. Pelicans led the league with a 100.5 pace coached by Alvin Gentry who was also an assistant coach for Suns in 2004-05.Omni-Sci blog with the shot data provided by BigDataBall.
Thanks to playing “Moreyball“, the Rockets leads the league in 3PT attempts per game at 42.6, which makes more than a half of their total points scored. The value of three-point shooting is so high that more players have started to shoot threes. For example, Mehmet Okur, a center who was good at shooting threes, attempted roughly four 3P shots per game in the 2000s. At his time, this was a huge thing. Now, there are a dozen of bigs who like to shot three.
“The no-stats all-star” written by Micheal Lewis
“Don’t deny NBA stats geeks the truth” written by Bill Simmons
“NBA dives headlong into new era of statistical analysis” written by John Schuhmann
“Player tracking transforming NBA analytics” written by Zach McCann
“Lights, Cameras, Revolution” written by Zach Lowe
“NBA embraces advanced analytics as Moneyball movement sweeps pro basketball” written by Rick Maese
“Strength of each franchise’s analytics staff” written by Kevin Pelton
“The rise of data analysis Is changing the NBA” written by Terrance Ross
“Data analytics have made the NBA unrecognizable” written by Dan Kopf
“How to Get a Job in the NBA” written by Ben Falk
“How the NBA got its groove back” written by Kevin Pelton & Kevin Arnovitz
“A Statistical Analysis of the Overuse of Statistical Analysis in Sports” written by Ryan Callahan
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