The list includes the NBA teams using advanced stats by either employing basketball analytics professionals or working with statistical consultants.

• Boston Celtics:
  Mike Zarren (Asst. Exec. Director of Basketball Operations), David B. Sparks (Statistical Intern)
• Cleveland Cavaliers:
  Dan Rosenbaum (Consultant), David Lewin (Basketball Operations Seasonal Assistant)
• Dallas Mavericks:
  Roland Beech, (Director of Basketball Analytics, a.k.a “The Stats Coach") Wayne Winston (formerly worked for Mavs)
• Denver Nuggets:
  Dean Oliver (formerly worked for Nuggets as Director of Quantitative Analysis)
• Detroit Pistons:
  Kenneth Catanella (Director of Basketball Operations), Charles Klask (Statistics Coach)
• Houston Rockets:
  Daryl Morey (General Manager), Sam Hinkie (Executive VP of Basketball Operations),
  Ed Kupfer (Consultant), Eli Witus (Basketball Operations Analyst), Monte McNair (Basketball Operations Analyst)
• Indiana Pacers:
  Kevin Pelton (Consultant)
• Los Angeles Lakers:
  Chris Bodaken (Director of Video Services), Trey Tomjanovich (Software Provider)
• Memphis Grizzlies:
  Aaron Barzilai (Quantitative Analyst)
• Miami Heat:
  Bob Chaikin (Basketball Analyst)
• Milwaukee Bucks:
  Jon Nichols (Director of Basketball Analytics)
• New Jersey Nets:
  Milton Lee (Director of Basketball Operations), Ken Catanella (formerly worked for Nets as Coordinator of Statistical Analysis)
• Oklahoma City:
  Benjamin C. Alamar (Senior Quantitative Analyst),
  Jesse Weinstein-Gould (Basketball Information Coordinator)
• Orlando Magic:
  Analytics work is now being operated by basketball operations staff. Charles Klark has worked for Magic as Scouting Information Manager for 2 years.
• Phoenix Suns:
  Steve Ilardi (Analytics Consultant)
• Portland Trail Blazers:
  Rich Cho (Former GM), Justin Kubatko (Consultant), Ben Falk (Basketball Analytics Manager),
  Jeff Ma (Consultant), Ryan Parker (Intern)
• San Antonio Spurs:
  Gabe Farkas (Consultant)
• Toronto Raptors:
  Alex Rucker (Consultant), Keith Boyarsky (Consultant)
• Washington Wizards:
  Bob Bellotti (Consultant), Joe Sill (Consultant),
  Ryan Saunders (Assistant Coach/Statistical Analysis)

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Neural networks are one of the machine learning systems in sports. By the help of neural networks, datasets are learned by the system and hidden trends can be revealed for creating a competitive edge.

Simulations and machine learning systems means a lot for sports analytics. The ability to apply statistics and rigorous mathematical models to provide instantaneous results is quickly becoming an invaluable commodity. Systems of this type vary from simulations that model an entire upcoming season’s worth of data to identify the best chance of winning, to simulations that identify weaknesses in motion and offer advice for correcting them.

Other than statistical predictive algorithms, neural networks can be used as sports betting and fantasy league tools in following ways;
* [STAT MINING ]: Locate common characteristics in large amounts of data,
* [ODDS SETTING]: Predict probability of an outcome,
* [MOMENTUM MENTALITY]: Forecast trends based on previous data,
* [SIMILAR PLAYERS]: Group potential assets or players based on similarities.

Other machine learning techniques include;
* genetic algorithm,
* the ID3 decision tree algorithm,
* a regression-based variant of the Support Vector Machine (SVM) classifier, called Support Vector Regression (SVR).

NESSIS is an event in which statisticians from all over the world come together and present academical studies. NBA and other sports analytics community has been benefiting from NESSIS that many studies on statistics regarding professional sports are being introduced first time at NESSIS just like MIT Sloan Sports Analytics Conference.

The first New England Statistics Symposium was held at the University of Connecticut, which traditionally hosts the Symposium on alternate years. Now, The Department of Statistics of Harvard University hosts the New England Statistics Symposium.