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Analytics (ice hockey)

In ice hockey, analytics is the analysis of the characteristics of hockey players and teams through the use of statistics and other tools to gain a greater understanding of the effects of their performance. Three commonly used basic statistics in ice hockey analytics are "Corsi" and "Fenwick", both of which use shot attempts to approximate puck possession, and "PDO", which is often considered a measure of luck. However, new statistics are being created every year, with "RAPM", regularized adjusted plus-minus, and "xG", expected goals, being created very recently in regards to hockey even though they have been around in other sports before. RAPM tries to isolate a players play driving ability based on multiple factors, while xG tries to show how many goals a player should be expected to add to their team independent of shooting and goalie talent. Hockey Hall of Fame coach Roger Nielson is credited as being an early pioneer of analytics and used measures of his own invention as early as his tenure with the Peterborough Petes in the late 1960s. In modern usage, analytics have traditionally been the domain of hockey bloggers and amateur statisticians. They have been increasingly adopted by National Hockey League (NHL) organizations themselves, and reached mainstream usage when the NHL partnered with SAP SE to create an "enhanced" statistical package that coincided with the launch of a new website featuring analytical statistics during the 2014–15 season.

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John Hollinger

John Hollinger (born May 17, 1971) is the former Vice President of Basketball Operations for the Memphis Grizzlies of the National Basketball Association (NBA) and current Senior NBA columnist at The Athletic. Prior to December 2012, he was an analyst and writer for ESPN, primarily covering the NBA. Hollinger grew up in Mahwah, New Jersey, and is a 1993 graduate of the University of Virginia. Hollinger developed the website Alleyoop in 1996, initially as a hobby and sounding board for his musings on the game. Touting the site as "The Basketball Page for Thinking Fans," Hollinger followed in the footsteps of noted analysts Dean Oliver and Bob Bellotti in a quest for the ultimate basketball statistic. During Alleyoop's early years, Hollinger experimented with offensive and defensive ratings (points created and allowed per 100 possessions) in much the same way as Oliver, as a means of quantifying a player's overall contribution to his team. While the methods were hardly groundbreaking, Hollinger's writing style and incisive commentary caught the eye of such industry luminaries as Web Magazine, and The Wall Street Journal. Hollinger spent the next three years as the sports editor at OregonLive.com, developing an intimate understanding of the inner workings of the NBA, both as a game and a business. It was during his OregonLive years that Hollinger developed his Player Efficiency Rating (PER), a figure that attempts to combine all of a player's contributions into one number. After his stint in Portland, Hollinger was hired as the basketball editor at SI.com, Sports Illustrated's online sister site. In 2002, Hollinger released the first Pro Basketball Prospectus which was his first work published in print.

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MIT Sloan Sports Analytics Conference

The MIT Sloan Sports Analytics Conference (SSAC) is an annual event that provides a forum for industry professionals (executives and leading researchers) and students to discuss the increasing role of analytics in the sports industry. The conference is held in the Boston area and while its location has moved from the MIT campus to higher capacity convention centers, it has always occurred during February or March. Founded in 2006, the conference is co-chaired by Daryl Morey, President of basketball operations for the Philadelphia 76ers, and Jessica Gelman, CEO of KAGR (Kraft Analytics Group), who oversee MIT Sloan students (from the EMS Club) in the planning and operating of the yearly conference. It is the largest student-run conference in the world, attracting students from over 170 different schools and representatives from over 80 professional sports teams in the MLB, NBA, NFL, NHL, MLS, and Premier League. The conference has been sold out every year and has become the premier venue for sports analytics discussion. ESPN has been the presenting sponsor since 2010 and the conference has garnered national attention through media outlets such as Sports Illustrated, The Wall Street Journal, The New York Times, The Boston Globe, Time, BusinessWeek, NBC Sports, Fox Sports, ESPN's Pardon the Interruption, and Forbes. ESPN columnist Bill Simmons has nicknamed the conference Dorkapalooza.The MIT Sloan Sports Analytics Conference was ranked #3 by Fast Company magazine in its 2012 ranking of the world's most innovative sports companies behind only the NFL and MLB Advanced Media.

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Predictive analytics

Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions.The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud detection, manufacturing, healthcare, and government operations including law enforcement. Predictive analytics is used in actuarial science, marketing, business management, sports/fantasy sports, insurance, policing, telecommunications, retail, travel, mobility, healthcare, child protection, pharmaceuticals, capacity planning, social networking and other fields. One of the best-known applications is credit scoring, which is used throughout business management. Scoring models process a customer's credit history, loan application, customer data, etc., in order to rank-order individuals by their likelihood of making future credit payments on time.

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Sports analytics

Sports analytics are a collection of relevant, historical, statistics that can provide a competitive advantage to a team or individual. Through the collection and analyzation of these data, sports analytics inform players, coaches and other staff in order to facilitate decision making both during and prior to sporting events. The term "sports analytics" was popularized in mainstream sports culture following the release of the 2011 film, Moneyball, in which Oakland Athletics General Manager Billy Beane (played by Brad Pitt) relies heavily on the use of analytics to build a competitive team on a minimal budget. There are two key aspects of sports analytics — on-field and off-field analytics. On-field analytics deals with improving the on-field performance of teams and players. It digs deep into aspects such as game tactics and player fitness. Off-field analytics deals with the business side of sports. Off-field analytics focuses on helping a sport organization or body surface patterns and insights through data that would help increase ticket and merchandise sales, improve fan engagement, etc. Off-field analytics essentially uses data to help rightsholders take decisions that would lead to higher growth and increased profitability.As technology has advanced over the last number of years data collection has become more in-depth and can be conducted with relative ease. Advancements in data collection have allowed for sports analytics to grow as well, leading to the development of advanced statistics and machine learning, as well as sport specific technologies that allow for things like game simulations to be conducted by teams prior to play, improve fan acquisition and marketing strategies, and even understand the impact of sponsorship on each team as well as its fans.Another significant impact sports analytics have had on professional sports is in relation to sport gambling.

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