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2015 Forecast: Global Sports Analytics Market Will Reach $4.7 Billion Till Year 2021

Market Research Store releases a new market research report "Sports Analytics Market Shares, Strategies, and Forecasts, Worldwide, 2015 to 2021" to add to its collection of research reports.

 

Deerfield Beach, FL -- (SBWIRE) -- 12/16/2015 -- Sports analytics market size at $125 million in 2014 is anticipated to reach $4.7 billion by 2021. Significant growth is driven by the smart phone and social media in addition to cloud computing market penetration. With smart phones and tablets beginning to get significant uptake all over the world sports analytics play into that market expansion. Growth is a result of sports league and team department efforts.

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Sports analytics market driving forces relate to the ability to improve winning percentages and decrease the cost of paying players. By implementing metrics functions that describe how to put together a winning team without a very high payroll, sports analytics provide a winning edge to team management. Analytics are used to figure out how a team can improve fan appeal.

Sports analytics are used for creating fantasy leagues, giving sports fantasy players access to statistics that enhances their play of the game. It is used to improve scouting, to detect new player unusual talent and evaluate players competitive capability. Using the system, the agent gains competitive advantage with teams when they present analysis about the players they represent.

Shift charts represent an image of changing data. In the chart above, the numbers along the top represent the shifts played during the game.. The black lines represent goals scored and show what line was on the ice offensively and defensively for each goal scored in each period, period one, period two, and period three. Sport analytics are about patterns, detecting patterns and attaching value to them by being able to predict better what players will succeed and what players will do well in a certain system. The patterns apply to teams, to players and to fans.

The data about the sport is relevant in a lot of different ways, some teams are more able than others to harness the patterns to their benefit. Does it make a difference? Do the teams with better analytics win? Apparently so. The MIT sports analytics conference is a testament to the value of technology in sports. In hockey, analytics has been adopted big time, the trend this summer of 2015 has been for NHL clubs to hire bloggers and website operators so their content is proprietary.

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Table of Content

Sports Analytics Executive Summary 28
Sports Analytics Market Driving Forces 29
Sports Analytics Organizational Market Driving Forces 31
Play of the Game 39
Sports Analytics Market Shares 40
Sports Analytics Market Forecasts 41

1. Sports Analytics Market Description and Market Dynamics 43
1.1 All Teams Crunch Numbers 43
1.2 Sports Analytics That Appeal to the Fan Base 44
1.2.1 Hockey Analyses Take Into Account Situations (Even-Strength, Power Play, Shorthanded) 45
1.2.2 Analytics Change the Outcome of the Games 46
1.2.3 Seriously Flawed Sports Analytics 47
1.3 Team Sports Analytics 49
1.3.1 Red Sox Sports Analytics Information Services 49
1.3.2 Red Sox Win the World Series Three Times 52
1.3.3 Red Sox Value Patient Hitters 52
1.3.4 New York Yankees 53
1.3.5 Moneyball Is Alive And Well in Oakland 54
1.3.6 Oakland A's General Manager Billy Beane Moneyball 55
1.3.7 MLB Tampa Bay Rays 58
1.4 Hockey Analytics 59
1.5 Soccer Sports Analytics 62
1.5.1 Liverpool And The Director Of Football 62
1.5.2 Global Football Has Fundamental Shift Going On 63
1.6 NFL Stats Football Analytics 64
1.7 Media Sports Analytics 65
1.8 Auto Racing Stats and Analytics 65
1.9 Spurs of the National Basketball Association 66
1.9.1 NBA Corner Shot For Three Points 67
1.9.2 Resting Aging Stars For Deep Playoff Runs 67
1.9.3 NBA Rockets Team Investment in Analytics 67
1.9.4 Defensive Shifts In Baseball vs. Defensive Shifts in Hockey 68
1.10 MLB Tampa Bay Rays 70
1.11 Dallas Mavericks Basketball Team 71
1.12 NHL Hockey Los Angeles LA Kings 71
1.13 Professional Golfers 73
1.14 Road Cycling 73
1.15 Sports Data Visualization 75
1.15.1 Data Visualization 75
1.15.2 Sports Analytics for Fans 76
1.16 Sports Team Ownership 77

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