MTR: Sports Analytics
Market Shares, Strategies, and Forecasts, Worldwide, 2015-2021
Summary
Lets start with the story of Babe Ruth. The “Babe” used to come
to every at bat with the desire to win the game. So early in the game, aware
that at the end of the game it would fall on him to win the game, the “Babe”
would deliberately strike out on pitches that he really could hit. Later in the
game, the pitcher would remember the pitches that had gotten the “Babe” out and
“Babe Ruth” could hit with ease, winning the game defying the statisticians.
So, Babe Ruth used sports analytics in the 1930’s in reverse, hoping to entice
the pitcher to throw that very pitch he could hit in a tight situation later in
the game. His very success illustrates that in sports analytics sophistication
is needed. For sports analytics to track Babe Ruth, it would have been
necessary to look at the pitches he could hit at the end of the game, not just
everything that came at him. How sophisticated is that? You have to know your
players to do good sports analytics. Babe Ruth is at the center of one of the
sad stories of sporting in Boston. The Boston Red Sox baseball team, in 2003,
had not won a world series since Babe Ruth was sold to New York, the so called
“Curse of the Bambino.” John Henry, a financial analytics wizard came along and
purchased the Boston Red Sox along with other partners and he took the team to
three world series using sports analytics as the dominant force for running the
team and building fan enthusiasm. 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 Get Full Report With Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
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.
Play of the Game is what makes sports entertainment, and the players entertainers. Hockey is a particularly appealing sport because it has so much player contact. It is a contact sport. Some of the better plyers play with finesse. Ovechkin for example, who had 27 even-strength goals this season (fifth in the league) and who scored a league-leading 24 power play goals is fun to watch. He is a premier player because of style and this makes him a fan favorite.
According to principal author of the market research study, “Sports teams have discovered that with intelligent use of sports analytics they can dominate a league. As the early adopters prove that analytics makes the difference between winning and losing, all teams, mangers, and fantasy sports players need to adopt use of the solutions creating market growth opportunities. .”
Get Full Report With Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
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.
Play of the Game is what makes sports entertainment, and the players entertainers. Hockey is a particularly appealing sport because it has so much player contact. It is a contact sport. Some of the better plyers play with finesse. Ovechkin for example, who had 27 even-strength goals this season (fifth in the league) and who scored a league-leading 24 power play goals is fun to watch. He is a premier player because of style and this makes him a fan favorite.
According to principal author of the market research study, “Sports teams have discovered that with intelligent use of sports analytics they can dominate a league. As the early adopters prove that analytics makes the difference between winning and losing, all teams, mangers, and fantasy sports players need to adopt use of the solutions creating market growth opportunities. .”
Get Full Report With Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
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.
Table of
Contents
Sports Analytics Executive Summary 29, Sports
Analytics Market Driving Forces 30, Sports Analytics Organizational Market
Driving Forces 32, Play of the Game 40, Sports Analytics Market Shares 41,
Sports Analytics Market Forecasts 42, 1. Sports Analytics Market Description
and Market Dynamics 44, 1.1 All Teams Crunch Numbers 44, 1.2 Sports Analytics That
Appeal to the Fan Base 45, 1.2.1 Hockey Analyses Take Into Account Situations
(Even-Strength, Power Play, Shorthanded) 46, 1.2.2 Analytics Change the Outcome
of the Games 47, 1.2.3 Seriously Flawed Sports Analytics 48, 1.3 Team Sports
Analytics 50, 1.3.1 Red Sox Sports Analytics Information Services 50, 1.3.2 Red
Sox Win the World Series Three Times 53, 1.3.3 Red Sox Value Patient Hitters
53, 1.3.4 New York Yankees 54, 1.3.5 Moneyball Is Alive And Well in Oakland 55,
1.3.6 Oakland A's General Manager Billy Beane Moneyball 56, 1.3.7 MLB Tampa Bay
Rays 59, 1.4 Hockey Analytics 60, 1.5 Soccer Sports Analytics 63, 1.5.1
Liverpool And The Director Of Football 63, 1.5.2 Global Football Has
Fundamental Shift Going On 64, 1.6 NFL Stats Football Analytics 65, 1.7 Media
Sports Analytics 66, 1.8 Auto Racing Stats and Analytics 66, 1.9 Spurs of the
National Basketball Association 67, 1.9.1 NBA Corner Shot For Three Points 68,
1.9.2 Resting Aging Stars For Deep Playoff Runs 68, 1.9.3 NBA Rockets Team
Investment in Analytics 68, 1.9.4 Defensive Shifts In Baseball vs. Defensive
Shifts in Hockey 69, 1.10 MLB Tampa Bay Rays 71, 1.11 Dallas Mavericks
Basketball Team 72, 1.12 NHL Hockey Los Angeles LA Kings 72, 1.13 Professional
Golfers 74, 1.14 Road Cycling 74, 1.15 Sports Data Visualization 76, 1.15.1
Data Visualization 76, 1.15.2 Sports Analytics for Fans 77, 1.16 Sports Team
Ownership 78, 2. Sports Analytics Market Shares and Market Forecasts 81, 2.1
Sports Analytics Market Driving Forces 82, 2.1.1 Sports Analytics Organizational
Market Driving Forces 84, 2.1.2 Play of the Game 92, 2.1.3 NHL Shift Charts 93,
2.2 Sports Analytics Market Shares 97, 2.2.1 Companies and Media Focused on
Sports Analytics 98, 2.2.2 Stats 105, 2.2.3 Stats / Prozone Describes
Performance 106, 2.2.4 Perform / Opta 106, 2.2.5 OptaPro Portal 107, 2.2.6
TruMedia 107, 2.2.7 Catapult Team 108, 2.2.8 Catapult: National Hockey League
NHL 108, 2.2.9 Catapult Total Revenue 108, 2.2.10 QSTC 109, 2.2.11
Bodybuilding.com 109, 2.2.12 Sportvision 109, 2.2.13 Fox NFL Predictions 111,
2.2.14 Synergy Basketball Designed for Coaches By Coaches 111, 2.3 Sports
Analytics Market Forecasts 112, 2.3.1 Sports Analytics Market Segments 114,
2.3.2 Personal
Get Full Report With
Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
Analytics 118, 2.4 Sports Analytics Regional Market
Analysis 119, 2.4.1 US 120, 3. Sports Analytics Product Description 121, 3.1
STATS 121, 3.1.1 Stats’ SportVU Technology 121, 3.1.2 Stats ICE - Basketball
Operations Solutions 124, 3.1.3 Stats Fantasy Sports 124, 3.1.4 Stats Fantasy
Games 127, 3.1.5 Stats Pick / Predictor Fantasy 127, 3.1.6 Stats Salary Cap
Fantasy 128, 3.1.7 Stats Leagure Stype Fantasy 128, 3.1.8 Stats Commissioner
Fantasy 128, 3.1.9 Stats Bracket Fantasy 129, 3.1.10 Stats' Sports Solutions
Group 129, 3.1.11 Stats Player Tracking 130, 3.1.12 STATS MatchCast 131, 3.1.13
Stats Prozone 135, 3.1.14 Prozone World Cup 2014 135, 3.1.15 Prozone Data,
Information, Insights. 136, 3.1.16 Prozone’s Football Heritage 136, 3.1.17
Prozone Describes Performance 138, 3.1.18 Prozone Opposition Scouting 138,
3.1.19 Prozone Team Analysis 139, 3.1.20 Prozone Physiological Monitoring 139,
3.1.21 Prozone Player Recruitment 141, 3.1.22 Stats Global Network 142, 3.1.23
Stats Strategic Support 142, 3.1.24 Stats Case Studies 143, 3.1.25 Stats
Football 144, 3.1.26 Stats Rugby Union 148, 3.1.27 Stats Rugby League 149, 3.2
Perform / OptaPro 149, 3.2.1 OptaPro VideoHub Elite 150, 3.2.2 OptaPro VideoHub
Elite Competitions Covered 154, 3.2.3 OptaPro Portal 155, 3.2.4 Opta 156, 3.2.5
Opta Sports Data 157, 3.2.6 Opta Sportsbook Predictive Analytics & Data
Modelling 157, 3.2.7 Opta Analytics In Action 157, 3.3 TruMedia Sports
Analytics 161, 3.3.1 TruMedia's MLB Analytics Platform 162, 3.3.2 TruMedia MiLB
Minor League Analytics 163, 3.3.3 TruMedia Soccer Analytics 167, 3.3.4 TruMedia
Crossing Pattern Football Analytics Platform / ESPN 169, 3.4 Sportvision 171,
3.4.1 Sportvision Motorsports Driving Innovation 171, 3.4.2 ESPN Commits to
Sportvision K-Zone Live on Every Pitch for MLB Coverage 174, 3.4.3 SmartSports,
Boston-Based Parent Company of SmartKage, and Sportvision 175, 3.4.4 NHL,
Sportvision Progress in Chip-Based Player Tracking 176, 3.4.5 NHL Website
Advanced Statistics 180, 3.5 Sports Vision Technologies P3ProSwing Professional
Golfers 181, 3.6 Fox What If Embraces Technology as It Redefines Sports
Competition 183, 3.6.1 Fox What If Sports Simulations 184, 3.6.2 Fox Sports
Analytics 185, 3.6.3 STATS LLC Global Sports Statistics 186, 3.6.4 Stats
Quarterbacks 186, 3.4.5 Stats Running Backs 188, 3.4.6 Stats Tackle 188, 3.6.7
FoxSports.com 189, 3.6.8 Foxsports.com / Whatifsports.com 190, 3.6.9
FoxSports.com WhatIfSports.com: Positioned As Sports Simulation Destination
191, 3.6.10 Foxsports NFL Prediction Widgets 191, 3.6.11 Foxsports CFB
Predictions 191, 3.6.12 Foxsports SimMatchup 192, 3.6.13 Foxsports MLB Power
Rankings 193, 3.7 ESPN Analytics 196, 3.7.1 ESPN NFL National Football League
196, 3.7.2 ESPN Major League Baseball Sports Analytics 198, 3.7.3 National
Basketball Association 200, 3.7.4 ESPN Blackhawks Hockey Analytics
Effectiveness 202, 3.7.5 ESPN Stats & Information 205, 3.7.6 ESPN Stats
& Info 206, 3.8 CBS Sports Analytics 206, 3.8.1 St. Louis Blues Coach Ken
Hitchcock Uses Analytics To Help
Get Full Report With
Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
Make Better Line Combinations 208, 3.8.2 NHL Shot
Location Data 211, 3.9 Cognitive Computing Real Time Sports Analytics 212, 3.10
Pro Football Focus 214, 3.10.1 SportVU Football Solutions 214, 3.11 IBM Watson
Cognitive Computing 215, 3.11.1 IBM Golf TryTracker 216, 3.11.2 IBM Grand Slam
Tennis 220, 3.12 Sports Analytics Institute: Player Evaluation System 224,
3.12.1 Sports Analytics Institute Growing an Organization's Sports
Analytics Competency 226, 3.12.2 Sports Analytics Institute: Hockey 227, 3.13
Baseball Swing Analysis 228, 3.13.1 MLB myHits 6 Key Hitting Stages 237, 3.13.2
MLB League Tools and Services 244, 3.14 82games 245, 3.15 Catapult 249, 3.15.1
Catapult Team Customer Base 250, 3.15.2 Catapult Monitoring Elite Athletes 301,
3.16 Real Sports Analytics 306, 3.16.1 Real Sports Analytics Player Performance
Scorecards 307, 3.17 Sports Business Intelligence 311, 3.18 SAS 312, 3.18.1 SAS
Sports Analytics 313, 3.18.2 SAS Customer Intelligence Analytics 313, 3.19 SAP
314, 3.20 Hawk-eye 314, 3.21 Nike+ 316, 3.21.1 Nike Personal Analytics 316,
3.22 QSTC 317, 3.23 Synergy Sports 317, 3.24 CSA – Competitive Sports Analysis
318, 3.25 Sports Analytics Institute 319, 3.25.1 Sports Analytics Institute
Player Evaluation System 319, 3.26 Oracle 321, 3.27 Google Analytics 321,
3.27.1 Google Analytics Used In Loyalty Program 322, 4. Sports Analytics
Technology 323, 4.1 Legislation: UEFA’s Financial Fair Play (FFP), Premier
League’s Elite Player Performance Plan (EPPP) 323, 4.1.1 UEFA’s Financial Fair
Play (FFP) 323, 4.1.2 Elite Player Performance Plan (EPPP) 325, 4.1.3 Elite
Player Performance Plan (EPPP) Focus on Youth Development 329, 4.2 Major League
Baseball MLB Analytics 330, 4.3 US National Football League NFL 332, 4.4 John
Henry Owner of Boston Red Sox Uses Sports Analytics to Win World Series 333,
4.5 Stats Technology 334, 4.5.1 STATS Servers 336, 4.5.2 STATS RESTful API 338,
4.5.3 Stats Interactive 348, 4.6 Sports Analytics Dynamic Architecture 350,
4.6.1 Google Search Engine Dynamic Architecture 352, 4.6.2 BigFiles 353, 4.6.3
Repository 353, 4.6.4 Microsoft .Net Defines Reusable Modules Dynamically 354,
4.6.5 Microsoft Combines Managed Modules into Assemblies 355, 4.6.6 Microsoft
Architecture Dynamic Modular Processing 355, 4.6.7 IBM SOA Architecture is
Dynamic for the Transport Layer 358, 4.7 IBM WebSphere MQ Dynamic Architecture
is Base for SOA 363, 4.8 IBM Software Enterprise Service Bus 364, 4.8.1 IBM ESB
and SOA 365, 4.9 Electromagnetic 12 Sensor 6 DOF Golf System 365, 4.8.2 Golf
Electromagnetic Flexible Screen 368, 4.8.3 Experts Can Note Needed
Improvements, Create Database Of A Person’s Own Swings 368, 5. Sports Analytics
Company Profiles 370, 5.1 Advanced Sports Analytics 371, 5.2 Analytics
Educational 371, 5.3 Associated Press 371, 5.3.1 AP Positioning 372, 5.3.2
Associated Press Not-For-Profit Cooperative 374, 5.4 Bodybuilding.com 377, 5.5
Catapult: NHL Technology Reduces Injuries 378, 5.5.1 Catapult Focused on US
College Sports System 379, 5.5.2 Catapult Data Collection 380, 5.5.3 Catapult
Revenue 380, 5.5.4 Catapult Regional Revenue 381, 5.5.5
Get Full Report With
Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
Catapult Total Revenue 382, 5.5.6 Catapult US: 382,
5.5.7 Catapult EU 382, 5.5.8 Catapult ROW 382, 5.5.9 Catapult Total Units
Ordered 382, 5.5.10 Catapult Player Tracking in Australian Rules Football 384,
5.5.11 Catapult Hockey Player Tracking 384, 5.5.12 Catapult Device 385, 5.5.13
Catapult in the NFL 387, 5.5.14 Catapult Can Help Trainers Understand How Much
Stress Of The Game 388, 5.5.15 Catapult Measuring Intense Play 389, 5.5.16 Big
Wave Surfers Use Catapult to Ready for Event 391, 5.6 Competitive Sports
Analysis 391, 5.7 Major League Baseball (MLB) Teams 392, 5.7.1 MLB.com Digital Academy
Instructional Center 393, 5.7.2 MLB Coaches Corner 394, 5.7.3 Youth Baseball
Leagues 394, 5.7.4 MLB my Hits® 395, 5.7.5 MLB myPitch 396, 5.8 Motor Sports
Analytics 397, 5.9 National Football League (NFL) 397, 5.9.1 AFC-North 398,
5.9.2 AFC-South 398, 5.9.3 AFC-East 399, 5.9.4 AFC-West 399, 5.9.5 NFC-North
400, 5.9.6 NFC-South 401, 5.9.7 NFC-East 401, 5.9.8 NFC-West 402, 5.9.9 NFL
Stats 403, 5.10 Perform / Opta Pro 404, 5.10.1 Opta 405, 5.10.2 Opta Partner
Clients 406, 5.10.3 Opta Partners for Betting 406, 5.10.4 Opta Partners for
Broadcast 407, 5.10.5 Opta Partners for Online and Mobil 408, 5.10.6 Opta
Partners for Print 416, 5.10.7 Perform Revenue 421, 5.10.8 Perform Acquires
Opta 423, 5.11 Ramp Holdings 424, 5.11.1 RAMP Holdings ROI 424, 5.11.2 RAMP Holdings
Capital Investment and Revenue 424, 5.11.3 RAMP Holdings Partners 426, 5.12
SmartSports 427, 5.12.1 SmartSports / Sportvision 428, 5.12.2 Sportvision 430,
5.12.3 MLS Teams Seek Edge With Player-Tracking Technology 432, 5.13 Sports
Vision Technologies 432, 5.14 Statistical Sports Consulting 433, 5.15 Synergy
Sports 433, 5.15.1 Synergy Basketball Designed for Coaches By Coaches 434,
5.15.2 Synergy Changes The Game 434, 5.16 TruMedia Networks 436, 5.16.1 Tony
Khan Acquires Sports Analytics Firm TruMedia Networks 437, 5.16.2 TruMedia
Networks / Detroit Tigers Long Term Licensing Agreement 437, 5.16.3 TruMedia
Partners with Harvard Sports Analysis Collective 439, 5.16.4 Jacksonville
Jaguars Executive Tony Khan makes Strategic Investment in TruMedia Networks
440, 5.16.5 TruMedia Networks Baseball Analytics Site In Partnership With
Journalist Peter Gammons 440, 5.16.6 TruMedia Networks and ESPN Power NFL
Crossing Pattern Analytics Product 440, 5.17 Vista Equity Partners 442, 5.18.1
STATS 442, 5.17.2 Stats Was Part of News Corporation (the parent of
FOXSports.com) and the Associated Press 443, 5.17.3 Stats Customers 446, 5.17.4
STATS / Prozone 448, 5.17.5 Prozone Software Tracks In-Game Player Performance
451, 5.17.6 Stats Revenue 452, 5.17.7 Stats Locations Worldwide 452, 5.17.8
STATS Sports Public Relations 453, 5.17.9 STATS Data And Content Company 454,
5.17.10 Stats Data Centers 454, 5.17.11 Stats Acquisitions 455, 5.17.12 STATS /
Sportz Interactive 456, 5.17.13 STATS Projections for Daily Fantasy Sports 457,
5.17.14 Vista Equity Partners And STATS Acquire Automated Insights 457, 5.17.15
STATS Acquires The Sports
Get Full Report With
Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
Network 457, 5.17.16 STATS Acquires TVTI 457, 5.17.17
STATS Acquires Bloomberg Sports 458, 5.17.18 STATS / Automated Insights 459,
5.18 Sports Analytics Companies 459, 5.18.1 Sports Analytics Vendors 460,
5.18.2 PRINT MEDIA 462, 5.18.3 DIGITAL MEDIA 464, 5.18.4 Television/Video 466,
, List of Tables and Figures, , Table ES-1 31, Types of Organizations Using
Sports Analytics 31, Table ES-2 33, Sports Analytics Market Driving Forces 33,
Table ES-3 34, Sports Analytics Market Driving Factors for Player’s Agents 34,
Table ES-4 35, Sports Analytics Market Aspects 35, Table ES-5 36, Sports
Analytics Market Forces 36, Table ES-6 37, Sports Video Analytics Market
Driving Forces 37, Table ES-7 38, Sports Analytics Fantasy Game Market Driving
Forces 38, Table ES-8 39, Sports Analytics Uses 39, Figure ES-9 40, Sidney
Crosby #87 Of The Pittsburgh Penguins Celebrates A Second Period Goal With
Teammate 40, Figure ES-10 41, Sports Analytics Market Shares, Dollars,
Worldwide, 2014 41, Figure ES-11 43, Sports Analytics Market Forecasts Dollars,
Worldwide, 2015-2021 43, Figure 1-1 47, Hockey Goal Scoring 47, Table 1-2 51,
Owner John Henry and the Red Sox Leverage Sports Analytics 51, Table 1-3 52,
Red Sox Sports Analytics Positioning 52, Figure 1-4 54, Red Sox Value Patient
Hitters 54, Table 1-5 58, Sports Analytics in the Context of Physicality 58,
Figure 1-6 60, Major League Baseball Average Roster Cost Per Win 60, Table 1-7
61, Web Sites Dedicated To Hockey Analytics 61, Figure 1-8 69, Rockets Lowest
Percentage Of Midrange Shots 69, Figure 1-9 71, Major League Baseball Average
Roster Cost Per Win 71, Figure 1-10 73, NHL Hockey Los Angeles LA Kings 73,
Table 1-11 75, Cycling Computer Output 75, Table 1-12 80, Factors that Impact
Ownership Use of Analytics for Sports Management 80, Table 2-1 83, Types of
Organizations Using Sports Analytics 83, Table 2-2 85, Sports Analytics Market
Driving Forces 85, Table 2-3 86, Sports Analytics Market Driving Factors for
Player’s Agents 86, Table 2-4 87, Sports Analytics Market Aspects 87, Table 2-5
88, Sports Analytics Market Forces 88, Table 2-6 89, Sports Video Analytics
Market Driving Forces 89, Table 2-7 90, Sports Analytics Fantasy Game Market
Driving Forces 90, Table 2-8 91, Sports Analytics Uses 91, Figure 2-9 92,
Sidney Crosby #87 Of The Pittsburgh Penguins Celebrates A Second Period Goal
With Teammate 92, Figure 2-10 93, NHL Shift Chart Player Statistics 93, Figure
2-11 94, NHL Shift Chart Goals Scored Line Statistics 94, Figure 2-12 96, NHL
Entire Game Shift Chart 96, Figure 2-13 97, Sports Analytics Market Shares,
Dollars, Worldwide, 2014 97, Table 2-14 98, Sports Analytics Market Shares,
Dollars, Worldwide, 2014 98, Figure 2-15 99, MIT Sloan Sports Analytics
Conference Attendees 99, Table 2-16 100, MIT Sloan Sports Analytics Conference
Attendees 100, Table 2-17 101, Media Using Sports Analytics 101, Table 2-18
103, Digital Media Using Sports Analytics 103, Table 2-19 105, Television /
Video Media Using Sports Analytics 105, Figure 2-20 113, Sports Analytics
Market
Get Full Report With
Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
Forecasts Dollars, Worldwide, 2015-2021 113, Table
2-21 114, Sports Analytics Market Forecasts Dollars, Worldwide, 2015-2021 114,
Table 2-22 115, Sports Analytics Market Segments, Worldwide, Dollars, 2015-2021
115, Figure 2-23 116, Sports Analytics Market Segments, Worldwide, Percent,
2015-2021 116, Table 2-24 117, Sports Analytics Technology Target Markets 117,
Figure 2-25 119, Sports Analytics Regional Market Segments, Dollars, 2014 119,
Table 2-26 120, Sports Analytics Regional Market Segments, 2014 120, Figure 3-1
122, Stats’ SportVU Technology 122, Table 3-2 123, STATS’ SportVU Technology
Target Markets 123, Table 3-3 125, Stats Turn-Key Fantasy Solution Functions:
125, Figure 3-5 130, Stats Fan Experience 130, Table 3-6 134, Stats Leveraging
The Timeline 134, Figure 3-7 150, Opta Sport Analytics Advanced Layer, Next
Level Of Data Provision 150, Figure 3-8 152, Opta VideoHub Elite Data-Led Video
Analysis 152, Table 3-9 153, Opta VideoHub’s Key Strengths 153, Figure 3-10
154, OptaPro VideoHub Elite Competitions Covered 154, Figure 3-11 156,
OptaPro Portal 156, Figure 3-12 158, Opta Cricket Wagon Wheel Graphic,
Created Using Data For BBC Sport 158, Figure 3-13 159, Opta Analytics Charting
Success, Unsuccessful, and Assists 159, Figure 3-14 160, Investec Leveraging Opta
Data Analytics 160, Figure 3-15 162, TruMedia's MLB Analytics Platform 162,
Figure 3-16 163, TruMedia Networks Albert Pujols Batting Pattern 163, Table
3-17 164, TruMedia Analytics Platform Positioning 164, Figure 3-18 165,
TruMedia Heat Zone Analytics 165, Figure 3-19 167, TruMedia Soccer 167, Table
3-20 168, TruMedia's Soccer Analytics Platform League Coverage 168, Figure 3-21
169, ESPN uses TruMedia's Soccer Analytics Platform 169, Table 3-22 170,
TruMedia / ESPN Crossing Pattern NCAA Conferences Covered: 170, Figure 3-23
173, Sportvision Sports Tracked 173, Figure 3-24 177, Sportvision NHL Puck
Tracking System 177, Figure 3-25 179, Sportvision NHL Game Tracking System 179,
Figure 3-26 181, Sports Vision Technologies P3ProSwing In-depth Golf Swing
Analysis 181, Table 3-29 182, Golf Courses Available on P3ProSwing Golf
Analytics Simulator 182, Table 3-30 185, Fox Sports Analytics Types of
Simulations 185, Figure 3-31 193, Foxsports Dream Team SimMatchup 193, Table
3-32 195, Foxsports Whatifsports.com 195, Table 3-33 196, ESPN NFL Top 10
Analytics Use Ranking 196, Table 3-34 198, ESPN Major League Baseball MLB
Analytics Use Ranking 198, Table 3-35 200, ESPN National Basketball Association
NBA Analytics Use Ranking 200, Table 3-36 203, ESPN NHL National Hockey League
Analytics Use Ranking 203, Table 3-37 205, ESPN Insider Knowledge Blog Posts
205, Figure 3-38 208, Hockey Analytics To Help Make Better Line Combinations
208, Table 3-39 210, Analytics Use as a Coaching Tool 210, Table 3-40 211, NHL
Team Activities That Depend On Analytics 211, Table 3-41 212, Cognitive
Computing Real Time Sports Analytics 212, Table 3-42 213, Cognitive Computing
Sports Analytics Functions
Get Full Report With
Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
213, Figure 3-43 218, IBM Augusta National Golf Try
Tracker 218, Figure 3-44 219, IBM Predictive Analytics Technology Used In Rugby
219, Figure 3-45 221, IBM Sports Analytics Tennis Slam Tracker 221, Figure 3-46
222, IBM Sports Analytics Player Tracker 222, Figure 3-47 222, IBM Sports
Analytics Tennis Stats COmparisons 222, Figure 3-48 223, IBM Sports Analytics
Tennis Set Comparisons 223, Figure 3-49 223, IBM Sports Analytics Tennis Keys
to the Match Tracker 223, Figure 3-50 224, Sports Analytics Institute Player
Lifetime Value Evaluation System Components 224, Table 3-51 225, Sports
Analytics Institute Player Evaluation System Stages 225, Figure 3-52 228, Major
League Baseball MLB Baseball Swing Analysis 228, Figure 3-53 238, 6 Key Hitting
Stages 238, Table 3-54 239, Baseball Key Hitting Stages 239, Figure 3-55 240,
Teaching Young Players Analytics 240, Figure 3-56 242, MLB Hitting Analytics
for Young Players, Comparison to Big League Hitting Stars 242, Table 3-57 245,
MLB.com Digital Academy Youth League Management Tools And Instructional
Resources 245, Table 3-58 246, 82games Types of Basketball Numbers 246, Table
3-59 247, 82games Stats Collected on Each Player in a Game 247, Table 3-60 251,
Catapult Team Customer Base 251, Table 3-61 302, Catapult for Coaches Providing
Scientifically-Validated Metrics on Athlete Performance 302, Figure 3-62 307,
Real Sports Analytics Player Performance Scorecard 307, Figure 3-63 308, Real
Sports Analytics Player Detail View 308, Figure 3-64 309, Real Sports Analytics
Player Weekly Performance Scorecard 309, Table 3-65 310, Real Sports Analytics
Game Metric Player Measure 310, Figure 3-66 311, Real Sports Analytics Player
Color Coded Performance Scorecard 311, Table 3-67 313, SAS Sports Analytics
Functions 313, Table 3-68 315, Hawk-eye Sports Analytics Features 315, Table
3-69 319, Sports Analytics Institute Player Evaluation System Features 319,
Table 3-70 322, Google Analytics Used In Loyalty Program 322, Table 4-1 324,
UEFA’s Financial Fair Play (FFP) 324, Table 4-2 326, Elite Player Performance
Plan (EPPP) Fundamental Principles: 326, Table 4-3 327, Elite Player
Performance Plan (EPPP) Focus Areas 327, Table 4-4 328, Elite Player
Performance Plan (EPPP) Grading Factors 328, Table 4-5 330, Key Areas of EPPP
Focus 330, Table 4-6 331, Major League Baseball MLB Streaming Media Analytics
Functions 331, Figure 4-7 334, Stats Data Center Technology 334, Table 4-8 335,
STATS Data Delivery Protocols: 335, Table 4-9 336, STATS Servers Modules 336,
Figure 4-10 337, Stats Content Delivery 337, Figure 4-11 337, Oracle Powers
Stats Databases 337, Figure 4-12 339, Stats Secure Connection 339, Table 4-13
340, Stats Information Provided 340, Table 4-14 341, Stats Sports Covered 341,
Table 4-15 342, Stats Sports Leagues Covered 342, Table 4-16 349, Stats Interactive
Functionality 349, Table 4-17 350, Google Dynamic Architecture 350, Figure 4-18
354, Microsoft .Net Dynamic Definition of Reusable Modules 354, Figure 4-19
356, Microsoft .NET Compiling Source Code
Get Full Report With
Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
into Managed Assemblies 356, Figure 4-20 357,
Microsoft Architecture Dynamic Modular Processing 357, Table 4-21 359, Process
Of SOA Implementation Depends On N-Dimensional Interaction Of Layers That Can
Be Modeled by Business Analyst 359, Table 4-22 360, IBM SOA Business I Services
Layers 360, Figure 4-23 361, IBM Smart SOA Continuum 361, Table 4-24 362, SOA
Foundation Reference Architecture 362, Figure 4-25 363, IBM WebSphere MQ WMQ
Providing a Universal Messaging Backbone 363, Figure 4-26 367, Golf Swing
Analyzer 367, Table 4-27 369, Golf Biomechanics Report Features: 369, Table 5-1
370, Motion Measurement Analysis Functions 370, Figure 5-2 373, AP Global Reach
Statistics
Get Full Report With
Table Of Contents at http://marketstoreports.com/products/sports-analytics-market-shares-strategies-and-forecasts-worldwide-2015-2021-market-research-report
About Us:
Markets to Reports is an effort to assist
you with the required market intelligence statistics matching your specific
requirements linked to various products, industries, services, companies and
trends etc. We partner with the best of the publishers across the globe
updating our database on a real time basis giving you easy access to the
information that you are interested in. We cater to conglomerates ranging from
start-ups to mid-size to Fortune 500 companies.
Our database of reports focus on various verticals/domains
including IT, Telecom & Networking, Engineering & Automation, Food
& Retail, Healthcare, Chemical, Energy, etc.
Your success is our accomplishment!
For More Information –
Please call us or write to us:
UK: +44-333-011-9100
Email: sales@marketstoreports.com
Follow Us –
Browse Blog at http://marketstoreports.blogspot.com
Browse Blog at http://marketstoreports.wordpress.com/
Thank you..please visit our website www.marketstoreports.com
ReplyDelete