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Published: Sep, 2017 | Pages:
557 | Publisher: WinterGreen Research
Industry: ICT | Report Format: Electronic (PDF)
Worldwide sports analytics markets are poised to achieve significant growth as the coaches and players leverage information collected from sensors. Teams can realize significant competitive advantage by utilizing analytics capability effectively. All teams use analytics. Tablets and smart phone communications systems make training information more cogent and more available, remaking all sport management everywhere. Video capability has been extended with analytics that provide automated capture of noteworthy player and team play events. Information services leverage automated process to make analytics more useful for fan sports enjoyment enhancement and to provide more useful information for fantasy players. The value of sports analytics relates to the predictive capabilities provided. The best sports teams are the ones using the power of real-time information to their advantage. All teams use analytics, some are more able to integrate analytics into the decision-making process in a way that wins games. Real time information is a world of its own, some teams and players are able to integrate real time information. The gamblers are prevented from gaming the analytics systems. Fraud is more easily detected and prevented. Fantasy sports players use the analytics systems. 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 Sports analytics has become the model for predictive sports business decision making. The sports business has been reorganized among teams, inspired by sports analytics. Analytics are finding innovative use in sports, leading to models for organizing and managing teams. 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. 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. 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. Sports 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. 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 Susan Eustis, 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 make the difference between winning and losing, all teams, mangers, and fantasy sports players have adopted use of the solutions creating market growth opportunities.” Sports analytics market size at $764.3 million in 2016 is anticipated to reach $15.5 billion by 2023. Significant growth is driven by the ability to improve coaching, provide players with specific strategies for improving performance, preventing fraud in wagering situations, and leveraging smart phone and social media to process information about performance improvement. Fans thrive on having more information about a game they are watching. Mega data center cloud computing market penetration is building a base for process improvemenets. With smart phones and tablets beginning to get significant uptake all over the world sports analytics play into that market expansion. Companies Profiled Market Leaders • Sportradar AG • Perform / Opta • Stats / Prozone • Formula 1 • Catapult • TruMedia • Sportvision Market Participants • Advanced Sports Analytics • Analytics Educational • Associated Press • Bodybuilding.com • Bulz • Catapult: NHL Technology Reduces Injuries • CBS Sports Analytics • Competitive Sports Analysis • Formula One • Fox What If Embraces Technology as It Redefines Sports Competition • Google Analytics • Kinduct Athlete Management System • Major League Baseball (MLB) Teams • Motor Sports Analytics • National Football League (NFL) • Nike+ • Oracle • Perform / Opta Pro • QSTC • Ramp Holdings • Second Spectrum • SmartSports • Sports Analytics Institute • Sportradar AG • Sports Media Technology (SMT) / Sportvision • Sports Vision Technologies • Statistical Sports Consulting • Synergy Sports • Vista Equity Partners / STATS • TruMedia Networks • Zebra Technologies Sports Solutions Key Topics • Smart Analytics Products • Sports Analysis Software • Sports Health Consultant • Sports Medicine Clinic • Sports Video Analysis Software • Sports Software • Sports Performance • Video Analysis Software • Baseball Swing Analysis Software • Golf Swing Analysis Software • Motion Analysis Software • Football Analysis Software • Soccer Analysis Software • Sports Cloud Architecture • Sports Analysis Mobile Architecture • SOA • Cloud Computing • Sports • Sports Planning • Sports Training • Sports Coaching • Sports Winning • Sports Player Selection • Sports Betting • Sports Fantasy Games • Sports Application Middleware • Sports Analysis Forecasts • Sports Analysis Market Shares • Sports Analysis Web Services • SOA Governance • SOA ESB • SOA Repository • SOA Directory • SOA Advances In Technology • Services Oriented Architecture (SOA) • Flexible Applications • Middleware • Application Service Levels • Sports Analytics Flexible Response To Changing Market Conditions • Innovation For Leagues • Sports Management Innovation For Team • Sports Management Innovation • Sports Software Localization
Table of Contents Sports Analytics Executive Summary 31 Sports Analytics Market Driving Forces 32 Football Challenged By Deleterious Effects Of Concussions 33 Games and Training Produce Sample Of Data To Analyze 33 Sports Analytics Organizational Market Driving Forces 35 Play of the Game 42 NHL Shift Charts 43 Sports Analytics Market Shares 48 Sports Analytics Market Forecasts 49 1. Sports Analytics Market Description and Market Dynamics 51 1.1 All Teams Crunch Numbers 51 1.2 Sports Analytics That Appeal to the Fan Base 52 1.2.1 Hockey Analyses Take Into Account Situations (Even-Strength, Power Play, Shorthanded) 53 1.2.2 Analytics Change the Outcome of the Games 54 1.2.3 Seriously Flawed Sports Analytics 55 1.3 Team Sports Analytics 57 1.3.1 Red Sox Sports Analytics Information Services 57 1.3.2 Red Sox Win the World Series Three Times 60 1.3.3 Red Sox Value Patient Hitters 60 1.3.4 New York Yankees 62 1.3.5 Moneyball Is Alive And Well in Oakland 62 1.3.6 Oakland A's General Manager Billy Beane Moneyball 63 1.3.7 MLB Tampa Bay Rays 66 1.4 Hockey Analytics 67 1.5 Soccer Sports Analytics 70 1.5.1 Liverpool And The Director Of Football 71 1.5.2 Global Football Has Fundamental Shift Going On 71 1.6 NFL Football Analytics 72 1.7 Media Sports Analytics 73 1.8 Auto Racing Stats and Analytics 73 1.9 National Basketball Association NBA Champion Golden State Warriors 74 1.9.1 NBA Corner Shot For Three Points 75 1.9.2 Resting Aging Stars For Deep Playoff Runs 76 1.9.3 NBA Team Investment in Analytics 77 1.9.4 Defensive Shifts In Baseball vs. Defensive Shifts in Hockey 78 1.10 MLB Tampa Bay Rays 80 1.11 Dallas Mavericks Basketball Team 81 1.12 NHL Hockey Los Angeles LA Kings 81 1.13 Professional Golfers 82 1.14 Road Cycling 83 1.15 Sports Data Visualization 84 1.15.1 Data Visualization 85 1.15.2 Sports Analytics for Fans 86 1.16 Sports Team Ownership 87 2. Sports Analytics Market Shares and Market Forecasts 90 2.1 Sports Analytics Market Driving Forces 91 2.1.1 Football Challenged By Deleterious Effects Of Concussions 92 2.1.2 Games and Training Produce Sample Of Data To Analyze 92 2.1.2 Sports Analytics Organizational Market Driving Forces 94 2.1.3 Play of the Game 102 2.1.4 NHL Shift Charts 103 2.2 Sports Analytics Market Shares 107 2.2.1 Companies and Media Focused on Sports Analytics 109 2.2.2 Sportradar 116 2.2.3 Sportradar Supports Bookmakers 118 2.1.3 Michael Jordan and Mark Cuban Are Betting That Sportradar Will Triumph 119 2.2.4 Stats Lost the NFL Deal to Sportradar 119 2.2.5 Losing the NFL, Stats Focuses On Player-Tracking, Fantasy 119 2.2.6 Stats Fantasy 120 2.2.7 Stats / Prozone Describes Performance 121 2.2.8 Perform / Opta 121 2.2.9 Perform / OptaPro Portal 122 2.2.10 TruMedia 123 2.2.11 Catapult Team 123 2.2.12 Catapult: National Hockey League NHL 123 2.2.13 Catapult Total Revenue 123 2.2.14 Sportvision 124 2.2.15 Fox NFL Predictions 125 2.2.16 Synergy Basketball Designed for Coaches By Coaches 126 2.1.4 Sports Analytics Market Segments, High End, Mid Range, and Low End 126 2.3 Sports Analytics Market Forecasts 128 2.3.1 Sports Analytics Market Shares, Units, Worldwide, 2016 132 2.3.2 Sports Analytics Market Segments 132 2.3.3 Personal Analytics 137 2.3.4 Player Performance 138 2.3.5 Revenue by Sports League 139 2.3.6 Fantasy Sports: A $1.7B Industry By 2017 152 2.3.7 Sports Analytics Branding 153 2.3.8 Sports Analytics Betting Tools 153 2.4 Youth Sports Analytics Market Trends 154 2.4.1 Data Center Fabric, The Next-Generation Facebook Data Center Network 156 2.4.2 AWS Improving Continuity Replication Between Regions 156 2.4.3 Amazon AWS Step Functions Software 157 2.4.4 AWS Network Scale 159 2.4.5 Youth Team Sports Software Analytics 160 2.4.6 Video Analytics Are Key To Growth On Youth Team Sports Market 160 2.4.7 Youth Sports Development Programs 161 2.4.8 Youth Team Sports Software Company Acquisitions 162 2.4.9 Protecting the Money Collected for a Youth Sports League 165 2.4.10 Team Sports Financial Reporting 166 2.4.11 Youth Team, League, and Tournament Sports Software Number Employees vs. Revenue Analysis, Number Employees, Dollars per Employee 168 2.5 Sports Analytics Pass Pricing 169 2.5.1 Stats Sports Analytics Pass Pricing 169 2.5.2 Sportradar AG Regular Season Pricing 173 2.6 Sports Analytics Regional Market Analysis 174 2.6.1 US 175 2.6.2 China 175 3. Sports Analytics Product Description 176 3.1 Sportradar AG 176 3.1.1 Sportradar US Subsidiary 176 3.1.2 Sportradar Partnership with German Football Association 176 3.1.3 Sportradar Fraud Prevention Service (FPS) 177 3.1.4 Organized Crime And Match-Fixing Have A Detrimental Effect On Sport 177 3.1.5 Sportradar Official Data Collector / Distributor Of NBA 178 3.1.6 Sportradar Million-Dollar NBA Deal 182 3.1.7 Sportradar OTT platform 186 3.2 STATS 189 3.2.1 Stats Focus On Player-Tracking, Fantasy 190 3.2.2 Stats Focus On Player-Tracking, Fantasy 194 3.2.3 Stats Attract And Engage Sports Fans With Stats Solutions 194 3.2.4 STATS Fantasy Baseball 195 3.2.5 Stats Fantasy Sports 197 3.2.6 Stats Fantasy Games 200 3.2.7 Stats Pick / Predictor Fantasy 200 3.2.8 Stats Salary Cap Fantasy 201 3.2.9 Stats Leagure Stype Fantasy 201 3.2.10 Stats Commissioner Fantasy 201 3.2.11 Stats Bracket Fantasy 202 3.2.12 Stats Brand Activation and Custom Development 202 3.2.13 Stats’ SportVU Technology 204 3.2.14 Stats ICE - Basketball Operations Solutions 207 3.2.15 Stats' Sports Solutions Group 207 3.2.16 Stats Player Tracking 208 3.2.17 Stats Player Tracking Metrics 210 3.2.18 STATS MatchCast 213 3.2.19 Stats Prozone 216 3.2.20 Prozone World Cup 2014 218 3.2.21 Stats Historical Sports Data 218 3.2.22 Stats Prozone Data, Information, Insights. 221 3.2.23 Prozone Describes Performance 223 3.2.24 Prozone Opposition Scouting 223 3.2.25 Prozone Team Analysis 224 3.2.26 Prozone Physiological Monitoring 224 3.2.27 Prozone Player Recruitment 226 3.2.28 Stats Global Network 227 3.2.29 Stats Strategic Support 227 3.2.30 Stats Case Studies 228 3.2.31 Stats Football 229 3.2.32 Stats Rugby Union 232 3.2.33 Stats Rugby League 233 3.3 Perform / OptaPro 234 3.3.1 OptaPro VideoHub Elite 236 3.3.2 Opta VideoHub Elite Data-Led Video Analysis 237 3.3.3 OptaPro VideoHub Elite Competitions Covered 240 3.3.4 OptaPro Portal 241 3.3.5 Opta 242 3.3.6 Opta Sports Data 243 3.3.7 Opta Sportsbook Predictive Analytics & Data Modelling 243 3.3.8 Opta Analytics In Action 243 3.4 TruMedia Networks Sports Analytics 247 3.4.1 TruMedia's MLB Analytics Platform 248 3.4.2 TruMedia MiLB Minor League Analytics 249 3.4.3 TruMedia Soccer Analytics 253 3.4.4 TruMedia Crossing Pattern Football Analytics Platform / ESPN 255 3.5 SMT / Sportvision 257 3.5.1 SMT Sportvision 257 3.5.2 Sportvision Motorsports, Golf, and Hockey Products 259 3.5.3 Sportvision Baseball 259 3.5.4 SMT Development Deals with NBA, NHL, PGA Tour 261 3.5.5 Sportvision Motorsports Driving Innovation 261 3.5.6 ESPN Commits to Sportvision K-Zone Live on Every Pitch for MLB Coverage 264 3.5.7 SmartSports, Boston-Based Parent Company of SmartKage, and Sportvision 265 3.5.8 NHL, Sportvision Progress in Chip-Based Player Tracking 266 3.5.9 NHL Website Advanced Statistics 270 3.6 Sports Vision Technologies P3ProSwing Professional Golfers 271 3.7 Cognitive Computing Real Time Sports Analytics 274 3.8 Pro Football Focus 275 3.8.1 SportVU Football Solutions 276 3.9 IBM Watson Cognitive IoT Sports Analytics 277 3.9.1 IBM Golf TryTracker 279 3.9.2 IBM Grand Slam Tennis 283 3.10 82games 287 3.11 Catapult 290 3.11.1 Catapult Team Customer Base 291 3.11.2 Catapult Monitoring Elite Athletes 292 3.12 Real Sports Analytics 297 3.12.1 Real Sports Analytics Player Performance Scorecards 298 3.13 Sports Business Intelligence 302 3.14 SAS 302 3.14.1 SAS Sports Analytics 303 3.14.2 SAS Customer Intelligence Analytics 304 3.15 SAP 304 3.16 Hawk-eye 304 3.17 QSTC 305 3.18 Synergy Sports 306 3.19 CSA – Competitive Sports Analysis 306 3.20 Oracle 307 3.21 Google Analytics 307 3.21.1 Google Analytics Used In Loyalty Program 308 3.22 Second Spectrum 308 3.22.1 Second Spectrum Video 309 3.22.2 Second Spectrum Reports 312 3.22.3 Second Spectrum Insights 312 3.22.4 Second Spectrum Tracking 315 3.23 Zebra 317 3.23.1 Zebra Athlete Performance Tracking 318 3.23.2 Zebra Sports Coaching and Training 318 3.23.3 Zebra Sports Fan Enhancement 318 3.23.4 Zebra Sports NFL Partnership Kinduct Athlete Management System 319 3.24 Kinduct Athlete Management System 320 4. Sports Analytics Technology 322 4.1 Sports Analytics Technology and Elite Player Performance 322 4.1.1 Legislation: UEFA’s Financial Fair Play (FFP), Premier League’s Elite Player Performance Plan (EPPP) 322 4.1.2 UEFA’s Financial Fair Play (FFP) 323 4.1.3 Elite Player Performance Plan (EPPP) 324 4.1.4 Elite Player Performance Plan (EPPP) Focus on Youth Development 328 4.2 Major League Baseball MLB Analytics 329 4.3 US National Football League NFL 331 4.4 John Henry Owner of Boston Red Sox Uses Sports Analytics to Win World Series 332 4.5 Stats Technology 333 4.5.1 STATSports MAPPS (Multiple Augmented Performance Positional System) Technology 333 4.5.2 Apex Indoor Positioning 334 4.5.3 Stats Data Center Technology 335 4.5.4 STATS Servers 337 4.5.5 STATS RESTful API 339 4.5.6 Stats Interactive 349 4.6 Sports Analytics Dynamic Architecture 351 4.6.1 Google Search Engine Dynamic Architecture 353 4.6.2 BigFiles 354 4.6.3 Repository 354 4.6.4 Microsoft .Net Defines Reusable Modules Dynamically 355 4.6.5 Microsoft Combines Managed Modules into Assemblies 356 4.6.6 Microsoft Architecture Dynamic Modular Processing 356 4.6.7 IBM SOA Architecture is Dynamic for the Transport Layer 359 4.7 IBM WebSphere MQ Dynamic Architecture is Base for SOA 364 4.8 IBM Software Enterprise Service Bus 366 4.8.1 IBM ESB and SOA 367 4.9 Data Center Fabric, The Next-Generation Facebook Data Center Network367 4.9.1 Cloud 2.0 Mega Data Centers 368 4.10 Electromagnetic 12 Sensor 6 DOF Golf System 369 4.10.1 Golf Electromagnetic Flexible Screen 372 4.10.2 Experts Can Note Needed Improvements, Create Database Of A Person’s Own Swings 372 4.11 Motion Measurement Analysis Functions 374 5. Sports Analytics Company Profiles 375 5.1 Advanced Sports Analytics 375 5.2 Analytics Educational 375 5.3 Associated Press 376 5.3.1 AP Positioning 377 5.3.2 Associated Press Not-For-Profit Cooperative 378 5.4 Bodybuilding.com 382 5.5 Bulz 383 5.6 Catapult: NHL Technology Reduces Injuries 384 5.6.1 Catapult Sports GPS Sports Data In Demand 385 5.6.2 Catapult Focused on US College Sports System 387 5.6.3 Catapult Data Collection 387 5.6.4 Catapult Regional Revenue 388 5.6.5 Catapult Player Tracking in Australian Rules Football 389 5.6.6 Catapult Hockey Player Tracking 389 5.6.7 Catapult Device 390 5.6.8 Catapult in the NFL 393 5.6.9 Catapult Can Help Trainers Understand How Much Stress Of The Game 394 5.6.10 Catapult Measuring Intense Play 395 5.6.11 Big Wave Surfers Use Catapult to Ready for Event 397 5.7 CBS Sports Analytics 397 5.7.1 St. Louis Blues Coach Ken Hitchcock Uses Analytics To Help Make Better Line Combinations 398 5.7.2 NHL Shot Location Data 402 5.8 Competitive Sports Analysis 404 5.9 Formula One 405 5.10 Fox What If Embraces Technology as It Redefines Sports Competition 406 5.10.1 Fox What If Sports Simulations 407 5.10.2 Fox Sports Analytics 408 5.10.3 STATS LLC Global Sports Statistics 408 5.10.4 Stats Quarterbacks 409 5.10.5 Stats Running Backs 411 5.10.6 Stats Tackle 411 5.10.7 FoxSports.com 412 5.10.8 Foxsports.com / Whatifsports.com 413 5.10.9 FoxSports.com WhatIfSports.com: Positioned As Sports Simulation Destination 414 5.10.10 Foxsports NFL Prediction Widgets 414 5.10.11 Foxsports CFB Predictions 414 5.10.12 Foxsports SimMatchup 415 5.10.13 Foxsports MLB Power Rankings 416 5.11 Google Analytics 418 5.11.1 Google Analytics Used In Loyalty Program 418 5.12 Kinduct Athlete Management System 419 5.13 Major League Baseball (MLB) Teams 421 5.13.1 MLB.com Digital Academy Instructional Center 421 5.13.2 MLB Coaches Corner 422 5.13.3 Youth Baseball Leagues 423 5.13.4 MLB my Hits® 423 5.13.5 MLB myPitch 424 5.13.6 Baseball Swing Analysis 425 5.13.7 MLB myHits 6 Key Hitting Stages 435 5.13.8 MLB League Tools and Services 442 5.14 Motor Sports Analytics 444 5.15 National Football League (NFL) 444 5.15.1 AFC-North 444 5.15.2 AFC-South 445 5.15.3 AFC-East 446 5.15.4 AFC-West 446 5.15.5 NFC-North 447 5.15.6 NFC-South 447 5.15.7 NFC-East 448 5.15.8 NFC-West 449 5.15.9 NFL Stats 450 5.16 Nike+ 450 5.16.1 Nike Personal Analytics 451 5.17 Oracle 451 5.18 Perform / Opta Pro 452 5.18.1 Perform Group Revenue 452 5.18.2 Opta 455 5.18.3 Opta Partner Clients 455 5.18.4 Opta Partners for Betting 456 5.18.5 Opta Partners for Broadcast 457 5.18.6 Opta Partners for Online and Mobil 458 5.18.7 Opta Partners for Print 466 5.18.8 Perform Revenue 470 5.18.9 Perform Acquires Opta 472 5.19 QSTC 473 5.20 Ramp Holdings 473 5.20.1 RAMP Holdings ROI 473 5.20.2 RAMP Holdings Capital Investment and Revenue 474 5.20.3 RAMP Holdings Partners 475 5.21 Second Spectrum 477 5.22 SmartSports 478 5.22.1 SmartSports / Sportvision 479 5.22.2 Sportvision 481 5.22.3 MLS Teams Seek Edge With Player-Tracking Technology 483 5.23 Sports Analytics Institute 483 5.23.1 Sports Analytics Institute Player Evaluation System 484 5.23.2 Sports Analytics Institute Growing an Organization's Sports Analytics Competency 486 5.23.3 Sports Analytics Institute: Hockey 486 5.24 Sportradar AG 487 5.25 Sports Media Technology (SMT) / Sportvision 491 5.25.1 SMT's Credentials 492 5.26 Sports Vision Technologies 493 5.27 Statistical Sports Consulting 493 5.28 Synergy Sports 494 5.28.1 Synergy Basketball Designed for Coaches By Coaches 495 5.28.2 Synergy Changes The Game 495 5.29 Vista Equity Partners 496 5.29.1 Vista Equity Partners STATS 497 5.29.2 Stats 498 5.29.3 Stats Was Part of News Corporation (the parent of FOXSports.com) and the Associated Press 501 5.29.4 Stats Companies 502 5.29.5 Stats Customers 504 5.29.6 STATS / Prozone 506 5.29.7 Prozone Software Tracks In-Game Player Performance 509 5.29.8 Stats Revenue 510 5.29.9 Stats Locations Worldwide 510 5.29.10 STATS Sports Public Relations 511 5.29.11 STATS Data And Content Company 512 5.29.12 Stats Data Centers 512 5.29.13 Stats Acquisitions 513 5.29.14 STATS / Sportz Interactive 514 5.29.15 STATS Projections for Daily Fantasy Sports 515 5.29.16 Vista Equity Partners And STATS Acquire Automated Insights 515 5.29.17 STATS Acquires The Sports Network 515 5.29.18 STATS Acquires TVTI 515 5.29.19 STATS Acquires Bloomberg Sports 515 5.29.20 STATS / Automated Insights 516 5.30 TruMedia Networks 517 5.30.1 Tony Khan Acquires Sports Analytics Firm TruMedia Networks 518 5.30.2 TruMedia Networks / Detroit Tigers Long Term Licensing Agreement 518 5.30.3 TruMedia Partners with Harvard Sports Analysis Collective 520 5.30.4 Jacksonville Jaguars Executive Tony Khan makes Strategic Investment in TruMedia Networks 521 5.30.5 TruMedia Networks Baseball Analytics Site In Partnership With Journalist Peter Gammons 521 5.30.6 TruMedia Networks and ESPN Power NFL Crossing Pattern Analytics Product 523 5.31 Zebra Technologies Sports Solutions 525 5.31.1 Zebra / NFL Partnership 527 5.32 Sports Analytics Companies 527 5.32.1 Sports Analytics Vendors 528 5.32.2 PRINT MEDIA 530 5.32.3 DIGITAL MEDIA 531 5.32.4 Television/Video 533
List of Figures Figure 1. Types of Organizations Using Sports Analytics 34 Figure 2. Sports Analytics Market Driving Forces 36 Figure 3. Sports Analytics Market Driving Factors for Player’s Agents 36 Figure 4. Sports Analytics Market Aspects 37 Figure 5. Sports Analytics Market Forces 38 Figure 6. Sports Video Analytics Market Driving Forces 39 Figure 7. Sports Analytics Fantasy Game Market Driving Forces 40 Figure 8. Sports Analytics Uses 41 Figure 9. Sidney Crosby #87 Of The Pittsburgh Penguins Celebrates A Second Period Goal With Teammate 43 Figure 10. NHL Shift Chart Player Statistics 44 Figure 11. NHL Shift Chart Goals Scored Line Statistics 45 Figure 12. NHL Entire Game Shift Chart 47 Figure 13. Sports Analytics Market Shares, Dollars, Worldwide, 2016 48 Figure 14. Sports Analytics Market Forecasts Dollars, Worldwide, 2017-2023 50 Figure 15. Hockey Goal Scoring 54 Figure 16. Owner John Henry and the Red Sox Leverage Sports Analytics 58 Figure 17. Red Sox Sports Analytics Positioning 59 Figure 18. Red Sox Value Patient Hitters 61 Figure 19. Sports Analytics in the Context of Physicality 65 Figure 20. Major League Baseball Average Roster Cost Per Win 67 Figure 21. Web Sites Dedicated To Hockey Analytics 68 Figure 22. Steph Curry Stats 75 Figure 23. Rockets Lowest Percentage Of Midrange Shots 77 Figure 24. Major League Baseball Average Roster Cost Per Win 80 Figure 25. NHL Hockey Los Angeles LA Kings 81 Figure 26. Cycling Computer Output 83 Figure 27. Factors that Impact Ownership Use of Analytics for Sports Management 89 Figure 28. Types of Organizations Using Sports Analytics 94 Figure 29. Sports Analytics Market Driving Forces 95 Figure 30. Sports Analytics Market Driving Factors for Player’s Agents 96 Figure 31. Sports Analytics Market Aspects 97 Figure 32. Sports Analytics Market Forces 98 Figure 33. Sports Video Analytics Market Driving Forces 99 Figure 34. Sports Analytics Fantasy Game Market Driving Forces 100 Figure 35. Sports Analytics Uses 101 Figure 36. Sidney Crosby #87 Of The Pittsburgh Penguins Celebrates A Second Period Goal With Teammate 102 Figure 37. NHL Shift Chart Player Statistics 103 Figure 38. NHL Shift Chart Goals Scored Line Statistics 104 Figure 39. NHL Entire Game Shift Chart 106 Figure 40. Sports Analytics Market Shares, Dollars, Worldwide, 2016 107 Figure 41. Sports Analytics Market Shares, Dollars, Worldwide, 2016 108 Figure 42. MIT Sloan Sports Analytics Conference Attendees 109 Figure 43. MIT Sloan Sports Analytics Conference Attendees 109 Figure 44. Selected Media Using Sports Analytics 112 Figure 45. Digital Media Using Sports Analytics 114 Figure 46. Television / Video Media Using Sports Analytics 116 Figure 47. Sportradar AG Services 118 Figure 48. Sports Analytics Market Segments, High End, Mid Range, and Low End, Dollars, Worldwide, 2016 126 Figure 49. Sports Analytics Market Shares, Dollars, Worldwide, 2016 128 Figure 50. Sports Analytics Market Forecasts Dollars, Worldwide, 2017-2023 129 Figure 51. Sports Analytics Market Forecasts Dollars, Worldwide, 2017-2023 130 Figure 52. Sports Analytics Market Shares, Units, Worldwide, 2016 132 Figure 53. Sports Analytics Market Segments Worldwide, Fantasy Sports / Media / Fans, Wagering, Player Development, Coaching, Teams and Leagues, Market Forecasts, Dollars, 2017-2023 133 Figure 54. Sports Analytics Market Segments Worldwide, Fantasy Sports / Media / Fans, Wagering, Player Development, Coaching, Teams and Leagues, Market Forecasts, Percent, 2017-2023 134 Figure 55. Sports Analytics Segments 136 Figure 56. Sports Analytics Technology Target Markets 137 Figure 57. Top Sports Leagues In Revenue 140 Figure 58. Revenue by Sports League 141 Figure 59. Digitization of Sports Market Trends 155 Figure 60. Youth League Sports Software Revenue Model Market Factors 163 Figure 61. Youth League Sports Software Market Demands 164 Figure 62. Team Sports HQ Reporting Functions 166 Figure 63. Team Sports Payments and Order Tracking Functions 167 Figure 64. Efficiency Of The Various Software Providers, Revenue per Employee 168 Figure 65. Sportradar AG Fantasy Data 173 Figure 66. Sports Analytics Regional Market Segments, Dollars, 2016 174 Figure 67. Sports Analytics Regional Market Segments, 2016 175 Figure 68. Sportradar Positioned To Support Efforts To Grow And Transform Sports 179 Figure 69. Sportradar Target Markets 180 Figure 70. Sportradar Sports-Tech Market in the U.S 181 Figure 71. Stats Solutions to Attract and Engage Sports Fans 194 Figure 72. STATS’ SportVU Technology Target Markets 205 Figure 73. Stats Fan Experience 208 Figure 74. Stats Portable Beacons for Player Tracking 208 Figure 75. Stats Player Tracking Metrics 210 Figure 76. Stats Leveraging The Timeline 216 Figure 77. Stats Teams and Leagues Sports Tracked 217 Figure 78. Stats Historical Sports Data 219 Figure 79. STATS Sports Data Feeds Trusted Content Modes 220 Figure 80. Opta Sport Analytics Advanced Layer, Next Level Of Data Provision 235 Figure 81. Opta Pro Using Data And Analytics To Support On-Field Performance 235 Figure 82. Opta VideoHub’s Key Strengths 239 Figure 83. OptaPro VideoHub Elite Competitions Covered 240 Figure 84. OptaPro Portal 242 Figure 85. Opta Cricket Wagon Wheel Graphic, Created Using Data For BBC Sport 244 Figure 86. Opta Analytics Charting Success, Unsuccessful, and Assists 245 Figure 87. Investec Leveraging Opta Data Analytics 246 Figure 88. TruMedia's MLB Analytics Platform 248 Figure 89. TruMedia Networks Albert Pujols Batting Pattern 249 Figure 90. TruMedia Analytics Platform Positioning 250 Figure 91. TruMedia Heat Zone Analytics 251 Figure 92. TruMedia Soccer 253 Figure 93. TruMedia's Soccer Analytics Platform League Coverage 254 Figure 94. ESPN Uses TruMedia's Soccer Analytics Platform 255 Figure 95. TruMedia / ESPN Crossing Pattern NCAA Conferences Covered: 256 Figure 96. Sportvision Sports Tracked 263 Figure 97. Sportvision NHL Puck Tracking System 267 Figure 98. Sportvision NHL Game Tracking System 269 Figure 99. Sports Vision Technologies P3ProSwing In-depth Golf Swing Analysis 271 Figure 100. Golf Courses Available on P3ProSwing Golf Analytics Simulator 272 Figure 101. Cognitive Computing Real Time Sports Analytics 274 Figure 102. Cognitive Computing Sports Analytics Functions 275 Figure 103. IBM Watson Cognitive IoT Sports Sensor Communication Pathways 277 Figure 104. IBM Watson Cognitive IoT Sports Analytics Functions 278 Figure 105. IBM Augusta National Golf Try Tracker 281 Figure 106. IBM Predictive Analytics Technology Used In Rugby 282 Figure 107. IBM Sports Analytics Tennis Slam Tracker 284 Figure 108. IBM Sports Analytics Player Tracker 285 Figure 109. IBM Sports Analytics Tennis Stats Comparisons 285 Figure 110. IBM Sports Analytics Tennis Set Comparisons 286 Figure 111. IBM Sports Analytics Tennis Keys to the Match Tracker 286 Figure 112. 82games Types of Basketball Numbers 287 Figure 113. 82games Stats Collected on Each Player in a Game 288 Figure 114. Catapult for Coaches Providing Scientifically-Validated Metrics on Athlete Performance 293 Figure 115. Real Sports Analytics Player Performance Scorecard 298 Figure 116. Real Sports Analytics Player Detail View 299 Figure 117. Real Sports Analytics Player Weekly Performance Scorecard 300 Figure 118. Real Sports Analytics Game Metric Player Measure 301 Figure 119. SAS Sports Analytics Functions 303 Figure 120. Hawk-eye Sports Analytics Features 305 Figure 121. Google Analytics Used In Loyalty Program 308 Figure 122. Second Spectrum Video Analytics 309 Figure 123. Second Spectrum Video Platform Functions 310 Figure 124. Second Spectrum Functions: Player Profile, Offense, Defense, Picks 311 Figure 125. Second Spectrum Use Case Example 313 Figure 126. Second Spectrum Tracking Graphics 314 Figure 127. Second Spectrum Optical Tracking Provider of NBA 315 Figure 128. Second Spectrum Player Tracking Benefits 316 Figure 129. Kinduct Athlete Management System Graphics 320 Figure 130. Kinduct Athlete Management System Functions 321 Figure 131. UEFA’s Financial Fair Play (FFP) 323 Figure 132. Elite Player Performance Plan (EPPP) Fundamental Principles: 325 Figure 133. Elite Player Performance Plan (EPPP) Focus Areas 326 Figure 134. Elite Player Performance Plan (EPPP) Grading Factors 327 Figure 135. Key Areas of EPPP Focus 329 Figure 136. Major League Baseball MLB Streaming Media Analytics Functions 330 Figure 137. Stats Data Center Technology 335 Figure 138. STATS Data Delivery Protocols: 336 Figure 139. STATS Servers Modules 337 Figure 140. Stats Content Delivery 338 Figure 141. Oracle Powers Stats Databases 338 Figure 142. Stats Secure Connection 340 Figure 143. Stats Information Provided 341 Figure 144. Stats Sports Covered 342 Figure 145. Stats Sports Leagues Covered 343 Figure 146. Stats Interactive Functionality 350 Figure 147. Google Dynamic Architecture 351 Figure 148. Microsoft .Net Dynamic Definition of Reusable Modules 355 Figure 149. Microsoft .NET Compiling Source Code into Managed Assemblies 357 Figure 150. Microsoft Architecture Dynamic Modular Processing 358 Figure 151. Process Of SOA Implementation Depends On N-Dimensional Interaction Of Layers That Can Be Modeled by Business Analyst 360 Figure 152. IBM SOA Business I Services Layers 361 Figure 153. IBM Smart SOA Continuum 362 Figure 154. SOA Foundation Reference Architecture 363 Figure 155. IBM WebSphere MQ WMQ Providing a Universal Messaging Backbone 364 Figure 156. Golf Swing Analyzer 370 Figure 157. Golf Biomechanics Report Features: 373 Figure 158. Motion Measurement Analysis Functions 374 Figure 159. AP Global Reach Statistics 378 Figure 160. AP Image Statistics 379 Figure 161. AP Revenue By Customer and Format 380 Figure 162. AP Download Statistics 381 Figure 163. AP Growth in Sales 381 Figure 164. AP Newsroom Profile 382 Figure 165. Catapult System Device Description and Components 391 Figure 166. Catapult System Device Positioning 392 Figure 167. Catapult System Device Functions 392 Figure 168. Catapult Trending on The Daily Cut 393 Figure 169. Catapult Trending on The MLB Stress 394 Figure 170. Hockey Analytics To Help Make Better Line Combinations 399 Figure 171. Analytics Use as a Coaching Tool 401 Figure 172. NHL Team Activities That Depend On Analytics 402 Figure 173. Fox Sports Analytics Types of Simulations 408 Figure 174. Foxsports Dream Team SimMatchup 416 Figure 175. Foxsports Whatifsports.com 417 Figure 176. Google Analytics Used In Loyalty Program 419 Figure 177. Kinduct Athlete Management System Customer Base 420 Figure 178. Major League Baseball MLB Baseball Swing Analysis 425 Figure 179. 6 Key Hitting Stages 436 Figure 180. Baseball Key Hitting Stages 437 Figure 181. Teaching Young Players Analytics 438 Figure 182. MLB Hitting Analytics for Young Players, Comparison to Big League Hitting Stars 440 Figure 183. Online Sports Management Analytics Features and Benefits 441 Figure 184. MLB.com Digital Academy Youth League Management Tools And Instructional Resources 443 Figure 185. Motor Sports Analytics Features 444 Figure 186. Dazn Live Sports Service Rights Selected Portfolio 454 Figure 187. Opta Partners for Betting 456 Figure 188. Opta Partners for Broadcast 457 Figure 189. Opta Partners for Online and Mobil 458 Figure 190. Opta Partners for Clubs and Governing Bodies 460 Figure 191. Opta Partners for Clubs and Governing Bodies 461 Figure 192. Opta Partners for Print 466 Figure 193. Opta Sponsors and Brands 467 Figure 194. Opta Partners 468 Figure 195. RAMP Holdings Integration Partners 475 Figure 196. RAMP Holdings Technology Partners 476 Figure 197. Second Spectrum Investors 477 Figure 198. Sportvision Credentials: Sports Broadcasting Technology 482 Figure 199. Sports Analytics Institute Player Evaluation System Features 484 Figure 200. Sports Analytics Institute Player Evaluation System Functions 485 Figure 201. Sportradar Sports Tracked 488 Figure 202. Sportradar Comprehensive Coverage 489 Figure 203. Sportradar Regions 491 Figure 204. Stats Sports Partners 499 Figure 205. STATS Sports Technology Target Markets 503 Figure 206. Stats Customers 504 Figure 207. Prozone Cameras 506 Figure 208. Prozone Optical Player Tracking 507 Figure 209. TruMedia Networks Platform Components 519 Figure 210. Trumedia Networks Analytics Solutions Target Markets 520 Figure 211. Zebra Technologies Global Market Positioning 525 Figure 212. Zebra Technologies RFID Sports Positioning 526 Figure 213. Catapult Team Customer Base 1
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