Sports Coaching Platforms: Market Shares, Market Strategies, and Market Forecasts, 2015 to 2021

Sports Coaching Platforms: Market Shares, Market Strategies, and Market Forecasts, 2015 to 2021

Category : ICT & Media
Published On : November  2015
Pages : 244

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LEXINGTON, Massachusetts (November 4, 2015) - WinterGreen Research announces that it has published a new study Sport Coaching Modules: Market Shares, Strategy, and Forecasts, Worldwide, 2015 to 2021. Next generation sports coaching platforms leverage better software technology, they support high quality data gathering and sharing in the specific sport or activity in which they are being used. Platform coaching modules are highly targeted to specific situations. Sports coaching platforms make teams more functional, improve player performance.

The quality of coaching athletes and coaching teams is better with the introduction of some automated process. The availability of coaching modules provides coaches with many distinct possibilities for strategic maneuvering. The ability of athlete health and muscle metrics to trainers increases options for increasing athlete effectiveness. The availability of annotated video, instantly available on the smart phone makes athletes and teams train better. Better sports at every level is made possible by the coaching platforms. Platforms offer information integration and distribution which ever is the appropriate response. Vendors are able to stimulate better conditioning and better team play. Platforms provide accelerated annotated video distribution to the right people efficiently. 

In sports and fitness technology, it is not about what data can be shown, it is how meaningful the data is in terms of improving athletic performance or managing overall personal fitness. Sports coaching platforms have become a way to bring big data to the coach and help him craft on-field strategy, tuned to actionable information. 

Annotated video is the fundamental technology set to revolutionize sport. As it is formatted in a manner that is appropriate for viewing on a smart phone, it becomes a valuable tool for improving sporting performance. Platforms and monitoring devices are being used by athletes and coaches to make team members better players. Fitness devices are being used to increase the levels and qualities of exercise. Vendors have been forced to realize that people need interpretation of data, they need to know the meaning of data collected by the team, letting the coach communicate a coherent strategy. 

Sports coaching platform technology is poised to affect the way any game is played by professionals, shifting sports more than anything has ever done before. Sports and smart technology are poised to give teams that are early adopters significant competitive advantage. Professional sports teams and professional athletes are early adopters of coaching platform technology, driving market growth. 

The professional athletes have the money to spend of development products. They have the most to gain from athletic performance improvements. Within the coaching platform technology industry, there seems to be a big market for professional athletes, trainers, and coaches who need that edge over their competitors to stay in the game. Amateur and school sports leagues are great users as well, leveraging the platforms to gain efficiency in team administration and coaching. 

Sports analytics: is evolving beyond on field ply analysis to biometrics analysis. The ability to analyze joint, muscle, heart, respiratory, cadence, and endurance parameters of the athlete or ordinary user is significant. In addition, the swing of the bat or the racket can be analyzed. 

According to Susan Eustis, leader of the team that prepared the study, “Wireless technology is having a great affect on sports coaching platform technology. Within the software platform software industry, analytics have been able to permit coaches to tune the play of athletes in a more manageable manner. Market growth comes from professional athletes and teams that need to achieve an edge over their competitors and from school team consumers wishing to gain performance advantage in their local sports leagues. By adopting prebuilt modules of plays and adapting them to their players, teams are able to function more effectively. Annotated video facilitates coaching individual attention to athletes. Performance can be improved, coaching can be improved using coaching platform technology.”

Sports coaching platform technology forecasts indicate that the evolution of devices is in the context of smart phone adoption going to 9.5 billion by the end of the forecast period. The ability to offer sophisticated analytics for the team and the athlete is what provides sophisticated application capabilities. Apps are further evolving to provide tracking of motion and help provide mastery of various techniques for mastering some aspect of sport or fitness. 

Sports coaching platform technology markets at $49 million in 2014 are anticipated to reach $864 million by 2021. Market growth comes as coaching platform technology further evolves. The sports segment is just part of a larger sports analytics market. With technology maturity, price points will decline rapidly and affordability will drive significant market growth, soon reaching billions of dollars. The companies that achieve measurable market share early in the evolution of the market are likely to maintain a strong presence in the billion dollar markets. 

WinterGreen Research is an independent research organization funded by the sale of market research studies all over the world and by the implementation of ROI models that are used to calculate the total cost of ownership of equipment, services, and software. The company has 35 distributors worldwide, including Global Information Info Shop, Market, Research and Markets,, and Thompson Financial. WinterGreen Research is positioned to help customers facing challenges that define the modern enterprises. The increasingly global nature of science, technology and engineering is a reflection of the implementation of the globally integrated enterprise. Customers trust wintergreen research to work alongside them to ensure the success of the participation in a particular market segment.

WinterGreen Research supports various market segment programs; provides trusted technical services to the marketing departments. It carries out accurate market share and forecast analysis services for a range of commercial and government customers globally. These are all vital market research support solutions requiring trust and integrity.
Sports Analytics Executive Summary
- Sports Analytics Market Driving Forces
- Sports Analytics Organizational Market Driving Forces
- Play of the Game
- Sports Analytics Market Shares
- Sports Analytics Market Forecasts

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

2. Sports Analytics Market Shares and Market Forecasts
2.1 Sports Analytics Market Driving Forces
2.1.1 Sports Analytics Organizational Market Driving Forces
2.1.2 Play of the Game
2.1.3 NHL Shift Charts
2.2 Sports Analytics Market Shares
2.2.1 Companies and Media Focused on Sports Analytics
2.2.2 Stats
2.2.3 Stats / Prozone Describes Performance
2.2.4 Perform / Opta
2.2.5 OptaPro Portal
2.2.6 TruMedia
2.2.7 Catapult Team
2.2.8 Catapult: National Hockey League NHL
2.2.9 Catapult Total Revenue
2.2.10 QSTC
2.2.12 Sportvision
2.2.13 Fox NFL Predictions
2.2.14 Synergy Basketball Designed for Coaches By Coaches
2.3 Sports Analytics Market Forecasts
2.3.1 Sports Analytics Market Segments
2.3.2 Personal Analytics
2.4 Sports Analytics Regional Market Analysis
2.4.1 US

3. Sports Analytics Product Description
3.1.1 Stats’ SportVU Technology
3.1.2 Stats ICE - Basketball Operations Solutions
3.1.3 Stats Fantasy Sports
3.1.4 Stats Fantasy Games
3.1.5 Stats Pick / Predictor Fantasy
3.1.6 Stats Salary Cap Fantasy
3.1.7 Stats Leagure Stype Fantasy
3.1.8 Stats Commissioner Fantasy
3.1.9 Stats Bracket Fantasy
3.1.10 Stats' Sports Solutions Group
3.1.11 Stats Player Tracking
3.1.12 STATS MatchCast
3.1.13 Stats Prozone
3.1.14 Prozone World Cup 2014
3.1.15 Prozone Data, Information, Insights.
3.1.16 Prozone’s Football Heritage
3.1.17 Prozone Describes Performance
3.1.18 Prozone Opposition Scouting
3.1.19 Prozone Team Analysis
3.1.20 Prozone Physiological Monitoring
3.1.21 Prozone Player Recruitment
3.1.22 Stats Global Network
3.1.23 Stats Strategic Support
3.1.24 Stats Case Studies
3.1.25 Stats Football
3.1.26 Stats Rugby Union
3.1.27 Stats Rugby League
3.2 Perform / OptaPro
3.2.1 OptaPro VideoHub Elite
3.2.2 OptaPro VideoHub Elite Competitions Covered
3.2.3 OptaPro Portal
3.2.4 Opta
3.2.5 Opta Sports Data
3.2.6 Opta Sportsbook Predictive Analytics & Data Modelling
3.2.7 Opta Analytics In Action
3.3 TruMedia Sports Analytics
3.3.1 TruMedia's MLB Analytics Platform
3.3.2 TruMedia MiLB Minor League Analytics
3.3.3 TruMedia Soccer Analytics
3.3.4 TruMedia Crossing Pattern Football Analytics Platform / ESPN
3.4 Sportvision
3.4.1 Sportvision Motorsports Driving Innovation
3.4.2 ESPN Commits to Sportvision K-Zone Live on Every Pitch for MLB Coverage
3.4.3 SmartSports, Boston-Based Parent Company of SmartKage, and Sportvision
3.4.4 NHL, Sportvision Progress in Chip-Based Player Tracking
3.4.5 NHL Website Advanced Statistics
3.5 Sports Vision Technologies P3ProSwing Professional Golfers
3.6 Fox What If Embraces Technology as It Redefines Sports Competition
3.6.1 Fox What If Sports Simulations
3.6.2 Fox Sports Analytics
3.6.3 STATS LLC Global Sports Statistics
3.6.4 Stats Quarterbacks
3.4.5 Stats Running Backs
3.4.6 Stats Tackle
3.6.8 /
3.6.9 Positioned As Sports Simulation Destination
3.6.10 Foxsports NFL Prediction Widgets
3.6.11 Foxsports CFB Predictions
3.6.12 Foxsports SimMatchup
3.6.13 Foxsports MLB Power Rankings
3.7 ESPN Analytics
3.7.1 ESPN NFL National Football League
3.7.2 ESPN Major League Baseball Sports Analytics
3.7.3 National Basketball Association
3.7.4 ESPN Blackhawks Hockey Analytics Effectiveness
3.7.5 ESPN Stats & Information
3.7.6 ESPN Stats & Info
3.8 CBS Sports Analytics
3.8.1 St. Louis Blues Coach Ken Hitchcock Uses Analytics To Help Make Better Line Combinations
3.8.2 NHL Shot Location Data
3.9 Cognitive Computing Real Time Sports Analytics
3.10 Pro Football Focus
3.10.1 SportVU Football Solutions
3.11 IBM Watson Cognitive Computing
3.11.1 IBM Golf TryTracker
3.11.2 IBM Grand Slam Tennis
3.12 Sports Analytics Institute: Player Evaluation System
3.12.1 Sports Analytics Institute Growing an Organization's Sports Analytics Competency
3.12.2 Sports Analytics Institute: Hockey
3.13 Baseball Swing Analysis
3.13.1 MLB myHits 6 Key Hitting Stages
3.13.2 MLB League Tools and Services
3.14 82games
3.15 Catapult
3.15.1 Catapult Team Customer Base
3.15.2 Catapult Monitoring Elite Athletes
3.16 Real Sports Analytics
3.16.1 Real Sports Analytics Player Performance Scorecards
3.17 Sports Business Intelligence
3.18 SAS
3.18.1 SAS Sports Analytics
3.18.2 SAS Customer Intelligence Analytics
3.19 SAP
3.20 Hawk-eye
3.21 Nike+
3.21.1 Nike Personal Analytics
3.22 QSTC
3.23 Synergy Sports
3.24 CSA - Competitive Sports Analysis
3.25 Sports Analytics Institute
3.25.1 Sports Analytics Institute Player Evaluation System
3.26 Oracle
3.27 Google Analytics
3.27.1 Google Analytics Used In Loyalty Program

4. Sports Analytics Technology 322
4.1 Legislation: UEFA’s Financial Fair Play (FFP), Premier League’s Elite Player Performance Plan (EPPP)
4.1.1 UEFA’s Financial Fair Play (FFP)
4.1.2 Elite Player Performance Plan (EPPP)
4.1.3 Elite Player Performance Plan (EPPP) Focus on Youth Development
4.2 Major League Baseball MLB Analytics
4.3 US National Football League NFL
4.4 John Henry Owner of Boston Red Sox Uses Sports Analytics to Win World Series
4.5 Stats Technology
4.5.1 STATS Servers
4.5.3 Stats Interactive
4.6 Sports Analytics Dynamic Architecture
4.6.1 Google Search Engine Dynamic Architecture
4.6.2 BigFiles
4.6.3 Repository
4.6.4 Microsoft .Net Defines Reusable Modules Dynamically
4.6.5 Microsoft Combines Managed Modules into Assemblies
4.6.6 Microsoft Architecture Dynamic Modular Processing
4.6.7 IBM SOA Architecture is Dynamic for the Transport Layer
4.7 IBM WebSphere MQ Dynamic Architecture is Base for SOA
4.8 IBM Software Enterprise Service Bus
4.8.1 IBM ESB and SOA
4.9 Electromagnetic 12 Sensor 6 DOF Golf System
4.8.2 Golf Electromagnetic Flexible Screen
4.8.3 Experts Can Note Needed Improvements, Create Database Of A Person’s Own Swings

5. Sports Analytics Company Profiles
5.1 Advanced Sports Analytics
5.2 Analytics Educational
5.3 Associated Press
5.3.1 AP Positioning
5.3.2 Associated Press Not-For-Profit Cooperative
5.5 Catapult: NHL Technology Reduces Injuries
5.5.1 Catapult Focused on US College Sports System
5.5.2 Catapult Data Collection
5.5.3 Catapult Revenue
5.5.4 Catapult Regional Revenue
5.5.5 Catapult Total Revenue
5.5.6 Catapult US:
5.5.7 Catapult EU
5.5.8 Catapult ROW
5.5.9 Catapult Total Units Ordered
5.5.10 Catapult Player Tracking in Australian Rules Football
5.5.11 Catapult Hockey Player Tracking
5.5.12 Catapult Device
5.5.13 Catapult in the NFL
5.5.14 Catapult Can Help Trainers Understand How Much Stress Of The Game
5.5.15 Catapult Measuring Intense Play
5.5.16 Big Wave Surfers Use Catapult to Ready for Event
5.6 Competitive Sports Analysis
5.7 Major League Baseball (MLB) Teams
5.7.1 Digital Academy Instructional Center
5.7.2 MLB Coaches Corner
5.7.3 Youth Baseball Leagues
5.7.4 MLB my Hits®
5.7.5 MLB myPitch
5.8 Motor Sports Analytics
5.9 National Football League (NFL)
5.9.1 AFC-North
5.9.2 AFC-South
5.9.3 AFC-East
5.9.4 AFC-West
5.9.5 NFC-North
5.9.6 NFC-South
5.9.7 NFC-East
5.9.8 NFC-West
5.9.9 NFL Stats
5.10 Perform / Opta Pro
5.10.1 Opta
5.10.2 Opta Partner Clients
5.10.3 Opta Partners for Betting
5.10.4 Opta Partners for Broadcast
5.10.5 Opta Partners for Online and Mobil
5.10.6 Opta Partners for Print
5.10.7 Perform Revenue
5.10.8 Perform Acquires Opta
5.11 Ramp Holdings
5.11.1 RAMP Holdings ROI
5.11.2 RAMP Holdings Capital Investment and Revenue
5.11.3 RAMP Holdings Partners
5.12 SmartSports
5.12.1 SmartSports / Sportvision
5.12.2 Sportvision
5.12.3 MLS Teams Seek Edge With Player-Tracking Technology
5.13 Sports Vision Technologies
5.14 Statistical Sports Consulting
5.15 Synergy Sports
5.15.1 Synergy Basketball Designed for Coaches By Coaches
5.15.2 Synergy Changes The Game
5.16 TruMedia Networks
5.16.1 Tony Khan Acquires Sports Analytics Firm TruMedia Networks
5.16.2 TruMedia Networks / Detroit Tigers Long Term Licensing Agreement
5.16.3 TruMedia Partners with Harvard Sports Analysis Collective
5.16.4 Jacksonville Jaguars Executive Tony Khan makes Strategic Investment in TruMedia Networks
5.16.5 TruMedia Networks Baseball Analytics Site In Partnership With Journalist Peter Gammons
5.16.6 TruMedia Networks and ESPN Power NFL Crossing Pattern Analytics Product
5.17 Vista Equity Partners
5.18.1 STATS
5.17.2 Stats Was Part of News Corporation (the parent of and the Associated Press
5.17.3 Stats Customers
5.17.4 STATS / Prozone
5.17.5 Prozone Software Tracks In-Game Player Performance
5.17.6 Stats Revenue
5.17.7 Stats Locations Worldwide
5.17.8 STATS Sports Public Relations
5.17.9 STATS Data And Content Company
5.17.10 Stats Data Centers
5.17.11 Stats Acquisitions
5.17.12 STATS / Sportz Interactive
5.17.13 STATS Projections for Daily Fantasy Sports
5.17.14 Vista Equity Partners And STATS Acquire Automated Insights
5.17.15 STATS Acquires The Sports Network
5.17.16 STATS Acquires TVTI
5.17.17 STATS Acquires Bloomberg Sports
5.17.18 STATS / Automated Insights
5.18 Sports Analytics Companies
5.18.1 Sports Analytics Vendors
5.18.4 Television/Video

List of Tables and Figures:

Table ES-1 Types of Organizations Using Sports Analytics
Table ES-2 Sports Analytics Market Driving Forces
Table ES-3 Sports Analytics Market Driving Factors for Player’s Agents
Table ES-4 Sports Analytics Market Aspects
Table ES-5 Sports Analytics Market Forces
Table ES-6 Sports Video Analytics Market Driving Forces
Table ES-7 Sports Analytics Fantasy Game Market Driving Forces
Table ES-8 Sports Analytics Uses
Figure ES-9 Sidney Crosby #87 Of The Pittsburgh Penguins Celebrates A Second Period Goal With Teammate
Figure ES-10 Sports Analytics Market Shares, Dollars, Worldwide, 2014
Figure ES-11 Sports Analytics Market Forecasts Dollars, Worldwide, 2015-2021
Figure 1-1 Hockey Goal Scoring
Table 1-2 Owner John Henry and the Red Sox Leverage Sports Analytics
Table 1-3 Red Sox Sports Analytics Positioning
Figure 1-4 Red Sox Value Patient Hitters
Table 1-5 Sports Analytics in the Context of Physicality
Figure 1-6 Major League Baseball Average Roster Cost Per Win
Table 1-7 Web Sites Dedicated To Hockey Analytics
Figure 1-8 Rockets Lowest Percentage Of Midrange Shots
Figure 1-9 Major League Baseball Average Roster Cost Per Win
Figure 1-10 NHL Hockey Los Angeles LA Kings
Table 1-11 Cycling Computer Output
Table 1-12 Factors that Impact Ownership Use of Analytics for Sports Management
Table 2-1 Types of Organizations Using Sports Analytics
Table 2-2 Sports Analytics Market Driving Forces
Table 2-3 Sports Analytics Market Driving Factors for Player’s Agents
Table 2-4 Sports Analytics Market Aspects
Table 2-5 Sports Analytics Market Forces
Table 2-6 Sports Video Analytics Market Driving Forces
Table 2-7 Sports Analytics Fantasy Game Market Driving Forces
Table 2-8 Sports Analytics Uses
Figure 2-9 Sidney Crosby #87 Of The Pittsburgh Penguins Celebrates A Second Period Goal With Teammate
Figure 2-10 NHL Shift Chart Player Statistics
Figure 2-11 NHL Shift Chart Goals Scored Line Statistics
Figure 2-12 NHL Entire Game Shift Chart
Figure 2-13 Sports Analytics Market Shares, Dollars, Worldwide, 2014
Table 2-14 Sports Analytics Market Shares, Dollars, Worldwide, 2014
Figure 2-15 MIT Sloan Sports Analytics Conference Attendees
Table 2-16 MIT Sloan Sports Analytics Conference Attendees
Table 2-17 Media Using Sports Analytics
Table 2-18 Digital Media Using Sports Analytics
Table 2-19 Television / Video Media Using Sports Analytics
Figure 2-20 Sports Analytics Market Forecasts Dollars, Worldwide, 2015-2021
Table 2-21 Sports Analytics Market Forecasts Dollars, Worldwide, 2015-2021
Table 2-22 Sports Analytics Market Segments, Worldwide, Dollars, 2015-2021
Figure 2-23 Sports Analytics Market Segments, Worldwide, Percent, 2015-2021
Table 2-24 Sports Analytics Technology Target Markets
Figure 2-25 Sports Analytics Regional Market Segments, Dollars, 2014
Table 2-26 Sports Analytics Regional Market Segments, 2014
Figure 3-1 Stats’ SportVU Technology
Table 3-2 STATS’ SportVU Technology Target Markets
Table 3-3 Stats Turn-Key Fantasy Solution Functions:
Figure 3-5 Stats Fan Experience
Table 3-6 Stats Leveraging The Timeline
Figure 3-7 Opta Sport Analytics Advanced Layer, Next Level Of Data Provision
Figure 3-8 Opta VideoHub Elite Data-Led Video Analysis
Table 3-9 Opta VideoHub’s Key Strengths
Figure 3-10 OptaPro VideoHub Elite Competitions Covered
Figure 3-11 OptaPro Portal
Figure 3-12 Opta Cricket Wagon Wheel Graphic, Created Using Data For BBC Sport
Figure 3-13 Opta Analytics Charting Success, Unsuccessful, and Assists
Figure 3-14 Investec Leveraging Opta Data Analytics
Figure 3-15 TruMedia's MLB Analytics Platform
Figure 3-16 TruMedia Networks Albert Pujols Batting Pattern
Table 3-17 TruMedia Analytics Platform Positioning
Figure 3-18 TruMedia Heat Zone Analytics
Figure 3-19 TruMedia Soccer
Table 3-20 TruMedia's Soccer Analytics Platform League Coverage
Figure 3-21 ESPN uses TruMedia's Soccer Analytics Platform
Table 3-22 TruMedia / ESPN Crossing Pattern NCAA Conferences Covered:
Figure 3-23 Sportvision Sports Tracked
Figure 3-24 Sportvision NHL Puck Tracking System
Figure 3-25 Sportvision NHL Game Tracking System
Figure 3-26 Sports Vision Technologies P3ProSwing In-depth Golf Swing Analysis
Table 3-29 Golf Courses Available on P3ProSwing Golf Analytics Simulator
Table 3-30 Fox Sports Analytics Types of Simulations
Figure 3-31 Foxsports Dream Team SimMatchup
Table 3-32 Foxsports
Table 3-33 ESPN NFL Top 10 Analytics Use Ranking
Table 3-34 ESPN Major League Baseball MLB Analytics Use Ranking
Table 3-35 ESPN National Basketball Association NBA Analytics Use Ranking
Table 3-36 ESPN NHL National Hockey League Analytics Use Ranking
Table 3-37 ESPN Insider Knowledge Blog Posts
Figure 3-38 Hockey Analytics To Help Make Better Line Combinations
Table 3-39 Analytics Use as a Coaching Tool
Table 3-40 NHL Team Activities That Depend On Analytics
Table 3-41 Cognitive Computing Real Time Sports Analytics
Table 3-42 Cognitive Computing Sports Analytics Functions
Figure 3-43 IBM Augusta National Golf Try Tracker
Figure 3-44 IBM Predictive Analytics Technology Used In Rugby
Figure 3-45 IBM Sports Analytics Tennis Slam Tracker
Figure 3-46 IBM Sports Analytics Player Tracker
Figure 3-47 IBM Sports Analytics Tennis Stats COmparisons
Figure 3-48 IBM Sports Analytics Tennis Set Comparisons
Figure 3-49 IBM Sports Analytics Tennis Keys to the Match Tracker
Figure 3-50 Sports Analytics Institute Player Lifetime Value Evaluation System Components
Table 3-51 Sports Analytics Institute Player Evaluation System Stages
Figure 3-52 Major League Baseball MLB Baseball Swing Analysis
Figure 3-53 6 Key Hitting Stages
Table 3-54 Baseball Key Hitting Stages
Figure 3-55 Teaching Young Players Analytics
Figure 3-56 MLB Hitting Analytics for Young Players, Comparison to Big League Hitting Stars
Table 3-57 Digital Academy Youth League Management Tools And InstructionalResources
Table 3-58 82games Types of Basketball Numbers
Table 3-59 82games Stats Collected on Each Player in a Game
Table 3-60 Catapult Team Customer Base
Table 3-61 Catapult for Coaches Providing Scientifically-Validated Metrics on AthletePerformance
Figure 3-62 Real Sports Analytics Player Performance Scorecard
Figure 3-63 Real Sports Analytics Player Detail View
Figure 3-64 Real Sports Analytics Player Weekly Performance Scorecard
Table 3-65 Real Sports Analytics Game Metric Player Measure
Figure 3-66 Real Sports Analytics Player Color Coded Performance Scorecard
Table 3-67 SAS Sports Analytics Functions
Table 3-68 Hawk-eye Sports Analytics Features
Table 3-69 Sports Analytics Institute Player Evaluation System Features
Table 3-70 Google Analytics Used In Loyalty Program
Table 4-1 UEFA’s Financial Fair Play (FFP)
Table 4-2 Elite Player Performance Plan (EPPP) Fundamental Principles:
Table 4-3 Elite Player Performance Plan (EPPP) Focus Areas
Table 4-4 Elite Player Performance Plan (EPPP) Grading Factors
Table 4-5 Key Areas of EPPP Focus
Table 4-6 Major League Baseball MLB Streaming Media Analytics Functions
Figure 4-7 Stats Data Center Technology
Table 4-8 STATS Data Delivery Protocols:
Table 4-9 STATS Servers Modules
Figure 4-10 Stats Content Delivery
Figure 4-11 Oracle Powers Stats Databases
Figure 4-12 Stats Secure Connection
Table 4-13 Stats Information Provided
Table 4-14 Stats Sports Covered
Table 4-15 Stats Sports Leagues Covered
Table 4-16 Stats Interactive Functionality
Table 4-17 Google Dynamic Architecture
Figure 4-18 Microsoft .Net Dynamic Definition of Reusable Modules
Figure 4-19 Microsoft .NET Compiling Source Code into Managed Assemblies
Figure 4-20 Microsoft Architecture Dynamic Modular Processing
Table 4-21 Process Of SOA Implementation Depends On N-Dimensional Interaction Of LayersThat Can Be Modeled by Business Analyst
Table 4-22 IBM SOA Business I Services Layers
Figure 4-23 IBM Smart SOA Continuum
Table 4-24 SOA Foundation Reference Architecture
Figure 4-25 IBM WebSphere MQ WMQ Providing a Universal Messaging Backbone
Figure 4-26 Golf Swing Analyzer
Table 4-27 Golf Biomechanics Report Features:
Table 5-1 Motion Measurement Analysis Functions
Figure 5-2 AP Global Reach Statistics
Figure 5-3 AP Image Statistics
Figure 5-4 AP Revenue By Customer and Format
Figure 5-5 AP Download Statistics
Figure 5-6 AP Growth in Sales
Figure 5-7 AP Newsroom Profile
Table 5-8 Catapult System Device Description and Components
Table 5-9 Catapult System Device Positioning
Table 5-10 Catapult System Device Functions
Figure 5-11 Catapult Trending on The Daily Cut
Figure 5-12 Catapult Trending on The MLB Stress
Table 5-13 Motor Sports Analytics Features
Figure 5-14 Opta Partners for Betting
Figure 5-15 Opta Partners for Broadcast
Figure 5-16 Opta Partners for Online and Mobil
Figure 5-17 Opta Partners for Clubs and Governing Bodies
Figure 5-18 Opta Partners for Print
Figure 5-19 Opta Sponsors and Brands
Figure 5-20 Opta Partners
Figure 5-21 RAMP Holdings Investors
Figure 5-22 RAMP Holdings Integration Partners
Figure 5-23 RAMP Holdings Technology Partners
Table 5-24 Sportvision Credentials: Sports Broadcasting Technology
Table 5-25 TruMedia Networks Platform Components
Table 5-26 TruMedia Networks Analytics Solutions Target Markets
Figure 5-27 Stats Companies
Table 5-28 STATS Sports Technology Target Markets
Figure 5-29 Stats Customers
Figure 5-30 Prozone Cameras
Table 5-31 Prozone Optical Player Tracking
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