Turning Real Time Biometric and On-Court Data into Actionable Performance Gains: The Major Big Data Challenge

Robert A. Connor, MHA, Ph.D. CEO, Medibotics LLC [email protected]

wearable tech with little or no current wearable tech application to sports to collect data concerning Wearable Tech, wearable Sports, and Data: tech human motion, physiology, and Big Picture for general Wearable use in performance and Trends sports in sports 2013

Wearable Tech Expo 2013 Sports Data December 9, 2013

Robert A. Connor, Ph.D. CEO, Medibotics

sports data collection and analysis with little or no wearable tech c 2013 Robert A. Connor: may be used with attribution wearable tech with little or no current application to sports Wearable Tech, wearable wearable tech Sports, and Data: tech Big Picture for general to collect data use in Wearable concerning and Trends sports human motion, physiology, and 2016 performance in sports Wearable Tech Expo 2013 Sports Data December 9, 2013 Robert A. Connor, Ph.D. CEO, Medibotics

sports data collection and analysis with little or no wearable tech c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam Collection and (1, Many, Fixed, Worn), Use of Sports Data: Inertial, EM/RF/GPS, Pressure, Sound, Temp, etc. ELEMENTS: USER/SOURCE: Person Location, Model and Examples Company*, Path, Speed, Accel, of Data Collection, Coach/Team/Player, Orient, Posture,“Play”, Analyst/Writer*, Elements, Sports Data Pulse, EM, etc.; Fan/Individual, Collection Ball, Handheld Specific Sports, etc. Object; etc. and Use Applications, and Users SPORT: APPLICATION: Soccer, Football, Training, Strategy, Basketball, Baseball, Wearable Tech Expo 2013 Fan Engagement, Golf, Running, Boxing, December 9, 2013 Safety/Health, Skiing, Swimming, Robert A. Connor, Ph.D. General Fitness, General Fitness, CEO, Medibotics etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: HUMAN COLLECTION: Human; Optical/Cam Time-honored (1, Many, Fixed, Worn), data collection Inertial, EM/RF/GPS, and analysis Pressure, Sound, Temp, etc. ELEMENTS: by human senses USER/SOURCE: Person Location, unaided by Company*, Path, Speed, Accel, additional technology. Coach/Team/Player, Orient, Posture,“Play”, Analyst/Writer*, Sports Data Pulse, EM, etc.; Humans miss some things Fan/Individual, Collection Ball, Handheld due to their limited focus etc. Object; etc. and Use and sensory range limitations. SPORT: APPLICATION: Soccer, Football, Does not automatically Training, Strategy, Basketball, Baseball, provide objective and/or Fan Engagement, Golf, Running, Boxing, quantitative data for analysis. Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: FIXED CAM COLLECTION: Human; Optical/Cam Traditional single fixed (1, Many, Fixed, Worn), location (not worn) camera. Inertial, EM/RF/GPS, Pressure, Sound, Temp, etc. ELEMENTS: Can use pattern recognition USER/SOURCE: Person Location, for (limited perspective) Company*, Path, Speed, Accel, posture and “play” recognition. Coach/Team/Player, Orient, Posture,“Play”, Can use non-visual Analyst/Writer*, Sports Data Pulse, EM, etc.; (e.g. infrared) light. Fan/Individual, Collection Ball, Handheld etc. Object; etc. and Use Hard to pinpoint XYZ location or path... or to track multiple SPORT: places simultaneously. APPLICATION: Soccer, Football, Training, Strategy, Basketball, Baseball, Less good for obscured or Fan Engagement, Golf, Running, Boxing, large-area sports Safety/Health, Skiing, Swimming, (e.g. swimming, wrestling, General Fitness, General Fitness, distance running). etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: MANY CAMS COLLECTION: Human; Optical/Cam Data collection and integration (1, Many, Fixed, Worn), among multiple fixed-location Inertial, EM/RF/GPS, (not worn) video cameras. Pressure, Sound, Temp, etc. ELEMENTS: USER/SOURCE: Person Location, Can integrate data to track Company*, Path, Speed, Accel, XYZ location (path, speed, Coach/Team/Player, Orient, Posture,“Play”, acceleration) and (with Analyst/Writer*, Sports Data Pulse, EM, etc.; pattern-recognition or Fan/Individual, Collection Ball, Handheld human assist) posture etc. Object; etc. and Use and “play.” Better for sports in unobscured, constrained SPORT: area with limited player APPLICATION: Soccer, Football, overlap (e.g. basketball). Training, Strategy, Basketball, Baseball, Less good for obscured, Fan Engagement, Golf, Running, Boxing, overlap, or large-area sports Safety/Health, Skiing, Swimming, (e.g. swimming, wrestling, General Fitness, General Fitness, skiing, distance running). etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: WEAR CAM COLLECTION: Human; Optical/Cam Data collection by one or (1, Many, Fixed, Worn), more wearable cameras Inertial, EM/RF/GPS, (e.g. head, torso, wrist). Pressure, Sound, Temp, etc. ELEMENTS: USER/SOURCE: Person Location, Rare now, but will increase Company*, Path, Speed, Accel, as cameras become less Coach/Team/Player, Orient, Posture,“Play”, obtrusive and more durable. Analyst/Writer*, Sports Data Pulse, EM, etc.; Fan/Individual, Collection Ball, Handheld Good for fan engagement etc. Object; etc. and Use and first-person perspective.

SPORT: Pattern recognition for (limited APPLICATION: Soccer, Football, inverse) location tracking. Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Better than fixed cameras for Safety/Health, Skiing, Swimming, large-area or scenic sports General Fitness, General Fitness, (e.g. running, biking, skydiving). etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: INERTIAL COLLECTION: Human; Optical/Cam Data collection by one or (1, Many, Fixed, Worn), more wearable inertial sensors Inertial, EM/RF/GPS, (e.g. accelerometers, gyros). Pressure, Sound, Temp, etc. ELEMENTS: Single sensor at one place on USER/SOURCE: Person Location, body (e.g. pedometer, smart Company*, Path, Speed, Accel, watch) can track steps Coach/Team/Player, Orient, Posture,“Play”, or overall “activity level.” Analyst/Writer*, Sports Data Pulse, EM, etc.; Fan/Individual, Collection Ball, Handheld Sensors at different body etc. Object; etc. and Use locations can track full-body posture/motion, but current SPORT: tech can be obtrusive, complex, APPLICATION: Soccer, Football, drift, and expensive. Improving. Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Good for obscured, large-area, Safety/Health, Skiing, Swimming, or complex-posture sports General Fitness, General Fitness, etc. (e.g. swimming, running, golf). etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: ElecMag COLLECTION: Human; Optical/Cam Data collection by worn EM (1, Many, Fixed, Worn), (ElectroMagnetic), RF Inertial, EM/RF/GPS, (Radio Freq) and/or GPS. Pressure, Sound, Temp, etc. ELEMENTS: Less good in some settings. USER/SOURCE: Person Location, Single RF/GPS sensor can Company*, Path, Speed, Accel, track general XY location; Coach/Team/Player, Orient, Posture,“Play”, good for large-area sports Analyst/Writer*, Sports Data Pulse, EM, etc.; (e.g. running, biking), but Fan/Individual, Collection Ball, Handheld limited for posture or “play.” etc. Object; etc. and Use Full-body EM sensor systems can be obtrusive, complex, SPORT: and range limited. APPLICATION: Soccer, Football, ECG, EEG, and EMG Training, Strategy, Basketball, Baseball, sensors measure Fan Engagement, Golf, Running, Boxing, heart/brain/muscle Safety/Health, Skiing, Swimming, activity and may increasingly General Fitness, General Fitness, also measure body posture. etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: PRESSURE COLLECTION: Human; Optical/Cam Data collection by wearable (1, Many, Fixed, Worn), pressure sensors in helmet, Inertial, EM/RF/GPS, hand-held equip, clothing, Pressure, Sound, Temp, etc. ELEMENTS: socks, shoes, etc. More USER/SOURCE: Person Location, common as sensors less Company*, Path, Speed, Accel, obtrusive and more durable. Coach/Team/Player, Orient, Posture,“Play”, Analyst/Writer*, Sports Data Pulse, EM, etc.; Measure impact/force for Fan/Individual, Collection Ball, Handheld performance and/or safety. etc. Object; etc. and Use Changes in pressures in tubes spanning joints to SPORT: est. changes in joint angles APPLICATION: Soccer, Football, -- to recognize body posture, Training, Strategy, Basketball, Baseball, motions, and “plays.” Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, Potential for obscured, large- General Fitness, General Fitness, area, or high-overlap sports. etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution Sports Data/Video COLLECTION: Analysis: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Active Analysis, Amisco Pressure, Sound, (Sport Universal Process), Temp, etc. ELEMENTS: Baseball Info Solutions, USER/SOURCE: Person Location, Company*, Path, Speed, Accel, Baseball Perspectives, Coach/Team/Player, Orient, Posture,“Play”, CourtVision, Dartfish, Analyst/Writer*, Pulse, EM, etc.; Elite Sports Analysis, Sports Data Fan/Individual, Ball, Handheld Collection EON Reality, IBM, etc. Object; etc. and Use Kizanaro, MasterCoach, OnCourt, Prozone (SUP), SPORT: SAP, APPLICATION: Soccer, Football, Scanball, Training, Strategy, Basketball, Baseball, Sport Universal Process, Fan Engagement, Golf, Running, Boxing, Sports Data Hub, Safety/Health, Skiing, Swimming, SportsBoard, Sportstec General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Pressure, Sound, Fixed Camera(s)-Only Temp, etc. ELEMENTS: Tracking USER/SOURCE: Person Location, Company*, Path, Speed, Accel, (primary sports focus): Coach/Team/Player, Orient, Posture,“Play”, Analyst/Writer*, Sports Data Pulse, EM, etc.; Charnwood Dynamics, Fan/Individual, Collection Ball, Handheld ChyronHego, etc. and Use Object; etc. Mikromak, Motion Reality, SPORT: Sportvision, APPLICATION: Soccer, Football, STATS Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Fixed Camera(s)-Only Pressure, Sound, Tracking Temp, etc. ELEMENTS: USER/SOURCE: Person Location, (less sports focus): Company*, Path, Speed, Accel, Coach/Team/Player, Orient, Posture,“Play”, B & L Engineering, Analyst/Writer*, Sports Data Pulse, EM, etc.; Microsoft, Fan/Individual, Collection Ball, Handheld Motion Analysis Corp, etc. Object; etc. and Use Organic Motion, Pfinder, SPORT: PhaseSpace, APPLICATION: Soccer, Football, Qualisys, Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Vicon Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Fixed Camera(s) Plus Inertial, EM/RF/GPS, Wearable Inertial Pressure, Sound, and/or Temp, etc. ELEMENTS: USER/SOURCE: Person Location, EM Tracking: Company*, Path, Speed, Accel, Coach/Team/Player, Orient, Posture,“Play”, Cairos Technologies, Analyst/Writer*, Sports Data Pulse, EM, etc.; Fan/Individual, Dynamic Athletic Collection Ball, Handheld etc. Object; etc. Research Institute, and Use GestureTek, GolfTEC, SPORT: APPLICATION: Motek, Soccer, Football, Northern Digital Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, (inc. Ascension) Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Wearable Camera: Pressure, Sound, Temp, etc. ELEMENTS: USER/SOURCE: Person Location, Autographer, Company*, Path, Speed, Accel, Google Glass, Coach/Team/Player, Orient, Posture,“Play”, Memoto Analyst/Writer*, Sports Data Pulse, EM, etc.; (see Narrative Clip), Fan/Individual, Collection Ball, Handheld Narrative Clip, etc. Object; etc. and Use Omate Watch, Parashoot, SPORT: Pivothead, APPLICATION: Soccer, Football, Samsung Gear, Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Vuzix Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution Wearable (Single) COLLECTION: Inertial Sensor: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Adidas, Aliphcom (Jawbone), Pressure, Sound, Amiigo, APDM, Applied Temp, etc. ELEMENTS: Technology Holdings, USER/SOURCE: Person Location, Basis Science, BodyMedia Company*, Path, Speed, Accel, (see Jawbone), Coach 2.0, Coach/Team/Player, Orient, Posture,“Play”, Analyst/Writer*, Fitbit, Fitbug, Freescale, Sports Data Pulse, EM, etc.; Fan/Individual, Goal Physics, Gruve, Collection Ball, Handheld etc. Object; etc. Hexoskin (Carre Tech.), and Use i1 Biometrics, InterSense, Jawbone (Aliphcom, SPORT: BodyMedia), K-Motion APPLICATION: Soccer, Football, Interactive, Lumo BodyTech, Training, Strategy, Basketball, Baseball, MicroStrain, Misfit Wearables, Fan Engagement, Golf, Running, Boxing, Safety/Health, Nike, Pebble, Plantronics, Skiing, Swimming, Qualcomm, Runner Groove, General Fitness, General Fitness, Ultimate Balance, Zepp Labs etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Pressure, Sound, Temp, etc. ELEMENTS: Inertial-Based USER/SOURCE: Person Location, Ball/Equipment/Object Company*, Path, Speed, Accel, Coach/Team/Player, Orient, Posture,“Play”, Tracking: Analyst/Writer*, Sports Data Pulse, EM, etc.; Fan/Individual, Collection Ball, Handheld AiLive, etc. and Use Object; etc. Creative Kingdoms, Nintendo, SPORT: SONY APPLICATION: Soccer, Football, Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Wearable Inertial Pressure, Sound, Multi-Sensor/Full-Body Temp, etc. ELEMENTS: USER/SOURCE: Person Location, Tracking: Company*, Path, Speed, Accel, Coach/Team/Player, Orient, Posture,“Play”, 3DSuit Inc (from Innalabs), Analyst/Writer*, Sports Data Pulse, EM, etc.; Animazoo, Fan/Individual, Collection Ball, Handheld Innalabs (see 3DSuit Inc), etc. Object; etc. and Use Minisun, Motion Workshop, SPORT: Notch, APPLICATION: Soccer, Football, Xsens Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Pressure, Sound, Wearable Heart Monitor: Temp, etc. ELEMENTS: USER/SOURCE: Person Location, Bionym, Company*, Path, Speed, Accel, Coach/Team/Player, Orient, Posture,“Play”, Clothing Plus (Clothing+), Analyst/Writer*, Impact Sports Tech., Sports Data Pulse, EM, etc.; Fan/Individual, Collection Ball, Handheld Physical Enterprises Inc, etc. and Use Object; etc. Preventice, Under Armour, SPORT: Zephyr Technology APPLICATION: Soccer, Football, Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Pressure, Sound, Temp, etc. ELEMENTS: USER/SOURCE: Person Location, Company*, Path, Speed, Accel, Wearable EEG Monitor: Coach/Team/Player, Orient, Posture,“Play”, Analyst/Writer*, Sports Data Pulse, EM, etc.; Brown University, Fan/Individual, Collection Ball, Handheld NeuroSky, etc. and Use Object; etc. Neurowear

SPORT: APPLICATION: Soccer, Football, Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Pressure, Sound, Temp, etc. ELEMENTS: USER/SOURCE: Person Location, Wearable EMG Monitor: Company*, Path, Speed, Accel, Coach/Team/Player, Orient, Posture,“Play”, Athos, Analyst/Writer*, Sports Data Pulse, EM, etc.; EMGSrus Fan/Individual, Collection Ball, Handheld (Motion Lab Systems), etc. and Use Object; etc. IMEC, Noraxon, SPORT: Thalmic Labs APPLICATION: Soccer, Football, Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Wearable RF/GPS/ Inertial, EM/RF/GPS, Non-Biological-EM Pressure, Sound, Tracking: Temp, etc. ELEMENTS: USER/SOURCE: Person Location, Company*, Path, Speed, Accel, Ascension Tech. Coach/Team/Player, Orient, Posture,“Play”, (see Northern Digital), Analyst/Writer*, Sports Data Pulse, EM, etc.; Catapult Sports, Fan/Individual, Collection Ball, Handheld Garmin, etc. and Use Object; etc. GPS Sports, Inmotio Object Tracking, SPORT: Polhemus/Alken, APPLICATION: Soccer, Football, Real Track Football, Training, Strategy, Basketball, Baseball, Trakus, Fan Engagement, Golf, Running, Boxing, ZXY Sport Tracking Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Pressure, Sound, Wearable Temp, etc. ELEMENTS: Pressure/Bend/Mech USER/SOURCE: Person Location, Sensors: Company*, Path, Speed, Accel, Coach/Team/Player, Orient, Posture,“Play”, Analyst/Writer*, Biomedtrics, Sports Data Pulse, EM, etc.; Fan/Individual, Biopac, Collection Ball, Handheld etc. and Use Object; etc. Heapsylon, Medibotics, Tactonic Technologies, SPORT: APPLICATION: Soccer, Football, Vista Medical Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Inertial, EM/RF/GPS, Pressure, Sound, Temp, etc. ELEMENTS: Electrically-Functional USER/SOURCE: Person Location, Clothing and Tattoos: Company*, Path, Speed, Accel, Coach/Team/Player, Orient, Posture,“Play”, Analyst/Writer*, AiQ Smart Clothing, Sports Data Pulse, EM, etc.; Fan/Individual, Collection Ball, Handheld MC10, etc. and Use Object; etc. TechnoSkin, Textronics (see Adidas) SPORT: APPLICATION: Soccer, Football, Training, Strategy, Basketball, Baseball, Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution COLLECTION: Human; Optical/Cam (1, Many, Fixed, Worn), Other & Potential: Inertial, EM/RF/GPS, Pressure, Sound, Temp, etc. ELEMENTS: Apple, USER/SOURCE: Person Location, Honda, Company*, Path, Speed, Accel, Immersion, Coach/Team/Player, Orient, Posture,“Play”, Analyst/Writer*, MapMyFitness Sports Data Pulse, EM, etc.; Fan/Individual, (see Under Armour), Collection Ball, Handheld etc. and Use Object; etc. Measurand, Metamotion, Proteus Digital Health, SPORT: APPLICATION: Soccer, Football, Rock My World, Training, Strategy, Basketball, Baseball, Vivonoetics Fan Engagement, Golf, Running, Boxing, Safety/Health, Skiing, Swimming, General Fitness, General Fitness, etc. etc.

*List of companies and publications at end. c 2013 Robert A. Connor: may be used with attribution SELECTED EXAMPLES AND APPLICATIONS BY SPORT

BASKETBALL: ● Lowe (2013d), "Seven Ways the NBA's New Camera System Can Change the Future of Basketball", Grantland ● Lowe (2013c), "A New View: The NBA Will Install STATS LLC Cameras in Every Arena in the League", Grantland ● Alamar et al. (2011a), "Beyond „Moneyball‟: The Rapidly Evolving World of Sports Analytics, Part I", Analytics Magazine ● Alamar et al. (2011b), "Sports Analytics, Part 2: The Role of Predictive Analytics, Organizational Structures and Information Systems in Professional Sports", Analytics Magazine ● Alamar et al. (2012), "Improving Resource Allocation with Portfolio Decision Analysis", Analytics Magazine ● Goldsberry (2012), "CourtVision: New Visual and Spatial Analytics for the NBA", MIT Sloan Sports Analytics Conference 2012 ● Gregory (2013), "Big Data Takes Big Step Forward In The NBA", Time ● Lowe (2013a), "The SportVU Follow-up: Answering the Most Common Questions and More Ghost Raptors", Grantland ● Lowe (2013b), "Lights, Cameras, Revolution", Grantland ● Pileggi (2012), "Snapshot: Visualization to Propel Ice Hockey Analytics", IEEE Transactions on Visualization and Computer Graphics ● Maheswaran (2012), "Deconstructing the Rebound with Optical Tracking Data", MIT Sloan Sports Analytics Conference 2012 ● Maymin (2013), "Towards an Algorithmic Taxonomy of Basketball Plays", MIT Sloan Sports Analytics Conference 2013 ● (2011), "The Importance of Being Open", queencityhoops.com ● Boudway (2013), "The NBA Will Now Track Every Player's Movements", Business Week ● Dubin (2012), "Basketball Enters the Space Age", ESPN.go.com (TrueHoop) ● Feldman (2012), "Analytically Inclined Coach: Oxymoron?", ESPN.go.com (TrueHoop) ● Henschen (2013), "4 Analytics Lessons From Professional Sports", Information Week ● Mason (2011), "Optical Tracking Data and the Importance of Screening in the Boston Celtics‟ Offense", Hoopspeak.com ● Schwartz (2013), "Net Loss: How the NBA's Love for Advanced Stats Has Slowed Our Understanding of the Game", Slate Magazine ● Weil (2011), "The Importance of Being Open: What Player Tracking Data Says about NBA Field", MIT Sloan Sports Analytics Conference 2011 ● Bourbousson et al. (2010b), "Space-Time Coordination Dynamics in Basketball: Part 2. The Interaction between the Two Teams", Journal of Sports Sciences ● Fisher (2013), "Missile-Tracking Tech Fuels Stats", Street & Smith's SportsBusiness Journal ● Garcia et al. (2013), "Identifying Basketball Performance Indicators in Regular Season and Playoff Games", Journal of Human Kinetics ● Schuhmann (2013), "The Evolution of NBA Stats", NBA.com ● Solieman (2006), "Data Mining in Sports: A Research Overview", MIS Masters ● Van Haaren et al. (2013b), Machine Learning and Data Mining for Sports Analytics ● Bourbousson et al. (2010a), "Space-Time Coordination Dynamics in Basketball: Part 1. Intra- and Inter-Couplings Among Player Dyads", Journal of Sports Sciences SOCCER: ● Randers et al. (2010), "Application of Four Different Football Match Analysis Systems: A Comparative Study", Journal of Sports Sciences ● Lemmick et al. (2013), "Tactical Performance Analysis in Invasion Games: Perspectives from a Dynamic System Approach with Examples from Soccer", Routledge Handbook of Sports Performance Analysis ● Oliver et al. (2013), "Assessing Team Strategy Using Spatiotemporal Data", 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ● Barris et al. (2008), "A Review of Vision-Based Motion Analysis in Sport", Sports Medicine ● Di Salvo et al. (2006), "Validation of PROZONE: A New Video-Based Performance Analysis System", International Journal of Performance Analysis in Sport ● Nandan (2013), "Live Analytics on High Velocity Sensor Data Streams Using Event- Based Systems", Journal of Industrial and Intelligent Information ● Neville et al. (2010), "Accelerometers: An Underutilized Resource in Sports Monitoring", Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2010 Sixth International Conference ● Pileggi (2012), "Snapshot: Visualization to Propel Ice Hockey Analytics", IEEE Transactions on Visualization and Computer Graphics ● Siegle (2013), "Design of an Accuracy Study for Position Detection in Football", Journal of Sports Sciences ● Carling et al. (2008), "The Role of Motion Analysis in Elite Soccer: Contemporary Performance Measurement Techniques and Work Rate Data", Sports Medicine ● Di Salvo et al. (2010), "Sprinting Analysis of Elite Soccer Players During European Champions League and UEFA Cup Matches", Journal of Sports Sciences ● Reilly (2007/2009), "Science and Football: An Update", Science and Football VI, the Proceedings of the Sixth World Congress on Science and Football ● Shestakov et al. (2007/2009a), "An Intelligent System for Analysis of Tactics in Soccer", Science and Football VI, the Proceedings of the Sixth World Congress on Science and Football ● Silva et al. (2011), "Development of a Tracking System Using Invisible Markers for Association Football", 7th World Congress on Science & Football (WCSF) ● Van Haaren et al. (2013b), Machine Learning and Data Mining for Sports Analytics ● Wixted et al. (2007), "Measurement of Energy Expenditure in Elite Athletes Using MEMS Based Triaxial Accelerometers", Sensors ● Bloomfield et al. (2007/2009), "Deceleration and Turning Movements Performed During FA Premier League Soccer Matches", Science and Football VI, the Proceedings of the Sixth World Congress on Science and Football ● Carling (2013), "Interpreting Physical Performance in Professional Soccer Match- Play: Should We be More Pragmatic in Our Approach?", Sports Medicine ● Folgado et al. (2012), "Length, Width and Centroid Distance as Measures of Youth Football Teams Tactical Performance During Small-Sided Games", European Journal of Sport Science ● Frencken et al. (2013), "Size Matters: Pitch Dimensions Constrain Interactive Team Behaviour in Soccer", Journal of Systems Science and Complexity ● Hewitt et al. (2007/2009), "Match Analyses of Australian International Female Soccer Players Using an Athlete Tracking Device", Science and Football VI, the Proceedings of the Sixth World Congress on Science and Football ● Lago et al. (2010), "The Effects of Situational Variables on Distance Covered at Various Speeds in Elite Soccer", European Journal of Sport Science ● Pena (2012), A Network Theory and Analysis of Football Strategies ● Reilly et al. (2007/2009), Science and Football VI, the Proceedings of the Sixth World Congress on Science and Football ● Duarte et al. (2013), "Capturing Complex, Non-Linear Team Behaviours During Competitive Football Performance", Journal of Systems Science and Complexity ● Fonseca (2013), "Measuring Spatial Interaction Behavior in Team Sports using Superimposed Voronoi Diagrams", International Journal of Performance Analysis in Sport ● Fonseca et al. (2012), "Spatial Dynamics of Team Sports Exposed by Voronoi Diagrams", Human Movement Science ● Frencken et al. (2011), "Oscillations of Centroid Position and Surface Area of Soccer Teams in Small Sided Games", European Journal of Sport Science ● Frencken et al. (2012), "Variability of InterTeam Distances Associated with Match Events in Elite-Standard Soccer", Journal of Sports Sciences

BASEBALL: ● Veverka (2013), "SportVision Has Unique Vision for Tech, Sports", USA Today ● Alamar et al. (2011a), "Beyond „Moneyball‟: The Rapidly Evolving World of Sports Analytics, Part I", Analytics Magazine ● Alamar et al. (2011b), "Sports Analytics, Part 2: The Role of Predictive Analytics, Organizational Structures and Information Systems in Professional Sports", Analytics Magazine ● Alamar et al. (2012), "Improving Resource Allocation with Portfolio Decision Analysis", Analytics Magazine ● Henschen (2013), "4 Analytics Lessons From Professional Sports", Information Week ● Pileggi (2012), "Snapshot: Visualization to Propel Ice Hockey Analytics", IEEE Transactions on Visualization and Computer Graphics ● Fichman et al. (2012), From Darwin to the Diamond: How Baseball and Billy Beane Arrived at Moneyball ● Solieman (2006), "Data Mining in Sports: A Research Overview", MIS Masters Project ● Van Haaren et al. (2013b), Machine Learning and Data Mining for Sports Analytics ● Baumer et al. (2013a), The Sabermetric Revolution: Assessing the Growth of Analytics in Baseball: Slideshow Preview to Book ● Baumer et al. (2013b), The Sabermetric Revolution: Assessing the Growth of Analytics in Baseball

FOOTBALL (AMERICAN): ● Solomon (2013), "SEC, Pac-12 and Big 12 will Electronically Track Football Players' Speeds and Movements", All Alabama ● Henschen (2013), "4 Analytics Lessons From Professional Sports", Information Week ● La Canfora (2012), "NFL Collecting Data that Could Revolutionize Websites, Video Games", CBS Sports

TENNIS: ● Barris et al. (2008), "A Review of Vision-Based Motion Analysis in Sport", Sports Medicine ● Duffield et al. (2010), "Accuracy and Reliability of GPS Devices for Measurement of Movement Patterns in Confined Spaces for Court-Based Sports", Journal of Science and Medicine in Sport ● Hines (2012), "How Sports are Embracing Big Data", CCCBlog.org

HOCKEY: ● Pileggi (2012), "Snapshot: Visualization to Propel Ice Hockey Analytics", IEEE Transactions on Visualization and Computer Graphics ● Weissbock et al. (2013), "Use of Performance Metrics to Forecast Success in the National Hockey League", Machine Learning and Data Mining for Sports Analytics

GOLF: ● Keating (2013), "Mr. Hot Shot: One Golf Fan is Changing the Way the Sport Approaches Shots", ESPN: The Magazine

RUNNING: ● Wixted et al. (2009), "Validation of Trunk Mounted Inertial Sensors for Analysing Running Biomechanics under Field Conditions, Using Synchronously Collected Foot Contact Data", Sports Engineering

RUGBY: ● Passos et al. (2006), "Interpersonal Dynamics in Sport: The Role of Artificial Neural Networks and 3-D Analysis", Behavior Research Methods

MULTIPLE SPORTS/GENERAL: ● Fry et al. (2012a), "Introduction to the Special Issue on Analytics in Sports, Part I: General Sports Applications", Interfaces ● Cochran (2010), "The Emergence of Sport Analytics", Analytics Magazine ● Coleman (2012), "Identifying the “Players” in Sports Analytics Research", Interfaces ● Varley et al. (2012a), "Validity and Reliability of GPS for Measuring Instantaneous Velocity During Acceleration Deceleration and Constant Motion", Journal of Sports Sciences ● Sports Analytics Issue, ESPN: Magazine ● Zimmerman (2013), MLSA13: Proceedings of “Machine Learning and Data Mining for Sports Analytics” Workshop 2013

Complete List of Referenced Companies 3DSuit Inc (from Innalabs?) Wearable Inertial Full-Body Tracking Active Analysis Sports Data/Video Analysis Adidas Wearable Inertial, Heart, and Pressure Tracking (sports) AiLive Inertial-Based Object Tracking AiQ Smart Clothing Wearable Electrically-Functional Fabric Aliphcom (see Jawbone) Wearable Inertial Tracking (sports) Amiigo Wearable Inertial Tracking (and heart monitoring and other) Amisco (see Sport Universal Process) Sports Data/Video Analysis Animazoo Wearable Inertial Full-Body Tracking (and other) APDM Wearable Inertial Tracking Apple Wearable Applications for Sports (potential wearables) Applied Technology Holdings Wearable Inertial Tracking (sports) Ascension (see Northern Digital/NDI) Camera-Based and Wearable EM-Based Full-Body Tracking Athos Wearable EMG Monitoring Autographer Wearable Camera B & L Engineering Camera-Based Full-Body Tracking Baseball Info Solutions Sports Data/Video Analysis Baseball Perspectives Sports Data/Video Analysis Basis Science Wearable Inertial Tracking (and other) Biomedtrics Wearable Mechanicial/Goniometer Tracking Bionym Wearable Heart Monitoring (for identification) Biopac Wearable Mechanicial/Goniometer Tracking Birmingham City University Wearable Inertial Tracking (and other, vibrating suit) BodyMedia (see Jawbone) Wearable Inertial Tracking (and other) Brown University Wearable EEG Monitoring Cairos Technologies Camera-Based and Wearable EM-Based Location Tracking (sports) Catapult Sports Wearable GPS and Inertial Tracking (sports) Charnwood Dynamics Camera-Based Full-Body Tracking (sports) ChyronHego Camera-Based Tracking (sports) Clothing Plus (Clothing+) Wearable Heart Monitoring (sports) Coach 2.0 Wearable Inertial Tracking (sports) CourtVision Sports Data/Video Analysis Creative Kingdoms Inertial and IR Based Object Tracking Dartfish Sports Data/Video Analysis Dynamic Athletic Research Institute Camera-Based and Wearable Inertial Tracking (sports) Elite Sports Analysis Sports Data/Video Analysis EMGSrus (Motion Lab Systems) Wearable EMG Monitoring EON Reality Sports Data/Video Analysis Fitbit Wearable Inertial Tracking (and altimeter) Fitbug Wearable Inertial Tracking (sports) Freescale Wearable Inertial Tracking and Pressure Sensors Garmin Wearable GPS and Inertial Tracking GestureTek Camera-Based and Touch-Based Gesture Tracking Goal Physics Wearable Inertial Tracking (sports) GolfTEC Camera-Based and Wearable Inertial Tracking (sports) Google Wearable Camera GPS Sports Wearable GPS and Inertial Tracking and Heart Monitoring (sports) Gruve (was Muve) Wearable Inertial Tracking Heapsylon Wearable Pressure-Tracking Fabric Hexoskin (Carre Technologies) Wearable Inertial Tracking (and heart monitoring and other) Honda Wearable Exoskeleton for Walking Assistance i1 Biometrics Wearable Inertial Tracking and Impact Monitoring (sports) IBM Sports Data/Video Analysis IMEC Wearable Neural Sensors Immersion Touch/Haptic Feedback Impact Sports Technologies Wearable Heart Monitoring (sports) Inmotio Object Tracking Wearable RF-Based Location and Heart Monitoring (sports) Innalabs (see 3DSuit Inc) Wearable Inertial Full-Body Tracking InterSense Wearable Inertial Tracking Jawbone (Aliphcom, inc. BodyMedia) Wearable Inertial Tracking (and other) Kizanaro Sports Data/Video Analysis K-Motion Interactive (KMI) Wearable Inertial Tracking (sports) Lumo BodyTech Wearable Inertial Tracking MapMyFitness (see Under Armour) Mobile Location Tracking/Planning MasterCoach Sports Data/Video Analysis MC10 Wearable Electronic Tattoos/Stickers Measurand Wearable Fiber-Optics for Shape Recognition Medibotics Wearable Pressure-Based Full-Body Tracking (early stage) Memoto (see Narrative Clip) Wearable Camera Metamotion System Distributor Microsoft Camera-Based Full-Body Tracking (and potentially more) MicroStrain Wearable Inertial Tracking Mikromak Camera-Based Full-Body Tracking (sports) Minisun Wearable Inertial Tracking (and other, multiple sensors) Misfit Wearables Wearable Inertial Tracking Motek Camera-Based and Wearable Inertial Tracking Motion Analysis Corporation Camera-Based Full-Body Tracking Motion Reality Camera-Based Tracking (sports) Motion Workshop Wearable Inertial Full-Body Tracking Narrative Clip (was Memoto) Wearable Camera NeuroSky Wearable EEG Monitoring Neurowear Wearable EEG Monitoring (and camera activation) Nike Wearable Inertial Tracking (sports) Nintendo Inertial-Based Object Tracking Noraxon Camera-Based and Wearable Inertial and EMG-Based Tracking Northern Digital (inc. Ascension) Camera-Based and Wearable EM-Based Full-Body Tracking Notch Wearable Inertial Tracking (multi-sensor) Omate Wearable Camera OnCourt Sports Data/Video Analysis Organic Motion Camera-Based Full-Body Tracking Parashoot Wearable Camera Pebble Wearable Inertial Tracking Pfinder Camera-Based Body-Recognition PhaseSpace Camera-Based Full-Body Tracking Physical Enterprises Inc Wearable Heart Monitoring (sports) Pivothead Wearable Camera Plantronics Wearable Inertial Tracking Polhemus/Alken Wearable EM-Based Full-Body Tracking Preventice Wearable Heart Monitoring Prozone (see Sport Universal Process) Sports Data/Video Analysis Qualcomm Wearable Inertial Tracking Qualisys Camera-Based Full-Body Tracking Real Track Football Wearable GPS Tracking and Heart Monitoring (sports) Rock My World Wearable Sensor-Based Music Selection Runner Groove Wearable Inertial Tracking (sports) Samsung Wearable Camera SAP Sports Data/Video Analysis Scanball Sports Data/Video Analysis SONY Inertial-Based Object Tracking Sport Universal Process Sports Data/Video Analysis Sports Data Hub Sports Data/Video Analysis SportsBoard Sports Data/Video Analysis Sportstec Sports Data/Video Analysis Sportvision Camera-Based Tracking (sports) STATS Camera-Based Tracking (sports) Tactonic Technologies Wearable Pressure Sensors TechnoSkin Wearable Electrically-Functional Fabric Textronics (see Adidas) Wearable Electrically-Functional Fabric Thalmic Labs Wearable EMG Monitoring and Inertial-Based Tracking Trakus EM/RF-Based Tracking (sports) Ultimate Balance Wearable Inertial Tracking Under Armour Wearable Heart Monitoring (and other, sports) Vicon Camera-Based Full-Body Tracking Vista Medical Wearable Pressure-Tracking Fabric Vivonoetics Wearable System Partnerships Vuzix Wearable Camera Xsens Wearable Inertial Full-Body Tracking Zephyr Technology Wearable Heart Monitoring (and other) Zepp Labs Wearable Inertial Tracking (sports) ZXY Sport Tracking Wearable RF-Based Location Tracking (sports)

Complete List of Articles and Books (sorted by source)

Author: Title: Source: Details: Frencken et al. Analysis of Player Interactions in Small-Sided 13th Annual Congress of the European Technical University of (2008) Soccer Games College of Sport Science (ECSS) Lisbon, Estoril, Portugal Frencken et al. Taking Initiative in Small-Sided Soccer Games 14th Annual Congress of the European Oslo, Norway (2009) College of Sport Science (ECSS) Frencken et al. Oscillations in Small-Sided Soccer Games 14th Annual Congress of the European Oslo, Norway, 73-74 (2009) College of Sport Science (ECSS) Oliver et al. Assessing Team Strategy Using Spatiotemporal 19th ACM SIGKDD International 1366-1374 (2013) Data Conference on Knowledge Discovery and Data Mining Kim (2011) Spatial and Spatiotemporal Analysis of Soccer 19th ACM SIGSPATIAL International Chicago, USA, Nov. 1-4, Conference on Advances in 385-388 Geographic Information Systems Sotiropoulos et Comparison in Goal Scoring Patterns Between 1st International Scientific Congress in Trikala, 2005 al. (2005) Greek Professional and Amateur Teams Soccer Zhu et al. (2002) Statstream: Statistical Monitoring of Thousands of 28th VLDB Conference August, 2002, 358-369 Data Streams in Real Time Frencken et al. Small-Sided Games in Soccer and Goal-Scoring 2nd International Congress on Complex Technical University of (2008) Opportunities Systems in Sport (ICCSS) Lisbon, Portugal Lames et al. Oscillations in Football: Order and Disorder in 2nd International Congress on Complex 114-115 (2008) Spatial Interactions Between the Two Teams Systems in Sport (ICCSS) Potter (2013) Remediation in Data Visualization: Two Examples 31st ACM International Conference on 2013 of Learning in Real-Time Data Processing Design of Communication Environments Lemmink et al. Tactical Match Analyses in Soccer: New 3rd International Congress on Complex Kaunas, Lithuania (2010) Perspectives from a Dynamical System Approach Systems in Medicine and Sport (ICCSMS) Fernandes et al. A New Method in Time-Motion Analysis in Soccer 5th World Congress on Science & Lisbon: Editorial (2003) Training and Competition Football (WCSF), Reilly et al (eds.) Gymnos, 270-271 Lemmink et al. Tactical Match Analysis in Soccer: New 7th World Congress on Science & Nagoya, Japan, 22 (2011) Perspectives? Football (WCSF) Frencken et al. Analysis of Game Dynamics and Related Game 7th World Congress on Science & Nagoya,Japan, 102 (2011) Events in 11v11 Soccer Football (WCSF) Silva et al. Development of a Tracking System Using 7th World Congress on Science & 8(Sup. 1), 103 (2011) Invisible Markers for Association Football Football (WCSF) Elferink-Gemser Multidimensional Performance Characteristics in 8th Annual Congress of the European Institute of Sport et al. (2003) Talented Youth Field Hockey Players: A College of Sport Science Science, University of Longitudinal Study Salzburg, Austria Pena (2012) --- A Network Theory and Analysis of University College Football Strategies London, Physics of Sports, Paris 2012 Rodrigues et al. Open Source Technologies Involved in Advances in Information Systems and Vol. 206, 2013, 715-723 (2013) Constructing a Web-Based Football Information Technologies / Advances in Intelligent System Systems and Computing Solomon (2013) SEC, Pac-12 and Big 12 will Electronically Track All Alabama http://www.al.com, Feb. Football Players' Speeds and Movements 26, 2013 Reich et al. A Spatial Analysis of Basketball Shot Chart Data American Statistician 60(1), 3-12 (2006) Olsen (1988) --- An Analysis of Goal Scoring Strategies London, 1988 in the World Championships in Mexico Cochran (2010) The Emergence of Sport Analytics Analytics Magazine Jan/Feb, 2010 Alamar et al. Beyond „Moneyball‟: The Rapidly Evolving World Analytics Magazine Sept/Oct., 2011 (2011a) of Sports Analytics, Part I Alamar et al. Sports Analytics, Part 2: The Role of Predictive Analytics Magazine Nov./Dec, 2011 (2011b) Analytics, Organizational Structures and Information Systems in Professional Sports Alamar et al. Improving Resource Allocation with Portfolio Analytics Magazine March/April, 2012 (2012) Decision Analysis Albert et al. --- Anthology of Statistics in Sports Society for Industrial (2005) and Applied Mathematics Lemmink et al. Physiological and Tactical Match Analyses in Ball Aportaciones Teóricas Y Practices Para Sevilla, Spain (2009) Team Sports: New Perspectives El Baloncesto Del Futuro Sanchez et al. GPS Applications in Sport Science Archivos De Medicina Del Deporte Vol. 23, No.112, pp 143- (2006) 152, Mar., 2006 Abdel-Aziz et al. Direct Linear Transformation From Comparator ASP Symposium on Close-Range American Society of (1971) Coordinates into Object Space Coordinates in Photogrammetry Photogrammetry Close-Range Photogrammetry Oliver (2002) --- Basketball on Paper Brassey‟s, Inc., 2002 Oliver (2004) --- Basketball on Paper: Rules and Tools Potomac Books Inc., for Performance Analysis 2004 Passos et al. Interpersonal Dynamics in Sport: The Role of Behavior Research Methods 38(4), 683-691 (2006) Artificial Neural Networks and 3-D Analysis Ozemek et al. Estimating Relative Intensity using Individualized BMC Medical Research Methodology 2013, 13:53 (2013) Accelerometer Cutpoints: The Importance of Fitness Level Boudway (2013) The NBA Will Now Track Every Player's Business Week Sept. 6, 2013 Movements La Canfora NFL Collecting Data that Could Revolutionize CBS Sports November 25, 2012 - (2012) Websites, Video Games Hines (2012) How Sports are Embracing Big Data CCCBlog.org 9/6/2012 Stevens (2013) --- Effects of Incentives: Evidence from Manuscript, April 27, Major League Baseball 2013 Abbott (2013) Bully Ball ESPN Magazine 5/13/2013, Vol. 16 Iss. 9, 29 Morty (2013) The Year Analytics Took Over the World ESPN Magazine 3/4/2013, Vol. 16 Iss. 4, 58 Dubin (2012) Basketball Enters the Space Age ESPN.go.com (TrueHoop) 3/3/2012 Feldman (2012) Analytically Inclined Coach: Oxymoron? ESPN.go.com (TrueHoop) March, 2, 2012 --- Sports Analytics Issue ESPN: Magazine Vol. 16 Issue 4, March 4, 2013 Keating (2013) Mr. Hot Shot: One Golf Fan is Changing the Way ESPN: The Magazine February 25, 2013 the Sport Approaches Shots Shi et al. (2013) Predicting NCAAB Match Outcomes Using ML European Conference on Machine Sept., 2013 Techniques: Some Results and Lessons Learned Learning and Principles and Practice of Knowledge Discovery in Databases Frencken et al. Oscillations of Centroid Position and Surface European Journal of Sport Science 11(4), 215-223 (2011) Area of Soccer Teams in Small Sided Games Lago et al. The Effects of Situational Variables on Distance European Journal of Sport Science 10, 103-109 (2010) Covered at Various Speeds in Elite Soccer Gomez et al. Effects of Game Location and Final Outcome on European Journal of Sport Science 12, 393-398 (2012) Game-Related Statistics in Each Zone of the Pitch in Professional Football Frencken et al. Length, Width and Centroid Distance as European Journal of Sport Science 2012 (2012) Measures of Youth Football Teams Tactical Performance During Small-Sided Games Folgado et al. Length, Width and Centroid Distance as European Journal of Sport Science 2012 (2012) Measures of Youth Football Teams Tactical Performance During Small-Sided Games Huijgen et al. Multidimensional Performance Characteristics in European Journal of Sport Science Online publication 27- (2011) Selected and Deselected Talented Soccer Sep-2012 Players Carling (2011) Influence of Opposition Team Formation on European Journal of Sport Science May, 2011, Vol. 11, Iss. Physical and Skill-Related Performance in a 3, 2011 Professional Soccer Team Frencken et al. Successful Performance in Soccer: Do Team European Workshop on Ecological University of Groningen, (2006) Dynamics Lead to Goal-Scoring Opportunities? Psychology 9 (EWEP) The Netherlands Zieba et al. Textronics: Electrical and Electronic Textiles: Fibres & Textiles in Eastern Europe Jan/Dec, 2006, Vol. 14, (2006) Sensors for Breathing Frequency Measurement No. 5 (59) Althoff et al. A Soccer Game Analysis of Two World Cups: Footwear Science 51-56 (2010) Playing Behavior Between Elite Female and Male Soccer Players Fichman et al. --- From Darwin to the Diamond: How Carnegie Mellon, July (2012) Baseball and Billy Beane Arrived at 16, 2012 Moneyball Lowe (2013a) The SportVU Follow-up: Answering the Most Grantland March 3, 2013 Common Questions and More Ghost Raptors Lowe (2013d) Seven Ways the NBA's New Camera System Grantland September 4, 2013 Can Change the Future of Basketball Lowe (2013b) Lights, Cameras, Revolution Grantland March 19, 2013 Lowe (2013c) A New View: The NBA Will Install STATS LLC Grantland August 23, 2013 Cameras in Every Arena in the League Carling et al. --- Handbook of Soccer Match Analysis: A Routledge (2005) Systematic Approach to Improving Performance Davids et al. Degenerate Brains, Indeterminate Behavior and Handbook of Sport Psychology Hoboken, NJ: John (2007) Representative Tasks: Implications for Wiley, 224-244 Experimental Design in Sport Psychology Research Mason (2011) Optical Tracking Data and the Importance of Hoopspeak.com March 8, 2011 Screening in the Boston Celtics‟ Offense Whelan (2011) Why the Mavs‟ Zone Defense Will Decide the Hoopspeak.com May 31, 2011 Finals Podgorski et al. A Half Century of Scientific Research in Field Human Movement 12:2, 108-123, 6/1/2011 (2011) Hockey Richardson et al. Rocking Together: Dynamics of Intentional and Human Movement Science 26, 867-891 (2007) Unintentional Interpersonal Coordination Travassos et al. Interpersonal Coordination and Ball Dynamics in Human Movement Science 30(6), 1245-1259 (2011) Futbol (Indoor Football) Correia et al. Prospective Information for Pass Decisional Human Movement Science 30(5), 984-997 (2011) Behavior in Rugby Union Fonseca et al. Spatial Dynamics of Team Sports Exposed by Human Movement Science 31, 1652-1659 (2012) Voronoi Diagrams Duarte et al. Intra- and Inter-Group Coordination Patterns Human Movement Science 2012 (2012) Reveal Collective Behaviors of Football Players Near the Scoring Zone Chen et al. Expert Prediction, Symbolic Learning, and Neural IEEE Expert 9(6), 21-27 (1994) Networks: An Experiment on Greyhound Racing Beetz et al. Computerized Real-Time Analysis of Football IEEE Pervasive Computing Vol. 4, No. 3, 33-39, (2005) Games 2005 Stelzer et al. Concept and Application of LPM: A Novel 3-D IEEE Transactions on Microwave Vol. 52, Iss. 12 ), 2664- (2004) Local Position Measurement System Theory and Techniques 2669 Pileggi (2012) Snapshot: Visualization to Propel Ice Hockey IEEE Transactions on Visualization and 18(12), Dec., 2012 Analytics Computer Graphics Rohrdantz, et al. Real-Time Visualization of Streaming Text Data: IEEE Vis Week October, 2011 (2011) Tasks and Challenges Norman et al. Dynamic Programming in Sport: A Survey of IMA Journal of Management 6(2), 171-176 (1995) Applications Mathematics Norman et al. OR in Sport IMA Journal of Management 16(2), 87-88 (2005) Mathematics Rodrigues et al. A Field, Tracking and Video Editor Tool for a Information Systems and Technologies 19-22, June, 2013, 1-6 (2013) Football Resource Planner (CISTI), 2013 8th Iberian Conference Henschen (2013) 4 Analytics Lessons From Professional Sports Information Week 3/4/2013 Henschen (2013) What Pro Sports Teaches Us about Analytics Informationweek 3/18/2013, Iss. 1360, 10 Horn et al. Attacking in Central Areas: A Preliminary Analysis Insight 3, 28-31 (2002) of Attacking Play in the 2001-2002 Premiership Season Neville et al. Accelerometers: An Underutilized Resource in Intelligent Sensors, Sensor Networks 2010 (2010) Sports Monitoring and Information Processing (ISSNIP), 2010 Sixth International Conference Bailey et al. --- Interactive Spatial Data Analysis 1st ed., John Wiley and (1995) Sons, NY, 1995 Coleman (2012) Identifying the “Players” in Sports Analytics Interfaces 42(2), 109-118, Research 4/1/2012 Fricker (2011) Editorial: The Ninth Rothkopf Rankings of Interfaces 41(6),548-563 Universities' Contributions to the INFORMS Practice Literature Broadie (2012) Assessing Golfer Performance on the PGA Interfaces 42(2), 146-165 TOUR Bonomo et al. An Application of the Traveling Tournament Interfaces 42(3), 245-259 (2012) Problem: The Argentine Volleyball League Saur et al. (2012) Scheduling Softball Series in the Rocky Mountain Interfaces 42(3), 296-309 Athletic Conference Chan et al. Quantifying the Contribution of NHL Player Types Interfaces 42(2), 131-145 (2012) to Team Performance Desarbo et al. Exploring the Demand Aspects of Sports Interfaces 42(2), 199-212 (2012) Consumption and Fan Avidity Duran et al. Operations Research Techniques for Scheduling Interfaces 42(3), 273-285 (2012) Chile‟s Second Division Soccer League Fricker (2009) Editorial: The Eighth Rothkopf Rankings of Interfaces 39(6), 533-539 Universities' Contributions to the INFORMS Practice Literature Hall et al. (2012) A Proposal for Redesign of the Fedex Cup Interfaces 42(2), 166-179 Playoff Series on the PGA Tour Hurley (2002) How Should Team Captains Order Golfers on the Interfaces 32(2), 74-77 Final Day of the Ryder Cup Matches? Ribeiro et al. Scheduling the Brazilian Soccer Tournament: Interfaces 42(3), 260-272 (2012) Solution Approach and Practice Trick et al. Scheduling Major League Baseball Umpires and Interfaces 42(3), 232-244 (2012) the Traveling Umpire Problem Streib et al. A Major League Baseball Team Uses Operations Interfaces 42(2), 119-130 (2012) Research to Improve Draft Preparation Grabau (2012) Softball Scheduling as Easy as 1-2-3 (Strikes Interfaces 42(3), 310-319 You‟re Out) Kostuk et al. A Decision Support System for Scheduling the Interfaces 42(3), 286-295 (2012) Canadian Football League Mcclure et al. Optimizing The Sunday Singles Lineup for a Interfaces 42(2), 180-190 (2012) Ryder Cup Captain Amoros et al. TEAM ASPAR Uses Binary Optimization to Interfaces 42(2), 191-198 (2012) Obtain Optimal Gearbox Ratios in Motorcycle Racing Fry et al. (2012b) Introduction to the Special Issue on Analytics in Interfaces 42(3), 229-231 Sports, Part II: Sports Scheduling Applications Fry et al. (2012a) Introduction to the Special Issue on Analytics in Interfaces 42(2), March-April, Sports, Part I: General Sports Applications 2012, 105-108 Taki et al. (1996) Development of Motion Analysis System for International Conference on Image 815-818 Quantitative Evaluation of Teamwork Processing Schollhorn Coordination Dynamics and Its Consequences on International Journal of Computer 2(2), 40-46 (2003) Sports Science in Sport Walter et al. Analysis of Sports Performance as a Dynamical International Journal of Computer 6(2), 35-41 (2007) System by Means of the Relative Phase Science in Sport McGarry et al. On the Detection of Space-Time Patterns in International Journal of Computer 6, 42-49 (2007) Squash Using Dynamical Analysis Science in Sport Taylor et al. A Comparison of Individual and Unit Tactical International Journal of Performance 5, 87-110 (2005) Behaviour and Team Strategy in Professional Analysis in Sport Soccer Taylor et al. Behavioural Comparisons of Positional Demands International Journal of Performance 4, 81-97 (2004) in Professional Soccer Analysis in Sport Seabra et al. Space Definition for Match Analysis in Soccer International Journal of Performance 6, 97-113 (2006) Analysis in Sport Nic (2006) Notational Analysis in Soccer: Past, Present and International Journal of Performance 6, 67-81 Future Analysis in Sport Tucker et al. Game Location Effects in Professional Soccer: A International Journal of Performance 5, 23-35 (2005) Case Study Analysis in Sport Jones et al. Team Performance Indicators in Rugby Union as International Journal of Performance 4, 61-71 (2004) a Function of Winning and Losing Analysis in Sport Konstadinidou et Offensive Playing Profiles of Football Teams from International Journal of Performance 5, 61-71 al. (2005) the 1999 Women‟s World Cup Finals Analysis in Sport O'Donoghue Time-Motion Analysis of Work-Rate in English FA International Journal of Performance 2, 36-43 (2002) Premier League Soccer Analysis in Sport Reed et al. An Exploration of Team Sport as a Dynamical International Journal of Performance 6, 114-125 (2006) System Analysis in Sport Di Salvo et al. Validation of PROZONE: A New Video-Based International Journal of Performance 6, 108-119 (2006) Performance Analysis System Analysis in Sport Luhtanen et al. A Comparative Tournament Analysis Between International Journal of Performance 4, 74-82 (2004) the EURO 1996 and 2000 In Soccer Analysis in Sport Yiannakos et al. Evaluation of the Goal Scoring Patterns in International Journal of Performance 6, 178-188 (2006) European Championship in Portugal 2004 Analysis in Sport Lago (2007) Are Winners Different from Losers? Performance International Journal of Performance 7, 36-47 and Chance in the FIFA World Cup Germany Analysis in Sport 2006 Armatas et al. Relationship Between Time and Goal Scoring in International Journal of Performance 7, 48-58 (2007) Soccer Games: Analysis of Three World Cups Analysis in Sport McGarry (2009) Applied and Theoretical Perspectives of International Journal of Performance 9, 128-140 Performance Analysis in Sports: Scientific Issues Analysis in Sport and Challenges Turner et al. The Influence of Transition Speed on Event International Journal of Performance 10, 207-220 (2010) Outcomes in a High Performance Football Team Analysis in Sport Redwood-Brown Passing Patterns Before and after Goal Scoring International Journal of Performance 8, 172-182 (2008) in FA Premier League Soccer Analysis in Sport Scoulding et al. Passing in the Soccer World Cup 2002 International Journal of Performance 4, 36-41 (2004) Analysis in Sport Ridgewell (2011) Passing Patterns Before and after Scoring in the International Journal of Performance 11, 562-574 2010 FIFA World Cup Analysis in Sport Jones et al. Possession as a Performance Indicator in Soccer International Journal of Performance 4, 98-102 (2004) Analysis in Sport Pulling et al. Defending Corner Kicks: Analysis from the International Journal of Performance 13:135-148| (2013) English Premier League Analysis in Sport Wright et al. Factors Associated with Goals and Goal Scoring International Journal of Performance 11, 438-449 (2011) Opportunities in Professional Soccer Analysis in Sport Fonseca (2013) Measuring Spatial Interaction Behavior in Team International Journal of Performance 13, 179-189 Sports using Superimposed Voronoi Diagrams Analysis in Sport Tenga et al. Characteristics of Goal-Scoring Possessions in International Journal of Performance 11, 545-552 (2011) Open Play: Comparing the Top, In-Between and Analysis in Sport Bottom Teams From Professional Soccer League Szczepanski Measuring the Effectiveness of Strategies and International Journal of Performance 82, 55-56 (2008) Quantifying Players‟ Performance in Football Analysis in Sport Lames et al. On the Search for Reliable Performance International Journal of Performance Vol. 7, No. 1, Jan., (2007) Indicators in Game Sports Analysis in Sport 2007, 62-79 Barris (2008) Automatic Tracking and the Analysis of Human International Journal of Performance Jul, 2008, Vol. 8 Issue 2, Movement Analysis in Sport 102 Avugos et Emotions and Decision Making in Sports the International Journal of Sport and Vol. 11, Issue 2, 2013 al.(2013) Elusive Reality of Efficacy-Performance Cycles in Exercise Psychology Special Issue, 184-202 Basketball Shooting: An Analysis of Players‟ Performance Under Invariant Conditions Tenenbaum et Emotions and Decision Making in Sports International Journal of Sport and Vol. 11, Iss 2, 2013, al. (2013) Emotions-Decision-Making in Sport: Theoretical Exercise Psychology Special Issue Conceptualization and Experimental Evidence Maymin et al. How Much Trouble is Early Foul Trouble? International Journal of Sport Finance 7, 324-339 (2012) Strategically Idling Resources in the NBA Lemmink et al. Analyses of Tactical Patterns in Ball Team International Journal of Sport 14(Sup. 4), 88-89 (2010) Sports: From 1 vs. 1 to Small-Sided Games Psychology Fernandes et al. Validation of the Tool for Applied and Contextual International Journal of Sport 41(Sup. 4), 63-64 (2010) Time-Series Observation Psychology Rampinini et al. Variation in Top Level Soccer Match Perfor International Journal of Sports Medicine 28(12), 1018-1024 (2007) Mance Hill-Haas et al. Generic Versus Small-Sided Game Training in International Journal of Sports Medicine 30(9), 636-642 (2009) Soccer Cometti et al. Isokinetic Strength and Anaerobic Power of Elite, International Journal of Sports Medicine 22, 45-51 (2001) Subelite and Amateur French Soccer Players Atkinson et al. Match-To-Match Variability of HighSpeed International Journal of Sports Medicine 31(4), 237-242 (2010) Activities in Premier League Soccer Di Salvo et al. Analysis of High Intensity Activity in Premier International Journal of Sports Medicine 30: 205-212 (2009) League Soccer Sampaio et al. Measuring Football Tactical Behaviour International Journal of Sports Medicine 33, 1-7 (2012) Russell et al. The Effects of Fatigue on Soccer Skills International Journal of Sports 6, 221-233 (2011) Performed During a Soccer Match Simulation Physiology and Performance Crombie et al. Emotional Intelligence Scores Predict Team International Journal of Sports Science 4, 2009 (2009) Sports Performance in National Cricket and Coaching Competition Mara et al. Attacking Strategies that Lead to Goal Scoring International Journal of Sports Science 7: 2012 (2012) Opportunities in High Level Women's Football and Coaching Fatemeh et al. Effectiveness of Types of Individual Defense International Research Journal of 3, 891-895 (2012) Performance in Achieving Success Applied and Basic Science Hot et al. (2005) The Condition for Dynamic Stability Journal of Biomechanics 38, 1-8 Witte et al. Accuracy of WAAS-Enabled GPS for the Journal of Biomechanics 38, 1717-1722 (2005) Determination of Position and Speed over Ground Waller (2013) Click Here for a Data Scientist: Big Data, Journal of Business Logistics Vol. 34, No. 4, Predictive Analytics, and Theory Development in 10/14/2013 the Era of a Maker Movement Supply Chain Dohmen (2008) Do Professionals Choke Under Pressure? Journal of Economic Behavior and 65(3), 636-653 Organization Lago et al. Ball Possession Strategies in Elite Soccer Journal of Human Kinetics 25, 93-100 (2010) According to the Evolution of the Match-Score: The Influence of Situational Variables Lago et al. Performance in Team Sports: Identifying the Keys Journal of Human Kinetics 25, 85-91 (2010) to Success in Soccer Castellano et al. The Use of Match Statistics that Discriminate Journal of Human Kinetics 31, 139-147 (2012) Between Successful and Unsuccessful Soccer Teams Almeida et al. Offensive Sequences in Youth Soccer: Effects of Journal of Human Kinetics 36, 97-106| (2013) Experience and Small-Sided Games Garcia et al. Identifying Basketball Performance Indicators in Journal of Human Kinetics Vol. 36, 2013, 163-170 (2013) Regular Season and Playoff Games Duthie et al. The Reliability of Video Based Time Motion Journal of Human Movement Studies 44, 259-271 (2003) Analysis Redwood-Brown The Impact of Different Standards of Opponents Journal of Human Sport and Exercise 7, 341-355 et al. (2012) on Observed Player Performance in the English Premier League Nandan (2013) Live Analytics on High Velocity Sensor Data Journal of Industrial and Intelligent Vol. 1, No. 1, Mar., 2013 Streams Using Event-Based Systems Information Passos et al. Interpersonal Pattern Dynamics and Adaptive Journal of Motor Behavior 41(5), 445-459 (2009) Behavior in Multiagent Neurobiological Systems: Conceptual Model and Data Passos et al. Interpersonal Distance Regulates Functional Journal of Motor Behavior 43(2), 155-163 (2011) Grouping Tendencies of Agents in Team Sports Fonseca et al. Approximate Entropy Normalized Measures for Journal of Motor Behavior 44(3), 179-183 (2012) Analyzing Social Neurobiological Systems Clemente et al. Team's Performance on FIFA U17 World Cup Journal of Physical Education and 12, 13-17 (2012) 2011: Study Based on Notational Analysis Sport Pagnano- A Model for Developing and Assessing Tactical Journal of Physical Education, 3(79), 24 Richardson et al. 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Strategic Patterns Discovery in RTS-Games for Machine Learning and Data Mining for ECML/PKDD 2013 (2013) E-Sport with Sequential Pattern Mining Sports Analytics workshop, 27 September, 2013, Haase et al. Finding Similar Movements in Positional Data Machine Learning and Data Mining for ECML/PKDD 2013 (2013) Streams Sports Analytics workshop, 27 September, 2013, Weiss et al. Maps for Reasoning in Ultimate Machine Learning and Data Mining for ECML/PKDD 2013 (2013) Sports Analytics workshop, 27 September, 2013, Zimmermann et Predicting NCAAB Match Outcomes Using ML Machine Learning and Data Mining for ECML/PKDD 2013 al. (2013) Techniques: Some Results and Lessons Learned Sports Analytics workshop, 27 September, 2013, Van Haaren et --- Machine Learning and Data Mining for ECML/PKDD 2013 al. (2013b) Sports Analytics workshop, 27 September, 2013, Weissbock et al. Use of Performance Metrics to Forecast Success Machine Learning and Data Mining for ECML/PKDD 2013 (2013) in the National Hockey League Sports Analytics workshop, 27 September, 2013, Radovanovic et A Novel Approach in Evaluating Efficiency of Management Journal for Theory and 2013, 67 al. (2013) Basketball Players Practice Management Winston (2009) --- Mathletics: How Gamblers, Managers, Princeton: Princeton UP, and Sports Enthusiasts Use 2009 Mathematics in Baseball, Basketball, and Football Thomas et al. Development of a Notational Analysis System for Measurement in Physical Education 13,108-121 (2009) Selected Soccer Skills of a Women‟s College and Exercise Science Team Duarte et al. Capturing Complex Human Behaviors in Medicina-Lithuania 46(6), 408-414 (2010) Representative Sports Contexts with a Single Camera Wisloff et al. Strength and Endurance of Elite Soccer Players Medicine and Science in Sports and 30, 462-467 (1998) Exercise Helgerud et al. 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Physical Demands During an Elite Female Medicine and Science in Sports and 37: 1242-1248, 2005 (2005) Soccer Game: Importance of Training Status Exercise Solieman (2006) Data Mining in Sports: A Research Overview MIS Masters Project Aug., 2006 Weil (2011) The Importance of Being Open: What Player MIT Sloan Sports Analytics Conference slideshare.net Tracking Data Says about NBA Field 2011 Maskias (2011) Referee Bias and the Home-Court Advantage in MIT Sloan Sports Analytics Conference 1-10 Professional Sports 2011 Piette (2011) Evaluating Basketball Player Performance via MIT Sloan Sports Analytics Conference 3/5/2011 Statistical Network Modeling 2011 Walters et al. To Tank or Not To Tank? Evidence from the NBA MIT Sloan Sports Analytics Conference March 2-3, 2012, (2012) 2012 Boston, MA, USA Goldman et al. Effort vs. Concentration: The Asymmetric Impact MIT Sloan Sports Analytics Conference March 1-2, 2012, (2012) of Pressure on NBA Performance 2012 Boston, MA Maheswaran Deconstructing the Rebound with Optical MIT Sloan Sports Analytics Conference March 2-3, 2012, (2012) Tracking Data 2012 Boston, MA, USA Brown et al. Insights from the LRMC Method for NCAA MIT Sloan Sports Analytics Conference March, 2012 (2012) Tournament Predictions 2012 Goldsberry CourtVision: New Visual and Spatial Analytics for MIT Sloan Sports Analytics Conference 2012 (2012) the NBA 2012 Maymin (2013) Towards an Algorithmic Taxonomy of Basketball MIT Sloan Sports Analytics Conference NYU-Polytechnic Plays 2013 Institute, Brooklyn, NY Zimmerman --- MLSA13: Proceedings of “Machine Report CW650, Nov., (2013) Learning and Data Mining for Sports 2013 Analytics” Workshop 2013 Abrams (2013) --- Moneyball in the National Football University of New League: A Statistical Based Method for Mexico, Division of Predicting Player Success in the NFL Physical Performance and Development Lewis (2004) --- Moneyball: The Art of Winning an W. W. Norton and Unfair Game Company, New York Kvam et al. A Logistic Regression/Markov Chain Model for Naval Research Logistics 53, 788-803 (2006) NCAA Basketball Schuhmann The Evolution of NBA Stats NBA.com 2/14/2013, (2013) stats.nba.com Huang et al. A Neural Network Method for Prediction of 2006 Neural Networks (IJCNN) IEEE, 1-8 (2010) World Cup Football Game Sternbergh Billy Beane of 'Moneyball' Has Given Up on His New York Times September 21, 2011 (2011) Own Hollywood Ending Kim (2004) Voronoi Analysis of a Soccer Game Nonlinear Analysis: Modelling and 9(3), 233-240 Control Chow et al. Nonlinear Pedagogy: A Constraints-Led Nonlinear Dynamics, Psychology, and 10(1), 71-103 (2006) Framework for Understanding Emergence of Life Sciences Game Play and Movement Skills Hughes et al. Notational Analysis: A Review of Literature Notational Analysis of Sport, Systems Routledge, Ch. 4, 59- (2004) for Better Coaching and Performance in 106 Sport, Hughes et al. (eds.) Wright (2009) 50 Years of OR in Sport Operations Research Soc., 60(S1) S161-S168 Brugha et al. Analytics for Enabling Strategy in Sport OR55 Annual Conference University of Exeter, 3-5 (2013) September 2013 KEYNOTE Riach (2007) --- Par for the Course: Golf Tips and Hallmark Books, Kansas Quips, Stats and Stories City, MO Carling et al. Match Analysis, Chapter 4 Performance Assessment for Field London: Routledge, 70- (2009) Sports 102 Carling et al. Physiological, Psychological, and Match Performance Assessment for Field Routledge, 2009 (2009) Notational Assessment Sports Lewis et al. Thinking About Choking? Attentional Processes Personality and Social Psychology 23(9), 937-944 (1997) and Paradoxical Performance Bulletin Deason (2006) Shotlink: A Statistical Superstar PGAtour.com http://www.pgatour.com/ story/9596346/ Jankovic et al. Influence of Certain Tactical Attacking Patterns Physical Culture 65, 34-45 (2010) on the Result Achieved by the Teams Participants of the 2010 FIFA World Cup in South Africa Dutch et al. Quantifying the Performance of Individual Players Plos ONE 5(6), 1093 (2010) in a Team Activity Serrano et al. Reliability of a New Method to Analyse and to Portuguese Journal of Sports Sciences 11(Sup. 2), 935-936 (2011) Quantify Athletes' Displacement Purucker (1996) Neural Network Quarterbacking Potentials, IEEE 15(3), 9-15 Yang et al. Predicting NBA Championship by Learning From Proceedings of Artificial Intelligence Spring, 2012 (2012) History Data and Machine Learning for Engineering Design Simen et al Demo: Bagadus An Integrated System for Soccer Proceedings of the International Oct. 30, 2012 - Nov. 2, (2012) Analysis Conference on Distributed Smart 2012 Cameras (ICDSC), 2012 Araujo et al. The Ecological Dynamics of Decision Making in Psychology of Sport and Exercise 7(6), 653-676 (2006) Sport Strauss (2002) Social Facilitation in Motor Tasks: A Review of Psychology of Sport and Exercise 3, 237-256 Research and Theory Gucciardi et al. Choking Under Pressure in Sensorimotor Skills: Psychology of Sport and Exercise 9(1), 45-59 (2008) Conscious Processing or Depleted Attentional Resources? Avugos et al The “Hot Hand” Reconsidered: A Meta-Analytic Psychology of Sport and Exercise Jan, 2013, Vol. 14 Iss. (2013) Approach 1, 21 Fotheringham et --- Quantitative Geography: Perspectives Sage Publications, al. (2000) on Spatial Analysis London, UK, 2000 --- (2011) The Importance of Being Open queencityhoops.com 2011 Grehaigne et al. Tactical Knowledge in Team Sports from a Quest 47, 490-505 (1995) Constructivist and Cognitivist Perspective Van Haaren et --- Relational Learning for Football-Related Preliminary Papers ILP, al. (2011) Predictions 2011 Barreira et al. In Search of Nexus Between Attacking Game- Research Methods and Performance University of West (2011) Patterns, Match Status and Type of Ball Analysis Hungary, 2011, 226-237 Recovery in European Soccer Championship 2008 Machado et al. Attacking Game-Patterns in Soccer: A Sequential Research Methods and Performance University of West (2011) Analysis of the World Cup 2010 Winner Team Analysis Hungary, 2011, pp 238- 245 Rees et al. The Use of Zone 14 as a Strategic Attacking Area Research Methods and Performance University of West (2011) in the English Championship Analysis Hungary, 2011, 205-211 Rees et al. The Effect of Match Status on Attacking Research Methods and Performance University of West (2011) Strategies in the English Championship Analysis Hungary, 2011, 172-177 McGarry et al. Development Application, and Limitation of a Research Quarterly for Exercise and 61; 406-415 (1996) Stochastic Markov Model in Explaining Sport Championship Squash Performance Szarc (2007) Efficacy of Successful and Unsuccessful Soccer Research Yearbook 13, 221-225 Teams Taking Part in Finals of Champions League Shestakov et al. A Formal Description of a Spatial Situation in Research Yearbook Medsportpress, Vol. 13, (2007b) Soccer No 1, 2007, 51-55 Garganta et al. Trends of Tactical Performance Analysis in Team Revista Portuguesa De Ciências Do 9, 81-89 (2009) Sports: Bridging the Gap Between Research, Desporto Training and Competition Lemmick et al. Tactical Performance Analysis in Invasion Routledge Handbook of Sports McGarry et al. (eds.), (2013) Games: Perspectives from a Dynamic System Performance Analysis Routledge, 89-100 Approach with Examples from Soccer McGarry (2013) --- Routledge Handbook of Sports McGarry et al. (eds.), Performance Analysis Routledge, 504 pages Ensum et al. Applications of Logistic Regression to Shots at Science and Football V Routledge,. 211–218 (2005) Goal in Association Football McGarry (2005) Soccer As a Dynamical System: Some Science and Football V, The Routledge, 561-570 Theoretical Considerations Proceedings of the Fifth World Congress on Science and Football, Reilly et al. (ed.) Reilly et al. --- Science and Football VI, the Reilly et al (eds.), (2007/2009) Proceedings of the Sixth World Routledge Press Congress on Science and Football Davids et al. Applications of Dynamical Systems Theory to Science and Football VI, the Routledge, 537-550 (2005) Football Proceedings of the Sixth World Congress on Science and Football, Reilly et al. (ed.) Frencken et al. Team Kinematics of Small-Sided Soccer Games: Science and Football VI, the Routledge, 161-166 (2007/2009) A Systematic Approach Proceedings of the Sixth World Congress on Science and Football, Reilly et al. (ed.) Reilly Science and Football: An Update Science and Football VI, the Reilly et al (eds.), (2007/2009) Proceedings of the Sixth World Routledge Press, p. 3 Congress on Science and Football Lees The Biomechanics of Football Skills Science and Football VI, the Reilly et al (eds.), (2007/2009) Proceedings of the Sixth World Routledge Press, p. 11 Congress on Science and Football Brice et al. Body Segment Orientations for Curved Running Science and Football VI, the Reilly et al (eds.), (2007/2009) in Soccer Players Proceedings of the Sixth World Routledge Press, p. 18 Congress on Science and Football Roberts et al. Player Perceptions of Soccer Ball Performance Science and Football VI, the Routledge, 24 (2009) Proceedings of the Sixth World Congress on Science and Football, Reilly et al. (ed.) Holmes et al. Development of a Mechanical Kicking Simulator Science and Football VI, the Reilly et al (eds.), (2007/2009) Proceedings of the Sixth World Routledge Press, p. 29 Congress on Science and Football Ball et al. (2009) Foot Interaction During Kicking in Australian Science and Football VI, the Routledge, 36 Rules Football Proceedings of the Sixth World Congress on Science and Football, Reilly et al. (ed.) Kristensen et al. Effect of Approach Velocity in Soccer Kicking Science and Football VI, the Reilly et al (eds.), (2007/2009) Proceedings of the Sixth World Routledge Press, p. 47 Congress on Science and Football Sayers Kinematic Analysis of High-Performance Rugby Science and Football VI, the Reilly et al (eds.), (2007/2009) Props During Scrum Training Proceedings of the Sixth World Routledge Press, p. 57 Congress on Science and Football Vanttinen et al. Heart Rate and Match Analysis of Finnish Junior Science and Football VI, the Reilly et al (eds.), (2007/2009) Football Players Proceedings of the Sixth World Routledge Press, p. 119 Congress on Science and Football Lago-Penas et Influence of Playing in the European Champions Science and Football VI, the Reilly et al (eds.), al. (2007/2009) League on Performance in the Spanish Football Proceedings of the Sixth World Routledge Press, p. 171 League Congress on Science and Football Bloomfield et al. Deceleration and Turning Movements Performed Science and Football VI, the Reilly et al (eds.), (2007/2009) During FA Premier League Soccer Matches Proceedings of the Sixth World Routledge Press, p. 174 Congress on Science and Football Zubillaga et al. Comparative Analysis of the High-Intensity Science and Football VI, the Reilly et al (eds.), (2007/2009) Activity of Soccer Players in Top-Level Proceedings of the Sixth World Routledge Press, p. 182 Competition Congress on Science and Football Shestakov et al. An Intelligent System for Analysis of Tactics in Science and Football VI, the Reilly et al (eds.), (2007/2009a) Soccer Proceedings of the Sixth World Routledge Press, p. 186 Congress on Science and Football Rebelo et al. Activity Profile, Heart Rate and Blood Lactate of Science and Football VI, the Reilly et al (eds.), (2007/2009) Futsal Referees During Competitive Games Proceedings of the Sixth World Routledge Press, p. 191 Congress on Science and Football Bergier et al. Analysis of Actions Ending With Shots at Goal in Science and Football VI, the Reilly et al (eds.), (2007/2009) the Women's European Football Championship Proceedings of the Sixth World Routledge Press, p. 197 (England 2005) Congress on Science and Football Kuroiwa et al. Game Characteristics of Asian Women's Rugby Science and Football VI, the Reilly et al (eds.), (2007/2009) Proceedings of the Sixth World Routledge Press, p. 202 Congress on Science and Football Krustrup et al. Match Activities and Fatigue Development of Elite Science and Football VI, the Reilly et al (eds.), (2007/2009) Female Soccer Players at Different Levels of Proceedings of the Sixth World Routledge Press, p. 205 Competition Congress on Science and Football Castellano et al. Diachronic Analysis of Interaction Contexts in the Science and Football VI, the Reilly et al (eds.), (2007/2009) 2006 World Cup Proceedings of the Sixth World Routledge Press, p. 212 Congress on Science and Football Billsberry et al. 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