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RESOURCES PAGE

lectureIn this page you can find some resources from us and from our contributors.
Arguments: economics, soccer, american football, basketball, motorsport, rugby, tennis, skiing, cycle sport and others.
Some few documents are saved on our server, but most of papers are linked to the original source: we cannot be responsible for anomalies.

If you have any note about contents of this page, please let us know.
Any suggestion about papers not in this page are welcome.

A selection of our slides is available in this section.



SLIDES
 
Lecture Università di Torino 2017 set #1
Lecture Università di Torino 2017 set #2
Lecture Università di Torino 2017 set #3
Lecture Università Cattolica, Milano 2017 set #1
Lecture Università Cattolica, Milano 2017 set #2
q4s classroom set - Introduction
q4s classroom set - Formula1 Analysis

GENERALISTIC
 
Data-Driven Ghosting using Deep Imitation Learning, (Le H.M., Carr P., Yue Y., Lucey P.)
Using AI to Correct Play-by-play Substitution Errors, (Wu S., Swartz T.)
Judging the judges: Evaluating the performance of international gymnastics judges, (Mercier H., Klahn C.)
Identifying the "Players" in Sports Analytics Research, (Coleman B.J.)
Machine Learning and Data Mining for Sports Analytics, (Haaren J.V., et al.)
Meta-Analytics: Tools for Understanding the Statistical Properties of Sports Metrics, (Franks A., et al.)
Survey of Sports Video Analysis: Research Issues and Applications, (Wang J. R., Parameswaran N.)
REAL-TIME SPORTS DATA AND THE FIRST AMENDMENT; (Ryan M. Rodenberg, John T. Holden & Asa D. Brown)
Bringing IoT to Sports Analytics; (Mahanth Gowda et al.)
A Resource-Aware and Time-Critical IoT Framework; (Laszlo Tokacet al.)
Nontraditional undergraduate research problems from sports analytics and related fields; (Carl R. Yerger)
Esports Analytics Through Encounter Detection; (Matthias Schubert et al.)
Scoring dynamics across professional team sports: tempo, balance and predictability; (Sears Merritt, Aaron Clauset)
Complex Sport Analytics; (Felix L.)
Modern Techniques and Technologies Applied to Training and Performance Monitoring; (Sands W.A. et al.)
Crowd-based Semantic Event Detection and Video Annotation for Sports Videos; (Giangreco I. et al.)
A Mine of Information: Can Sports Analytics Provide Wisdom From Your Data?; (Passfiels L., Hopker J.G.)
How data analytics can help to better understand your sport; (Robertosn S., Morgan S.)
Vertical Axis Detection for Sport Video Analytics; (Zeng R. et al.)
The Flemish Sports Compass From sports orientation to elite performance predicition; (Pion J.)
Performance analysis of sports persons using data mining based ranking and classification methods; (Rajeswari C.)
Improving load/injury predictive modelling in sport: The role of data analytics; (Robertson S.J.)
Accurate ball trajectory tracking and 3D visualization for computer-assisted sports broadcast; (Olaizola I.G. et al.)
Visual Analytics for Multivariate Sorting of Sport Event Data; (Chung DHS et al.)
Analytics for enabling strategy in sport; (Brugha C.M. et al.)
Injury Study Report 2015/16; (UEFA)
Working in Sports Analytics; (Swartz T.B.)
Bringing IoT to Sports Analytics; (Gowda M. et al.)
Analytics in Sports: The New Science of Winning; (Davenport T.H.)
Sports Analytics; (Silva R.M.)
Complex Sport Analytics: Introduction; (Lebed F.)

Sports Analytics and Data Science, Winning the Game with Methods and Models; (MILLER T.W.) full book
Sports Analytics: Advancing Decision Making Through Technology and Data; (Maxcy J., Drayer J.)
How to Make Sense of Team Sport Data: From Acquisition to Data Modeling and Research Aspects; (Stein M. et al.)
Big 2’s and Big 3’s: Analyzing How a Team’s Best Players Complement Each Other; (Ayer R.)
Sports Predictive Analytics: NFL Prediction Model; (Ash Pahwa)


ECONOMICS and BUSINESS

 
Professionalization of New Zealand Rugby Union: Historical Background, Structural Changes and Competitive Balance; (Owen P.D., Weatherston C. R.)
The Economic Impacts and Occupational Analysis of the North Carolina Motorsports Industry for 2005, (Connaughton J.E., Madsen R.A.)
Why do marketing partnerships end? Evidence from global sport sponsorships, (Jensen J.A., Cornwell T.B.)
Is the Price Right? An Analysis of the National Football League Ticket Market relative to the Great Recession, (Singer B.)
Competition From Sports Hurts TV Ratings: How to Shift League Calendars to Optimize Viewership, (Pagels J.)
Sponsorship Revenue Forecasting for Sport Organizations: A Survival Analysis Approach, (Jensen J.A.)
Salary Allocation and Risk Preferences in the National Football League: The Implications of Salary Allocation in Understanding the Preferences of NFL Owners, (Chakravarthy P.)
The NFL’s Current Business Model and the Potential 2011 Lockout, (Fisher J.I.)
Resource Efficiency of the Ski Industry in New Zealand, (Reiser A.)
SKIING TRENDS, (Goeldner C.R., Standley S.)
Climate change and the skiing industry in southern Ontario (Canada): exploring the importance of snowmaking as a technical adaptation, (Scott D., McBoyle G., Mills B.)
The Economic Impacts of the Motorsports Industry On the North Carolina Economy, (Connaughton J.E., et al.)
Fan Equity Part 1: Measurement and Management of Sports Organization’s Brand Equity; (Lewis M., Tripath M.)
A Guide to Season Ticket Holder Management; (Lewis M., Tripathi M.)
Marketing Analytics & Marketing Assets: Brand Equity, Customer Equity, & Dynamic Pricing; (Lewis M., Tripathi M.)
Brand Equity Development in College Football; (Lewis M., Tripathi M.)
Football Clubs’ Valuation: the European Elite 2017; (KPMG)
Football 50 2016 - The most valuable football brands of 2016; (BrandFinance)
Big 2’s and Big 3’s: Analyzing How a Team’s Best Players Complement Each Other; (Ayer R.) - MBA
Winning in the Business of Sports; (A.T. Kearney Korea LLC)
The business of sports; (KPMG)
The costs-issue in production for Bugatti; (Rosso A.F.)
Beyond Crowd Judgments: Data-Driven Estimation of Market Value in Association Football; (Oliver Müller, Alexander Simons, Markus Weinmann)
Advances in Sport Sponsorship Revenue Forecasting: An Event History Analysis Approach; (Jensen J.A., Turner B.A.)
Analytics in Sport Marketing; (Mumcu C., Fried G.)
Dynamic Pricing Usage in Sports for Revenue Management; (Bouchet A. et al.)
Activating a global sport sponsorship with social media: An analysis of TOP sponsors, Twitter, and the 2014 Olympic Games; (Abeza G. et al.)

INNOVATION

DIGITAL INNOVATION IN THE SPORT INDUSTRY:THE CASE OF ATHLETIC PERFORMANCE; (Iannella F., Morandini A.)

Bagadus: An Integrated System for Arena Sports Analytics – A Soccer Case Study; (Halvorsen P. et al.)

PARASPORTS WORLD

Layman’s Guide to Paralympic Classification
Visually Impaired Friendly Athletics - A Guide for Supporting Visually Impaired Adults and Children in Athletics
ELIGIBILITY AND CLASSIFICATION OF ELITE ATHLETES WITH INTELLECTUAL DISABILITIES(ID) FOR THE PARALYMPICS: THE ROLE OF PSYCHOLOGY; (Burns J.)
The Sports-Related Injuries and Illnesses in Paralympic Sport Study (SRIIPSS): a study protocol for a prospective longitudinal study; (Fagher K, et al.)
World Para Athletics - Rules and Regulations 2016-2017
Guidelines for the inclusion of Para-athletes in Road Races
The inclusive management of the Paralympic Sports; (Gérard S.)
Construction and validation of three instruments for the technical evaluation of progress, high jump and shot put; (Valenzuela A. V. et al.)
Analysis of the 2016 Rio Paralympics personal best swim times; (Bacon C., Peterson C.J.)
Managing the Paralympics; (Hammond A.)
Biomechanics in Paralympics: Implications for Performance; (Morren F. et al.)

SOCCER

The Pressing Game: Optimal Defensive Disruption in Soccer; (Bojinov I., Bornn L.)
The harsh rule of the goals: data-driven performance indicators for football teams; (Cintia P., Pappalardo L., Pedreschi D., Giannotti F., Malvaldi M.)
Physics-Based Modeling of Pass Probabilities in Soccer, (Spearman W., Basye A., Dick G., Hotovy R., Pop P.)
Flow Motifs in Soccer: What can passing behavior tell us? (Bekkers J., Dabadghao S.)
Analyzing In-Game Movements of Soccer Players at Scale, (Gyarmati L., Hefeeda M.)
Football Mining with R, Data Mining Applications with R (Yanchang Z., Yonghua C. eds.), chapter 14, Elsevier; (Carpita M., Sandri M., Simonetto A., Zuccolotto P.)
Discovering the Drivers of Football Match Outcomes with Data Mining, Quality Technology and Quantitative Management, 12, 4, 537-553; (Carpita M., Sandri M., Simonetto A., Zuccolotto P.)
Relational Learning for Football-Related Predictions, (Van Haaren J., Van den Broeck G.)
Automatically Discovering Offensive Patterns in Soccer Match Data, (Van Haaren J., at al.)
Optimizing draft strategies in fantasy football, (Chakravarthy P.)
Analyzing and Predicting Events in Soccer and Tennis using Spatiotemporal Data; (X. Wei, S. Sridharan et al.)
Bagadus: An Integrated System for Arena Sports Analytics – A Soccer Case Study –; (Pål Halvorsen et al.)
Developing a Data-Driven Player Ranking in Soccer Using Predictive Model Weights; (Joel Brooks, Matthew Kerr, John Guttag)
MoneyBall- Sport Analytics - Soccer; (Nikravesh M.)
Visual Soccer Analytics: Understanding the Characteristics of Collective Team Movement Based on Feature-Driven Analysis and Abstraction; (Stein M. et al.)
Seasonal Linear Predictivity in National Football Championships; (Jurman G.)
Applying machine learning to event data in soccer; (Kerr M.G.S.)
Infortunio nel calcio: una ricerca essenziale; (Malfatti L., Rosso G.)
Statistica e calcio giovanile; (Malfatti L., Rosso G.)

AMERICAN FOOTBALL
 
An innovative approach to National Football League standings using optimal bonus points; (Winchester N., Stefani R. T.)
Optimal Bonus Points in the Australian Football League; (Lenten L., Winchester N.)
American Football Route Identification Using Supervised Machine Learning, (Hochstedler J., Gagnon P.)
Finding the Open Receiver: A Quantitative Geospatial Analysis of Quarterback Decision?Making, (Hochstedler J.)

BASEBALL
 
A switching dynamic generalized linear model to detect abnormal performances in Major League Baseball, (Glynn C., Tokdar S.T.)
Tracking Pitcher Performance with Instantaneous Component ERA and Moving Averages, (Salmon J.L., Harrison W.K.)
Arsenal/Zone Rating: A PitchF/X based pitcher projection system, (Pei Zhe Shu)
Testing Pitch Recognition to Improve Talent Identification and Player Development, (Fadde P.J., Müller S.)
zWins, an Alternative Calculation of Wins Above Replacement in Baseball, (King W.)
The Hot-Hand Fallacy: Cognitive Mistakes or Equilibrium Adjustments? Evidence from Major League Baseball, (Green B., Zwiebel J.)

BASKETBALL

 
CHARACTERIZING THE SPATIAL STRUCTURE OF DEFENSIVE SKILL IN PROFESSIONAL BASKETBALL ; (Franks A., Miller A., Bornn L., Goldsberry K.)
A Multiresolution Stochastic Process Model for Predicting Basketball Possession Outcomes ; (Cervone D., D'Amour A., Bornn L., Goldsberry K.)
FACTORIZED POINT PROCESS INTENSITIES: A SPATIAL ANALYSIS OF PROFESSIONAL BASKETBALL ; (Miller A., Bornn L., Adams R., Goldsberry K.)
BodyShots: Analyzing Shooting Styles in the NBA using Body Pose, (Felsen P., Lucey P.)
From Sports to Science: Using Basketball Analytics to Broaden the Appeal of Math and Science Among Youth, (Drazan J.F., Loya A., Horne B.D., Eglash R.)
Possession Sketches: Mapping NBA Strategies, (Miller A.C., Bornn L.)
A PageRank Model for Player Performance Assessment in Basketball, Soccer and Hockey, (Brown S.)
A data-driven method for understanding and increasing 3-point shooting percentage, (Marty R., Lucey S.)
Classifying NBA Offensive Plays Using Neural Networks, (Wang K-C., Zemel R.)
Accounting for Complementary Skill Sets When Evaluating NBA Players’ Values to a Specific Team, (Kuehn J.)
The Van Exel Effect: Adjusting for Scorekeeper Bias in NBA Box Scores, (van Bommel M., Luke Bornn L.)
Recognizing and Analyzing Ball Screen Defense in the NBA, (McIntyre A., Brooks J., Guttag J., Wiens J.)
NBA Court Realty, (Cervone D., Bornn L., Goldsberry K.)
Preventing in-game injuries for NBA players, (Talukder H., Vincent T., Foster G., Hu C., Huerta J., Kumar A., Malazarte M., Saldana D., Simpson S.)
Move or Die: How Ball Movement Creates Open Shots in the NBA, (Authors Blinded)
Measuring NBA Players' Mood by Mining Athlete-Generated Content; (Xu C., Yu Y)

MOTORSPORTS
 
Statistical Analysis of F1 Monaco Grand Prix 2016. Relations Between Weather, Tyre Type and Race Stints; (Rosso G., Rosso A.F.)
A Tale of Two Motorsports: A Graphical Statistical Analysis of How Practice, Qualifying, and Past Success Relate to Finish Position in NASCAR and Formula One Racing, (Silva K. M., Silva F. J.)
The Economic Impacts and Occupational Analysis of the North Carolina Motorsports Industry for 2005, (Connaughton J.E., Madsen R.A.)
Real-Time Decision Making in Motorsports: Analytics for Improving Professional Car Race Strategy, (Christopher Ledesma Weisen Choo)
THE THEORY AND PRACTICE OF RACE-VEHICLE DATA ACQUISITION AND ANALYSIS IN MOTOR-SPORTS ENGINEERING EDUCATION, (Lopez G., Seaber A.)
Assess the risk of pit stopping, using probability and Game Theory with Sequential Game Decision Making ; (Rosso G.)
Car racing simulations: Monte Carlo Method vs Latin Hypercube Sampling ; (Rosso G.)
Mining Muscle Use Data for Fatigue Reduction in IndyCar, (Kataoka Y., Junkins D.)
A system for aiding the user assimilation of acquired motorsport data; (Parker M.C.)
Development of Electric Formula SAE Real-time Telemetry Software, (Yi Tan F.)
Avoiding the Pitfalls in Motorsports Data Acquisition; (Southward S., Conner H.)
The effects of prior affect and sensory stimuli on motorsport spectators’ in-the-moment experiences; (Kyu-soo Chung, Dong Soo Ryu, Seunghwan Lee)
Innovative Computer Technology in Professional Motorsports; (Purnell, A.)
Energy Efficient Motorsport - A New Alternative Fuel Equivalence Strategy; (Ermers R.)
Mechanical Hybrid System Comprising a Flywheel and CVT for Motorsport and Mainstream Automotive Applications; (Cross D., Brockbank C.)
Examination of a Properly Restrained Motorsport Occupant; (Patalak J., Gideon T., Melvin J.)
Advances in Wind Tunnel Aerodynamics for Motorsport Testing; (Arnette S., Martindale B.)
Development of an Effective, Low-Cost Internet-Based Motorsport Driver Simulation; (Kaemmer D., Benwick I., Porter S.)
Ballistic Testing of Motorsport Windshields; (Patalak J., Gideon T.)
Motorsport Sensor Technology; (Barnes D., McDonald R., Hill C., van Manen P.)
Motorsport Injuries: Current Trends and Treatment Concepts; (Gorove L. et al.)
Development of Composite Chassis for Motorsports; (Radford D.W.)
Numerical Investigation on Various Heat Exchanger Performances to Determine an Optimum Configuration for Charge Air Cooler, Oil and Water Radiators in F1 Sidepods; (Salmon P. et al.)
216 Movit Yellow Flag (automatic track safety system); (Spliethof M.)
What makes a motorsports event enjoyable? The case of Macau Grand Prix; (Couto U. et al.)
Formula E: Next Generation Motorsport with Next Generation Fans; (Standaert W., Jarvenpaa S.)
SOCIAL PERCEPTION GRAND PRIX EUROPEAN FORMULA 1 BETWEEN THE CITIZENS OF VALENCIA; (Duclos D. et al.)

RUGBY
 
Shifting the ‘goal posts’: What is the optimal allocation of Super Rugby competition points? (Winchester N.)
Secondary Behavioural Incentives: Bonus Points and Rugby Professionals; (Lenten L., Winchester N.)
Should bonus points be included in the Six Nations Championship? (Winchester N.)
Uncertainty of outcome and Super 12 rugby union attendance: application of a general-to-specific modelling strategy; (Owen P.D., Weatherston C.R., Owen D., Alexander R., Dobson S., Knowles S., Thomas A., Winchester N.)

ATHLETICS
 
STATISTICS OF EXTREMES IN ATHLETICS, (Henriques-Rodrigues L.)
Epidemiology of Stress Fractures in Collegiate Student-Athletes, 2004–2005 Through 2013–2014 Academic Years, (Rizzone K.H. et al.)
Enhanced Strength and Sprint Levels, and Changes in Blood Parameters during a Complete Athletics Season in 800 m High-Level Athletes, (Bachero-Mena B. et al.)
On the Importance of "Front-Side Mechanics" in Athletics Sprinting, (Haugen T. et al.)
Athletic Events and Statistics of Extremes: Estimation of Useful Parameters, (Gomes M.I. et al.)
Records in athletics through extreme-value theory, (Einmahl J.H.J. et al.)
Evolution of Athletic Records: Statistical Effects versus Real Improvements, (GEMBRIS D. et al.)

TENNIS
 
"The Thin Edge of the Wedge": Accurately Predicting Shot Outcomes in Tennis using Style and Context Priors; (Wei X., Lucey P., Morgan S., Reid M., Sridharan S.)
Hot heads, cool heads, and tacticians: Measuring the mental game in tennis, (Kovalchik S., Ingram M.)
SET-BY-SET ANALYSIS METHOD FOR PREDICTING THE OUTCOME OF PROFESSIONAL SINGLES TENNIS MATCHES, (Madurska A.M.)
TenniVis: Visualization for Tennis Match Analysis, (Polk T., Jing Yang, Yueqi Hu, and Ye Zhao)
Spatio-temporal Analysis of Tennis Matches, (Vinyes Mora S., Knottenbelt W.J.)
Geovisualizing spatio-temporal patterns in tennis: An alternative approach to post-match analysis, (Demaj D.)
An Automatic Visual Analysis System for Tennis, (Connaghan D., Moran K., O'Connor N.E.)
BIOMECHANICAL ANALYSIS OF TOP TENNIS PLAYERS, (Ariel G. Braden V., Penny A., Probe J., Buijs R., Finch A.)
The Power of Sight: The Case of Hawk-Eye in Tennis, (Kelkar  S.)
An automatic system for sports analytics in multi-camera tennis videos, (Martín Nieto R., Martínez Sánchez J.M.)
Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model, (Klaassen F.J.G., Magnus J.R.)
Winning in straight sets helps in Grand Slam tennis, (Goossens D.R., et al.)
ANALYSIS OF MOVEMENT VELOCITY AND DISTANCE COVERED IN WHEELCHAIR TENNIS, (Filip?i? T., Filip?i? A.)
An investigation to determine the kinematic variables associated with the production of topspin in the tennis groundstrokes, (Protheroe L.)
Forecasting the winner of a tennis match, (Klaassen F.J.G.M., Magnus J.R.)
Teaching Mathematics and Statistics Using Tennis; (Noubary R.)
Probability of Winning at Tennis I. Theory and Data; (Newton P.K. Keller J.B.)
Jacob Bernoulli and the Mathematics of Tennis; (Sylla E.D.)
Teaching Mathematics and Statistics Using Tennis; (Noubary R.)
Probability of Winning at Tennis I. Theory and Data; (Newton P.K., Keller J.B.)
Jacob Bernoulli and the Mathematics of Tennis; (Sylla E.D.)
Forensic Sports Analytics: Can We Detect Match-Fixing in Tennis?; (Oliver (Hatfield O. et al.)
An Analysis of Losing Unimportant Points in Tennis; (Kush R. Varshney)
Detecting match-fixing in tennis;(Tim Paulden)
Machine Learning for the Prediction of Professional Tennis Matches; (Michal Sipko)
Analytics in the ATP; (Christopher Pillitere)

SKIING
 
A stochastic rank ordered logit model for rating multi-competitor games and sports; (Glickman M.E., Hennessy J.)
Aerodynamic drag is not the major determinant of performance during giant slalom skiing at the elite level,(Supej M., et al.)

CYCLE SPORT
 
Mining efficient training patterns of non-professional cyclists; (Cintia P., Pappalardo L., Pedreschi D.)
"Engine Matters": A First Large Scale Data Driven Study on Cyclists' Performance; (Cintia P., Pappalardo L., Pedreschi D.)

MARTIAL ARTS
 
Mixed Membership Martial Arts: Data-Driven Analysis of Winning Martial Arts Styles, (Hackett S.R., Storey J.D.)

HOCKEY
 
Evaluating Defensive Ability in Hockey Using Passing Data, (Stimson R., Cane M.)
Apples-to-Apples: Clustering and Ranking NHL Players Using Location Information and Scoring Impact, (Schulte O., Zhao Z.)
Draft by Numbers: Using Data and Analytics to Improve National Hockey League (NHL) Player Selection, (Schuckers M.E.)

GOLF
 
Ranking the Skills of Golfers on the PGA TOUR using Gradient Boosting Machines and Network Analysis, (Levin A.)
DATA MINING IN GOLF PREDICTIVE ANALYTICS IN SPORTS PERFORMANCE SEMINAR
Improving Performance Analysis in Golf with Data Mining Approaches, (Robertson S.J.)
WORK AND POWER ANALYSIS OF THE GOLF SWING, (Nesbit S.M., Serrano M.)
Accentuated Loss Aversion in PGA Tournaments: Does Company Matter?; (Deepak Dhayanithy, Varsha Singh)

VOLLEYBALL
 
Bump, Set, Spike: Using Analytics to Rate Volleyball Teams and Players, (Bagley C., Ware B.)
KINEMATIC ANALYSIS OF VOLLEYBALL JUMP TOPSPIN AND FLOAT SERVE, (Huang C., Lin-Huan Hu)
Match Analysis in Volleyball: a systematic review, (Silva M., Marcelino R., Lacerda D., João P.V.)
Analyzing Volleyball Match Data from the 2014 World Championships Using Machine Learning Techniques, (Van Haaren J., Shitrit H.B., Davis J., Fua P.)
ANALYSIS OF THE LÍBERO’S INFLUENCE IN DIFFERENT MATCH PHASES IN VOLLEYBALL, (Rentero L., João P.V., Moreno M. P.)
Beach volleyball serve type recognition; (Cuspinera L.P. et al.)

CRICKET
 
Auto-play: A Data Mining Approach to ODI Cricket Simulation and Prediction; (Sankaranarayanan V.V. et al.)

RIFLE AND PISTOL SHOOTING
 
PERFORMANCE ANALYSIS IN RIFLE SHOOTING; (YLI-JASKARI K., HEINULA J.)
Statistical Methods for Determining Optimal Rifle Cartridge Dimensions; (Andersona S.M., Boneh S., Grevstad N.)
Analyzing shape, accuracy, and precison of shooting results with shot Groups
Validating the use of a dumbbell to measure body sway in female Olympic air pistol shooting; (Mona D., Zakynthinakib M.S., Cordentea C.A.)
Pistol Group Analysis
Effect of exercise intensity on shooting performance in the sport of Summer Biathlon; (Higginson B.K.)
The effects of augmented feedback on motor skill learning in shooting; (Mononen K.)
Group Size Statistical Analysis
PHYSICAL TRAINING In Shooting Sports; (Kilty K., Todorovic Z., Yli-Jaskari K.)

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