| REPOSITORY
|
|
|
| This was originally the old repository from Quant4sport, now discontinued. |
| 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 corrupted links. |
| If
you have any note about contents of this page, please let us know: Any suggestion about papers not in this page are welcome. |
|
|
| 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 |
|
| SPORT
ANALYTICS LAB - student's final works |
|
| Formula E Analisi dei tempi di permanenza ai box (Marasco V.) |
| Formula E Venturi (Giaveno O.) |
| Arbitri e VAR - designazioni mondiali (Gambino V.) |
| La miglior difesa vince sempre? (Cutraro M., Irene A., Ligotti R.) |
| Le due facce di Manchester (Romeo E.) |
| New York Maraton (Fornelli G., Giolitti G., Giorgio F.) |
| Mancini nel tennis (Bianchelli P., Cencig M., Crosetti D., Ughetti A.) |
| The
tennis serve (Amerio F. G.) |
| Tifosi, dalla presenza sui social alla presenza allo stadio (Brindisi F., Mambrino M., Piccot T.) |
| La scelta di un pilota di Formula E da parte di uno sponsor (Artuso L. et al.) |
| Infortuni in tre diversi sport (Accordo A. et al.) |
| Fattore Allianz Stadium sulle performance della Juventus (Ottaviani K.) |
| Big Data nell'NBA (Carlino M et al.) |
| Analisi dell'efficienza dei giocatori NBA (Varaldo M.) |
| Campionato Sarie A 18/19 (El Fahim Z. et al.) |
| Olimpiadi Rio 2016 analisi tuffi da piattaforma |
| La presenza delle Società Calcistiche italiane sui Social Network (Liberti S.) |
| Giro d'Italia tournover: an analysis (Garino G.) |
| Ricavi dell'Allianz Stadium e impatto del Covid-19 (Soldan S., Coda G.) |
| Scuderia Ferrari (Giuliano G.) |
| Il Grande Torino: tra mito e realtà (Balocco M.) |
| Il calcio femminile (Lavelli A., Penna M., Cardone G.) |
| The
world of games: eSports (Anello A.) |
| Wimbledon: l'impatto sui social network (Alfarone G., Conte S., Hamdi G., Kolaveri L., Marino C., Sarracco E.) |
| Analisi gol subiti dalla Juventus nel Campionato di Serie A 2019/2020 (Castelli I.) |
| Moto GP: chi parte primo arriva primo? (Centrella E., Guernieri L., Midana E., Patrascu M.) |
| Analisi calcistica delle 5 squadre top d'Europa (Stefirca C., Amprimo F., Iacoviello S., De Robertis G., Emidi G.) |
| ATALANTA B.C. 2016-2020: un’analisi quantitativa dell’impresa firmata Dea (Colombi M.) |
| L'influenza di Zlatan Ibrahimovic sulle prestazioni del Milan (Salvatore E., Salvatore D., Gattuso A., Vittore M., Amati A.) |
| Analisi della prestazione sportiva-fisica di Corneliano Roero-Canelli (De Simone T.) |
| Il calcio femminile vs Il calcio maschile (Gattai E.) |
| Fattore "Kobe" (Heffler S., Magazzini F.) |
| Il Fattore Casa nella Pallacanestro (Marchese M.) |
| Rafael Nadal al Roland Garros Alla ricerca della miglior partita di sempre (Perrone C.M.) |
| GOALBALL Paralimpiadi Rio 2016 (Picco S., Rolando C.) |
| RED BULL VS ALPHA TAURI UN CONFRONTO SU MONZA (Ruzza R., Aquilano A., Capano M., Zungri S.) Calci
di rigore caso o necessità (Pietrobono E.) |
|
| 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
2Â’s and Big 3Â’s: Analyzing How a TeamÂ’s Best Players Complement Each Other; (Ayer R.) |
| Sports
Predictive Analytics: NFL Prediction Model; (Ash Pahwa) |
| Spatio-temporal
movements in team sports: a visualization approach using motion charts. Electronic Journal of Applied Statistical Analysis, 10(03), 809-831; (Metulini, R.) Sports
Data Analytics: A Case Study of off-Field Behavior of Players; (Malini
Mrityunjay Patil, et al.) Sports Big Data: Management, Analysis, Applications, and Challenges; (Zhongbo Bai, Xiaomei Bai) Sports
Analytics Algorithms for Performance Prediction; (Koudoumas, Paschalis) A Dockerized Big Data Architecture for Sports Analytics; (Yavuz Melih Özgüven et al.) The
Influence of Emotional Intelligence on Performance in Competitive Sports: A Meta-Analytical Investigation; (Alexandra Kopp, Darko Jekauc) Analytic
Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, 2nd ed; (S. Ejaz Ahmed) |
|
| ECONOMICS and BUSINESS |
|
| L’analisi di bilancio della Juventus: uno strumento quantitativo per la misurazione della performance economica e aziendale; (ROSSO A.F.) |
| Retombées
économiques du Grand Prix 2017 en Principauté; (IMSEE Monaco) |
| 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
NFLÂ’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 OrganizationÂ’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
ClubsÂ’ Valuation: the European Elite 2017; (KPMG) |
| Football
50 2016 - The most valuable football brands of 2016; (BrandFinance) |
| Big
2Â’s and Big 3Â’s: Analyzing How a TeamÂ’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.) Analysing
data mining methods in sports analytics: a case study in NHL player salary prediction; (Stepan Mincev) |
|
| 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.) Big data in sport analytics: applications and risks; (Euodia Vermeulen, Sarma Venkata Yadavalli) The
development of a sports statistics web application: Sports Analytics and Data Models for a sports data web application; (Alvarsson, Andreas) Learning
and Data Mining for Sports; (Albrecht Zimmermann, Jesse Davis) Discovering
methods of scoring in soccer using tracking data; (Warnakulasuriya et al.) |
|
| BIOMECHANICS |
|
| Lower Limb Compression Socks with Biomechanical Concepts; (Sergio D., Rosso G., Malfatti L., Testa M., Licciardi A.) Preventative Aspects of Muscle Displacement in the Running Athlete; (Sergio D., Rosso G., Malfatti L., Testa M., Licciardi A.) |
|
| 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 |
|
| Evaluation
of referees’ performance in international football games; (Lalli M.) |
| 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.) |
| Statistical analysis regional championship "giovanissimi"; (Malfatti L., Rosso G.) |
| Analysis
of Corner Kick Success in Elite Football (Casal C., et al.) |
| Effectiveness
of Indirect Free Kicks in Elite Soccer (Casal C., et al.) |
| A Proposed Decision Rule for the Timing of Soccer Substitutions (Myers BR.) |
| Finding
square pegs for square holes: identifying player types for scouting |
| Network
analysis and football team performance: a first application (Trequattrini R. et al) |
| “Win
at Home and Draw Away”: Automatic Formation Analysis Highlighting the Differences in Home and Away Team Behaviors (Bialkowski A. et al.) |
| Modelli statistici per riprodurre caratteristiche di stile di gioco per le squadre di calcio (Mori L.) Making Offensive Play Predictable - Using a Graph Convolutional Network to Understand Defensive Performance in Soccer; (Michael Stöckl et al.) Sports Analytics for Football League Table and Player Performance Prediction; (Victor Chazan – Pantzalis, Christos Tjortjis) Analyzing
and predicting events in soccer and tennis using spatiotemporal data; (Wei, Xinyu, Sridharan, Sridha) |
|
| 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.) Simulation-Based
Decision Making in the NFL using NFLSimulatoR; (Benjamin Williams) |
|
| 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 PlayersÂ’ 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) |
| Filtering
procedures for sensor data in basketball. Statistics
& Application, 15(2); (Metulini, R.) |
| Modelling
the dynamic pattern of surface area in basketball and its effects on team performance. Journal of Quantitative Analysis in Sports, 14(3), 117-130; (Metulini R., Manisera M., Zuccolotto P.) |
| Modello statistico per la determinazione e valutazione della performance sportiva di un giocatore di pallacanestro; (Bianchelli, P.) Predicting NBA Talent from Enormous Amounts of College Basketball Tracking Data; (A.N. Patton, et al.) |
|
| 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 spectatorsÂ’ 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.) |
| LA PERFORMANCE DELLE MONOPOSTO DI FORMULA-E CONDIZIONATA DALLA VARIAZIONE DELLA TEMPERATURA ATMOSFERICA; (Artuso L.) |
|
| 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) |
| Complex
Network Analysis of Men Single ATP Tennis Matches (Michieli U.) Analyzing
and predicting events in soccer and tennis using spatiotemporal data; (Wei, Xinyu, Sridharan, Sridha) |
|
| 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.) |
| L'analisi della performance di Marta Bassino nelle gare di GS dell'Audi FIS Ski World Cup 2019-2020 (Malfatti L.) AUDI FIS SKI WORLD CUP 2020/2021 - LA PERFORMANCE DI MARTA BASSINO; (Malfatti L.) |
|
| 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.) Regulating
full contact martial arts and combat sports: how governmentality as an analytical framework informs practices of the governing of sports; (Marianne Dortants) |
|
| 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 LÍBEROÂ’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.) |
| E-SPORTS |
|
| CScore
– A Real Time Application for E-sports: PROVIDING LIVE UPDATES OF PROFESSIONAL MATCHES; (Annergren, Björn; Ulug, Daniel) The
Development of Sports: A Comparative Analysis of the Early Institutionalization of Traditional Sports and E-Sports; (Summerley, Rory) When
cyberathletes conceal their game: Clustering confusion matrices to identify avatar aliases; (Olivier Cavadenti et al.) eSport:
Construct specifications and implications for sport management; (Cunningham, G. et al.) Knowledge
Mapping and Sustainable Development of eSports Research: A Bibliometric and Visualized Analysis; (Weisheng Chiu et al.) On
the Scientific Relevance of eSports; (Michael G. Wagne) What
are the motivational aspects to spectate eSports or other live gaming streams?; (Anttila, Pauli) |
| Number of papers: 302 |