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the QUANT4SPORT RESOURCES PAGE
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In this page you can find some resources from us and from our
contributors.
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Arguments: economics, soccer, american football, basketball,
motorsport, rugby, tennis, skiing, cycle sport and others.
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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.
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If you have any note about contents of this page, please let us know: Any
suggestion about papers not in this page are welcome.
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SLIDES
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Lecture Università di Torino 2017
set #1
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Lecture Università di Torino 2017
set #2
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Lecture Università di Torino 2017
set #3
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Lecture Università Cattolica,
Milano 2017 set #1
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Lecture Università Cattolica,
Milano 2017 set #2
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q4s classroom set - Introduction
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q4s classroom set - Formula1
Analysis
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SPORT ANALYTICS LAB - student's final works
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Formula E Analisi dei tempi di
permanenza ai box (Marasco V.)
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Formula E Venturi (Giaveno O.)
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Arbitri e VAR - designazioni
mondiali (Gambino V.)
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La miglior difesa vince sempre?
(Cutraro M., Irene A., Ligotti R.)
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Le due facce di Manchester (Romeo
E.)
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New York Maraton (Fornelli G.,
Giolitti G., Giorgio F.)
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Mancini nel tennis (Bianchelli P.,
Cencig M., Crosetti D., Ughetti A.)
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The tennis serve (Amerio F. G.)
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Tifosi, dalla presenza sui social
alla presenza allo stadio (Brindisi F., Mambrino M., Piccot T.)
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La scelta di un pilota di Formula
E da parte di uno sponsor (Artuso L. et al.)
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Infortuni in tre diversi
sport (Accordo A. et al.)
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Fattore Allianz Stadium sulle
performance della Juventus (Ottaviani K.)
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Big Data nell'NBA (Carlino M
et al.)
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Analisi dell'efficienza dei
giocatori NBA (Varaldo M.)
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Campionato Sarie A 18/19 (El
Fahim Z. et al.)
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Olimpiadi Rio 2016 analisi tuffi
da piattaforma
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La presenza delle Società
Calcistiche italiane sui Social Network (Liberti S.)
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Giro d'Italia tournover: an
analysis (Garino G.)
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Ricavi dell'Allianz Stadium e
impatto del Covid-19 (Soldan S., Coda G.)
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Scuderia Ferrari (Giuliano G.)
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Il Grande Torino: tra mito e
realtà (Balocco M.)
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Il calcio femminile (Lavelli A.,
Penna M., Cardone G.)
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The world of games: eSports
(Anello A.)
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Wimbledon: l'impatto sui social
network (Alfarone G., Conte S., Hamdi G., Kolaveri L., Marino C., Sarracco
E.)
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Analisi gol subiti dalla Juventus
nel Campionato di Serie A 2019/2020 (Castelli I.)
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Moto GP: chi parte primo arriva
primo? (Centrella E., Guernieri L., Midana E., Patrascu M.)
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Analisi calcistica delle 5 squadre
top d'Europa (Stefirca C., Amprimo F., Iacoviello S., De Robertis G., Emidi
G.)
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ATALANTA B.C. 2016-2020:
un’analisi quantitativa dell’impresa firmata Dea (Colombi M.)
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L'influenza di Zlatan Ibrahimovic
sulle prestazioni del Milan (Salvatore E., Salvatore D., Gattuso A.,
Vittore M., Amati A.)
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Analisi della prestazione
sportiva-fisica di Corneliano Roero-Canelli (De Simone T.)
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Il calcio femminile vs Il calcio
maschile (Gattai E.)
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Fattore "Kobe" (Heffler
S., Magazzini F.)
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Il Fattore Casa nella
Pallacanestro (Marchese M.)
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Rafael Nadal al Roland Garros Alla
ricerca della miglior partita di sempre (Perrone C.M.)
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GOALBALL Paralimpiadi Rio 2016
(Picco S., Rolando C.)
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RED BULL VS ALPHA TAURI UN
CONFRONTO SU MONZA (Ruzza R., Aquilano A., Capano M., Zungri S.)
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GENERALISTIC
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Data-Driven Ghosting using Deep
Imitation Learning, (Le H.M., Carr P., Yue Y., Lucey P.)
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Using AI to Correct Play-by-play
Substitution Errors, (Wu S., Swartz T.)
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Judging the judges: Evaluating the
performance of international gymnastics judges, (Mercier H., Klahn C.)
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Identifying the
"Players" in Sports Analytics Research, (Coleman B.J.)
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Machine Learning and Data Mining
for Sports Analytics, (Haaren J.V., et al.)
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Meta-Analytics: Tools for
Understanding the Statistical Properties of Sports Metrics, (Franks A., et
al.)
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Survey of Sports Video Analysis:
Research Issues and Applications, (Wang J. R., Parameswaran N.)
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REAL-TIME SPORTS DATA AND THE
FIRST AMENDMENT; (Ryan M. Rodenberg, John T. Holden & Asa D. Brown)
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Bringing IoT to Sports Analytics;
(Mahanth Gowda et al.)
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A Resource-Aware and Time-Critical
IoT Framework; (Laszlo Tokacet al.)
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Nontraditional undergraduate
research problems from sports analytics and related fields; (Carl R. Yerger)
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Esports Analytics Through
Encounter Detection; (Matthias Schubert et al.)
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Scoring dynamics across
professional team sports: tempo, balance and predictability; (Sears Merritt,
Aaron Clauset)
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Complex Sport Analytics; (Felix
L.)
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Modern Techniques and Technologies
Applied to Training and Performance Monitoring; (Sands W.A. et al.)
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Crowd-based Semantic Event
Detection and Video Annotation for Sports Videos; (Giangreco I. et al.)
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A Mine of Information: Can Sports
Analytics Provide Wisdom From Your Data?; (Passfiels L., Hopker J.G.)
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How data analytics can help to
better understand your sport; (Robertosn S., Morgan S.)
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Vertical Axis Detection for Sport
Video Analytics; (Zeng R. et al.)
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The Flemish Sports Compass From
sports orientation to elite performance predicition; (Pion J.)
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Performance analysis of sports
persons using data mining based ranking and classification methods;
(Rajeswari C.)
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Improving load/injury predictive
modelling in sport: The role of data analytics; (Robertson S.J.)
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Accurate ball trajectory tracking
and 3D visualization for computer-assisted sports broadcast; (Olaizola I.G.
et al.)
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Visual Analytics for Multivariate
Sorting of Sport Event Data; (Chung DHS et al.)
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Analytics for enabling strategy in
sport; (Brugha C.M. et al.)
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Injury Study Report 2015/16;
(UEFA)
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Working in Sports Analytics; (Swartz
T.B.)
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Bringing IoT to Sports Analytics;
(Gowda M. et al.)
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Analytics in Sports: The New
Science of Winning; (Davenport T.H.)
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Sports Analytics; (Silva R.M.)
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Complex Sport Analytics:
Introduction; (Lebed F.)
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Sports Analytics and Data Science,
Winning the Game with Methods and Models; (MILLER T.W.) full book
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Sports Analytics: Advancing
Decision Making Through Technology and Data; (Maxcy J., Drayer J.)
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How to Make Sense of Team Sport
Data: From Acquisition to Data Modeling and Research Aspects; (Stein M. et al.)
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Big 2Â’s and Big 3Â’s: Analyzing
How a TeamÂ’s Best Players Complement Each Other; (Ayer R.)
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Sports Predictive Analytics: NFL
Prediction Model; (Ash Pahwa)
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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)
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ECONOMICS and BUSINESS
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L’analisi di bilancio della
Juventus: uno strumento quantitativo per la misurazione della performance
economica e aziendale; (ROSSO A.F.)
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Retombées économiques du Grand
Prix 2017 en Principauté; (IMSEE Monaco)
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Professionalization of New Zealand
Rugby Union: Historical Background, Structural Changes and Competitive
Balance; (Owen P.D., Weatherston C. R.)
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The Economic Impacts and
Occupational Analysis of the North Carolina Motorsports Industry for 2005,
(Connaughton J.E., Madsen R.A.)
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Why do marketing partnerships end?
Evidence from global sport sponsorships, (Jensen J.A., Cornwell T.B.)
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Is the Price Right? An Analysis of
the National Football League Ticket Market relative to the Great Recession,
(Singer B.)
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Competition From Sports Hurts TV
Ratings: How to Shift League Calendars to Optimize Viewership, (Pagels J.)
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Sponsorship Revenue Forecasting
for Sport Organizations: A Survival Analysis Approach, (Jensen J.A.)
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Salary Allocation and Risk
Preferences in the National Football League: The Implications of Salary
Allocation in Understanding the Preferences of NFL Owners, (Chakravarthy P.)
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The NFLÂ’s Current Business Model
and the Potential 2011 Lockout, (Fisher J.I.)
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Resource Efficiency of the Ski
Industry in New Zealand, (Reiser A.)
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SKIING TRENDS, (Goeldner C.R.,
Standley S.)
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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.)
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The Economic Impacts of the
Motorsports Industry On the North Carolina Economy, (Connaughton J.E., et
al.)
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Fan Equity Part 1: Measurement and
Management of Sports OrganizationÂ’s Brand Equity; (Lewis M., Tripath M.)
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A Guide to Season Ticket Holder
Management; (Lewis M., Tripathi M.)
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Marketing Analytics &
Marketing Assets: Brand Equity, Customer Equity, & Dynamic Pricing;
(Lewis M., Tripathi M.)
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Brand Equity Development in
College Football; (Lewis M., Tripathi M.)
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Football ClubsÂ’ Valuation: the
European Elite 2017; (KPMG)
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Football 50 2016 - The most
valuable football brands of 2016; (BrandFinance)
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Big 2Â’s and Big 3Â’s: Analyzing
How a TeamÂ’s Best Players Complement Each Other; (Ayer R.) - MBA
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Winning in the Business of Sports;
(A.T. Kearney Korea LLC)
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The business of sports; (KPMG)
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The costs-issue in production for
Bugatti; (Rosso A.F.)
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Beyond Crowd Judgments:
Data-Driven Estimation of Market Value in Association Football; (Oliver
Müller, Alexander Simons, Markus Weinmann)
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Advances in Sport Sponsorship
Revenue Forecasting: An Event History Analysis Approach; (Jensen J.A., Turner
B.A.)
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Analytics in Sport Marketing;
(Mumcu C., Fried G.)
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Dynamic Pricing Usage in Sports
for Revenue Management; (Bouchet A. et al.)
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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)
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INNOVATION
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DIGITAL INNOVATION IN THE SPORT
INDUSTRY:THE CASE OF ATHLETIC PERFORMANCE; (Iannella F., Morandini A.)
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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.)
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BIOMECHANICS
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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.)
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PARASPORTS WORLD
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Layman’s Guide to Paralympic
Classification
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Visually Impaired Friendly
Athletics - A Guide for Supporting Visually Impaired Adults and Children in
Athletics
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ELIGIBILITY AND CLASSIFICATION OF
ELITE ATHLETES WITH INTELLECTUAL DISABILITIES(ID) FOR THE PARALYMPICS: THE
ROLE OF PSYCHOLOGY; (Burns J.)
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The Sports-Related Injuries and
Illnesses in Paralympic Sport Study (SRIIPSS): a study protocol for a
prospective longitudinal study; (Fagher K, et al.)
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World Para Athletics - Rules and
Regulations 2016-2017
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Guidelines for the inclusion of
Para-athletes in Road Races
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The inclusive management of the
Paralympic Sports; (Gérard S.)
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Construction and validation of
three instruments for the technical evaluation of progress, high jump and
shot put; (Valenzuela A. V. et al.)
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Analysis of the 2016 Rio
Paralympics personal best swim times; (Bacon C., Peterson C.J.)
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Managing the Paralympics; (Hammond
A.)
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Biomechanics in Paralympics:
Implications for Performance; (Morren F. et al.)
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SOCCER
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Evaluation of referees’
performance in international football games; (Lalli M.)
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The Pressing Game: Optimal
Defensive Disruption in Soccer; (Bojinov I., Bornn L.)
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The harsh rule of the goals:
data-driven performance indicators for football teams; (Cintia P., Pappalardo
L., Pedreschi D., Giannotti F., Malvaldi M.)
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Physics-Based Modeling of Pass
Probabilities in Soccer, (Spearman W., Basye A., Dick G., Hotovy R., Pop P.)
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Flow Motifs in Soccer: What can
passing behavior tell us? (Bekkers J., Dabadghao S.)
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Analyzing In-Game Movements of
Soccer Players at Scale, (Gyarmati L., Hefeeda M.)
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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.)
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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.)
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Relational Learning for
Football-Related Predictions, (Van Haaren J., Van den Broeck G.)
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Automatically Discovering
Offensive Patterns in Soccer Match Data, (Van Haaren J., at al.)
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Optimizing draft strategies in
fantasy football, (Chakravarthy P.)
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Analyzing and Predicting Events in
Soccer and Tennis using Spatiotemporal Data; (X. Wei, S. Sridharan et al.)
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Bagadus: An Integrated System for
Arena Sports Analytics – A Soccer Case Study –; (Pål Halvorsen et al.)
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Developing a Data-Driven Player
Ranking in Soccer Using Predictive Model Weights; (Joel Brooks, Matthew Kerr,
John Guttag)
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MoneyBall- Sport Analytics -
Soccer; (Nikravesh M.)
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Visual Soccer Analytics:
Understanding the Characteristics of Collective Team Movement Based on
Feature-Driven Analysis and Abstraction; (Stein M. et al.)
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Seasonal Linear Predictivity in
National Football Championships; (Jurman G.)
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Applying machine learning to event
data in soccer; (Kerr M.G.S.)
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Infortunio nel calcio: una ricerca
essenziale; (Malfatti L., Rosso G.)
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Statistical analysis regional
championship "giovanissimi"; (Malfatti L., Rosso G.)
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Analysis of Corner Kick Success in
Elite Football (Casal C., et al.)
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Effectiveness of Indirect Free
Kicks in Elite Soccer (Casal C., et al.)
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A Proposed Decision Rule for the
Timing of Soccer Substitutions (Myers BR.)
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Finding square pegs for square
holes: identifying player types for scouting
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Network analysis and football team
performance: a first application (Trequattrini R. et al)
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“Win at Home and Draw Away”:
Automatic Formation Analysis Highlighting the Differences in Home and Away
Team Behaviors (Bialkowski A. et al.)
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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)
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AMERICAN FOOTBALL
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An innovative approach to National
Football League standings using optimal bonus points; (Winchester N., Stefani
R. T.)
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Optimal Bonus Points in the
Australian Football League; (Lenten L., Winchester N.)
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American Football Route
Identification Using Supervised Machine Learning, (Hochstedler J., Gagnon P.)
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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)
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BASEBALL
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A switching dynamic generalized
linear model to detect abnormal performances in Major League Baseball, (Glynn
C., Tokdar S.T.)
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Tracking Pitcher Performance with
Instantaneous Component ERA and Moving Averages, (Salmon J.L., Harrison W.K.)
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Arsenal/Zone Rating: A PitchF/X
based pitcher projection system, (Pei Zhe Shu)
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Testing Pitch Recognition to
Improve Talent Identification and Player Development, (Fadde P.J., Müller S.)
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zWins, an Alternative Calculation
of Wins Above Replacement in Baseball, (King W.)
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The Hot-Hand Fallacy: Cognitive
Mistakes or Equilibrium Adjustments? Evidence from Major League Baseball,
(Green B., Zwiebel J.)
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BASKETBALL
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CHARACTERIZING THE SPATIAL STRUCTURE OF DEFENSIVE
SKILL IN PROFESSIONAL BASKETBALL ; (Franks A., Miller A., Bornn L.,
Goldsberry K.)
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A Multiresolution Stochastic Process Model for
Predicting Basketball Possession Outcomes ; (Cervone D., D'Amour A., Bornn
L., Goldsberry K.)
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FACTORIZED POINT PROCESS INTENSITIES: A SPATIAL
ANALYSIS OF PROFESSIONAL BASKETBALL ; (Miller A., Bornn L., Adams R.,
Goldsberry K.)
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BodyShots: Analyzing Shooting
Styles in the NBA using Body Pose, (Felsen P., Lucey P.)
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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.)
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Possession Sketches: Mapping NBA
Strategies, (Miller A.C., Bornn L.)
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A PageRank Model for Player
Performance Assessment in Basketball, Soccer and Hockey, (Brown S.)
|
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A data-driven method for
understanding and increasing 3-point shooting percentage, (Marty R., Lucey
S.)
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Classifying NBA Offensive Plays
Using Neural Networks, (Wang K-C., Zemel R.)
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Accounting for Complementary Skill
Sets When Evaluating NBA PlayersÂ’ Values to a Specific Team, (Kuehn J.)
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The Van Exel Effect: Adjusting for
Scorekeeper Bias in NBA Box Scores, (van Bommel M., Luke Bornn L.)
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Recognizing and Analyzing Ball
Screen Defense in the NBA, (McIntyre A., Brooks J., Guttag J., Wiens J.)
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NBA Court Realty, (Cervone D.,
Bornn L., Goldsberry K.)
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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.)
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Move or Die: How Ball Movement
Creates Open Shots in the NBA, (Authors Blinded)
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Measuring NBA Players' Mood by
Mining Athlete-Generated Content; (Xu C., Yu Y)
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Filtering procedures for sensor
data in basketball. Statistics & Application, 15(2); (Metulini, R.)
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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.)
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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.)
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MOTORSPORTS
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Statistical Analysis of F1 Monaco
Grand Prix 2016. Relations Between Weather, Tyre Type and Race Stints; (Rosso
G., Rosso A.F.)
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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.)
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The Economic Impacts and
Occupational Analysis of the North Carolina Motorsports Industry for 2005,
(Connaughton J.E., Madsen R.A.)
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Real-Time Decision Making in
Motorsports: Analytics for Improving Professional Car Race Strategy,
(Christopher Ledesma Weisen Choo)
|
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THE THEORY AND PRACTICE OF
RACE-VEHICLE DATA ACQUISITION AND ANALYSIS IN MOTOR-SPORTS ENGINEERING
EDUCATION, (Lopez G., Seaber A.)
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Assess the risk of pit stopping,
using probability and Game Theory with Sequential Game Decision Making ;
(Rosso G.)
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Car racing simulations: Monte Carlo
Method vs Latin Hypercube Sampling ; (Rosso G.)
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Mining Muscle Use Data for Fatigue
Reduction in IndyCar, (Kataoka Y., Junkins D.)
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A system for aiding the user
assimilation of acquired motorsport data; (Parker M.C.)
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Development of Electric Formula
SAE Real-time Telemetry Software, (Yi Tan F.)
|
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Avoiding the Pitfalls in Motorsports Data
Acquisition; (Southward S., Conner H.)
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The effects of prior affect and
sensory stimuli on motorsport spectatorsÂ’ in-the-moment experiences;
(Kyu-soo Chung, Dong Soo Ryu, Seunghwan Lee)
|
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Innovative Computer Technology in Professional
Motorsports; (Purnell, A.)
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Energy Efficient Motorsport - A New Alternative Fuel
Equivalence Strategy; (Ermers R.)
|
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Mechanical Hybrid System Comprising a Flywheel and
CVT for Motorsport and Mainstream Automotive Applications; (Cross D.,
Brockbank C.)
|
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Examination of a Properly Restrained Motorsport
Occupant; (Patalak J., Gideon T., Melvin J.)
|
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Advances in Wind Tunnel Aerodynamics for Motorsport
Testing; (Arnette S., Martindale B.)
|
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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.)
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Motorsport Sensor Technology; (Barnes D., McDonald
R., Hill C., van Manen P.)
|
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Motorsport Injuries: Current
Trends and Treatment Concepts; (Gorove L. et al.)
|
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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.)
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216 Movit Yellow Flag (automatic
track safety system); (Spliethof M.)
|
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What makes a motorsports event
enjoyable? The case of Macau Grand Prix; (Couto U. et al.)
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Formula E: Next Generation
Motorsport with Next Generation Fans; (Standaert W., Jarvenpaa S.)
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SOCIAL PERCEPTION GRAND PRIX
EUROPEAN FORMULA 1 BETWEEN THE CITIZENS OF VALENCIA; (Duclos D. et al.)
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LA PERFORMANCE DELLE MONOPOSTO DI
FORMULA-E CONDIZIONATA DALLA VARIAZIONE DELLA TEMPERATURA ATMOSFERICA;
(Artuso L.)
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RUGBY
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Shifting the ‘goal posts’: What
is the optimal allocation of Super Rugby competition points? (Winchester N.)
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Secondary Behavioural Incentives:
Bonus Points and Rugby Professionals; (Lenten L., Winchester N.)
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Should bonus points be included in
the Six Nations Championship? (Winchester N.)
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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.)
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ATHLETICS
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STATISTICS OF EXTREMES IN
ATHLETICS, (Henriques-Rodrigues L.)
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|
Epidemiology of Stress Fractures
in Collegiate Student-Athletes, 2004–2005 Through 2013–2014 Academic Years,
(Rizzone K.H. et al.)
|
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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.)
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On the Importance of
"Front-Side Mechanics" in Athletics Sprinting, (Haugen T. et al.)
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Athletic Events and Statistics of
Extremes: Estimation of Useful Parameters, (Gomes M.I. et al.)
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|
Records in athletics through
extreme-value theory, (Einmahl J.H.J. et al.)
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Evolution of Athletic Records:
Statistical Effects versus Real Improvements, (GEMBRIS D. et al.)
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TENNIS
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"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.)
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Hot heads, cool heads, and
tacticians: Measuring the mental game in tennis, (Kovalchik S., Ingram M.)
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SET-BY-SET ANALYSIS METHOD FOR
PREDICTING THE OUTCOME OF PROFESSIONAL SINGLES TENNIS MATCHES, (Madurska
A.M.)
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|
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.)
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BIOMECHANICAL ANALYSIS OF TOP
TENNIS PLAYERS, (Ariel G. Braden V., Penny A., Probe J., Buijs R., Finch A.)
|
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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.)
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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.)
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Teaching Mathematics and
Statistics Using Tennis; (Noubary R.)
|
|
Probability of Winning at Tennis
I. Theory and Data; (Newton P.K. Keller J.B.)
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|
Jacob Bernoulli and the
Mathematics of Tennis; (Sylla E.D.)
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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)
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SKIING
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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.)
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CYCLE SPORT
|
|
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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.)
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|
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MARTIAL ARTS
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|
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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)
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HOCKEY
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|
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.)
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|
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GOLF
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|
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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)
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VOLLEYBALL
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|
|
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.)
|
|
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CRICKET
|
|
|
Auto-play: A Data Mining Approach
to ODI Cricket Simulation and Prediction; (Sankaranarayanan V.V. et al.)
|
|
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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)
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Number of papers: 301
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