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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.)
Calci di
rigore caso o necessità (Pietrobono E.)
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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.)
|
|
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)
|
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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.)
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|
|
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
|