Research

  • + Scientific papers and books
    • Electronic Journal of Applied Statistical Analysis (EJASA), Vol 10, No 3 (2017)
      Special Issue "Statistics in Sports"
      Guest Editors: Paola Zuccolotto, Marica Manisera, Ron Kenett
      See more
    • Koopman S.J., Lit R. (2017), Forecasting football match results in national league competitions using score-driven time series models, Tinbergen Institute Discussion Paper, TI 2017-062/III. See more
    • Kenett R.S., Shmueli G. (2016), Information Quality Data Analytics: The Potential of Data and Analytics to Generate Knowledge, John Wiley & Sons, Ltd. See more about the book See more about InfoQ
    • Vorobyev A., Zarova E., Solntsev I., Osokin N., Zhulevich V. (2016), Statistical evaluation of football performance depending on the socio-economic development of countries, Statistical Journal of the IAOS, 32, 3, 403-411. See more
    • Groll A., Schauberger G. and Tutz G. (2015), Prediction of major international soccer tournaments based on team-specific regularized Poisson regression: An application to the FIFA World Cup 2014, Journal of Quantitative Analysis in Sports, 11, 2, 97-115. See more
    • Tutz G. and Schauberger G. (2015), Extended Ordered Paired Comparison Models with Application to Football Data from German Bundesliga, Advances in Statistical Analysis, 99, 2, 209-227. See more
    • Carpita M., Sandri M., Simonetto A., Zuccolotto P. (2015), Discovering the Drivers of Football Match Outcomes with Data Mining, Quality Technology and Quantitative Management, 12, 4, 537-553. See more
    • Koopman, S. J. and Lit, R. (2015), A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League, Journal of the Royal Statistical Society: Series A, 178, 1, 167-186. See more
    • Carpita M., Sandri M., Simonetto A., Zuccolotto P. (2014), Football Mining with R, Data Mining Applications with R (Yanchang Z., Yonghua C. eds.), chapter 14, Elsevier. See more
    • Groll A. and Abedieh J. (2013), Spain retains its title and sets a new record - generalized linear mixed models on European football championships, Journal of Quantitative Analysis in Sports, 9, 1, 51-66. See more
  • + Collaborations with Scientific Journals
    • Statistical Modelling
      Special Issue "Statistical Modelling for Sports Analytics"
      Guest Editors: Andreas Groll, Marica Manisera, Gunther Schauberger, Paola Zuccolotto
      Call for papers
    • Journal of Sports Sciences
      Paola Zuccolotto is a member of the new Editorial Advisory Board (AEB).

      The Journal of Sports Sciences has an international reputation for publishing articles of a high standard and is both Medline and Thomson Reuters listed (2015 IF: 2.142, 22/82 in Sports Sciences journals). It publishes research on various aspects of the sports and exercise sciences, including anatomy, biochemistry, biomechanics, performance analysis, physiology, psychology, sports medicine and health, as well as coaching and talent identification, kinanthropometry and other interdisciplinary perspectives. In addition to reports of original research, the Journal also publishes review articles, case studies, letters to the editor, short communications and book reviews. Website
    • Journal of Sports Analytics
      The Editor-in-Chief Philip Maymin has expressed his interest in our Project BDSports.

      The Journal of Sports Analytics is a new high-quality research journal that aims to be the central forum for the discussion of practical applications of sports analytics research, serving team owners, general managers, coaches, fans, and academics. Analytical research is welcome on any single sport or across sports that seeks to improve our understanding of the game or strategies for improving a team or a league. Website
    • Electronic Journal of Applied Statistical Analysis (EJASA)
      Special Issue "Statistics in Sports"
      Guest Editors: Paola Zuccolotto, Marica Manisera, Ron Kenett
      See more
  • + Articles on Newspapers, Magazines and Specialized Journals
    • Il Gatto di Schrödinger - 2018, number 15 - "La Statistica nel campo di basket" (Paola Zuccolotto and Marica Manisera). See more
    • Scuola dello Sport (CONI) - 2017, volume XXXVI, number 115, pages 31-34 - "Nell'era dei Big Data gli statistici contano... anche nello sport" (Paola Zuccolotto and Marica Manisera). See more
    • Giornale di Brescia - Tuesday, 10th October 2017 - "Sport 4.0 - Sensori sui giocatori di basket per valutarne le performance". See more
    • Statistica & Società - February 2017 - "Gli statistici hanno i numeri... anche nello sport" (Marica Manisera and Paola Zuccolotto). See more
    • Il Gatto di Schrödinger - 2016, number 11 - "Ah, sei uno Statistico! Quindi, in pratica...?" (Paola Zuccolotto). See more
    • Sport Mediaset - Tuesday, 2nd August 2016 - "Calcio e dati, Gian Piero Cervellera: 'Ecco il mio modello per Guardiola' ". See more
    • Giornale di Brescia - Monday, 14th March 2012 - "La discesa dalla A: ingiusta. Lo dice l'algoritmo". See more
  • + Slideshows and videos
    • Rodolfo Metulini, Spatio-Temporal Movements in Team Sports: A Visualization approach using Motion Charts. A tool to display data recorded by tracking systems producing spatio-temporal traces of player trajectories with high de nition and frequency.
      YouTube Video
    • Paola Zuccolotto, La Statistica nel campo di basket, Round Table at Statistics and Demography Festival, Treviso, Italy, 7th-9th October 2016. Download
    • Guido Corti, FIBA Stats Manual, Round Table at Statistics and Demography Festival, Treviso, Italy, 7th-9th October 2016. Download
    • Marica Manisera and Paola Zuccolotto, Analyzing human perceptions from survey data with Nonlinear CUB models, invited seminar at Wirtschaft Universität Wien, 13th May 2016. Download
    • Guido Corti, Le statistiche nella pallacanestro, Project Statbasket.it for Federazione Italiana Pallacanestro, University of Siena. Download
  • + Workshops
    • 1st October 2018, University of Brescia, Italy
      Gerhard Tutz
      Ludwig-Maximilians University of Munich, Germany

      Seminar: Explaining Success in Sports Competitions: Paired Comparison Methods with Explanatory Variables
      Organized by Paola Zuccolotto and Marica Manisera (University of Brescia) Abstract
    • 22th May 2018, University "Cattolica del Sacro Cuore", Italy
      Leonardo Egidi (with Francesco Pauli and Nicola Torelli)
      DEAMS, University of Trieste, Italy

      Seminar: Are shots predictive for the soccer results? Link to the seminar
    • 13th April 2018, Vienna University of Economics and Business, Austria
      Marica Manisera and Paola Zuccolotto
      BODaI-Lab - University of Brescia

      Seminar: Basketball Data Science
      Organized by Thomas Rusch (WU Vienna) See WU's website
    • 9th April 2018, University of Naples Federico II, Italy
      Hans Van Eetvelde
      Ghent University, Belgium

      Teaching seminar: Statistical modelling of football. How to use statistical distributions to model football match outcomes
      Organized by Maria Innario and Rosaria Simone (University of Naples Federico II)
      Download slides
    • 1st December 2017, University of Turin, Italy
      WORKSHOP on STATISTICS AND SPORTS
      With our team members Luca Malfatti and Gianluca Rosso from quant4sports
      See more Download slides (in Italian) Newspaper article Newspaper article Newspaper article Video
    • 16th-17th November 2017, University of Brescia, Italy
      WORKSHOP
      BDSports: BIG DATA ANALYTICS IN SPORTS

      Organized by Marica Manisera and Paola Zuccolotto
      Invited speakers:
      - C. Ley, Universiteit Gent, Belgium
      - A. Groll, LMU München, Germany
      - R.S. Kenett, KPA Ltd., Israel
      - S. Bianconcini, A. Lubisco, S. Mignani, A. Macaluso, University of Bologna, Italy
      - F. Lisi, University of Padova, Italy
      - M. Iannario, R. Simone, University of Napoli Federico II, Italy Programme and Abstracts Download slides Photogallery
    • 9th May 2017, University of Turin, Italy
      Christophe Ley
      Ghent University, Belgium

      Seminar: An alternative ranking for national soccer teams based on strength parameters
      Organized by Elvira di Nardo (University of Turin)
      Download slides
    • 24th April 2017, Ghent University, Belgium
      Marica Manisera and Paola Zuccolotto
      BODaI-Lab - University of Brescia

      Seminar: Data mining, big data visualization, data integration: modern approaches to basketball analytics
      Organized by Christophe Ley (Ghent University) Download slides
    • 15th March 2017, University of Brescia, Italy
      Rodolfo Metulini
      BODaI-Lab - University of Brescia

      Seminar: Sensor Analytics in basketball: analyzing spatio-temporal movements of players around the court
      Organized by Paola Zuccolotto and Marica Manisera (University of Brescia) and Tullio Facchinetti (Robotics Laboratory, University of Pavia), in collaboration with MYagonism Download slides
    • 15th December 2016, University of Brescia, Italy
      Patrick Mair
      Harvard University

      Seminar: Scraping Data from the Web Download slides and R codes
    • 18th May 2015, University of Brescia, Italy
      Ron Kenett
      KPA Ltd., Raanana, Israel
      University of Turin, Italy
      Center for Risk Engineering, NYU Poly, New York, USA
      Seminar: On Bayesian networks and information quality (InfoQ) Download abstract and slides
  • + Conferences
    • 23rd International Conference on Computational Statistics (COMPSTAT 2018)
      University of Iasi, Romania, 28-31 August 2018
      Session: BDsports: sports analytics
      Organizers: Marica Manisera and Paola Zuccolotto Conference Website
    • 8th Asia-Pacific Congress on Sports Technology (APCST) 2017
      Hilton Hotel, Tel Aviv, Israel, 15-19 October 2017
      Invited Session: Generating insights from big data analytics in sports
      Organizer: Ron Kenett Conference Website Program of the Invited Session
    • IES 2017 - INNOVATION & SOCIETY 2017 - Statistical Methods for the Evaluation and Quality
      University of Naples Federico II, Italy, 6-7 September 2017
      Session: BDSports: Big Data Analytics in Sports
      Organizers: Marica Manisera and Paola Zuccolotto Conference Website
    • MathSport International 2017
      University of Padua, Italy, 26-28 June 2017
      Organizers: Marco Ferrante and Francesco Lisi (see the full Local Organizing Committee on the website) Conference Website BDSports TEAM PARTICIPATION:
      - Gerhard Tutz (Ludwig-Maximilians-University, Munich) - keynote talk (plenary session) - "Explaining Success in Sports Competitions: Paired Comparison Methods with Explanatory Variables"
      - Marco Ferrante, Giovanni Fonseca and Silvia Pontarollo - "A Markovian model for tennis matches with non iid points"
      - Marica Manisera, Rodolfo Metulini and Paola Zuccolotto - "Sensor Analytics in Basketball"
      - Anna Eleonora Carrozzo, Rosa Arboretti and Luigi Salmaso - "Ranking ski courses using permutation methods for multivariate populations"
      - Andreas Groll, Thomas Kneib, Andreas Mayr and Gunther Schauberger - "On the Dependency of Soccer Scores - A Sparse Bivariate Poisson Model for the UEFA European Football Championship 2016"
      - Andrea Artico, Mario Bolzan, Livio Corain and Luigi Salmaso - "Dynamic Sport Performance Indicators with Application to Italian Basket League"

    • 9th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2016)
      University of Seville, Spain, 9-11 December 2016
      Session: Statistics in Sports
      Organizers: Marica Manisera and Paola Zuccolotto See more Download slides and pics
    • ENBIS-SFdS Spring Meeting on Graphical Causality Models: Trees, Bayesian Networks and Big Data
      Paris, 9-11 April 2014
      Talk: Discovering the Drivers of Football Match Outcomes with Data Mining
      Speaker: Paola Zuccolotto - Co-authors: Maurizio Carpita, Marco Sandri, Anna Simonetto See more
The BODaI-Lab repository has been developed with the explicit aim of providing the widest possible audience to the data and software issued by the BODaI-Lab.

Data and software are available only for scientific, educational, social and non-profit-making purposes. Commercial use is explicitly excluded.

Data and software are provided with the explicit reference to the source, if outside the BODaI-Lab's area of responsibility, and the BODaI-Lab makes no warranties regarding accuracy or completeness of the information provided by external sources. Codes and software are freely released in beta version by the BODaI-Lab without any responsibility. Anyone using data and software released by the BODaI-Lab must acknowledge the "Big Data Analytics in Sports" project (see "how to cite" at the bottom of this page) and immediately inform us via e-mail.

No portion of the information provided by the BODaI-LAb may be redistributed without explicit request to the BODaI-Lab.


    DATA

  • Open Source Sports - Massive sports databases for you to download.
    GO TO WEBSITE.

  • BigDataBall - Exportable stats platform, powered by renowned NBAstuffer, a reference website that provides tools for analysts since 2007.
    GO TO WEBSITE.

  • Play-by-play data of basketball matches webscraped by BDsports Team members.
    CONTACT US for information.

  • DOWNLOAD R code, data and color figures for the paper:
    Carpita M., Sandri M., Simonetto A., Zuccolotto P. (2014), Football Mining with R, Data Mining Applications with R (Yanchang Z., Yonghua C. eds.), chapter 14, Elsevier.

  • Spatio-Temporal Movements in Team Sports: A Visualization approach using Motion Charts (R. Metulini).
    A tool to display data recorded by tracking systems producing spatio-temporal traces of player trajectories with high definition and frequency. YOUTUBE VIDEO.
    Data available in return for payment through our partners. CONTACT US for information.


  • SURVEYS

  • Questionnaire "Survey on the dependence about sports". Research carried out by Domenico Piccolo, Maria Iannario and Rosaria Simone (University Federico II, Naples) with the students of the Master Degree on Statistical Sciences (2017/2018).
    CLICK HERE to fill in the questionnaire (in Italian).
    CLICK HERE to fill in the questionnaire (in English).
    CONTACT US to request data.

  • Questionnaire "Sport and Health". Research carried out by Domenico Piccolo and Maria Iannario (University Federico II, Naples) with the students of the Master Degree on Statistical Sciences (2016/2017).
    CONTACT US to request data.