1683 | -- | 1688 | Pierpaolo D'Urso, Michele Gallo, Paola Zuccolotto. Editorial: special issue on sports data science |
1689 | -- | 1712 | Pierpaolo D'Urso, Livia De Giovanni, Lorenzo Federico, Vincenzina Vitale. Network and attribute-based clustering of tennis players and tournaments |
1713 | -- | 1730 | Lucas Wu, Tim B. Swartz. A new metric for pitch control based on an intuitive motion model |
1731 | -- | 1751 | Mirko Luigi Carlesso, Andrea Cappozzo, Marica Manisera, Paola Zuccolotto. Scoring probability maps in the basketball court with Indicator Kriging estimation |
1753 | -- | 1778 | Mariaelena Bottazzi Schenone, Roberto Rocci, Maurizio Vichi. Generalized Reduced K-Means |
1779 | -- | 1799 | Antonello D'Ambra, Pietro Amenta, Antonio Lucadamo. Multivariate approaches to investigate the home and away behavior of football teams playing football matches |
1801 | -- | 1823 | Riccardo Zanardelli, Maurizio Carpita, Marica Manisera. Statistical models for classification by handedness of Olympic Trap shooters in digital training services and remote coaching |
1825 | -- | 1847 | Edward Gunning, Steven Golovkine, Andrew J. Simpkin, Aoife Burke, Sarah Dillon, Shane Gore, Kieran Moran, Siobhan O'Connor, Enda White, Norma Bargary. Analysing kinematic data from recreational runners using functional data analysis |
1849 | -- | 1872 | Roy Cerqueti, Raffaele Mattera, Valerio Ficcadenti. Kendall correlations and radar charts to include goals for and goals against in soccer rankings |
1873 | -- | 1898 | Nina Deliu, Brunero Liseo. A copula-based Bayesian framework for doping detection |
1899 | -- | 1917 | Roberto Macrì Demartino, Leonardo Egidi, Nicola Torelli. Alternative ranking measures to predict international football results |
1919 | -- | 1932 | Johan Lyhagen. The home advantage and COVID-19: the crowd support effect on the english football premier league and the championship |
1933 | -- | 1958 | Gianpaolo Zammarchi, Claudia Pisanu. Identification of genes shared between sedentary behaviour and inflammation: a bivariate genetic correlation analysis |
1959 | -- | 1984 | Anirban Dutta, Hemanta Saikia, Jonali Gogoi, Dibyojyoti Bhattacharjee. Forecasting the opening goal in second-half of a football match: Bayesian and frequentist perspectives |
1985 | -- | 2003 | Ambra Macis. The role of the frailty in the evaluation of injury risk factors for National Basketball Association players |
2005 | -- | 2029 | Nishad Wajge, Gautier Stauffer. Should sports professionals consider their adversary's strategy? A case study of match play in golf |
2031 | -- | 2048 | Luca Scrucca, Dimitris Karlis. A model-based approach to shot charts estimation in basketball |
2049 | -- | 2066 | Kristijan Breznik, Vincenzo Candila, Antonina Milekhina, Marialuisa Restaino. Eras of dominance: identifying strong and weak periods in professional tennis |
2067 | -- | 2083 | Kangyi Ken Peng, X. Joan Hu, Tim B. Swartz. On the time of corner kicks in soccer: an analysis of event history data |
2085 | -- | 2108 | Marco Ortu, Francesco Mola. The game beyond the field: on football players' performance through social media, sentiment and topic analysis |
2109 | -- | 2133 | Ilias Leriou, Ioannis Ntzoufras. Survival modeling of goal arrival times in English premier league |
2135 | -- | 2155 | Mattia Cefis, Maurizio Carpita. On the CTA-PLS test for hierarchical models: an application to the football player's performance |
2157 | -- | 2181 | Argyro Damoulaki, Ioannis Ntzoufras, Konstantinos Pelechrinis. Lasso multinomial performance indicators for in-play basketball data |
2183 | -- | 2194 | Florian Felice. Ranking handball teams from statistical strength estimation |
2195 | -- | 2222 | Gabriel Calvo, Carmen Armero, Luigi Spezia. Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach |
2223 | -- | 2247 | Alejandro Álvarez, Alejandro Cataldo, Guillermo Durán, Manuel Durán, Pablo Galaz-Cares, Iván Monardo, Denis Sauré. Data science approach to simulating the FIFA World Cup Qatar 2022 at a website in tribute to Maradona |