Visual Analysis of Goal-Leading Phases in Soccer
Authors: 
Paolo Buono, Miguel Ceriani, 
Maria Francesca Costabile, Paola ValdiviaAuthors Info & Claims
Paolo Buono, Miguel Ceriani, Maria Francesca Costabile, Paola ValdiviaAuthors Info & ClaimsArticle No.: 31, Pages 1 - 5
Abstract
This work focuses on the use of a specific type of visualization to analyze soccer matches and highlight individual players’ goal contributions. An analytic approach in team sports is nowadays considered crucial by both practitioners and other interested parties such as fans or betters. In soccer, the analysis of sequences of passes and shoots can help the analysts understanding some aspects of the performance of players and teams. We show how, through a compact representation of n-ary temporal relationship, users can get a comprehensive view of the evolution of the passes leading to a goal in several matches. The dataset considered in this work contains data from the first 26 weeks of the season 2019-2020 of the Italian major soccer league.
References
[1]
Carmelo Ardito, Giuseppe Desolda, Rosa Lanzilotti, Alessio Malizia, Maristella Matera, Paolo Buono, and Antonio Piccinno. 2020. User-defined semantics for the design of IoT systems enabling smart interactive experiences. Personal and Ubiquitous Computing 24, 6 (Dec. 2020), 781–796. https://doi.org/10.1007/s00779-020-01457-5
[2]
Rajpal Brar. 2014. Explaining Cristiano Ronaldo’s knuckleball free kick technique via biomechanics and sports science. https://medium.com/@rsbrar/explaining-cristiano-ronaldos-knuckleball-free-kick-technique-5b6584383f4b
[3]
Paolo Buono, Danilo Caivano, Maria F. Costabile, Giuseppe Desolda, and R. Lanzilotti. 2020. Towards the Detection of UX Smells: The Support of Visualizations. IEEE Access 8(2020), 6901–6914. https://doi.org/10.1109/ACCESS.2019.2961768
[4]
Paolo Buono, Maria F. Costabile, and Rosa Lanzilotti. 2014. A circular visualization of people’s activities in distributed teams. Journal of Visual Languages and Computing 25, 6 (2014), 903–911. https://doi.org/10.1016/j.jvlc.2014.10.025 cited By 5.
[5]
Paolo Cintia, Salvatore Rinzivillo, and Luca Pappalardo. 2015. A network-based approach to evaluate the performance of football teams. In Machine learning and data mining for sports analytics workshop, Porto, Portugal.
[6]
datasport.it. 2020. Calcio Serie A 2019-2020 classifica 26 giornata. https://www.datasport.it/calcio/serie-a2019-2020/classifica/26.html
[7]
Fédération Internationale de Football Association (FIFA). 2020. 2018 FIFA World Cup Russia - Global broadcast and audience summary. https://resources.fifa.com/image/upload/2018-fifa-world-cup-russia-global-broadcast-and-audience-executive-summary.pdf?cloudid=njqsntrvdvqv8ho1dag5
[8]
Fédération Internationale de Football Association (FIFA). 2020. FIFA Big Count 2006: 270 million people active in football. https://resources.fifa.com/image/upload/big-count-estadisticas-520058.pdf?cloudid=mzid0qmguixkcmruvema
[9]
Giuseppe Desolda, Carmelo Ardito, Hans-Christian Jetter, and Rosa Lanzilotti. 2019. Exploring spatially-aware cross-device interaction techniques for mobile collaborative sensemaking. International Journal of Human-Computer Studies 122 (2019), 1–20. https://doi.org/10.1016/j.ijhcs.2018.08.006
[10]
Giuseppe Desolda, Maristella Matera, and Rosa Lanzilotti. 2020. Metamorphic data sources: A user-centric paradigm to consume linked data in interactive workspaces. Future Generation Computer Systems 102 (2020), 992–1015. https://doi.org/10.1016/j.future.2019.09.032
[11]
Pierpaolo Di Bitonto, Francesco Di Tria, Maria Laterza, Teresa Roselli, Veronica Rossano, and Filippo Tangorra. 2010. Automated generation of itineraries in recommender systems for tourism. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6385 LNCS (2010), 498–508. https://doi.org/10.1007/978-3-642-16985-4_48
[12]
Meng Du and Xiaoru Yuan. 2020. A survey of competitive sports data visualization and visual analysis. Journal of Visualization(2020), 1–21.
[13]
Michael Lewis. 2004. Moneyball: The art of winning an unfair game. WW Norton & Company.
[14]
Tobias Moskowitz and L Jon Wertheim. 2012. Scorecasting: The hidden influences behind how sports are played and games are won. Three Rivers Press (CA).
[15]
Javier López Pena and Hugo Touchette. 2012. A network theory analysis of football strategies. arXiv preprint arXiv:1206.6904(2012).
[16]
Charles Perin, Romain Vuillemot, and Jean-Daniel Fekete. 2013. SoccerStories: A kick-off for visual soccer analysis. IEEE Transactions on Visualization and Computer Graphics 19, 12(2013), 2506–2515.
[17]
Charles Perin, Romain Vuillemot, Charles D Stolper, John T Stasko, Jo Wood, and Sheelagh Carpendale. 2018. State of the art of sports data visualization. In Computer Graphics Forum, Vol. 37. Wiley Online Library, 663–686.
[18]
Alexis Pister, Paolo Buono, Jean-Daniel Fekete, Catherine Plaisant, and Paola Valdivia. 2021. Integrating Prior Knowledge in Mixed-Initiative Social Network Clustering. IEEE Transactions on Visualization and Computer Graphics 27, 2(2021), 1775–1785. https://doi.org/10.1109/TVCG.2020.3030347
[19]
Dominik Sacha, Feeras Al-Masoudi, Manuel Stein, Tobias Schreck, Daniel A Keim, Gennady Andrienko, and Halldór Janetzko. 2017. Dynamic visual abstraction of soccer movement. In Computer Graphics Forum, Vol. 36. Wiley Online Library, 305–315.
[20]
Dominik Sacha, Manuel Stein, Tobias Schreck, Daniel A Keim, Oliver Deussen, 2014. Feature-driven visual analytics of soccer data. In 2014 IEEE conference on visual analytics science and technology (VAST). IEEE, 13–22.
[21]
Thomas A Severini. 2020. Analytic methods in sports: Using mathematics and statistics to understand data from baseball, football, basketball, and other sports. Crc Press.
[22]
Manuel Stein, Johannes Häußler, Dominik Jäckle, Halldór Janetzko, Tobias Schreck, and Daniel A Keim. 2015. Visual soccer analytics: Understanding the characteristics of collective team movement based on feature-driven analysis and abstraction. ISPRS International Journal of Geo-Information 4, 4(2015), 2159–2184.
[23]
Paola Valdivia, Paolo Buono, and Jean-Daniel Fekete. 2017. Hypenet: Visualizing Dynamic Hypergraphs. In Proceedings of the Eurographics/IEEE VGTC Conference on Visualization: Posters (Barcelona, Spain) (EuroVis ’17). Eurographics Association, Goslar, DEU, 33–35. https://doi.org/10.2312/eurp.20171162
[24]
Paola Valdivia, Paolo Buono, Catherine Plaisant, Nicola Dufournaud, and Jean-Daniel Fekete. 2021. Analyzing Dynamic Hypergraphs with Parallel Aggregated Ordered Hypergraph Visualization. IEEE Transactions on Visualization and Computer Graphics 27, 1(2021), 1–13. https://doi.org/10.1109/TVCG.2019.2933196
[25]
Wayne L Winston. 2012. Mathletics: How gamblers, managers, and sports enthusiasts use mathematics in baseball, basketball, and football. Princeton University Press.
[26]
X. Xie, J. Wang, H. Liang, D. Deng, S. Cheng, H. Zhang, W. Chen, and Y. Wu. 2020. PassVizor: Toward Better Understanding of the Dynamics of Soccer Passes. IEEE Transactions on Visualization and Computer Graphics (2020), 1–1. https://doi.org/10.1109/TVCG.2020.3030359
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Published In
July 2021
237 pages
ISBN:9781450389778
DOI:10.1145/3464385
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Published: 13 July 2021
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CHItaly '21
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