The Importance of Strategy in Formula One Race Outcomes and the Impact of Regulatory Changes in the Competitive Balance of the Sport

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dc.contributor.advisor Pesenti, Raffaele it_IT
dc.contributor.author Spolaor, Valentina <1997> it_IT
dc.date.accessioned 2022-10-03 it_IT
dc.date.accessioned 2023-02-22T10:57:35Z
dc.date.available 2024-02-28T12:48:37Z
dc.date.issued 2022-10-27 it_IT
dc.identifier.uri http://hdl.handle.net/10579/22464
dc.description.abstract Formula one is the highest and most competitive class of international motorsport racing sanctioned by the Fédération Internationale de l’Automobile. Its complexity and uncertainty is what brings athletes and spectators in its orbit. The championship’s outcome of each team is heavily impacted by the driver-car abilities and the strategies adopted during qualifying and races. Hence, the purpose of this thesis is that of analysing the race-weekend sessions and their implication in the final race result. Firstly, an analysis of qualifying session in terms of prediction and strategies formulations are proposed. Secondly, a race simulation was performed to formulate optimal strategies regarding the timing of pit-stops and the choice of tyre compound, comparing the results with the real-race outcome. Thirdly, an analysis on the competitive balance of the last 12 years is performed in order to understand the impact of the latest financial restriction regulation in the latest seasons (2021 and 2022). it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Valentina Spolaor, 2022 it_IT
dc.title The Importance of Strategy in Formula One Race Outcomes and the Impact of Regulatory Changes in the Competitive Balance of the Sport it_IT
dc.title.alternative The Importance of Strategy in Formula One Race Outcomes and the Impact of Regulatory Changes in the Competitive Balance of the Sport it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Data analytics for business and society it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear 2021-2022_appello_171022 it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 863296 it_IT
dc.subject.miur MAT/06 PROBABILITÀ E STATISTICA MATEMATICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.provenance.upload Valentina Spolaor (863296@stud.unive.it), 2022-10-03 it_IT
dc.provenance.plagiarycheck Raffaele Pesenti (pesenti@unive.it), 2022-10-17 it_IT


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