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dc.contributor.advisorMedina, F. Patricia
dc.contributor.authorEnnis, Avery
dc.contributor.authorYeshiva University, degree granting institution.
dc.date.accessioned2020-06-15T17:54:54Z
dc.date.available2020-06-15T17:54:54Z
dc.date.issued2020-06
dc.identifier.citationEnnis, Avery. An Introduction to Modeling NFL Tracking Data. [Thesis Submitted in Partial Fulfillment of the Requirements of the Jay and Jeanie Schottenstein Honors Program.] NY: Yeshiva College. Yeshiva University. [June 2020]en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12202/5659
dc.descriptionSenior honors thesis. Open access.en_US
dc.description.abstractIn this paper, I have provided a detailed introduction to modeling NFL Next Gen Stats Tracking Data to tackle complicated football analytics problems. I have further outlined why I believe such modeling is important, and how it can add to the current world of football analytics. Finally, I attempted to use the tracking data to model both EPA and yards gained, and, although ultimately not as successful as I had hoped, I believe I showed that there is reason to believe that the data can be modeled successfully with more data and more advanced feature engineering. (from Conclusion)en_US
dc.description.sponsorshipJay and Jeanie Schottenstein Honors Programen_US
dc.language.isoen_USen_US
dc.publisherNew York, NY: Yeshiva College. Yeshiva University.en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectYeshiva University. Student Organizations --Periodicals.en_US
dc.subjectCollege student newspapers and periodicals --New York (State) --New York.en_US
dc.subjectNFLen_US
dc.subjecttracking dataen_US
dc.subjectNext Gen Statsen_US
dc.subjectExpected Points Added (EPA)en_US
dc.titleAn Introduction to Modeling NFL Tracking Data.en_US
dc.typeThesisen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States
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