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dc.contributor.authorDamman, Bryce
dc.contributor.authorO’Brien, William
dc.contributor.authorSchulte, Brett
dc.contributor.authorKraker, Jessica J.
dc.descriptionColor poster with text, images, charts, and graphs.en_US
dc.description.abstractA prior study on baseball analytics for the Northwoods League summarized the available components needed to calculate a "Win Above Replacement" (WAR) metric for individual players, as well as identified missing and potential replacement measures in this league. Some of the inputs were found to be unobtainable due to lack of technical equipment in the league, but research into the origins of the measure and historic records allowed us to identify some suitable substitute measures. Obtaining these measures is possible due solely to numerous programming and data-gleaning achievements. These include code to pull and summarize play-by-play information from the original online text source; back-computing the physical locations of defensive plays from an image of the playing field; and creating a system both to extract and to compute player and team metrics beyond those automatically provided for the Northwoods League data. Summary of these methods will be included in the presentation, along with a discussion of the structure of the usable data, including play-by-play output, individual-player, and league-level summaries. Additionally, progress towards a WAR-analogy estimation (using a model connecting team performance and player appearance) will be included.en_US
dc.description.sponsorshipUniversity of Wisconsin--Eau Claire Office of Research and Sponsored Programsen_US
dc.relation.ispartofseriesUSGZE AS589;
dc.subjectQuantitative methodsen_US
dc.subjectProfessional baseballen_US
dc.subjectDepartment of Mathematicsen_US
dc.titleAnalytics for Summer Collegiate Baseball : Connecting Individual and Team Resultsen_US

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  • Student Research Day
    Posters of collaborative student/faculty research presented at Student Research Day

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