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International Conference on Business Information Systems

BIS 2016: Business Information Systems Workshops pp 357–366Cite as

Decision Support Enhancement for Player Substitution in Football: A Design Science Approach

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 263))

Abstract

Football players are constantly being tracked during the live games by means of automated tracking technologies. Every event that happens on the field is recorded in a who-what-where-when fashion. These data are used in pre- and post-match analyses to improve strategies and tactics. To date such data have not yet been used for in-game decision making. Considering the impact of the substitute players on the final outcome of the game, this paper proposes an approach for enhancing the substitution decision. The goal is to support the coach and his staff during live matches by developing an algorithm or using an existing analytic method which will evaluate and rate the players’ performance and recommend a player that should leave the game.

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Author information

Authors and Affiliations

  1. Institute of Information Systems, Friedrich-Alexander University of Erlangen-Nuremberg, Nuremberg, Germany

    Pavlina Kröckel

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  1. Pavlina Kröckel
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Correspondence to Pavlina Kröckel .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. Leipzig University, Leipzig, Germany

    Rainer Alt

  3. Leipzig University, Leipzig, Germany

    Bogdan Franczyk

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Kröckel, P. (2017). Decision Support Enhancement for Player Substitution in Football: A Design Science Approach. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_33

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