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NFL Results Predictor as a Smart Mobile Application

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Afro-European Conference for Industrial Advancement

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 334))

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Abstract

This paper introduces the chosen area and problems which are connected to the forecasting of the results of American football games in National Football League (NFL). We cover the existing mobile applications for forecasting results which are analysed as a non-complex solutions with only limited prediction success ratio. We found that is possible to cover many other information sources to make a more complex analysis of each game and have a prediction based on a deep knowledge from match history. The suggested solution consists of a separate mobile application whose draft and implementation is described in the paper. Our algorithms implemented in developed solution provide a much better prediction success ratio than other mobile application.

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Author information

Authors and Affiliations

  1. Faculty of Informatics and Management, Center for Basic, and Applied Research, University of Hradec Kralove, Rokitanskeho 62, Hradec Kralove, 500 03, Czech Republic

    Petr Kakrda, Ondrej Berger & Ondrej Krejcar

Authors
  1. Petr Kakrda
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  2. Ondrej Berger
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  3. Ondrej Krejcar
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Corresponding author

Correspondence to Petr Kakrda .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Department of Computer Science, VSB-Technical University of Ostrava, Faculty of Elec. Eng. & Comp. Sci., Ostrava-Poruba, Czech Republic

    Pavel Krömer

  3. Department of Computer Science Faculty of Elec. Eng. & Comp. Sci., VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Vaclav Snasel

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Kakrda, P., Berger, O., Krejcar, O. (2015). NFL Results Predictor as a Smart Mobile Application. In: Abraham, A., Krömer, P., Snasel, V. (eds) Afro-European Conference for Industrial Advancement. Advances in Intelligent Systems and Computing, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-319-13572-4_28

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  • DOI: https://doi.org/10.1007/978-3-319-13572-4_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13571-7

  • Online ISBN: 978-3-319-13572-4

  • eBook Packages: EngineeringEngineering (R0)

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