Information Dynamic Analyses on American Football

Authors

  • Takeo Nakagawa Satellite College Hakusan
  • Ai Nakagawa Satellite College Hakusan

Keywords:

American Football, Advantage, Certainty of Game Outcome, Game Point, Rational Rule, Rice Bowl, Game Pattern

Abstract

This paper is concerned with the information dynamic analyses on American football games: One is the game in Eastern University American Football League, National Defense Academy vs. Chiba University, and the other is the Rice Bowl (Japan Championship)2020 Final, Fujitsu vs. Kansai University.  The former game is so called one-sided one, for National Defense Academy keeps the advantageous position against Chiba University throughout the game except at the normalized time η=0.25.  In the range that the normalized time η is greater than the value of 0.75, the model curve of ξ =η7 shows good agreement with game data.   It is found that the game point is at the normalized time η 0.9, where the game outcome becomes definitive and is the cross point between the certainty of game outcome ξ and the uncertainty of game outcome ς. The latter game modelled by ξ=η1.5 is typical one-sided one, and the game point is at the normalized time η0.62.  The two characteristic points in American football become evident through the present work, viz. (a)rules are rational and well organized, though sometimes they are too complicated, and (b)anyone can easily participate in the game not only as player, but supervisor, coach, cheer girl or member of cheering party, and/or supporter.   

Downloads

Download data is not yet available.

Author Biographies

Takeo Nakagawa, Satellite College Hakusan

Academy of Hakusan Japan

Ai Nakagawa , Satellite College Hakusan

Academy of Hakusan Japan

References

Americanfootball-Wikipedia (2020) https://en.wikipedia.org≻wiki≻American_football

Asahi(2020), Morning Paper, 4 Jan. 2020, p.11

Bennett, T. (1976). The Pro Style: The Complete Guide to Understanding National Football League Strategy. Los Angele: National Football League Properties, Inc., Creative Services Division.

Colgate, B. (2011). 2011 NFHS Football Rules Book. Gardener, Robert B. NFHS Publications.

Iida, H., Nakagawa, T., Spoerter, K.(2012) Game information dynamic models based on fluid mechanics. Entertainment and Computing, 3, 89-99. https://doi.org/10.1016/j.entcom.2012.04.002

Izeki, T. (2019) Personal Communication.

Nakagawa, R.M.T, Nakagawa, A.(2019a) Information dynamics towards serious game. Social Sci J. 5, 208-229

Nakagawa, R.M. T.(2019a) Japan Judo Championship 2019. Social Sci J. 5, 26-39

Nakagawa, R.M.T.(2019b) Information dynamics in baseball. Social Sci J. 5, 40-54.

Nakagawa, R.M.T., Nakagawa, A.(2019b) World Cup Rugby Japan 2019 the Final S. Africa vs. England. Social Sci J. 5, 131-147.

Nakagawa, T., Iida, H., Morichika, H., Ohura, S., Yonenaga, K.(2014) Human and computer interaction in Shogi. Research Journal of Computation and Mathematics, 2(1), 7-13. https://doi.org/10.12966/rjcm.02.02.2014

Nakagawa, T.R.M., Iida, H.(2014) Three game patterns. International Journal of Research Studies in Computer Sciences and Engineering, 1(1), 1-12.

Downloads

Published

2020-04-30

How to Cite

Takeo Nakagawa, & , A. N. (2020). Information Dynamic Analyses on American Football. SOCIALSCI JOURNAL, 6, 26-40. Retrieved from https://purkh.com/index.php/tosocial/article/view/669

Issue

Section

Research Articles