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Relationship between time and goal scoring in soccer games: Analysis of three World Cups

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  • V. Armatas
  • A. Yiannakos
  • P. Sileloglou

Abstract

The purpose of this study was to record the time that goals were scored in course of soccer games. All matches (n=192) of the three latter World Cups were recorded using video and analyzed with computerized match analysis hardware and video playback system for game performance analysis using Sportscout. Chi-square methods were used for the data analysis and the level of significance was set in p<0.05. The 45-min analysis revealed that in World Cups 1998 and 2002 most goals were scored in the second half (p<0.05), while in the recent World Cup (2006) no significant difference were observed although second half presented greater percentage (52.5%). The 15-min analysis presented that in World Cup of 1998 most goals were scored in last period (76-90, p<0.05). Also in World Cups 1998 and 2002 there was presented a trend towards more goals scored as time progressed. Finally, in the latter World Cup most goals were scored in the last period (32.8%, p<0.05). The statistical analysis showed that there was not a uniform distribution in goals scored (p<0.01) and no differences occurred between World Cups. The results revealed that goal scoring might be depending on time and specifically that more goals are scored as time progresses. The above could be explained by the deterioration in physical conditioning, the tactical play, fluid balance and lapses in concentration.

Suggested Citation

  • V. Armatas & A. Yiannakos & P. Sileloglou, 2007. "Relationship between time and goal scoring in soccer games: Analysis of three World Cups," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 7(2), pages 48-58, May.
    • Handle: RePEc:taf:rpanxx:v:7:y:2007:i:2:p:48-58
    DOI: 10.1080/24748668.2007.11868396
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    Cited by:

    1. Restocchi, Valerio & McGroarty, Frank & Gerding, Enrico & Johnson, Johnnie E.V., 2018. "It takes all sorts: A heterogeneous agent explanation for prediction market mispricing," European Journal of Operational Research, Elsevier, vol. 270(2), pages 556-569.
    2. Rubén Maneiro & Claudio A Casal & Antonio Ardá & José Luís Losada, 2019. "Application of multivariant decision tree technique in high performance football: The female and male corner kick," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
    3. Christopher Magee & Amy Wolaver, 2023. "Crowds and the Timing of Goals and Referee Decisions1," Journal of Sports Economics, , vol. 24(6), pages 801-828, August.

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