Success Factors in the FIFA 2018 World Cup in Russia and FIFA 2014 World Cup in Brazil

Lepschy, Hannes; Wöll, Alexander; Wäsche, Hagen

doi:10.3389/fpsyg.2021.638690

Cited by 24 publications

(10 citation statements)

References 42 publications

(51 reference statements)

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“…An efficient defence play, in order to decrease the opponents’ free playing area, can be accomplished by reducing the distance between the vertical lines and narrowing the space in width ( Moura et al, 2012 ; Sarmento et al, 2018 ; Lepschy et al, 2021 ). This tendency towards compactness of the defence players is exactly what leads to an increase in the space behind the defence line and results in the open positions on the lateral sides.…”

Section: Discussionmentioning

confidence: 99%

The Qatar 2022 World Cup warm-up: Football goal-scoring evolution in the last 14 FIFA World Cups (1966–2018)

et al. 2023

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The aim of this study was to elucidate pattern of attacking actions leading up to goal scoring during the 14 FIFA World Cups from 1966 to 2018. The study analysed 1881 goals scored during a total of 732 matches. We employed observational methodology design. Before goal analysis began, it was developed the observing protocol in which data related to selected variables, by system of notation, was entered after reviewing each individual goal scoring action. The analysis of all video material was carried out independently by four experienced examiners (three of them are Ph.D in sports science and one is Ph.D. candidate in sports science with at least 7 years of coaching and experience as analyst in football). The inter-and intra-observer reliability presented good level of agreement. The kappa values ranged from 0.82 (goal scoring through open play) to 1.00 (action leading up to goal), showing a very high agreement for all performance variables. Interclass correlation was very high (ICC = 0.966, 95% upper and lower confidence intervals were between 0.933 and 1.00). A statistically significant trend (p < 0.05) from 1966 to 2018 was identified towards a higher relative frequency of goals scored from set play and collective actions from open play. The Chi-square did not reveal significant differences in the frequency of goal scoring patterns and goal-scoring zones. The results also revealed that the majority of goals were scored between the 76th and 90th minutes of a match (22.7%), from open play (70.5%), inside the penalty area (54.7%), one touch finishing (62.5%), and collective attacks in open play (55.8%). These findings may provide a possible strategic direction for improving goal-scoring performance in football, as well as practical implementation in World Cup tournament preparation.

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Section: Discussionmentioning

confidence: 99%

The Qatar 2022 World Cup warm-up: Football goal-scoring evolution in the last 14 FIFA World Cups (1966–2018)

et al. 2023

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“…Likewise, Tenga et al (2010b) found that a counterattack is an effective way to be successful because it exploits imbalances in the opponent's defense to achieve penetration. Although whether ''possession play'' or ''direct play'' is more effective has long been disputed in football science, the majority of studies demonstrated that winning teams increased their use of direct play and counterattack, and decreased the use of maintenance, build-up, and sustained threat [15,22]. This is mainly because winning teams' reduction in these styles could be a focus on maintaining the advantage through defending, which results in reduced possession time.…”

Section: Discussionmentioning

confidence: 99%

A dynamic online nomogram to predict match outcome in the UEFA Champions League: more than meets the eye

Zhang

Hu²,

et al. 2023

Preprint

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Background Recently, the application of interdisciplinary research methods to sports performance analysis has become a clear trend. These methods can enhance analytical techniques and provide a deeper understanding of the matching outcome.Purpose This study aimed to develop and validate a predictive model to predict match outcomes by transferring an analytical technique common to modern medicine to sports performance analysis. We would like to identify whether interdisciplinary research methods are applicable to predicting match outcomes based on historical data and what factors may affect match outcomesMethods A nomogram was generated based on lasso-logistic regression analysis to identify the potential predictors associated with match outcomes. The predictive model was built based on a nomogram, and its performance was evaluated for discrimination, calibration, and clinical utility.Results The nomogram is an effective tool for predicting match outcomes in elite soccer, owing to its higher overall performance, discrimination, and calibration of the current model. Meanwhile, the current predictive model also highlights that counterattacks, shots on target, long balls, short passes, and fouls are positively associated with match outcomes, whereas crosses and yellow cards are negatively associated with match outcomes in the UEFA champion league. A nomogram with these variables had good predictive accuracy (Brier score: 0.21, calibration slope: 1.05, c-index: 0.84)Conclusion The nomogram model showed a good predictive accuracy and discriminatory ability. The current predictive model also highlighted that counterattacks, shots on target, long balls, short passes, and fouls are positively associated with match outcomes whereas crosses and yellow cards are negatively associated with match outcomes in elite soccer. Therefore, a nomogram may be an effective tool for analyzing soccer matches. More visualization of predicting match outcome can be checked on this website (https://athletic-performance-and-data-science-lab.shinyapps.io/DynNomapp/)

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“…Second, it has lately become even more apparent that institutions responsible for choosing the host of large sporting events boldly focus on poorer countries or countries transforming their economies under the pretext of giving a stimulus to their development. For this reason, in the twenty-first century, the Olympics and the largest football tournaments (FIFA, UEFA) were organized, among others, in China, South Africa, Ukraine, Russia, Brazil, and Poland (Bohlmann & van Heerden, 2008; Lepschy et al, 2021; Zawadzki, 2016). In both cases, it can be assumed that this will affect the valuation observed in stock markets.…”

Section: Theoretical Framework Research Hypotheses and Literature Sup...mentioning

confidence: 99%

Stock Markets’ Reactions to the Announcement of the Hosts. An Event Study in the Analysis of Large Sporting Events in the Years 1976–2032

Zawadzki

Potrykus

2023

Journal of Sports Economics

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This study attempts to estimate the impact of the announcements of hosts of large sporting events on domestic stock markets. The research problem is to establish a connection between the uniqueness of a sporting event and investors’ beliefs through stock price behavior. Using appropriate estimation windows, 13 different sporting events classified as large, including mega and major events, were tested. The obtained results show that, in principle, one day after the announcement of the host of a large sporting event, an average positive reaction of 0.22% is observed on national stock exchanges. The analyzed events were also classified as being neutral for capital markets or generating positive or negative reactions when the host country is announced to the public.

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Success Factors in the FIFA 2018 World Cup in Russia and FIFA 2014 World Cup in Brazil

Cited by 24 publications

References 42 publications

The Qatar 2022 World Cup warm-up: Football goal-scoring evolution in the last 14 FIFA World Cups (1966–2018)

The Qatar 2022 World Cup warm-up: Football goal-scoring evolution in the last 14 FIFA World Cups (1966–2018)

A dynamic online nomogram to predict match outcome in the UEFA Champions League: more than meets the eye

Stock Markets’ Reactions to the Announcement of the Hosts. An Event Study in the Analysis of Large Sporting Events in the Years 1976–2032

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