Eigenvalues make the difference – A network analysis of the Chinese Super League

Zhao, Yangqing; Zhang, Hui

doi:10.1177/1747954120908822

Cited by 7 publications

(8 citation statements)

References 24 publications

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“…Studies on match analysis in the Chinese Football Super League (CSL) have received considerable attention starting a few years ago because of its fast progress. These research studies focus primarily on key performance indicators (Mao et al, 2016;Yang et al, 2018;Gai et al, 2019), the impact of situational variables (Liu et al, 2019b), the evaluation of performance (Zhou et al, 2018(Zhou et al, , 2020, and the application of new technologies (Han et al, 2020) and complex networks (Yu et al, 2020;Zhao and Zhang, 2020). However, very few researches on the influence of key match events on CSL matches currently exist.…”

Section: Introductionmentioning

confidence: 99%

Impact of Scoring First on Match Outcome in the Chinese Football Super League

et al. 2021

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The aim of this study was to explore the effect of scoring first on match outcomes in the Chinese Football Super League (CSL). A total of 1,116 matches in which at least one goal was scored from the 2014 to 2018 seasons were collected. Match outcomes, absolute goal differences, the minute of the first goal, match locations, and teams’ budgets were analyzed. A team’s budget was measured in terms of a team’s value at the beginning of the season, and teams were clustered into two groups (high and low budget with means of 50.77 and 13.77 million dollars, respectively). A descriptive analysis was conducted, and two generalized linear models (a multinomial logit model and a Poisson model; p < 0.05) were applied. The results showed a favorable outcome for the team that scored first both in match outcome and goal difference. Regarding the teams that scored first, 66.31% won their matches, 20.70% achieved a draw, and 12.99% lost. Specifically, home teams were more likely to win (13.42%) and less likely to lose (9.52%) or draw (3.90%) than away teams. Home teams also had a higher likelihood of obtaining a larger goal difference. Higher budget teams were more likely to win (14.90%) and less likely to lose (9.75%) or draw (5.14%) than low-budget teams. Additionally, for each minute, the team scores closer to the end of the match, and the average probability of winning increased by 0.0028. These findings can guide the strategies of coaches in different match scenarios according to the match location and the opponent’s quality.

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Section: Introductionmentioning

confidence: 99%

Impact of Scoring First on Match Outcome in the Chinese Football Super League

et al. 2021

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“…It is important to stress that the high centrality metric used in our analysis does not directly relate to "the 'best" data source. Instead, we used this metric to highlight which sources are influential in the mobilisation of biodiversity data (Zhao and Zhang 2020). There are many advantages to diversity in species recording and data management.…”

Section: Discussionmentioning

confidence: 99%

Diversity, fragmentation, and connectivity across the UK amphibian and reptile data management landscape

Turner

Griffiths

Wilkinson³

et al. 2022

Biodivers Conserv

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Large-scale biodiversity monitoring remains a challenge in science and policy. ‘Biodiversity Observation Networks’ provide an integrated infrastructure for monitoring biodiversity through timely discovery, access, and re-use of data, but their establishment relies on an in-depth understanding of existing monitoring effort. We performed a scoping review and network analysis to assess the scope of available data on amphibians and reptiles in the UK and catalogue the mobilisation of information across the data landscape, thereby highlighting existing gaps. The monitoring portfolio has grown rapidly in recent decades, with over three times as many data sources than there are amphibian and reptile species in the UK now available. We identified 45 active sources of ‘FAIR’ (‘Findable’, ‘Accessible’, ‘Interoperable’ and ‘Reusable’) data. The taxonomic, geographic and temporal coverage of datasets appears largely uneven and no single source is currently suitable for producing robust multispecies assessments on large scales. A dynamic and patchy exchange of data occurs between different recording projects, recording communities and digital data platforms. The National Biodiversity Network Atlas is a highly connected source but the scope of its data (re-)use is potentially limited by insufficient accompanying metadata. The emerging complexity and fragmented nature of this dynamic data landscape is likely to grow without a concerted effort to integrate existing activities. The factors driving this complexity extend beyond the UK and to other facets of biodiversity. We recommend integration and greater stakeholder collaboration behind a coordinated infrastructure for data collection, storage and analysis, capable of delivering comprehensive assessments for large-scale biodiversity monitoring.

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“…Besides the difference in teamwork between winning and losing teams found in previous men's research 12,21,22 it could be suggested that teams playing in a league cooperate in a different way than teams playing a tournament like a confederation or world cup. National teams often only come together for the specific tournament and might have limited time beforehand to train as a group compared to a club team playing together for a full season.…”

Section: Introductionmentioning

confidence: 93%

“…Ethical exemption was received from the first authors institution (reference number: 2018-392) because of the use of pre-existing non-identifiable data. Previous research has analysed between one [26][27][28][29] and 1200 21 matches and for this study data of 694 matches (1388 samples), acquired from StatsPerform (formerly Opta Sports) (London, United Kingdom), were used for analysis. Data covered the American National Women's Football League (NWSL) 2016-2018 seasons (650 matches), British Football Association Women's Super League (FA WSL) 2015, 2016 and 2017/18 seasons (436 matches), the 2011 and 2015 Fédération Internationale de Football Association (FIFA) Women's World Cups (WWC) (120 matches) and the 2013 and 2017 Union of European Football Associations (UEFA) Women's Euros Championships (EC) (84 matches).…”

Section: Datamentioning

confidence: 99%

Teamwork and performance in professional women's football: A network-based analysis

Jong

Gastin

Bruce

et al. 2022

International Journal of Sports Science & Coaching

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Analysis of the underlying tactics and teamwork in women's football is rare and it is unknown how professional women's teams cooperate to be successful. The aim of this study was to investigate teamwork using network analysis while comparing match-outcome, match-type, ladder halves and tournament phases, to determine whether teamwork is related to success. Ball transfer data in 694 matches from the 2015, 2016 and 2017/18 Football Association Women's Super League (FA WSL) seasons; 2016–2018 National Women's Football League (NWSL) seasons; 2013 and 2017 European Cups; and 2011 and 2013 World Cups were analysed. The network metrics: edge density, transitivity, mean distance, out degree centrality, closeness centrality, betweenness centrality and eigenvector centrality were calculated. Success was categorised in match outcomes, ladder halves, tournament phases and ladder positions. It was found that successful professional women's football teams are highly connected (p = 0.006), and the distribution of ball possession is centralised (p = 0.001). There is a tendency for key players to send out a high number of passes, but there is no dependency on these key players for the total ball flow within a team, which is a characteristic that may be unique to women's football. Differences in teamwork exist between single matches and full seasons or tournaments, with successful teams having more effective ball movement and successful passes over the course of a season or tournament (p < 0.001). Moreover, successful league teams have more players with connecting roles than tournament teams and match tactics should be adapted to this.

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Eigenvalues make the difference – A network analysis of the Chinese Super League

Cited by 7 publications

References 24 publications

Impact of Scoring First on Match Outcome in the Chinese Football Super League

Impact of Scoring First on Match Outcome in the Chinese Football Super League

Diversity, fragmentation, and connectivity across the UK amphibian and reptile data management landscape

Teamwork and performance in professional women's football: A network-based analysis

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