3 datasets found
  1. f

    Outcome rates for leagues in D2 and D3.

    • plos.figshare.com
    bin
    Updated Dec 9, 2024
    + more versions
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    Silvan Vollmer; David Schoch; Ulrik Brandes (2024). Outcome rates for leagues in D2 and D3. [Dataset]. http://doi.org/10.1371/journal.pone.0315017.t004
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    binAvailable download formats
    Dataset updated
    Dec 9, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Silvan Vollmer; David Schoch; Ulrik Brandes
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    We compare conversion rates of association football (soccer) penalties during regulation or extra time with those during shoot-outs. Our data consists of roughly 50,000 penalties from the eleven most recent seasons in European men’s football competitions. About one third of the penalties are from more than 1,500 penalty shoot-outs. We find that shoot-out conversion rates are significantly lower, even for regular penalty takers, and attribute this to worse performance of shooters rather than better performance of goalkeepers. We also find that, statistically, there is no advantage for either team in the usual alternating shooting order. Complemented by a number of detailed observations, these main findings underline that penalty shoot-outs represent a different condition requiring dedicated means of training and coaching.

  2. f

    Summary statistics.

    • plos.figshare.com
    xls
    Updated Jun 2, 2025
    + more versions
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    Thadeu Gasparetto (2025). Summary statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0325025.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Thadeu Gasparetto
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study examines whether the national diversity of players in multicultural teams affects the performance of professional soccer clubs. I analyze data from the top-tier leagues of six European countries – England, Belgium, Germany, Cyprus, Latvia, and the Netherlands – covering the 2015/2016–2020/2021 seasons. These leagues were selected because they impose no limits on the number of foreign players in senior squads, providing a clear view of this phenomenon. Using Ordinary Least Squares (OLS) estimations in a forward stepwise approach, I find that national diversity does not correlate with club performance. However, the total number of foreign players is positively associated with performance, with each additional foreign player correlating with a 0.42% increase in win percentage. Moreover, the most complete model also indicates that an additional domestic league title is associated with a 0.99% increase in win percentage per title, while participation in the UEFA Champions League is associated with a 13.6% higher win percentage. Future research should explore the causal mechanisms underlying this relationship, examining how specific attributes of foreign players, such as playing style and experience, contribute to performance. Additionally, studies could investigate how management practices, particularly the adaptation of foreign players to a new country and culture, influence their impact on club success.

  3. D

    Intelligent Football Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Intelligent Football Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/intelligent-football-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Intelligent Football Market Outlook



    The intelligent football market size was estimated at USD 1.2 billion in 2023 and is projected to reach USD 4.5 billion by 2032, growing at a CAGR of 15.8% during the forecast period. This significant growth is driven by various factors, including the increasing adoption of advanced analytics, the integration of AI and IoT technologies, and the rising demand for data-driven decision-making in sports.



    One of the primary growth drivers in the intelligent football market is the growing emphasis on player performance analysis. With professional teams worldwide increasingly relying on cutting-edge technologies to gain a competitive edge, the adoption of AI and machine learning algorithms to analyze player performance has become crucial. These technologies provide insights into various aspects such as player stamina, speed, and agility, allowing coaches to tailor training programs to individual needs, thus enhancing overall team performance.



    Another key factor contributing to the market growth is the rising importance of injury prevention in football. The use of wearable devices and sensors embedded in sports gear helps in monitoring players' physical conditions in real-time. Advanced analytics can predict potential injuries by analyzing data trends, thereby preventing long-term damages and ensuring the players' longevity in the sport. This not only benefits the players but also helps teams maintain their best roster throughout the season.



    Fan engagement has also emerged as a significant factor driving the growth of the intelligent football market. With the advent of social media and digital platforms, fans are more connected than ever. AI-driven solutions are being deployed to analyze fan behavior and preferences, providing personalized content and enhancing the overall fan experience. This engagement is crucial for teams and leagues to build a loyal fan base and generate additional revenue streams through merchandise sales, ticketing, and digital content.



    The evolution of Football Sportswear has significantly contributed to the advancements in the intelligent football market. Modern sportswear is not just about aesthetics; it incorporates cutting-edge technology to enhance player performance and safety. From moisture-wicking fabrics to smart textiles embedded with sensors, football sportswear is designed to optimize comfort and functionality. These innovations help in regulating body temperature, reducing the risk of injuries, and improving agility on the field. As teams and players demand more from their gear, manufacturers are constantly pushing the boundaries of technology to deliver sportswear that meets the rigorous demands of professional football.



    Regionally, North America is expected to hold the largest market share in the intelligent football market, followed by Europe and Asia Pacific. The advanced infrastructure, high investment in sports technology, and early adoption of innovative solutions contribute to the region's dominance. Europe, with its rich football heritage and strong league systems, is also a significant market. Meanwhile, Asia Pacific is witnessing rapid growth due to increasing investments in sports infrastructure and the rising popularity of football in countries like China and India.



    Component Analysis



    The intelligent football market, segmented by component, includes software, hardware, and services. The software segment is anticipated to dominate the market throughout the forecast period. In recent years, software solutions have undergone significant advancements, providing complex algorithms for data analysis, performance metrics, and real-time decision-making. These software applications are crucial for teams looking to leverage data for strategic advantages, covering everything from game strategy to fan engagement.



    Hardware components, including wearable devices, sensors, and tracking systems, are also vital segments in the intelligent football market. These devices play a critical role in capturing real-time data, which is then analyzed by the software. The integration of IoT technology into football gear enables continuous monitoring of playersÂ’ physical conditions, providing valuable insights for injury prevention and performance enhancement. The innovation in hardware technology, such as lightweight and more durable materials, also contributes to the segment's growth.



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Silvan Vollmer; David Schoch; Ulrik Brandes (2024). Outcome rates for leagues in D2 and D3. [Dataset]. http://doi.org/10.1371/journal.pone.0315017.t004

Outcome rates for leagues in D2 and D3.

Related Article
Explore at:
binAvailable download formats
Dataset updated
Dec 9, 2024
Dataset provided by
PLOS ONE
Authors
Silvan Vollmer; David Schoch; Ulrik Brandes
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

We compare conversion rates of association football (soccer) penalties during regulation or extra time with those during shoot-outs. Our data consists of roughly 50,000 penalties from the eleven most recent seasons in European men’s football competitions. About one third of the penalties are from more than 1,500 penalty shoot-outs. We find that shoot-out conversion rates are significantly lower, even for regular penalty takers, and attribute this to worse performance of shooters rather than better performance of goalkeepers. We also find that, statistically, there is no advantage for either team in the usual alternating shooting order. Complemented by a number of detailed observations, these main findings underline that penalty shoot-outs represent a different condition requiring dedicated means of training and coaching.

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