computer_science5 papersavg year 2026weak evidence

Can investigate the long-term effects of competitive

Research gap analysis derived from 5 computer_science papers in our local library.

The gap

Further studies can investigate the long-term effects of competitive complexity exercises on football skills. Research can explore the application of these exercises to different age groups and skill levels. Studies can examine the combinat

Evidence profile

Sourced from the future-work section and conclusions and future work of the source papers, classified as general, spanning 5 journals.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 6 representative gaps

  • Strategic evaluation and development pathways of PFC Levski Youth Academy: A SWOT analysis (2026) · Turkish Journal of Kinesiology · doi

    Further research could explore the development of youth football academies in other contexts. The study suggests that future research could investigate the impact of scouting networks on talent identification. Further research could also examine the role of sports science technologies in enhancing player development.

    generalfuture-work section
    Keywords: further research explore development youth football academies other
  • Pathways to the senior national teams: experiences of playing-up and mixed-gender play among Swedish elite female footballers (2026) · Frontiers in Sports and Active Living · doi

    Further research is required to clarify the hypothetical reasoning discussed and to obtain better data to improve understanding of the long-term implications of current player development strategies. This study has addressed a specific gap in the literature and provide important insights about the impact of playing-up and mixed-gender play within football.

    generalconclusionsevidence 5/5
    Keywords: further required clarify hypothetical reasoning discussed obtain better improve understanding long term implications current player
  • Editorial: Football training and competition (2026) · Frontiers in Psychology · doi

    Collectively, the 31 articles comprising this Research Topic reflect the remarkable breadth and depth of contemporary football science (see Figure 1). The contributions span a wide range of designs, from randomized training interventions and longitudinal monitoring studies to systematic reviews, machine learning applications, and qualitative inquiry, and include populations ranging from grassroots youth players to elite professionals, male and female, across multiple football formats including football and futsal.

    generalfuture workevidence 5/5
    Keywords: football collectively articles comprising topic remarkable breadth depth contemporary science contributions span wide range designs
  • Editorial: Football training and competition (2026) · Frontiers in Psychology · doi

    Future studies should prioritize external validation, model interpretability, and open datasets. Researchers should explore the use of technology in football practice and science. The integration of technology, wearables, artificial intelligence, VAR, and non-invasive brain stimulation should be examined further.

    generalfuture-work sectionevidence 5/5
    Keywords: future studies prioritize external validation model interpretability open
  • أثر تمرينات التعقيد التنافسي المبنية على مواقف اللعب في تطوير الاستجابة الحركية والتهديف والتصرف الخططي لدى لاعبي كرة القدم دون (19) سنة (2026) · مجلة علوم الرياضة الدولية · doi

    Further studies can investigate the long-term effects of competitive complexity exercises on football skills. Research can explore the application of these exercises to different age groups and skill levels. Studies can examine the combination of competitive complexity exercises with other training methods.

    generalfuture-work sectionevidence 5/5
    Keywords: further studies investigate long-term effects competitive complexity exercises
  • Predicting athletic performance in track and field athletes based on wearable physiological and psychological indicators: an interpretable machine learning study (2026) · Frontiers in Physiology · doi

    Future research should consider a more comprehensive analysis of the limitations of the approach. Studies should examine the generalizability of the findings to other sports and populations. Research should investigate the use of other machine learning models and techniques for predicting athletic performance.

    generalfuture-work sectionevidence 5/5
    Keywords: future research consider comprehensive analysis limitations approach studies

Questions about this gap

Further studies can investigate the long-term effects of competitive complexity exercises on football skills. Research can explore the application of these exercises to different a… This is supported by 6 representative gap statements extracted from 5 papers, rated weak evidence.

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