Predicting the defensive performance of individual players in one vs. one soccer games Article Swipe
Robbie S. Wilson
,
Nicholas M. A. Smith
,
Paulo Roberto Pereira Santiago
,
Thiago Viana Camata
,
Solange de Paula Ramos
,
Fabio Giuliano Caetano
,
Sérgio Augusto Cunha
,
Ana Paula Sandes de Souza
,
Felipe Arruda Moura
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0209822
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0209822
The aim of this study was to use technical skill and physical performance and coaches' rankings to predict the defensive performance of junior soccer players. Twenty-one male players (mean age 17.2 years, SD = 1.1) were recruited from the Londrina Junior Team Football Academy in Brazil. Data were collected during regular training sessions. After participants had warmed up, players were asked to either dribble the ball or sprint through five custom circuits that varied in average curvature (0-1.37 radians.m-1). In addition, four coaches were asked to rank the players from best to worst in defensive ability. Dribbling, sprinting, and coaches' rankings were then compared with defending performance as assessed in the one vs. one competitions (N = 1090 paired-trials: 40-65 trials per individual), in which they acted as defender or attacker in turn. When defending, the objective was to steal the ball or prevent the attacker from running around them with the ball into a scoring zone. Testing occurred over three days. Overall, dribbling performance (r = 0.56; P = 0.008) and coaches' ranking (r = 0.59; P = 0.004) were significantly related to defensive ability; sprinting performance was not (r = 0.20; P = 0.38). Though dribbling performance and coaches' ranking each explained 30% and 37% of the variance in defensive performance, respectively, the two predictors were not related (r = 0.27; P = 0.23), so combined these traits explained more than half the variance in defensive performance. In conclusion, the current study demonstrates that including only one metric of closed-skill performance-dribbling speed-doubles the ability of coaches to identify their best defensive players in one vs. one scenarios.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0209822
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0209822&type=printable
- OA Status
- gold
- Cited By
- 16
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2907793333
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2907793333Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0209822Digital Object Identifier
- Title
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Predicting the defensive performance of individual players in one vs. one soccer gamesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-12-31Full publication date if available
- Authors
-
Robbie S. Wilson, Nicholas M. A. Smith, Paulo Roberto Pereira Santiago, Thiago Viana Camata, Solange de Paula Ramos, Fabio Giuliano Caetano, Sérgio Augusto Cunha, Ana Paula Sandes de Souza, Felipe Arruda MouraList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0209822Publisher landing page
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0209822&type=printableDirect link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0209822&type=printableDirect OA link when available
- Concepts
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Sprint, Football players, Football, Psychology, Analysis of variance, Applied psychology, Statistics, Physical therapy, Mathematics, Medicine, Law, Political scienceTop concepts (fields/topics) attached by OpenAlex
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16Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 2, 2023: 2, 2022: 2, 2021: 3Per-year citation counts (last 5 years)
- References (count)
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33Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| countries_distinct_count | 2 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I127110123, https://openalex.org/I129604602, https://openalex.org/I150729083, https://openalex.org/I165143802, https://openalex.org/I17974374, https://openalex.org/I181391015 |
| citation_normalized_percentile.value | 0.77130778 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |