Showing 41 - 60 results of 305 for search '"midfielder"', query time: 0.10s Refine Results
  1. 41

    Simple reaction time in soccer players from differing categories and field positions by Caroline Ruschel, Alessandro Haupenthal, Marcel Hubert, Heiliane B. Fontana, Suzana M. Pereira, Helio Roesler

    Published 2011-12-01
    “…Regarding field positions, goalkeepers showed significantly faster VRT than midfielders and there was no difference in terms of ART. …”
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    Article
  2. 42

    Perceived emotional intelligence in soccer athletes by Sónia Brito-Costa, Florencio Vicente Castro, Ana Moisao, Ester Nascimento, Hugo de Almeida, Mª Isabel Ruiz Fernández

    Published 2016-07-01
    “…There were statistically significant differences in “emotional repair dimension” of Emotional Intelligence, with a low average in the “goalkeeper” position, and a high average in the “midfielder” position, compared to other positions of game.…”
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    Article
  3. 43

    Soccer Offside Judgments in Laypersons with Different Types of Static Displays. by Peter Wühr, Frowin Fasold, Daniel Memmert

    Published 2015-01-01
    “…The displays showed the moment when a midfielder passes the ball to a forward moving in the vicinity of a defender. …”
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    Article
  4. 44

    Using network metrics to investigate football team players' connections: A pilot study by Filipe Manuel Clemente, Micael Santos Couceiro, Fernando Manuel Lourenço Martins, Rui Sousa Mendes

    Published 2014-09-01
    “…Results showed that the highest values of scaled connectivity were found in lateral defenders and central and midfielder players and the lowest values were found in the striker and goalkeeper. …”
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    Article
  5. 45

    Decision support system for football player's position with tsukamoto fuzzy inference system by Gerhana Yana Aditia, Zulfikar Wildan Budiawan, Nurrokhman Yuga, Slamet Cepy, Ramdhani Muhammad Ali

    Published 2018-01-01
    “…A player may have the following positions: central forward, midfielder, winger, goal keeper. In evaluation phase, this model exactly shows 52.17% accurate value. …”
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    Article
  6. 46

    Decision Support System for Football Players Lineup Selection using Fuzzy Multiple Attribute Decision Making and K-Means Clustering Methods by Aldi Nurzahputra, Afrizal Rizqi Pranata, Aji Puwinarko

    Published 2017-07-01
    “…The system used Manchester City player data in Forward, Midfielder, Defender and Goal Keeper position. The purpose of this research is applying the FMADM and K-Means Clustering method to the system. …”
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    Article
  7. 47

    Analysis of personality profile in soccer players by Sónia Brito-Costa, Angelica Piovesan, Florencio Vicente Castro, Tamara Sales, Mª Isabel Ruiz Fernández, Hugo de Almeida

    Published 2016-07-01
    “…There were statistically significant differences in the Personality Profile of the athletes in particular, openness to new experiences factor in the midfielder position compared to other positions, as well as the conscientiousness, emotional stability and openness to new experiences factors, between senior and subs, conscientiousness and emotional stability factors among in the 1st league seniors compared to 2nd league seniors…”
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    Article
  8. 48

    Simple reaction time in soccer players from differing categories and field positions by C. Ruschel, A. Haupenthal, M. Hubert, H.B. Fontana, S.M. Pereira, H. Roesler

    Published 2011-01-01
    “…Regarding field positions, goalkeepers showed significantly faster VRT than midfielders and there was no difference in terms of ART. …”
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    Article
  9. 49

    Anaerobic capacity in soccer players from different competitive levels: Comparison of players in different field positions by Vanderson Luis Moro, Kenji Fuke, Lucas Cancian, Silvana Corrêa Matheus, Antonio Renato Pereira Moro

    Published 2012-10-01
    “…In the group A it was found statistical difference between attacks and other two positions (midfielder and side back) for the fatigue index. It is concluded that there was significant differences in anaerobic capacity, measured at the start of the preseason, evaluated soccer players who work in competitions of different levels and positions play (group A).…”
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    Article
  10. 50

    Characterization of the defense-attack transition of a soccer team by Pedro Malta, Bruno Travassos

    Published 2014-02-01
    “…Data showed that the team in analysis have two preferential patterns of play for this moment of game: i) supported play, with the defensive midfielder being the player that received more often the ball in the defensive central zone of the field and present the highest influence on the network of passing balls, and ii) direct play, with the centre forward being the player that received more long balls in the first offensive central zone or on the first right wing zone of the offensive midfield. …”
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    Article
  11. 51

    Characterizing different team sports using network analysis by Florian Korte, Martin Lames

    Published 2018-04-01
    “…The point guard in basketball, defensive midfielder in football and center in handball are identified as the most central tactical positions. …”
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    Article
  12. 52

    Model for football player's market values by using artificial neural network / Qoszira Dullah by Dullah, Qoszira

    Published 2020
    “…By doing this research, it will help people who associated with football transfer such as manager, football agents, and the player themselves to determine the market values for football players playing in the Forward, Midfielder, or Defender position.…”
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    Thesis
  13. 53

    Instep kicking accuracy based on playing positions among male UiTM Pahang football players / Mohd Azizi Ishak by Ishak, Mohd Azizi

    Published 2015
    “…Hence, the instep kicking accuracy between playing position absolutely have a differences. In conclusion, midfielders are more accurate, so that midfielder's position is better than others when to take a penalty or free kicks. …”
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    Student Project
  14. 54

    Positional differences in match running performance of professional national-level women soccer players by Toni Modric, Manca Kutnjak, Dusko Bjelica

    Published 2023-12-01
    “…Players’ RP were obtained using global positioning system technology and were classified into five playing positions: central defender (CD; n = 11), fullback (FB; n = 15), central midfielder (CM; n = 9), winger (WM; n = 25) and forward (FW; n = 10). …”
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    Article
  15. 55

    Quantifying technical load and physical activity in professional soccer players during pre-season matches with IMU technology by José Augusto Losada-Benitez, José Augusto Losada-Benitez, Francisco Javier Nuñez-Sánchez, José Carlos Barbero-Álvarez

    Published 2023-11-01
    “…Significant differences were found between specific positions: Full Back (FB: n = 4), Central Defender (CD: n = 3), Midfielder (MD: n = 4), Winger (WG: n = 4), and Forward (FW: n = 3), both the TL and PL. …”
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    Article
  16. 56

    Psychological and Anthropometric Characteristics of a Hungarian Elite Football Academy’s Players by Csáki István, Szakály Zsolt, Fózer-Selmec Barbara, Kiss Selmeci Zoltán, Bognár József

    Published 2017-03-01
    “…The sample was divided into four age groups according to the championship system (U16, U17, U18, U21), and into specific football positions (goalkeeper, defender, midfielder, and striker). Basedonthe results, the young academy football players had a low level ofamotivation (1.45±0.68), a high level of extrinsic motivation (5.96±0.64), and can be characterized with a higher level task (4.02±0.62) than ego orientation (3.01±0.62). …”
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    Article
  17. 57

    Differences in Body Composition between Playing Positions in Men’s Professional Soccer: A Systematic Review with Meta-Analysis by Jaime Sebastiá-Rico, José Miguel Martínez-Sanz, Noelia González-Gálvez, Jose M. Soriano

    Published 2023-04-01
    “…After comparing the groups according to the playing position (goalkeeper, defender, midfielder, and forward), significant differences were found in age, height, weight, the sum of skinfolds, kilograms of muscle mass, and kilograms of fat-free mass (<i>p</i> = 0.001; <i>p</i> < 0.0001). …”
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    Article
  18. 58

    The epidemiological profile of knee injury pattern among different divisional football players by Atiqur Rahman Khan, Mohammad Jobair Khan, Mohammad Delwer Hossain Hawlader

    Published 2019-06-01
    “…Our findings revealed that midfielders suffered a greater percentage of knee injuries compared to other positions, with injuries being more predominant during match play.…”
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    Article
  19. 59

    Effect of the role, playing position and the body characteristics on physical performance in female soccer players by Omar Sánchez-Abselam, Francisco Tomás González-Fernández, Antonio Figueiredo, Alfonso Castillo-Rodríguez, Wanesa Onetti-Onetti

    Published 2024-04-01
    “…Offensive role, forwards and wide-midfielder female players performed the highest physical demands in the competition. …”
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    Article
  20. 60

    The examination of Yo-Yo intermittent recovery test performance of young soccer players at different playing positions by Serdar Bayrakdaroğlu, Erdal Arı, Hüseyin Özkamçı, İbrahim Can

    Published 2020-08-01
    “…The positional requirements of midfielders may be decisive on covered distance during YYIRT. …”
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    Article