Search Results - "Midfielder

Fitri's timely return: midfielder scores as Malaysia snap winless streak against Pakistan by Ramaguru, S.

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High intensity running among men’s elite field hockey based on playing position / Mohd Ezwan Jamil by Jamil, Mohd Ezwan

“…The mean of HIR frequency for (defender: 92.11±17.36, midfielder 82.66±21.15, striker: 96.94±12.66), HIR distance covered was (defender: 2116.49±351.10, midfielder: 2113.13±614.78, striker: 2351.56±297.29), HIR below 10m was (defender: 25.52±5.64, midfielder: 21.88±8.41, striker: 26.11 ±5.01) and top speed was (defender: 27.75±2.52, midfielder: 29.36±2.12, striker: 29.38±2.71). …”
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Comparison of speed, agility and cardiovascular based on playing position in hockey / Nurfarhana Rosly by Rosly, Nurfarhana

“…Based on the result, forward have greater speed as a positional demand in attacking play to score a goal meanwhile midfielder have found to have a higher V02max than forward, goalkeeper and defender. …”
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Determine youth squad football position for Negeri Sembilan Football Association (NSFA) using decision tree technique / Mohd Aminnur Hakim Sabtu by Mohd Aminnur Hakim Sabtu

“…This research only focus on basic position in football such as goalkeeper, center back, right and left back, midfielder, right and left winger, attacking midfielder and striker. …”
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Model for football player's market values by using artificial neural network / Qoszira Dullah by Dullah, Qoszira

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

“…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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VO2Max and VO2AT: athletic performance and field role of elite soccer players by Manari, D., Manara, M., Zurini, A., Tortorella, G., Vaccarezza, Mauro, Prandelli, N., Ancelotti, D., Vitale, M., Mirandola, P., Galli, D.

“…VO2max mean value for Goalkeeper was 50.85 ± 4.2, for central Defender was 57.58 ± 4.3, for Winger-sides back was 60.53 ± 5.02, for Midfielder was 59.53 ± 5.08, for Forward was 56.52 ± 4.14. …”
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Osteoarthritis and multimorbidity in male retired professional footballers compared to men in the general population by Shuaib, Monirah Ali

“…For neurodegenerative disease, only one comparative study was identified from the literature, the incidence of neurodegenerative disease was higher in footballers (5.0%) compared to the general population controls (1.6%) over 18 years follow-up (p<0.001). Playing position (midfielder and defender), head injury and career duration might increase risk for neurodegenerative disease. …”
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Quantifying the physical demands in non-elite field hockey to develop training guidelines that minimise injury through adequate preparation by McManus, Alexandra, Stevenson, M.

“…The findings of this study indicate the need for gender-specific basic skills and fitness programs with two additional components addressing the differing needs of midfielders and defences (similar) and the attacks. …”
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Evaluating match running performance in elite Australian football: a narrative review by Wing, C., Hart, N.H., Maayah, Fadi, Nosaka, K.

“…The main findings from this review highlighted that match running performance is increased amongst those playing in midfield and half back/forward positions, in players with lower playing experience, as well as in matches against higher quality opponents, and in losing quarters. …”
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Fans-driven (football) player rating system by Lee, Ming Wei

“…This proposal mainly focuses on developing a mobile application about fan-driven player rating system, an innovative platform allowing fans to evaluate players based on a multifaceted field of attributes, from the dribbling skills to the precision of shooting accuracy, from the artistry of assists to the bravery of defenders, midfielders, and strikers, and lastly, from the resilience of goalkeepers to the potential of keeping clean sheets. …”
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Punca, kesan dan 'strategi mengatasi' tekanan dalam kalangan pemain bolasepak semasa perlawanan liga super 2011 by Samad, Norinda

“…Peserta terdiri daripada 8 orang pemain bola sepak yang terlibat dengan Liga Super 2011 berumur antara 19 hingga 31 tahun (3 penyerang; 3 pertahanan; dan 2 midfield). Dari segi pengalaman bermain dalam Liga Super, didapati hanya 25% berpengalaman bermain selama 10 tahun, 12.5% berpengalaman bermain selama 8 tahun, 12.5% berpengalaman bermain selama 7 tahun, 25% berpengalaman bermain selama 5 tahun, 12.5% berpengalaman bermain selama 3 tahun, dan 12.5% berpengalaman bermain selama 2 tahun. …”
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Physical performance, anthropometric measurements and basic skills of football players in Karbala, Iraq by Abdulameer, Mothna Mohammed

“…The players were divided based on the three playing positions (defense, midfield and offensive). The results showed that Shuttle test 40x5, 30 m sprint, passing with wall, Nelson speed of movement, sit down and stand up, vertical jump and dribbling 25 m are the selected tests for physical performance in football. …”
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Effect of small-sided games rule changes on time spent in different intensity zones, frequency of technical actions and distance covered during soccer training by Abdullah, Muhammad Taufiq Cheng

“…These results suggest that SSGs training with different formats are more suitable to specific playing positions such as SSG1T and SSG2T for midfielders, SSGFT and SSG2T for strikers, and SSG1T and SSG3T games for defenders. …”
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Analysis of goal scoring patterns and passing sequences between winning and losing teams in UEFA-EURO 2012 / Muhamad Safiq Saiful Annur by Saiful Annur, Muhamad Safiq

“…< 0.05), attackers (Z= -3,280, p < 0.05) and also the midfielders (Z= -3.823,p< 0.05). Regarding the passing sequences, there are significant difference between both teams in short passing sequences (Z=-.4.899, p < 0.05) and long passing (Z=-.l .958,p < 0.05). …”
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