Talent identification and development in soccer since the millennium

Williams, Alison; Ford, Paul R.; Drust, Barry

doi:10.4324/9781003375968-2

Cited by 4 publications

(3 citation statements)

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“…Previous research has demonstrated in squash that experts are able to predict above chance where an opponent will hit the ball, even before the opponent actually starts to move ( Abernethy, Gill, Parks, & Packer, 2001 ). Such predictions can be based on the position of the opponent ( Loffing & Hagemann, 2014 ), domain-specific and situation-specific knowledge ( Schläppi-Lienhard & Hossner, 2015 ), or information about the structure and organization of other players on the field ( Casanova et al, 2009 ; Williams, 1993 ; Williams Hodges, North, & Barton, 2006 ). We aimed at providing such positional cues by showing information about the player position as simple squares.…”

Section: Discussionmentioning

confidence: 99%

Cues for predictive eye movements in naturalistic scenes

Goettker,

Borgerding,

Leeske

et al. 2023

Journal of Vision

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We previously compared following of the same trajectories with eye movements, but either as an isolated targets or embedded in a naturalistic scene—in this case, the movement of a puck in an ice hockey game. We observed that the oculomotor system was able to leverage the contextual cues available in the naturalistic scene to produce predictive eye movements. In this study, we wanted to assess which factors are critical for achieving this predictive advantage by manipulating four factors: the expertise of the viewers, the amount of available peripheral information, and positional and kinematic cues. The more peripheral information became available (by manipulating the area of the video that was visible), the better the predictions of all observers. However, expert ice hockey fans were consistently better at predicting than novices and used peripheral information more effectively for predictive saccades. Artificial cues about player positions did not lead to a predictive advantage, whereas impairing the causal structure of kinematic cues by playing the video in reverse led to a severe impairment. When videos were flipped vertically to introduce more difficult kinematic cues, predictive behavior was comparable to watching the original videos. Together, these results demonstrate that, when contextual information is available in naturalistic scenes, the oculomotor system is successfully integrating them and is not relying only on low-level information about the target trajectory. Critical factors for successful prediction seem to be the amount of available information, experience with the stimuli, and the availability of intact kinematic cues for player movements.

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Section: Discussionmentioning

confidence: 99%

Cues for predictive eye movements in naturalistic scenes

Goettker,

Borgerding,

Leeske

et al. 2023

Journal of Vision

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“…The preseason corresponds to the time-interval between the first training session and the first league match ( 10 ), and it is during this period that training aims to prepare and improve the players' physical condition for the competitive period ( 7 , 11 ). Consequently, this phase is characterized by a greater training load compared to the rest of the season ( 12 – 14 ).…”

Section: Introductionmentioning

confidence: 99%

Descriptive analysis of injury types and incidence during futsal preseason across different competitive levels

Marques,

Rebelo,

Crisóstomo

et al. 2024

Front. Sports Act. Living

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IntroductionThis study aimed to verify the typology and incidence of injury by comparing the different competitive levels of futsal during the preseason.MethodsThe sample consisted of 68 senior male futsal players (24.26 ± 4.63 years). Data were collected using an injury recording grid that examined the affected body part, anatomical region, type of injury, mechanism, and severity.ResultsIt was found that the elite group has the lowest incidence rate of injury (4.8 injuries per 1,000 h of exposure) compared to the sub-elite (11.8 injuries per 1,000 h of exposure) and amateur groups (13.9 injuries per 1,000 h of exposure). However, at this level, there is the highest percentage of injury occurrence (38.5%), the lower limb was the most affected part of the body (30.8%), and ligament (23.1%) and muscle (15.4%) injuries are the most prevalent. The most frequent mechanism of injury was non-traumatic (30.8%), and the majority were moderate injuries in the elite (23.1%) and sub-elite (17.9%) groups and severe injuries in the amateur group (12.5%).DiscussionThe amateur futsal players had the highest incidence of injury during the preseason period compared to the other competitive levels. Still, it was at the elite level where the highest percentage of injuries occurred, most of them non-traumatic and of ligament origin, primarily affecting the ankle region. The results highlight the importance of adopting specific injury prevention programs for ligament and muscle injuries during the preseason phase, regardless of the competitive level.

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“…The majority (60–90%) of injuries are observed in the lower extremity, including the ankle and thigh. The most common types of injuries are strains, sprains, and contusions [ 3 , 4 ]. Approximately 40%–60% of injuries occur due to contact with another player or object during the game [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

The effect of core stability training on ball-kicking velocity, sprint speed, and agility in adolescent male football players

Sofuoğlu,

Güçhan Topçu,

Bayrakcı Tunay

2024

PLoS ONE

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This study was conducted to investigate the effect of core stability training program on ball-kicking velocity, running speed, and agility in adolescent male football players. To this end, 36 male football players aged 12–14 were divided into the training group and control group. Before implementing the core stability training program, participants’ ball-kicking velocity, sprint speed, and agility performance were measured with a Bushnell velocity radar gun, 20 m sprint test, and 505 agility test, respectively, in both training group and control group. After the measurements, the training group followed core stability training program three days a week, for eight weeks in addition to the routine training program, while the control group followed the routine training program only. Ball-kicking velocity, sprint speed, and agility performance were re-measured in both groups after the completion of the core stability training program. Significant improvements were detected in all parameters, i.e., ball-kicking velocity, sprint speed, and agility performance in the training group (p<0.05). On the other hand, in the control group, no significant change was detected in the ball-kicking velocity and sprint speed (p>0.05), whereas a significant improvement was observed in agility performance (p<0.05). Inter-group comparisons revealed statistically significant differences between the groups in ball-kicking velocity and sprint speed in favor of the training group (p<0.05), while no significant difference was found between the groups in agility performance (p>0.05). In conclusion, this study’s findings suggest that core stability exercises can be incorporated into the routine training program of adolescent male football players.

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Talent identification and development in soccer since the millennium

Cited by 4 publications

References 0 publications

Cues for predictive eye movements in naturalistic scenes

Cues for predictive eye movements in naturalistic scenes

Descriptive analysis of injury types and incidence during futsal preseason across different competitive levels

The effect of core stability training on ball-kicking velocity, sprint speed, and agility in adolescent male football players

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