| Literature DB >> 36078360 |
Diogo Mendes1, Bruno Travassos2,3, José M Carmo1, Felippe Cardoso4, Israel Costa5, Hugo Sarmento1.
Abstract
This review aimed to identify and synthesize the most significant literature addressing talent identification and development in futsal. A systematic review of Web of Science™ (all databases), Scopus, PubMed and SPORTDiscus databases was performed according to the preferred reporting items for systematic reviews and meta-analyses guidelines. This study included original articles in English, Spanish or Portuguese containing relevant data on talent development/identification of male futsal players. The search yielded 238 articles. After screening, a total of 32 manuscripts were fully reviewed. The quality of the data reviewed was generally good. Results indicate that the most successful players exhibit technical, tactical, anthropometric, physiological and psychological advantages and are distinguished from lower-level players based on their earlier dedication to training. This review highlights the need for those involved in the process of identifying and developing talented futsal players to consider the technical and tactical skills of futsal players, along with their anthropometric and physiological characteristics, scaled to age. Finally, special attention should be paid to the supportive psychosocial environments created in sports academies for developing futsal players. Overall, talent identification and development programmes in futsal need to be dynamic and offer the possibility of changing assessment parameters in the long term.Entities:
Keywords: elite futsal; expertise; indoor soccer; youth development
Mesh:
Year: 2022 PMID: 36078360 PMCID: PMC9517923 DOI: 10.3390/ijerph191710648
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1Flow chart of the article search procedures.
Figure 2Scopes of talent identification and development in futsal.
Assessment of quantitative studies quality.
| Study | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Q10 | Q11 | Q12 | Q13 | Q14 | Q15 | Q16 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [ | 1 | 1 | 1 | 1 | 1 | NA | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 86.7% |
| [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 87.5% |
| [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 81.3% |
| [ | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 75.0% |
| [ | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 75.% |
| [ | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 56.3% |
| [ | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 75.0% |
| [ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 68.8% |
| [ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 81.3% |
| [ | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 81.3% |
| [ | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 50.0% |
| [ | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 56.3% |
| [ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 62.5% |
| [ | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 68.8% |
| [ | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 62.5% |
| [ | 1 | 1 | 1 | 1 | 1 | NA | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 86.7% |
| [ | 1 | 1 | 1 | 0 | 0 | NA | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 60.0% |
| [ | 1 | 1 | 1 | 1 | 1 | NA | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 66.7% |
| [ | 1 | 0 | 1 | 1 | 1 | NA | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 73.3% |
| [ | 1 | 1 | 1 | 1 | 0 | NA | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 66.7% |
| [ | 1 | 1 | 1 | 1 | 0 | NA | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 73.3% |
| [ | 1 | 1 | 1 | 1 | 0 | NA | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 66.7% |
| [ | 1 | 1 | 1 | 1 | 0 | NA | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 66.7% |
| [ | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 81.3% |
| [ | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 68.8% |
| [ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 75.0% |
| [ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 68.8% |
| [ | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 75.0% |
| [ | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 68.8% |
| [ | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 62.5% |
Assessment of qualitative studies quality.
| Study | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Q10 | Q11 | Q12 | Q13 | Q14 | Q15 | Q16 | Q17 | Q18 | Q19 | Q20 | Q21 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [ | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 57.1% |
| [ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 76.2% |
Studies with predominantly specificity and volume of futsal-specific practice analysis.
| Study | Sample | Main Variables | Procedure | Results | Quality Score |
|---|---|---|---|---|---|
| Pereira Ramalho Serrano, Leal dos Santos [ | Study 1: 371 futsal players from three levels of expertise—elite ( | Sport-initiation, early sport involvement and specialization in futsal training | Validated questionnaires from [ | Elite players are distinguished from lower-level competitive players for their earlier dedication to the sports training (specifically to futsal). | 86.7% |
Studies with predominantly psychological factors analysis.
| Study | Sample | Main Variables | Procedure | Results | Quality Score |
|---|---|---|---|---|---|
| Pastor-Vicedo, Prieto-Ayuso [ | 97 youth football players (from u-10 to u-14 age group), which 18 was identified—talent pool—and 1087 actions. | The process of decision-making | The Nomination Scale for Identifying Football Talent was utilized to screen the talent pool ( | The effectiveness must be more than 80% for children to be considered talented. A greater effectiveness of DMUs was shown in older age groups. | 87.5% |
| Álvarez-Kurogi, Onetti [ | 167 young futsal players from 14 years old to 19 years old (candidates for the Spanish National Futsal Team, competing at the highest level in the U16 and U19 categories) | Psychological characteristics and their influence in performance | Questionnaires about their physical person (height, weight, age), their social-demographic characteristics as a futsal player and psychological profile. | Goalkeepers had the best psychological profile and characteristics related to SP. | 81.3% |
| Bennett, Novak [ | 328 academy youth soccer players from three developmental stages: late childhood (8.0–10.9 year), early adolescence (11.0–13.9 year) and mid-adolescence (14.0–16.9 year). | Decision-making capacity | Video-based decision-making assessment, with response accuracy and response time recorded for various attacking situations. | Response times were significantly faster in early and mid-adolescent players when compared to those in the late childhood group. | 75.0% |
| Duncan, Oppici [ | 23 male futsal athletes (11 players of an expert European futsal team and 12 amateur players-mean age: 28.7 ± 4.9 years). | Electro-cortical activity and reaction time | Congruent and incongruent trials of a modified Flanker task on a customized computer screen. | There was a significant difference in reaction time and error rate in congruent and incongruent task performance, and difference in electro-cortical activity between groups in the performance of both congruent and incongruent tasks. | 75.0% |
| Moreira, Da Silva Matias [ | 30 futsal players aged 9 years from two different teams (15 players in each team). | Teaching-learning-training processes in tactical knowledge | Global analytical method. | Training methods lefted on decision making and development of tactical abilities are indicated to better promote the development of players capable of intelligent and creative actions. | 56.3% |
| Ferreira Junior, de Almeida [ | 9 male sub-20 futsal players, aged between 17 and 20 years. | Decision-making capacity and declarative knowledge | Questionnaires about decision-making in variable situations. | The decision taken for the athlete and its justification, in some situations, were not ideal from the point of view of “experts”. | 57.1% |
Studies with predominantly technical and tactical skill analysis.
| Study | Sample | Main Variables | Procedure | Results | Quality Score |
|---|---|---|---|---|---|
| Yiannaki, Barron [ | 16 futsal players belonging to a national team during an international tournament, aged 25.74 ± 4.71 years. | Match performance: physical and technical performance. | Pre-tournament physical testing (Yo-Yo IR1) and match analysis (to select relevant technical variables for analysis. | Mean heart rate value during ‘court time’ of 164.7 ± 22.3 beats min-1, which as a percentage of participants′ MHR was 87.7% ± 4.4%, and a mean peak MHR of 98.3 ± 2.5%. | 75.0% |
| Yiannaki, Carling [ | 77 participants were included, of which 56 were coaches from an “Advanced Youth Award” and 21 were players. | Futsal as a potential talent development modality for soccer | Surveys were used in order to gauge the perceptions of the participants. | 89.6% of participants suggested that pitch size improved skills; | 68.8% |
| Práxedes, Moreno [ | 19 Spanish football players (U12), separated into two ability groups (Average versus Low skill-level). | Small-sided games on tactical behavior (decision-making capacity) | Game Performance Evaluation Tool (GPET). | Groups with an average level of expertise, training with numerical superiority in attack provides players with more time to make better decisions and to better execute actions. | 81.3% |
| Mohammed, Shafizadeh [ | 144 elite players from 12 national teams and 60 semi-elite players from 5 domestic clubs in England. | Level of expertise | The matches were played again using Sports Code software (Sportstec, Co., Warriewood, NSW, Australia) that was configured in terms of hot key notation of actions in both physical and technical variables. | Elite players demonstrated more successful attempts in passing, dribbling and shooting. | 81.3% |
| Polidoro, Bianchi [ | 20 pre-teens 9–10 years-old organized by the coach in two homogeneous groups (sample group | Performance analysis and skills improvement–control of the ball, driving the ball and shooting | The players practice twice a week for one year. But only 10 players view training videos before each practice. The two groups have the same technical characteristics (homogeneous). | (1) The use of video-motor learning is more effective in the technical development of young players in the age of 9–10 years old; | 50.0% |
Studies with predominantly anthropometric and physiological analysis.
| Study | Sample | Main Variables | Procedure | Results | Quality Score |
|---|---|---|---|---|---|
| Da Silva Romero, Ferreira Da Rocha [ | 14 male futsal Brazilian athletes, aged 16 ± 1 years, participating in state championship under 20 category. | Morpho-functional profile | Tests to assess body composition, aerobic power, abdominal strength endurance, flexibility, leg strength, lower limbs power, speed and agility to change direction. | Futsal athletes showed body fat percentage classified as good (8.0 ± 3.3%) and higher aerobic power (VO2max: 59.7 ± 6.7 mL/kg/min). | 56.3% |
| Galy, Zongo [ | 22 (14 Melanesian, aged 24.4 ± 4.4 years, and 8 Caucasian, aged 22.9 ± 4.9 years) elite futsal players. | Anthropo-metric and physiological characteristics | Tests of Counter Movement Jump, agility (T-Test), repeated sprint ability (RSA), RSA with change-of-direction (RSA-COD), sprints with 5 m, 10 m, 15 m and 30 m lap times, and aerobic fitness with the 30–15 intermittent fitness test (30–15 IFT). | Significantly lower height for MEL-G compared with NMEL-G and a trend for BMI. | 62.5% |
| Ré, Corrêa [ | 49 Brazilian post-pubertal indoor soccer players (aged 16.9 ± 0.5 years old) of different competitive standards (24 elite and 25 non-elite). | Anthropometric characteristics and motor skills | Anthropometric measurements. | Anthropometric characteristics and physical capacities do not necessarily differentiate players at post-pubertal stages and should not be overvalued during early development. | 68.8% |
| Queiroga, Ferreira [ | 112 female players (22.1 ± 5.4 years; 58.4 ± 6.9 kg; 161.8 ± 6.2 cm), from ten teams and seven different states, who had participated in Taça Brazil. | Somatotype and performance | The somatotype dispersion distance was applied to compare somatotypes between the champion team (reference) and the other teams (from 2nd to 10th position). | Endomorphic component was predominant in relation to the mesomorphic and ectomorphic component, irrespective of a team′s ranking at the end of the competition. | 62.5% |
Studies with predominantly relative age effect analysis.
| Study | Sample | Results | Quality Score |
|---|---|---|---|
| Figueiredo, Seabra [ | Birthdates of 5306 female and 126,285 male soccer players, and 2437 female and 23,988 male futsal players (U7–U19), registered in Portugal during the season 2019/2020, and Portuguese National teams (from U15 to AA soccer teams and from U17 to AA futsal teams). | Data showed a RAE in female and male youth soccer and futsal, particularly in male, younger age categories, and in clubs and academies having a higher certification level, which could be accompanied by a loss of valuable elite players during the youth phase of their careers. | 86.7% |
| Carraco, Galatti [ | 950 male futsal players who participated of the last three FIFA Futsal World Cups (2008, 2012 and 2016). | A mean CA of 27.76 ± 4.11 years with no differences for both playing positions and competitions. | 60.0% |
| Lago-Fuentes, Rey [ | 1873 professional futsal players who played in the First Division of the Spanish National Futsal League between seasons 2006–2007 and 2014–2015. | No homogeneous distribution was observed for any of the groups. Overrepresentation of players born during the last quarters of the year (Q3 and Q4), as well as a reduced presence of players born closest to the beginning of the year (Q1 and Q2). | 66.7% |
| Serrano, Shahidian [ | 2621 players, 220 adults international “AA” and 2401 young players of regional teams who participated in the inter-association national tournaments between 2014 and 2019. | Futsal in Portugal presents two completely different realities, with relative age effect being found in the male gender, but with no significant evidence in women. | 73.3% |
| Perondi, Dalla Valle [ | 848 futsal athletes, aged 23.18 ± 5.69 years—438 male athletes (aged 25.17 ± 6.11 years) and 410 female athletes (aged 21.06 ± 4.29 years)—who participated in Jogos Abertos de Santa Catarina, year 2015. | It was identified the effect of relative age in male futsal athletes while no relative age effect was identified in female futsal athletes. | 66.7% |
| Morales Júnior, Alves [ | 376 athletes from Brazilian Men National Futsal League (2013) and 227 from Brazilian Women National Futsal League (2014). | There is RAE in men futsal, predominantly on athletes born in the first semester. | 73.3% |
| Penna, Costa [ | 510 male futsal players from 23 Federação Mineira de Futsal teams (year 2009)-sub 11 ( | There were significant differences in the distribution of birth quartiles in four of the five categories evaluated, with a predominance of the first and second quartiles. | 66.7% |
| Penna and Couto de Albuquerque Moraes [ | 370 professional players who played the Brazilian Futsal League in 2009. | Predominance of first and second quartiles, and an under representation of third and fourth quartiles. | 66.7% |
Studies with socio-cultural influences analysis.
| Study | Sample | Main Variables | Procedure | Results | Quality Score |
|---|---|---|---|---|---|
| Marques, Schubring [ | 18 Brazilian National team futsal players. | Childhood socialization | Semi-structured interviews | The results show that (1) players experienced a fruitful social context and familial socialization that facilitated ‘ball-kicking capitals’, (2) developed a habitus that better matched the futsal than the soccer subfield and (3) delegitimized soccer as a suitable environment to participate in. | 81.3% |
| van Nieuwstadt, Das [ | 1097 male football elite players from Netherlands and 243 male Dutch elite players. | Birthplace effect | Surveys | Characteristics of the built environment, such as indoor and outdoor play opportunities, may be less influential in talent development than previously assumed. | 68.8% |
| Mascarin, Vicentini [ | 13 Brazilian women elite futsal players. | Career development | Retrospective, semi-structured, personal and individual interviews | Elite players demonstrated: | 76.2% |
Studies with predominantly multidimensional analysis.
| Study | Sample | Main Variables | Procedure | Results | Quality Score |
|---|---|---|---|---|---|
| Fortin-Guichard, Huberts [ | 110 Dutch youth male football players aged 8–12. | Predictors of selection into a youth academy | Players were assessed on anthropometry, physical fitness, gross motor coordination, technical ability and psychosocial capacities. | The best indicator for predicting selection was the 30 m sprint speed. | 75.0% |
| Ferreira, do Nascimento [ | 115 female futsal athletes, participants in the 20th Brazilian Cup of Adult Futsal Clubs. | Anthropo-metric profile and started status | Measurements of body mass, height, skinfold thickness, body perimeters and bone diameters, in order to characterize the anthropometric profile and determine the body somatotype. | There was no ERA in distribution, anthropometric profile, or starter status between athletes born from January to June and those born between July and December. | 68.8% |
| Zuaneti Martins, dos Reis [ | 69 female futsal players, with a mean age of 23.75 ± 3.93 years old, members of their national teams (Bolivia, Peru, Uruguay, Colombia, Argentina and Venezuela). | Sports career and the formation context–practice start, amount of training and psychosocial support | Survey divided in 4 points: (a) place and age of beginning of futsal practice; (b) age at the beginning of systematic practice and investment in futsal specialization; (c) psychosocial elements to support futsal practice; (d) elements of dedication to training and career in the current stage of futsal. | Results showed a paradoxal context, in which the primary introduction to futsal occurred at the sports club, a structured place, but without sports competitions, to promote a development of the talent. | 75.0% |
| Da Silva, Travassos [ | 80 passes performed by 40 male players differentiated by levels of experience, knowledge and skill. | Effect of experience, knowledge and skill on the performance | Questionnaire about the participants′ time and type of experience, | Players with low levels of knowledge performed successful passes with higher initial angular values than unsuccessful passes. | 68.8% |
| Re, Cattuzzo [ | 60 elite adolescent players (aged 14.0 ± 0.93 years) grouped as starters ( | Anthropo-metric characteristics vs technical performance | Weight, height and skinfold thickness of the thigh, triceps and abdomen were measured following the standardization suggested by Lohman, Roche and Martorell (1988). | In elite adolescent players, anthropometric characteristics and isolated skills do not predict match- related technical performance and should be used with caution for talent identification or training purposes. | 62.5% |