Living 3:729167. doi: 10.3389/fspor.2021.729167. Ericsson KA, Krampe RT, Tesch-Rmer C. The role of deliberate practice in the acquisition of expert performance. Int. The included studies highlight the value of sport-specific technical skills in TID for discriminating different skill or performance levels and/or predicting later performance while depicting the narrow and limited knowledge we currently have in regard to different populations and various assessment methods. The researchers found differences between players with slower and faster dribbling test times for the foot-ball cadence, the mediolateral and vertical center of mass range of motion, the right stride cadence as well as the hip and the knee flexion range of motions. Editorial: Talent Identification and Development in Sports Anthropometric characteristics, physical fitness and technical performance of under-19 soccer players by competitive level and field position. Zago M, Piovan AG, Annoni I, Ciprandi D, Iaia FM, Sforza C. Dribbling determinants in sub-elite youth soccer players. Genes 10:972. doi: 10.3390/genes10120972, Pion, J., Teunissen, J. W., Ter Welle, S., Spruijtenburg, G., Faber, I. R., and Lenoir, M. (2020). Furthermore, it is important to realize the interaction of technical skills with tactical skills (e.g., game-reading, anticipation, decision-making) as the successful execution of a technicaltactical strategy is always dependent on both skill types. The data analysis was performed by Till Koopmann and Irene Faber. Unnithan V, White J, Georgiou A, Iga J, Drust B. Predictors of individual player match performance in junior Australian football. In particular, technical skills seem to be essential given the highly demanding and specialized proficiencies required for high-quality performance in various sports [23, 24] even during early phases of development [25]. Thus, all this body of scientific knowledge may be incorporated into the performance analysis scope, instigating new questions about the dynamical parameters of performance and potentially opening new windows of opportunity. The psychological characteristics of those players are Hill on a mountaintop: a longitudinal and cross-sectional analysis of the relative age effect in competitive youth football. Front. see it as that component of development that is present at birth differentiating it from skills, which reflect learned behaviors that may be confounded by talent [12]. WebEven in traditionally early specialization sports it is important to create foundational FUNdamental practice in which a broad spectrum of skills can be developed rather than apply talent ID protocols within their sports to identify and recruit existing athletes from regional sport programs into national programs, and also to (2018). Psychol. On the one hand, our findings demonstrate the great capability of sport-specific technical skills assessments to discriminate different performance levels and predict future performance in TID activities. In summary, despite a host of unique challenges, biomechanical motion analysis data could be used to deepen and extend relationships between sport-specific technical skills and performance. While this appears to be easier for constrained and closed movements (e.g., in gymnastics, cycling or rowing), it is harder to establish for open movements with many degrees of freedom (e.g., in basketball, soccer or baseball) [25], because in the latter, different control and coordination patterns can produce the same outcome parameters leading to the same result (e.g., two different shooting motions leading to the same ball trajectory and the same result in basketball). Wilson RS, Smith NM, Ramos SdP, Giuliano Caetano F, Aparecido Rinaldo M, Santiago PRP, et al. Dwan K, Gamble C, Williamson PR, Kirkham JJ. (2020). A multidisciplinary selection model for youth soccer: the Ghent Youth Soccer Project. Seventeen studies did not provide information on the participants sex. Sport coverage. Before Huijgen BCH, Elferink-Gemser MT, Ali A, Visscher C. Soccer skill development in talented players. Anthropometric characteristics, field test scores and match-related technical performance in youth indoor soccer players with different playing status. However, these studies also noted that their data are affected by growth and maturity processes as less mature rugby players were not selected despite performing higher volumes of high-intensity running [90]. A significant body of scientific research discusses longitudinal and non-linear talent identification and development processes, the qualities that underpin elite performance in sport, and how coaches could facilitate talented athletes' development through the sports system (Baker et al., 2020). The few studies analyzing sport-specific technical skills with competition performance data (i.e., applying an outcome-related method type and a competition method set-up) found contested possessions/marks and inside 50s to be associated with better draft selection in Australian Football [92, 94]; while, number of dribbles or tackles/blocks/interceptions, dribbling speed and (un-)successful ball retentions were able to discriminate elite from sub-elite or selected from unselected players in soccer [84, 89]. Perceptual-cognitive expertise in sport: a meta-analysis. [46] investigated technical skills applying an experimental method set-up and a combination of both technique-related and outcome-related method types. Study characteristics were manually extracted into custom Excel workbooks (Microsoft Excel 2019, Microsoft Corporation, Redmond, Washington, USA) for all studies included in the review. Journal of Sports Sciences Latest Articles. Elferink-Gemser MT, Te Wierike S, Visscher C. The acquisition and maintenance of expertise. This systematic review summarizes and categorizes studies between the years 1990 and 2019 that investigated differences in sport-specific technical skills in young athletes from different skill or performance levels and/or the role of these skills in predicting later performance. This position specificity in combination with frequently used group comparisons (e.g., selected vs. non-selected, elite vs. non-elite), where performance/scores of all players of a team or group are combined, neglects differences across roles and positions and may lead to methodological problems and/or inconclusive results. This means that many of these talent selection processes fail to integrate essential indicators when assessing young talent (Romann, 2020). Archer DT, Drysdale K, Bradley EJ. 48, 907931. Dribbling speed along curved paths predicts attacking performance in match-realistic one vs. one soccer games. Reflecting on Eliud Kipchoge's marathon world record: an update to our model of cooperative drafting and its potential for a sub-2-hour performance. 38, 13521358. Huijgen BC, Elferink-Gemser MT, Lemmink KA, Visscher C. Multidimensional performance characteristics in selected and deselected talented soccer players. [59] state that the high skill level in both groups (elite and sub-elite) probably led to similar results in the technical skills assessment in rhythmic gymnastics. No use, distribution or reproduction is permitted which does not comply with these terms. Indeed, the growing complexity of processes impacting talentID are highly unpredictable and it will never be possible to consider this phenomenon as an exact science. The applied checklist included a total of 16 items assessing the articles overall quality based on a score of 0 for missing or insufficient and 1 for presented and sufficient information. New comprehensive research proposals are emerging (Bonney et al.) To advance knowledge in this field, it is necessary to start from a broad consensus among the scientific community members on this topic. Guimares E, Baxter-Jones A, Maia J, Fonseca P, Santos A, Santos E, et al. Studies must contain a skill and/or performance level assessment. Front. Challenges and [Possible] Solutions to Optimizing Talent Identification Top draft picks like Victor Wembanyama, Scoot Henderson and That is, there is a significant chance of studies assessing technical skills and finding no positive value for TID not being published (e.g., either due to bias on the part of the journal or the authors to publish null findings) [100]. To evaluate ecological validity and task representativeness, we examined the assessment methods set-up and classified these as experimental (i.e., experimental assessment of isolated actions assessing various variables, e.g., time needed for slalom course or shots made in shooting task) and/or competition (i.e., video and notational analysis of competitions/matches assessing various variables, e.g., number of interceptions or successful passes) methods. Results: In line with earlier research, the results showed that the coaches considered the technical, tactical, and mental factors as the most important in talent identification. Talent Identification and Development in Sport Clin. Talent identification and development (TID) programs aim to identify players with the greatest potential for long-term success. Under the vast majority of contemporary sports systems, participants are categorized into annual age groups to reduce the developmental differences during childhood and adolescence. French KE, Spurgeon JH, Nevett ME. Accessibility A multivariate analysis of performance in young swimmers. Raa A, Kuvai G, De Giorgio A, Sellami M, Ardig LP, Bragazzi NL, et al. Key success factors for merging sport science and best practice. The methodological quality of all included articles was evaluated using a modified checklist based on the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) Statement [38] and its adaptations by Smith et al. ; Coutinho et al.) Thus, Glazier [25] emphasizes the need for athlete-specific optimal techniques for different sports [25] while at the same time stating this to be impossible at present. The financial strain the Dolphins are placing on the franchise to pay for big-ticket talent eventually will force a reset. Identification of sleeping talent using psychological characteristics in junior elite ice-hockey players. In this sense, big data is playing an epicentral role in helping scientists better understand players behaviors, such as dynamic positioning in their natural environments (Gonalves et al., 2018) and within their in-game actions (Fernandez and Bornn, 2018). Silva AJ, Costa AM, Oliveira PM, Reis VM, Saavedra J, Perl J, et al. Overall, most studies showed confirming results regarding the discriminatory, explanatory and/or predictive capabilities of sport-specific technical skills, while the level of evidence was mainly limited to moderate, mostly because of a lack of studies applying the specific assessment methods. Other skills such as successful passes, on-target shots, crosses and clearances did not differ by playing status [84]. The roles of growth, maturation, physical fitness, and technical skills on selection for a Portuguese under-14years basketball team. Sports Betting; Boxing; CFL; Cricket; F1; Golf; Horse; MMA; Is size important? Saward C, Morris JG, Nevill ME, Sunderland C. The effect of playing status, maturity status, and playing position on the development of match skills in elite youth football players aged 1118years: a mixed-longitudinal study. Lees A. To do this, inevitably, there must first be a clear consensus among researchers to establish who is considered a talented athlete. WebThe key to becoming more effective at identifying, confirming and developing Talent is determining how much of the performance that can be measured. (2019). The most prevalent approaches in TID studies included in this review checked for differences (e.g., ANOVA-based approaches) in specific variables between athletes from different skill/performance levels (e.g., selected vs. unselected or elite vs. sub-elite). Le Moal E, Ru O, Ajmol A, Abderrahman AB, Hammami MA, Ounis OB, et al. To what extent all these evolving technologies have affected talent identification and development, and the selection process still requires much broader and deeper investigation. Alongside, advanced processing techniques have accompanied this journey, such as machine learning and deep learning (Cust et al., 2019; Musa et al., 2020), data mining (Dubois et al., 2020), artificial intelligence (Claudino et al., 2019), or training programs based on virtual reality and virtual augmented interaction (Michalski et al., 2019). Talent Identification in sports: a brief introduction by Hylyght. In: Ericsson KA, Hoffman R, Kozbelt A, Williams M, editors. The findings described above emphasize the crucial role of sport-specific technical skills in sports performance and accordingly in TID. Rebelo-Gonalves R, Figueiredo AJ, Coelho-E-Silva MJ, Tessitore A. King D, Hume P, Cummins C, Pearce A, Clark T, Foskett A, et al. J. Med. doi: 10.1007/s40279-019-01056-2, Jackson, R. C., and Comber, G. J. While disagreement can foster scholarly debate and, consequently, lead to a better understanding of a particular phenomenon, it can also serve as a barrier for application.