Methodological Approaches to Talent Identification in Team Sports: A Narrative Review

An examination of signs, samples and subjective expert opinion as predictors of (de)selection in a youth male soccer academy in the UK

Multidisciplinary profiling provides coaches with key information to augment their (de)selection decisions. These profiles often encompass objective and subjective data in the form of signs (isolated assessments), samples (contextualised assessments) and subjective expert opinion (SEO). Whilst multiple sources of information are considered by coaches during their decision-making, research exploring the extent to which objective and subjective multidisciplinary information can classify (de)selection is limited. Multidisciplinary data (physical profiling, match statistics, coach match ratings) were collected on 58 Under-16 (n = 20) and Under-18 (n = 38) youth male soccer players from a single academy in the United Kingdom. Group-level differences between selected (n = 39) and deselected (n = 24) players were explored, and binary logistic regression models were created to classify (de)selection. Analysis revealed a significant difference between selected and deselected players for match ratings (p < 0.0001), 505 left foot (p < 0.01), frequency of passes, percentage of successful aerial duels, and percentage of accurate crosses (p < 0.05). A classification model containing signs, samples and SEO data demonstrated the best model fit (AIC = 72.63), the highest discriminatory power (AUC = 0.79) and classified players with the greatest accuracy (78%) for (de)selection purposes. The use of signs, samples and SEO can support (de)selection decisions but fails to fully represent the complexity of the (de)selection process.

Chilean National Sports Talent Detection System: Influence of Biological Age, Sex, and Geographic Area

The purpose of this study was to assess the methodology for selecting sports talent in the Chilean Promising Athletes Program (CPAP).

METHODS

The standing broad jump (SBJ), medicine ball chest throw (MBCT), thirty-meter running sprint (RS-30), Agility-T (T-test), and height were analyzed in 3060 schoolchildren from Chile, grouped by sex, age, geographical area (north, central and south) and maturity status at peak height velocity (PHV) in pre-, circa- and post-PHV.

RESULTS

Superior differences were found in boys for all age ranges in SBJ, RS-30, T-test, and MBCT (p < 0.05). Girls were taller than boys until the age of 12 years (p < 0.01) with a reversal of this trend after 13 years old (p < 0.001). In geographical grouping, higher scores in SBJ, RS-30, and T-test were found in the central zone for boys and girls (p < 0.05). In both sexes, higher scores for the northern zone in MBCT (p < 0.01) and height (p < 0.05) are observed. Among selected talents, when comparing post-PHV vs. pre-PHV the differences are superior in all tests for post-PHV in girls and for MBCT and height (p < 0.05) in boys. In circa-PHV vs. post-PHV in MBCT, T-test, and RS-30 only girls (p < 0.05) were superior in post-PHV. For pre-PHV vs. circa-PHV, RS-30, and height (p < 0.05), both sexes were superior in circa-PHV. There are differences between talents selected by physical tests and technical aspects (p < 0.05).

CONCLUSIONS

The results show variations in physical and anthropometric tests in schoolchildren by age, sex, geography, and maturity status that should be considered for talent selection.

Goldfit Soccer: A Multidimensional Model for Talent Identification of Young Soccer Players

Studies have provided empirical evidence on the prognostic relevance of test batteries and the "coach's eye" for talent identification. The aims were 1) to compare objective and subjective assessments as well as a combined soccer-specific potential index between future selected and non-selected players and 2) to evaluate the prognostic validity of a multidimensional model as a tool for talent identification in soccer. The sample was composed by 132 male players (14,5 ± 1,4 years; regional competitive level) from U13 to U17 age groups of a Brazilian soccer talent development program. Athletes completed a multidimensional test battery and were subjectively rated by their coaches for sporting potential. Players' success was evaluated five years later and was operationalized by achieving under-20 category of the Brazilian Championship or adult professional level (success rate, 15.9%). Confirming univariate prognostic validity, future selected outperformed non-selected players regarding 20-m sprint (p = .009), agility (p = .04), countermovement jump (p = .04), sit-and-reach (p = .001), Yo-Yo IR1 (p = .001), dribbling (p < .001), perceived competence (p = .007), peaking under pressure (p = .01), confidence/motivation (p = .03), coping skills (p = .03), intangibles (p < .001) and player potential (p < .001). A combined index (objective tests, athlete's assessments and coach's eye) named Gold Score Soccer (GSS) showed high prognostic validity (p < .001). A binary logistic regression estimated the probability of success (yes/not) with GSS, ambidextrous and predicted age at peak height velocity as predictors. This multidimensional model named GoldFit Soccer showed high prognostic validity (sensitivity = 85.7%; specificity = 83.8%; accuracy = 84.1%; area under the ROC curve = .93 [.87-.98]). Thus, GoldFit Soccer is a valid multidimensional scientific model for talent identification in soccer.

Prediction of talent selection in elite male youth soccer across 7 seasons: A machine-learning approach

This study aimed to investigate the relative importance of parameters from several domains associated to both selecting or de-selecting players with regards to the next age group within a professional German youth soccer academy across a 7-year period. Following a mixed-longitudinal approach, physical, physiological, psychological, skill-, health-, age-, and position-related parameters were collected from 409 male players (980 datapoints) from the U12 to U19 age groups. Supervised machine learning classifiers were used to predict the selection status regarding the next age group. The XGBoost models (ROC-AUC: 0.69, F1-Score: 0.84) revealed that physical and physiological (linear sprint, change-of-direction sprint, countermovement jump, aerobic speed reserve) as well as skill-related parameters (soccer-specific skill) were most important for being selected or de-selected regarding the next age group across the entire sample and all age groups. The majority of psychological parameters (motive structure, motive attention, motive competition, cognitive flexibility) were of medium importance. No clear pattern was observed for the health-, age-, and position-related parameters. Our study provides insights into key parameters for talent selection thereby contributing to an overall talent management strategy in highly trained youth soccer players. In particular, coaches and key stakeholders might focus on physical, physiological, and skill-related parameters.

'Goalkeepers are players too': key attributes coaches' look for in talented youth soccer goalkeepers

OBJECTIVE

Currently, there is a gap in knowledge on what the key goalkeeper attributes are during talent identification and selection in soccer. Hence, the objective was to investigate South African coaches' perceptions regarding key attributes of talented youth soccer goalkeepers.

DESIGN

Cross-sectional survey.

METHODS

A total of 173 soccer coaches (130 men and 43 women; Mage = 36.6 ± 10.4 years; Mcoaching experience = 8.4 ± 7.3 years) were purposively recruited to participate in the study. All of the participants completed the Talent Identification Questionnaire in Soccer - Goalkeepers (TIDQS-GK).

RESULTS

The six-component solution identified by the principal component analysis accounted for 68.96% of the total variance. Coaches deemed psychological (e.g. concentration, bravery, self-discipline), physical (e.g. speed, flexibility), social (e.g. coachability, communication), technical (e.g. catching the ball, first touch), tactical (e.g. defensive organisation against set plays) and perceptual-cognitive skills (e.g. decision-making) as important factors in identifying talented goalkeepers.

CONCLUSIONS

The study offers new insights into the key attributes that soccer coaches look for in talented goalkeepers such as concentration, bravery, speed, coachability and decision-making and could direct coaches towards more objective evaluation strategies for informing their decisions.

Maturity Status and Relative Age of Elite Taekwondo Youth Competitors-Case Study on Croatian National Team

This study examines the maturity status and relative age effect in elite youth taekwondo Croatian National Team athletes. Measurements of biological age, maturity offset, and body composition were taken from a sample of 17 junior athletes. Differences in maturity status were observed among athletes of the same chronological age, with variations in sitting height and age at peak height velocity. Male athletes generally exhibited higher values in body height, percentage of body fat, muscle mass, and total body water. No significant relative age effect was found. These findings highlight the importance of considering individual biological age and maturity status for talent development and training program adjustments. Further research involving athletes from different countries is recommended to validate these results and enhance the understanding of youth taekwondo athlete development.

The naturalness bias in sport

We examined the naturalness bias - the tendency to prefer people who seem to come by their talent naturally and not through work or effort - on ratings of athletic ability. Football (soccer) coaches, athletes, fans, and non-fans (n = 430) read about an athlete described as either being a natural or a striver. After watching a video of the athlete going through drills, participants rated the athlete on likelihood of success, athletic skill, mental strength, and physiological ability. Participants of all expertise levels tended to rate the athlete described as a natural as being higher in mental toughness than did the participants rating the athlete described as being a striver. There were no significant differences in ratings for the natural and the striver for measures of skill and explosiveness. It appears that the naturalness bias was most likely to influence ratings not easily judged by viewing a single performance.

Special Issue "Talent Identification and Development in Youth Sports"

We are delighted to share our Special Issue on Talent Identification and Development in Youth Sports [...].

Predictive Value of Repeated Jump Testing on Nomination Status in Professional and under 19 Soccer Players

Soccer clubs invest time and money in multidimensional identification practices, but the field implementation is still problematic. The repeated vertical jump test (RVJ), as an alternative to the monodimensional vertical jump, may offer similar prognostic value. Therefore, the prognostic validity of 15 RVJ within professional (PRO, n = 24) and under 19 years old (U19, n = 20) Greek male soccer players was examined. T-test, binomial logistic regression, and receiver operating characteristic for prognostic validity of anthropometric and performance values in predicting PRO status were applied using Jamovi version 2.3.3.0. Significant group differences presented in body height and mass, body mass index (BMI), maximum and average jump height, and relative jump power. The predicting model was significant (x²(2) = 17.12, p < 0.001). Height and BMI were positive predictors of the PRO status (b = 21.66, p = 0.008 and b = 0.94, p = 0.014, respectively). The model was 73% accurate, 75% specific, and 71% sensitive, with excellent area under the curve. The RVJ test demonstrated outstanding discriminating prognostic validity. Until the applicability of the multidimensional models in predicting future player status is further established, field practitioners may use the simplistic RVJ testing to predict future status among male soccer players.

Strategy in talent systems: Top-down and bottom-up approaches

Building on a large volume of recent research in talent identification and development, this paper future directions for research and practice. We suggest that strategic coherence become a greater point of emphasis in both, with the Performance, Outcome and Process framework holding the potential to signal various markers of effectiveness. Secondly, greater recognition of the need to deploy limited resources where they promote movement toward these markers of effectiveness. Finally, we make recommendations for the operationalising of strategy in talent and performance systems by considering the integration of top down and bottom-up strategic processes.