Seasonal Variation of Agility, Speed and Endurance Performance in Young Elite Soccer Players

The aim of this study was to investigate changes in the linear running speed (LRS) for 30 m, change of direction speed (CODS), and endurance in young elite Czech soccer players. The following tests were conducted to assess CODS and endurance: Agility 505 turning toward the dominant (A505DL) and non-dominant lower limb (A505NL); Illinois Agility Test (IAT); and intermittent test (Yo-Yo IRT1). During the soccer season, we investigated performance at the following time periods: the start (t1) and the end of the pre-season period (t2); during (t3) and at the end of the competitive period (t4). Repeated measurement analysis of variance revealed a signi cant effect of time period on selected tness parameters (p < 0.05). Post hoc analysis for test A505DL revealed signi cant improvements of performance at t3(2.71 0.08 s) and t4(2.72 0.06 s) compared to t1 (2.81 0.09 s). A505NL was signi cantly different between t1(2.83 0.09 s) and t2(2.76 0.09 s), t3(2.7 0.07 s) and t4(2.71 0.09 s). Performance of CODS at t1for the IAT (18.82 0.56 s) was signi cantly lower (p < 0.05) than any other time period (t2= 18.52 0.63 s, t3= 17.94 0.51 s, t4= 17.89 0.66 s). The power of LRS was signi cantly different at t3(4.99 0.15 s), and t4 (4.98 0.17 s) compared to t1(5.15 0.21 s), and t2(5.07 0.14 s). For the Yo-Yo IRT1 test, we observed a signi cant increase in performance between t1(625.26 170.34 m), t2(858.95 210.55 m), and t3(953.68 229.88 m). These results show the impact of soccer season time period on young soccer player performance and may further serve as a basis for comparison with similar research conducted by

t1(5.15 0.21 s), and t2(5.07 0.14 s). For the Yo-Yo IRT1 test, we observed a signi cant increase in performance between t1(625.26 170.34 m), t2(858.95 210.55 m), and t3(953.68 229.88 m). These results show the impact of soccer season time period on young soccer player performance and may further serve as a basis for comparison with similar research conducted by peers. These results may aid sports practice for clinicians, conditioning coaches, soccer coaches and physiotherapeutic coaches. Keywords:motor skills; soccer performance; talent identi cation; football; training and testing 1. Introduction In soccer, there are demands imposed on soccer players in terms of tness readiness requirements to produce power, explosiveness, speed, agility, balance, body stability, exibility and an adequate level of endurance [1–3]. Maintaining a high level of these components throughout the season is necessary for achieving consistent high-quality performance, while the basis for these individual components of players is built during youth. Aerobic capacity is an important factor which, in addition to the quality of the game itself, ultimately affects the nal position of the teams in the league [4,5]. Moreover, aerobic capacity has bene cial effects on parameters such as total time spent on high intensity activities during the game, number of sprints and the number of contacts with the ball during the match. High aerobic capacity also enhances recovery from high-intensity interval loads [6,7]. Components of anaerobic capacity have the biggest impact on the nal outcome of the match and are characterized by repeated short high-intensity activity. The number of these high-intensity activities during the match falls in Sports2017,5, 12; doi:10.3390/sports5010012

Sports2017,5, 12 2 of 8 the range of 150–250 [8] and include acceleration, maximum speed and agility [9]. It is essential to stimulate and maintain these skills constantly during the training process. High-intensity physical activities are similar in terms of morphological and biochemical determinants and are believed to be interconnected [10], however they are affected by the method of operation and player position. During the game, players carry out more than 1200 acyclic or unforeseen changes in direction in various movement intensities [11]. Short sprint, acceleration, deceleration, turning, jump kicks into the ball, and stopping an opponent are purposeful and dangerous physical activities during the game [12,13] and are dependent on the explosiveness and the level of muscular strength of the player [14,15]. The level and balance between anaerobic and aerobic capacity is an important parameter for high performance [16,17]. Previous studies dealing with variability of performance during the season have been focused on professional [18,19] and semi-professional adult players [20] and one study of young players focused on changes in power skills and repeated sprint ability [21]. In the present study, we focused on young players from the under 13 years-of-age (U13) category where we observed changes over time from pre-season preparation to the end of the competitive period. Monitoring of physical preparedness parameters in the youth age group is an important part of the training process because it is an important period of physical development. Sport coaches and scientists can analyse the factors that affect athletic performance (health, genetic predisposition or how the player works in the training process) to provide useful information about the strengths and weaknesses of young soccer players. The aim of this study was to investigate changes in performance of linear running speed, change of direction speed and endurance throughout the season of young soccer players. 2. Materials and Methods 2.1. Participants The sample consisted of 28 players from the U13 category of the highest level Czech league during the 2015–2016 season (age: 11.7 0.5 ages, body height: 149.3 7.8 cm, body weight: 40.5 5.7 kg). Players completed ve trainings and one match during

of direction speed and endurance throughout the season of young soccer players. 2. Materials and Methods 2.1. Participants The sample consisted of 28 players from the U13 category of the highest level Czech league during the 2015–2016 season (age: 11.7 0.5 ages, body height: 149.3 7.8 cm, body weight: 40.5 5.7 kg). Players completed ve trainings and one match during the week microcycle. The average soccer experience of players was 5.59 0.89 years. During testing, all subjects were healthy, and none was recently injured. 2.2. Time Management of Research The pre-season period started 20 January and ran until 28 March. There were 69 training units (TU) and 10 matches (M) during this period. The rst half of the competitive period lasted from 28 March until 9 May with 23 TU and nine M. The second half of the competitive period was from 9 May until 20 June and included 23 TU and 11 M. Individual tests were conducted four times during the season on the surface of fourth generation arti cial grass at the time of regular afternoon workouts (14:30 to 15:30 P.M.). All the tests were performed wearing football boots. A controlled warm-up by the trainer that lasted 25 minutes and consisted of jogging (5 min), static stretching (5 min), dynamic stretching (6 min), athletic alphabet (5 min) and four runs (40 m with speed change), occurred before testing. Tests we carried out during the spring season of 2015–2016. Testing occurred at the beginning of the pre-season training period (t1), the start of the competitive period (t2), the middle of the competitive period (t3) and the end of the competitive period (t4) (Figure). The day before each test, players underwent a light training session.

Sports2017,5, 12 3 of 8Sports 2017, 5, 12 2 of 8 high-intensity activities during the match falls in the range of 150–250 [8] and include acceleration, maximum speed and agility [9]. It is essential to stimulate and maintain these skills constantly during the training process. High-intensity physical activities are similar in terms of morphological and biochemical determinants and are believed to be interconnected [10], however they are affected by the method of operation and player position. During the game, players carry out more than 1200 acyclic or unforeseen changes in direction in various movement intensities [11]. Short sprint, acceleration, deceleration, turning, jump kicks into the ball, and stopping an opponent are purposeful and dangerous physical activities during the game [12,13] and are dependent on the explosiveness and the level of muscular strength of the player [14,15]. The level and balance between anaerobic and aerobic capacity is an important parameter for high performance [16,17]. Previous studies dealing with variability of performance during the season have been focused on professional [18,19] and semi-professional adult players [20] and one study of young players focused on changes in power skills and repeated sprint ability [21]. In the present study, we focused on young players from the under 13 years-of-age (U13) category where we observed changes over time from pre-season preparation to the end of the competitive period. Monitoring of physical preparedness parameters in the youth age group is an important part of the training process because it is an important period of physical development. Sport coaches and scientists can analyse the factors that affect athletic performance (health, genetic predisposition or how the player works in the training process) to provide useful information about the strengths and weaknesses of young soccer players. The aim of this study was to investigate changes in performance of linear running speed, change of direction speed and endurance throughout the season of young soccer players. 2. Materials and Methods 2.1. Participants The sample consisted of 28 players from the U13 category of the highest level Czech league during the 2015–2016 season (age: 11.7 ± 0.5 ages, body height: 149.3 ±

this study was to investigate changes in performance of linear running speed, change of direction speed and endurance throughout the season of young soccer players. 2. Materials and Methods 2.1. Participants The sample consisted of 28 players from the U13 category of the highest level Czech league during the 2015–2016 season (age: 11.7 ± 0.5 ages, body height: 149.3 ± 7.8 cm, body weight: 40.5 ± 5.7 kg). Players completed five trainings and one match during the week microcycle. The average soccer experience of players was 5.59 ± 0.89 years. During testing, all subjects were healthy, and none was recently injured. 2.2. Time Management of Research The pre-season period started 20 January and ran until 28 March. There were 69 training units (TU) and 10 matches (M) during this period. The first half of the competitive period lasted from 28 March until 9 May with 23 TU and nine M. The second half of the competitive period was from 9 May until 20 June and included 23 TU and 11 M. Figure 1. Schematic representation of the study design. Summarization of training units (TU) and number of matches (M) during the pre-season period (t 1–t2), first half of the competitive period (t2–t3) and second half of the competitive period (t 3–t4). Individual tests were conducted four times during the season on the surface of fourth generation artificial grass at the time of regular afternoon workouts (14:30 to 15:30 P.M.). All the tests were performed wearing football boots. A controlled warm-up by the trainer that lasted 25 minutes Figure 1. Schematic representation of the study design. Summarization of training units (TU) and number of matches (M) during the pre-season period (t 1–t 2), rst half of the competitive period (t 2–t 3) and second half of the competitive period (t 3–t 4). No subjects performing physical testing had undergone any surgery on the knee joint, and within two days prior to testing, they had not undergone any exhausting physical activity. All test subjects were noti ed of the content and implementation of testing procedures and consent was obtained by signatures from

3) and second half of the competitive period (t 3–t 4). No subjects performing physical testing had undergone any surgery on the knee joint, and within two days prior to testing, they had not undergone any exhausting physical activity. All test subjects were noti ed of the content and implementation of testing procedures and consent was obtained by signatures from their parents. This research was approved by the ethical committee of the Faculty of Physical Education and Sport, Charles University in Prague (Czech Republic). Measurements were carried out in accordance with ethical standards of the Declaration of Helsinki and ethical standards in sport and exercise science research [22]. 2.3. Process of Physical Performance Assessment 2.3.1. Agility 505 Test (A505) The ability to perform single direction changes was investigated using the Agility 505 test, turning towards the dominant (A505DL) and non-dominant (A505NL) lower limb [14]. On each side, players completed two trials. 2.3.2. Illinois Agility Test (IAT) The ability to perform repeated quick direction changes was evaluated through the Illinois agility test (IAT) [23]. Players began the test on their own impulse from a standing position. Each of the players completed the test two times and for the analysis, we included the attempt with the better time. 2.3.3. Linear Running Speed (LRS) Linear running speed was measured by running 30 m from a standing position. Running time was recorded using two pairs of photocells (Brower Timing System, Utah). Players initiated the start on their own impulse. Players had two attempts and the better performance was kept for analysis. 2.3.4. Intermittent Yo-Yo Recovery Test Level 1(Yo-Yo IRT1) Endurance was investigated using the Yo-Yo intermittent recovery test level 1 (Yo-Yo IRT1), which is considered a valid and reliable tool for evaluating speci c intermittent endurance in soccer [24]. The Yo-Yo IRT1 consists of repeated 2 20 m runs back and forth between the start, turn, and nish line at a progressively increased speed controlled by audio bleeps from a tape recorder. Between each running bout, the subjects have a 10-s active rest period, consisting of 2 5 m of jogging. If the subjects

intermittent endurance in soccer [24]. The Yo-Yo IRT1 consists of repeated 2 20 m runs back and forth between the start, turn, and nish line at a progressively increased speed controlled by audio bleeps from a tape recorder. Between each running bout, the subjects have a 10-s active rest period, consisting of 2 5 m of jogging. If the subjects failed twice to reach the nish line in time, the distance covered is recorded. In the present study, we used the Yo-Yo intermittent recovery test, level 1, which consists of four running bouts at 10–13 km h 1 (0–160 m) and another seven runs at 13.5–14 km h 1 (160–440 m); this continues with stepwise 0.5 km h 1 speed increments after every eight running bouts (i.e., 760, 1080, 1400, 1720 m, etc.) until exhaustion. The test was performed on outdoor running lanes, marked by cones, with a width of 2 m and a length of 20 m. Another cone, placed 5 m behind the nish line, marked the running distance during the active recovery period. All subjects were familiarized with the test from at least one pre-test.

Sports2017,5, 12 4 of 8 2.4. Statistical Analysis For statistical processing of the data, we used descriptive statistics. Measurements were expressed using the arithmetic mean and the measure of variability was expressed using the standard deviation. Parametric procedures were chosen after the veri cation of normality of the data distribution using the Shapiro–Wilk test. To assess the signi cance of the independent variables (seasonal variability) on the dependent variables (A505DL, A505NL, IAT, LRS, Yo-Yo IRT1), a repeated measures analysis of variances (RM ANOVA) was used. To evaluate the sphericity, an assumption of RM ANOVA, a Mauchly's test was performed. To compare measurements among many variables, we used a Bonferroni post hoc test. We rejected the null hypothesis at thep 0.05 level. Effect size was assessed using the ”Eta square” coef cient (h 2), which explains the proportion of variance of the factor. Effect size was examined as follows:h 2= 0.20 is considered a small effect,h 2= 0.50 is considered a medium effect, andh 2 = 0.80 is considered a large effect [25]. Statistical analyses were carried out using IBM ® SPSS ® v21 (Statistical Package for Social Sciences, Inc., Chicago, IL, USA, 2012). 3. Results The results of carried out analyses are presented in Table. It was observed that the differences in some tests were statistically signi cant. In the agility 505 test, turning toward the dominant lower limb, players achieved a signi cant improvement from the start of pre-season (t1) to performance during the competitive period (t3) (3.6%), and at the end of the competitive period (t4) (3.2%). In the same test, turning towards the non-dominant lower limb, we found a signi cant difference between the rst time period (t1) and all other measurements (Table). Table 1.Comparison of physical performance parameters over the season. Variable Descriptive Statistic RM ANOVA Bonferroni's Post Hoc Test (p< 0.05) Mean SD 95% CI interval F p hp 2 Lower Upper Agility 505DL (s) t 1 2.81 0.09 2.77 2.86 6.7 0.0010.59 t 1vs. t 3, t 4 t 2 2.79 0.13 2.73 2.85 t 3 2.71 0.08 2.67 2.75 t 4 2.72 0.06

performance parameters over the season. Variable Descriptive Statistic RM ANOVA Bonferroni's Post Hoc Test (p< 0.05) Mean SD 95% CI interval F p hp 2 Lower Upper Agility 505DL (s) t 1 2.81 0.09 2.77 2.86 6.7 0.0010.59 t 1vs. t 3, t 4 t 2 2.79 0.13 2.73 2.85 t 3 2.71 0.08 2.67 2.75 t 4 2.72 0.06 2.69 2.75 Agility 505NL (s) t 1 2.83 0.09 2.79 2.88 13.13 0.0000.43 t 1vs. t 2, t 3, t 4t 2 vs. t 3 t 2 2.76 0.09 2.71 2.8 t 3 2.7 0.07 2.67 2.74 t 4 2.71 0.09 2.67 2.76 Ilinois agility test (s) t 1 18.82 0.56 18.55 19.09 43.55 0.0000.71 t 1vs. t 2, t 3, t 4t 2 vs. t 3, t 4 t 2 18.52 0.63 18.12 18.82 t 3 17.94 0.51 17.69 18.18 t 4 17.89 0.66 17.57 18.21 Linear running speed over 30 m (s) t 1 5.15 0.21 5.05 5.26 15.47 0.0000.46 t 1vs. t 3, t 4t 2vs. t 3, t 4 t 2 5.07 0.14 5 5.13 t 3 4.99 0.15 4.92 5.07 t 4 4.98 0.17 4.9 5.06 Yo-Yo IRT1 (m) t 1625.26 170.34 543.16 707.36 48.46 0.0000.73 t 1vs. t 2, t 3, t 4t 2 vs. t 3 t 2858.95 210.55 757.47 960.43 t 3953.68 229.88 842.88 1064.49 t 4924.21 215.78 820.21 1028.21 Notes: t1—beginning of the pre-season training period; t2—start of the competitive period; t3—middle of the competitive period; t4—end of the competitive period; SD—standard deviation; CI—con dence interval. For this test, we also observed signi cant improvement in the performance from the end of the pre-season period (t2) to measurements during the competitive period (t3) (2.2%). Similar results were found using the Illinois agility test where performance from the pre-season period (t1= 18.82 0.56 s)

Sports2017,5, 12 5 of 8 was signi cantly lower compared to the performance from other time periods (t2, t3, t4). Post hoc analysis also revealed a signi cantly lower time at the end of the pre-season training period (t2= 18.52 0.63 s) compared to that during the competitive period (t3= 17.94 0.51 s), or at the end of the competitive period (t4= 17.89 0.66 s). Pre-season performance (t1) was not signi cantly different for the linear running speed at 30 m distance (p> 0.05) compared to the start of the competitive period (t2). However, for the competitive periods (t3) and (t4), there was a signi cant improvement compared to the start (t1) and end of the pre-season period (t2). The pre-season period had the highest effect on players' endurance (Yo-Yo IRT1), where players managed to increase the ef ciency by 27.2% (p< 0.01). At time period (t3), there was further improvement of this parameter by 9.9% (Table). 4. Discussion The aim of this study was to investigate changes in performance of linear running speed, single and multiple direction changes, and endurance during the soccer season in young soccer players from the U13 category. Changes in performance of linear running speed over time have been considered by several authors. Signi cant effects (p< 0.001) of the pre-season period on maximum speed during a test run of 50 m with adult soccer players was found by researchers [26]. Authors note a more than 5.13% improvement in maximum running speed. In contrast, the effect of a pre-season training period in our study showed no signi cant difference in linear running speed at the start (t1= 5.15 0.21 s) and end of the pre-season training period (t2= 5.07 0.14 s). This may be explained by the fact that this component was not particularly stimulated during training sessions. Game aspects, movement games and quick change of direction speed in a small space were emphasized during training. Caldwell and Peters [20] found signi cantly slower measures in semi-professional players for 15 m sprints in the middle of the season (2.44 0.10 s) than at the beginning

by the fact that this component was not particularly stimulated during training sessions. Game aspects, movement games and quick change of direction speed in a small space were emphasized during training. Caldwell and Peters [20] found signi cantly slower measures in semi-professional players for 15 m sprints in the middle of the season (2.44 0.10 s) than at the beginning of the competitive season (2.49 0.10 s), which is in contrast to our results where players signi cantly improved compared to the start of competitive period (t2= 5.07 0.14 s, t3= 4.99 0.15 s). These differences may indicate a different adaptation to the training load during the training period between adults and young soccer players. A signi cant difference was also shown between the time period t1(5.07 0.14 s), and t4(4.98 0.17 s), which may be due to the higher number of adaptation initiatives (more matches) during the competitive period, or morphological changes in the player´s body (increased body height, greater percentage of lean body mass), which could positively affect a player´s motor skills (extended walking pace, increased production of lower extremity muscle strength, etc.). Ostojic [27] found signi cant improvement (12.6 3.3 %) in the linear running speed of 50 m for major league players. Signi cant improvement (11.7 2.68 %) in linear running speed for 35 m during the competitive period was observed in Greek adult major league players [17]. Aziz et al. [16] reported signi cantly better running results for 20 m in Singaporean adults at the end of the competitive period (2.95 0.09 s) compared to the start of the competitive period (3.01 0.10 s); these authors suggest that the training programme and load during the season are responsible. Moreover, it was con rmed that during the competitive period, players had reduced levels of body fat, which affects speed and VO2max. Changes in running speed in the middle of the season were also observed by Wislof et al. [15], who found that during the season, the level of sprinting ability of adult players was 1.82 0.3 s for 10 m, 3.0 0.3 s for 20 m,

This study investigates performance changes in young elite soccer players throughout the season.