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. 2021 Jul 28;39(3):579–598. doi: 10.5114/biolsport.2022.106388

Training elite youth soccer players: area per player in small-sided games to replicate the match demands

Andrea Riboli 1,, Sigrid BH Olthof 2, Fabio Esposito 1, Giuseppe Coratella 1
PMCID: PMC9331353  PMID: 35959338

Abstract

The aim was to determine the area per player (ApP, m2 × player) in small- or large-sided games to replicate the official match demands in elite youth soccer players. Two hundred and twenty-eight players (U15 = 36, U16 = 48, U17 = 49, U18 = 37 and U19 = 58) were monitored during both training (12 183 individual samples) and matches (683 individual samples) across five seasons. Relative (m × min-1) total (TD), high-speed running (HSR), very high-speed running (VHSR), sprint and acceleration/deceleration (Acc/Dec) distance were collected. Between-category and between-position comparisons were performed. Area per player was moderately correlated (P < 0.05) with TD (r = 0.401), large (r = 0.621) with HSR, and very largely with VHSR (r = 0.744) and sprint (r = 0.723). An inverse small (r = -0.232; P = 0.039) correlation for Acc/Dec was found. The area per player to replicate the match demands was 158 ± 18, 182 ± 32, 197 ± 37, 212 ± 42 and 156 ± 25 m2 × player for TD, HSR, VHSR, sprint and Acc/Dec, respectively. Moderate to very large (ES: 0.79 to 4.66) differences in the area per player across metrics were observed, with sprint > VHSR > HSR > TD = Acc/Dec. Trivial to very large (ES: 0.01 to 2.67) between-category differences in area per player across the same metric were found, with U15 and U16 requiring a larger area per player than other age categories. These findings may help practitioners to recreate the desired external load outcomes with regards to positional match-play demands using specific area per player in small- or large-sided games in youth elite soccer players from U15 to U19.

Keywords: Team sports, Football, Performance, Match analysis, Locomotor activities

INTRODUCTION

In soccer, coaches and sport scientists need to control the training load applied to each player to maximize individual adaptations and improve performance [1, 2]. For this purpose, player-tracking technologies such as global positioning systems are typically utilized to quantify total distance (TD), high-speed running (HSR), very-high speed running (VHSR), sprint and acceleration/deceleration (Acc/Dec) distance during training and matches. This allows the training load to be monitored when using running-based exercises and/or soccer-specific drills such as small- or large-sided games (SSGs) [3].

SSGs are used to improve physical fitness while simultaneously recreating technical, tactical and physical soccer-specific contextual factors [3, 4]. The SSG’s intensity is a crucial feature for practitioners faced with both adult [4] and youth [5] performance development, and practitioners aim to replicate the match demands for player preparation. Comparison of the match vs training loads may help to optimize performance goals [2, 3, 6], conditioning the locomotor activities typically required during the 90-min match demands [2, 3], and/or the most demanding passages of match play [79]. In this regard, high-speed running and sprinting play a key role in soccer-specific performance development and injury prevention [10, 11]. Nevertheless, during the training routine, lower exposure to high-speed running or sprinting activities than required during official matches was found in major European soccer leagues such as the English Premier League [12], French Ligue 1 [6], Reserve Spanish La Liga [2], Dutch Eredivisie [13] and Portuguese 1st division [14]. Therefore, an accurate training prescription across different external load exposure (e.g., high-speed running and/or sprinting) may help coaches and sport scientists to optimize top-class performance.

In practice, the manipulation of SSGs may help practitioners to modulate the locomotor activities such as HSR, sprint and/or Acc/Dec distance [3]. Increments in pitch size or reduction in the number of players were found to increase TD, HSR, VHSR and sprint [6]; conversely, when the pitch size is reduced or the number of players is increased, players get more ball touches and the prevalence of the locomotor activities is generally characterized by Acc/Dec [3, 6]. During training interventions using SSGs, the area per player (ApP, expressed as m2 × player) was suggested to combine the pitch size and number of players [3, 4, 15]. It is determined as the total pitch area divided by the number of players on the pitch [3, 16]. ApP enables practitioners and researchers to study the effect of the individual player area regardless of team size [3, 15]. It was recently reported that ApP during SSGs was very strongly correlated with the relative (m · min-1) TD, HSR and sprint covered, while no correlation for Acc/Dec was found [3]. This highlighted that a larger ApP may increase locomotor demands in elite soccer players [3]. An ApP above 300 m2 × player was suggested to induce internal/external load responses near to the individual maximal capacities [17], to replicate official match metabolic and cardiovascular responses [16] and to simulate match tactical behaviours [15]. Thereafter, a minimal ApP of ~311 m2 × player to ~316 m2 × player was indicated to replicate the high-speed and/or sprint distance relative to official match demands in French Ligue 1 [6] and Italian Serie A soccer players [3].

The SSGs were also pointed out as a useful tool to improve aerobic fitness and technical skills in elite youth soccer players [5]. Similarly to adults, the playing rules, pitch size and number of players seem to affect the external load demands [4]. However, a minimal ApP to replicate the official match demands in elite youth soccer players was not previously investigated. For training prescription purposes, understanding whether or not differences in age may influence the training/match locomotor demands relationship when varying the ApP is hence needed. Therefore, the present study aimed to describe the minimal ApP that could be used to replicate the relative (m × min-1) official matches TD, HSR, VHSR, sprint and Acc/Dec using SSGs in youth elite soccer players from U15 to U19. Additionally, the optimal ApP was calculated for each playing position.

MATERIALS AND METHODS

Participants

A total sample of 228 elite youth soccer players competing in one of the top-five European youth championship were included in the present study and classified according to their age category as U15 (n = 36), U16 (n = 48), U17 (n = 49), U18 (n = 37) and U19 (n = 58) groups. All participants were classified according to their position: forwards (n = 6, 11, 12, 8 and 13 for U15 to U19, respectively), wide forwards, (n = 4, 3, 5, 3 and 5 for U15 to U19), central midfielders (n = 10, 12, 14, 11 and 14 for U15 to U19), wide midfielders (n = 4, 5, 4, 4 and 11 for U15 to U19), central defenders (n = 7, 11, 8, 6 and 13 for U15 to U19) and wide defenders (n = 5, 6, 6, 5 and 2 for U15 to U19). The goalkeepers were excluded from the data collection. The club’s medical staff certified the health status of each player. An injured player was excluded from data collection for at least one month after their return to full training. The procedures were fully explained to the participants, and to their parents or legal guardian and the club staff. The participants gave their written consent. The local Ethics Committee (protocol #102/14) approved the study that was performed in accordance with the principles of the Declaration of Helsinki (1975) for studies involving human subjects.

Experimental Design

The present investigation was carried out during the competition period across five seasons (2015–2016 to 2019–2020). The participants undertook their traditional weekly training routine. All sessions were performed on grass or artificial-surface pitches preserved by qualified operators and were conducted at the same time of day to limit the effects of circadian variation. A specialized and highly qualified physician staff recommended and monitored the dietary regime of each player before and after every training session.

A total of 12 183 (504, 818, 4338, 723 and 5800 for U15 to U19, respectively) individual observations with a median of 98 (31, 34, 194, 44 and 186 for U15 to U19, respectively) different formats of SSGs were undertaken. For U15, SSGs ranged from 3 vs 3 to 10 vs 10 with an ApP from 40 m2 to 343 m2; for U16, SSGs ranged from 2 vs 2 to 10 vs 10 with an ApP from 40 m2 to 343 m2; for U17, SSGs ranged from 3 vs 3 to 10 vs 10 with an ApP from 50 m2 to 286 m2; for U18, SSGs ranged from 2 vs 2 to 10 vs 10 with an ApP from 54 m2 to 211 m2; for U19, SSGs ranged from 3 vs 3 to 10 vs 10 with an ApP from 42 m2 to 343 m2. Detailed descriptions of SSGs’ characteristics are reported in Supplementary Tables 1, 2, 3, 4 and 5 for U15, U16, U17, U18 and U19, respectively. ApP was calculated excluding the goalkeepers in SSGs. Both small- and large-sided games were abbreviated as SSGs and specified by ApP.

Supplementary table 1.

Pitch size and locomotor demands during small-sided games in U15 soccer players.

N° Players m m2 m2 · player TD HSR VHSR SPR Acc/Dec
10 vs 10 45 × 60 2700 135 101.4 (8.9) 10.2 (3.2) 1.7 (1.2) 0.3 (0.5) 4.2 (1.0)
40 × 60 2400 120 98.9 (7.0) 8.0 (1.4) 1.5 (1.1) 0.2 (0.2) 4.6 (0.5)
45 × 55 2475 124 98.6 (8.3) 8.3 (3.1) 1.5 (1.2) 0.3 (0.3) 5.0 (1.2)
50 × 60 3000 150 120.1 (9.6) 14.9 (4.5) 2.8 (1.8) 0.5 (0.7) 4.4 (0.8)
50 × 68 3400 170 101.0 (9.9) 10.0 (2.9) 1.9 (1.8) 1.0 (2.0) 4.6 (1.3)
65 × 60 3900 195 102.9 (11.0) 9.5 (4.1) 2.0 (1.5) 0.3 (0.4) 4.5 (0.8)
66 × 104 6864 343 119.6 (9.0) 19.3 (3.5) 5.2 (2.4) 1.3 (1.7) 4.1 (1.1)
50 × 80 4000 200 112.4 (10.0) 16.9 (4.0) 4.1 (2.2) 1.3 (1.2) 4.1 (1.0)
60 × 104 6240 312 107.3 (8.4) 15.8 (3.6) 4.5 (2.4) 1.1 (1.8) 3.7 (0.6)
60 × 100 6000 300 115.8 (4.5) 17.5 (1.9) 4.6 (1.7) 2.0 (0.9) 3.8 (0.8)

9 vs 9 35 × 65 2275 126 113.2 (8.9) 13.8 (3.4) 2.1 (1.3) 0.4 (0.5) 4.9 (1.1)
66 × 52 3432 191 110.4 (10.7) 13.8 (3.3) 3.1 (1.3) 1.2 (1.1) 4.7 (0.9)
45 × 60 2700 150 100.1 (6.8) 8.1 (4.1) 1.1 (1.3) 0.2 (0.7) 2.9 (0.6)
50 × 60 3000 167 97.0 (7.1) 8.9 (4.1) 1.7 (1.4) 0.1 (0.3) 3.3 (0.9)
65 × 50 3250 181 105.5 (8.2) 11.4 (3.7) 2.1 (1.4) 0.3 (0.4) 4.2 (0.9)

8 vs 8 40 × 50 2000 125 103.4 (9.8) 12.5 (2.7) 2.5 (1.1) 0.2 (0.3) 3.8 (0.7)

7 vs 7 40 × 50 2000 143 105.9 (8.9) 12.0 (4.7) 1.9 (1.7) 0.2 (0.5) 4.2 (1.0)
40 × 52 2080 149 104.6 (8.9) 10.4 (3.0) 1.9 (1.4) 0.3 (0.6) 4.9 (0.9)
65 × 50 3250 232 120.6 (17.0) 11.4 (6.1) 2.1 (2.1) 0.3 (1.0) 4.2 (1.9)
30 × 50 1500 107 88.8 (10.5) 4.9 (3.0) 0.4 (0.7) 0.0 (0.0) 5.1 (1.6)

6 vs 6 30 × 45 1350 113 81.3 (7.5) 4.7 (2.2) 1.2 (1.1) 0.1 (0.3) 3.1 (0.9)
22 × 22 484 40 80.7 (8.8) 2.7 (1.7) 0.2 (0.3) 0.0 (0.0) 4.5 (1.1)

5 vs 5 27 × 30 810 81 93.1 (9.9) 7.6 (3.8) 0.5 (1.3) 0.0 (0.1) 4.5 (1.1)

4 vs 4 22 × 30 660 83 93.6 (8.3) 7.4 (4.5) 0.5 (1.0) 0.0 (0.0) 5.0 (1.6)
30 × 52 1560 195 108.0 (8.8) 15.9 (4.6) 3.8 (2.1) 0.6 (0.8) 5.2 (0.8)
50 × 35 1750 219 93.6 (16.2) 8.1 (2.2) 1.2 (1.1) 0.1 (0.3) 4.7 (0.9)

3 vs 3 20 × 30 600 100 97.3 (5.9) 7.4 (3.1) 0.7 (0.8) 0.0 (0.0) 6.0 (1.6)
25 × 30 750 125 96.4 (9.0) 7.6 (3.3) 0.6 (0.7) 0.0 (0.0) 6.3 (1.5)
18 × 22 396 66 83.3 (10.1) 6.4 (3.9) 1.0 (1.4) 0.2 (0.2) 5.0 (1.9)

The small-sided games are split for the number of players and pitch size (width × length). The total pitch area (m2) and area per player (m2·player) have been calculated. Average locomotor demands are reported for total distance (TD), high-speed running (HSR), very high-speed running (VHSR), sprint (SPR) and acceleration/Deceleration (Acc/Dec). Data are reported as mean (SD).

Supplementary table 2.

Pith size and locomotor demands during small-sided games in U16 soccer players.

N° Players m m 2 m2 × player TD HSR VHSR SPR Acc/Dec

10 vs 10 66 × 104 6864 343.2 115.6 (12.8) 16.7 (5.4) 4.8 (2.1) 1.8 (1.7) 4.5 (1.1)
66 × 70 4620 231 103.7 (11.4) 12.0 (4.0) 3.0 (2.1) 0.7 (1.2) 4.1 (1.1)
65 × 70 4550 227.5 90.2 (9.0) 8.0 (2.9) 2.4 (1.4) 0.6 (0.8) 4.9 (0.6)
52x66 3432 171.6 101.2 (10.9) 10.7 (3.3) 2.5 (1.6) 0.4 (0.5) 4.2 (1.1)
40 × 60 2400 120 83.9 (11.5) 6.6 (3.5) 1.3 (1.7) 0.2 (0.5) 3.8 (1.3)
45 × 52 2340 117 87.4 (8.2) 8.3 (3.5) 2.0 (1.4) 0.1 (0.1) 3.9 (1.1)
40 × 52 2080 104 83.0 (16.4) 6.8 (4.1) 1.0 (0.7) 0.1 (0.2) 3.5 (1.7)
40 × 50 2000 100 92.0 (12.3) 7.5 (3.6) 1.3 (1.1) 0.1 (0.1) 4.6 (1.4)

10 vs 10 (+1f) 60x48 2880 137.1 79.8 (13.2) 6.1 (3.8) 1.1 (0.9) 0.1 (0.2) 3.4 (2.0)

9 vs 9 52 × 40 2080 115.5 92.4 (12.3) 9.2 (4.3) 1.7 (1.0) 0.2 (0.6) 4.5 (1.2)
52 × 60 2400 133.3 112.7 (12.9) 15.4 (5.4) 4.4 (2.4) 1.0 (0.9) 4.7 (1.1)
60 × 70 4200 233.3 124.1 (13.8) 19.3 (5.5) 5.7 (3.2) 2.2 (3.6) 4.3 (1.1)
66 × 70 4620 256.7 113.4 (11.6) 14.8 (4.0) 4.2 (1.7) 1.0 (0.8) 4.3 (0.8)
9 vs 8 24 × 43 1032 60.7 75.2 (11.6) 3.1 (2.2) 0.3 (0.4) 0.0 (0.1) 4.1 (1.1)

8 vs 8 40 × 50 2000 125 96.4 (10.6) 9.7 (3.8) 1.9 (1.4) 0.4 (0.4) 4.6 (1.2)
52 × 66 3432 214.5 109.4 (14.4) 14.4 (5.3) 3.7 (2.0) 0.8 (0.9) 4.5 (1.0)

8 vs 8 (+1f) 45x40 1800 105.8 90.6 (9.4) 7.6 (4.7) 0.6 (0.7) 0.0 (0.0) 3.8 (1.2)

7 vs 7 52x40 2080 148.6 100.2 (8.3) 10.0 (2.7) 2.3 (1.3) 0.3 (0.3) 5.1 (0.9)
50x40 2000 142.9 93.8 (9.3) 7.6 (1.7) 1.4 (0.7) 0.2 (0.2) 5.0 (0.9)

5 vs 5 25x18 450 45 85.1 (14.4) 5.5 (2.8) 0.8 (0.6) 0.2 (0.3) 5.9 (2.7)
35x30 1050 105 80.5 (7.1) 5.0 (1.6) 0.2 (0.1) 0.0 (0.0) 6.2 (1.2)
36x30 1080 108 90.1 (16.2) 11.5 (5.3) 2.1 (1.7) 0.4 (0.5) 3.4 (1.9)
30x45 1350 135 96.7 (16.6) 10.7 (4.0) 1.4 (1.2) 0.1 (0.4) 4.7 (1.3)

4 vs 3 25x30 750 107.1 84.1 (7.6) 6.6 (1.5) 0.3 (0.4) 0.0 (0.0) 4.9 (0.7)

4 vs 4 (+2f) 20x25 500 50 63.7 (18.5) 2.2 (1.6) 0.0 (0.0) 0.0 (0.0) 5.7 (2.1)

4 vs 4 (+3f)
4 vs 4
35x30 1050 95.5 63.7 (18.5) 2.2 (1.6) 0.0 (0.0) 0.0 (0.0) 5.7 (2.1)
30x40 1200 150 95.4 (7.2) 11.3 (4.3) 2.2 (0.9) 0.4 (0.9) 5.6 (0.7)
25x35 875 109.4 95.9 (10.9) 8.3 (2.8) 0.9 (0.8) 0.1 (0.2) 5.4 (1.2)

3 vs 3 24x32 768 128 99.3 (6.7) 9.7 (3.1) 1.0 (3.1) 0.1 (0.7) 6.1 (0.2)

3 vs 3 (+1f) 25x30 750 125 77.7 (6.3) 5.1 (2.5) 0.9 (0.3) 0.0 (0.0) 4.9 (1.0)

2 vs 2 10x16 160 40 54.4 (8.2) 4.2 (1.5) 2.2 (1.2) 0.9 (1.1) 3.1 (1.0)
32x40 1280 320 50.2 (12.5) 9.4 (3.7) 3.8 (2.6) 0.8 (0.9) 3.8 (1.5)

The small-sided games are split for the number of players and pitch size (width × length). The total pitch area (m2) and area per player (m2 · player) have been calculated. The number of floaters, when required, is reported between bracket (i.e., one floater: +1f, two floaters: +2f, etc.). Average locomotor demands are reported for total distance (TD), high-speed running (HSR), very high-speed running (VHSR), sprint (SPR) and acceleration/Deceleration (Acc/Dec). Data are reported as mean (SD).

Supplementary table 3.

Pith size and locomotor demands during small-sided games in U17 soccer players.

N° Players m m2 m2⋅player TD HSR VHSR SPR Acc/Dec
10 vs 10 45 × 40 1800 90 97.1 (17.8) 6.4 (3.5) 0.4 (0.5) 0.2 (0.5) 4.8 (1.4)
40 × 40 1600 160 106.2 (16.5) 10.9 (5.7) 2.0 (1.6) 0.3 (0.5) 5.0 (1.3)
60 × 52 3120 156 87.6 (15.3) 9.5 (4.3) 2.1 (1.6) 0.8 (1.1) 4.0 (1.3)
66 × 52 3432 172 84.1 (24.7) 8.3 (5.3) 2.3 (2.0) 0.6 (0.8) 3.2 (2.1)
66 × 60 3960 198 93.2 (10.3) 10.3 (3.9) 2.5 (2.4) 0.5 (0.9) 3.7 (0.8)
65 × 62 4030 201 96.0 (13.0) 10.5 (4.2) 2.8 (2.6) 0.7 (0.6) 3.7 (1.0)
70 × 66 4620 231 102.2 (8.2) 10.9 (2.8) 3.3 (1.2) 1.5 (1.2) 3.7 (0.7)
75 × 66 4950 247 104.6 (10.l) 13.4 (3.8) 3.8 (1.4) 1.5 (1.1) 3.8 (0.9)
105 × 68 7140 357 111.5 (11.1) 13.8 (3.3) 4.0 (1.8) 1.2 (0.9) 3.6 (0.9)
66 × 50 3300 165 84.5 (18.8) 8.4 (4.5) 2.1 (1.6) 0.6 (0.8) 3.1 (1.9)
66 × 64 4224 211.2 101.9 (14.2) 13.0 (5.6) 4.3(2.3) 1.4 (1.5) 4.8 (0.7)
66 × 40 2640 132 78.8 (23.2) 7.0 (4.8) 1.8 (1.6) 0.6 (0.7) 2.6 (2.5)
104 × 66 6864 343 114.9 (11.7) 16.5 (6.0) 4.5 (1.8) 2.2 (1.7) 4.1 (0.7)

10 vs 10 (+1f) 45 × 35 1575 75 90.4 (14.5) 7.8 (6.1) 1.6 (1.3) 0.3 (0.6) 4.4 (1.3)
54 × 36 1944 92.6 85.2 (8.5) 8.0 (3.9) 1.4 (0.8) 0.3 (0.4) 4.2 (1.0)
66 × 47 3102 148 104.9(12.9) 16.0 (4.2) 3.6 (2.2) 1.0 (1.3) 3.9 (0.5)
60 × 50 3000 143 99.2 (9.4) 10.6 (3.7) 2.7 (1.0) 0.8 (0.9) 3.5 (1.0)
66 × 50 3300 157 55.5 (12.4) 3.4 (2.4) 0.9 (1.0) 0.2 (0.5) 0.6 (0.9)
66 × 51 3366 160 106.3 (15.6) 13.2 (5.1) 3.4 (2.1) 1.0 (1.0) 4.2 (1.1)
66 × 52 3432 163 90.0 (10.1) 8.1 (3.9) 2.1 (1.6) 0.5 (0.7) 3.3 (1.0)
66 × 55 3630 173 73.9 (22.9) 5.7 (5.2) 1.3 (1.8) 0.4 (0.8) 1.9 (1.9)
66 × 61 4026 192 101.8 (17.6) 13.1 (7.7) 3.3 (2.7) 0.8 (1.2) 4.5 (1.1)
72 × 66 4752 226 112.4 (14.0) 15.1 (4.5) 4.9 (2.9) 2.3 (1.6) 4.8 (1.3)
78 × 66 5148 245 84.8 (23.7) 10.6 (6.2) 3.1 (1.9) 1.5 (1.8) 1.9 (1.8)

10 vs 10 (+2f) 66 × 61 4026 183 65.3 (21.0) 4.6 (2.3) 1.1 (1.4) 0.5 (0.9) 1.0 (1.3)
47 × 40 1880 85.5 111.5 (16.9) 11.0 (6.6) 2.2 (2.4) 0.1 (0.3) 3.7 (1.1)
66 × 52 3432 156 80.1 (20.9) 6.5 (4.5) 1.5 (2.1) 0.3 (0.9) 2.3 (2.2)
66 × 51 3366 153 93.3 (15.7) 8.8 (5.8) 2.6 (2.1) 1.2 (1.8) 3.4 (1.3)
66 × 50 3300 150 64.6 (13.6) 4.8(2.8) 1.1(0.9) 0.4(0.6) 0.8(0.9)

9 vs 9 66 × 47 3102 172 100.7 (11,9) 10.9 (5.1) 2.5 (1.5) 0.8 (0.8) 4.0 (1.2)
66 x54 3564 198 96.3 (11.1) 10.8 (4.8) 2.8 (1.8) 0.7 (0.9) 4.7 (1.1)
78 × 66 5148 286 106.0 (13.4) 15.5 (5.5) 4.9 (3.5) 1.3 (1.5) 4.0 (1.0)
42 × 28 1176 65 85.3 (13.0) 5.9 (3.9) 0.6 (0.8) 0 (0) 5.0 (1.5)
65 × 45 2925 162 97.5 (11.4) 10.8 (5.7) 3.3 (2.9) 1.1 (1.4) 4.1 (1.1)
54 × 40 2160 120 87.4 (10.3) 8.6 (3.0) 2.6 (1.6) 0.8 (1.0) 4.1 (0.8)
52 × 25 1300 72 83.1 (13.9) 4.6 (3.1) 1.1 (1.1) 0.3 (0.5) 4.7 (2.2)
52 × 30 1560 87 83.7 (9.7) 6.5 (2.4) 1.2 (0.9) 0.1 (0.2) 4.1 (0.8)
40 × 40 1600 89 96.8 (13.6) 8.0 (4.9) 1.2 (1.6) 0.2 (0.6) 4.5 (1.0)
52 × 40 2080 116 87.7 (10.6) 8.4 (3.7) 1.7 (1.6) 0.4 (0.8) 4.5 (1.2)
53 × 51 2703 150 113.3 (11.6) 14.7 (4.4) 3.6 (2.0) 0.4 (0.7) 4.0 (1.1)
65 × 50 3250 181 60.6 (16.7) 3.7 (2.2) 0.6 (0.7) 0.3 (0.5) 0.9 (1.5)
66 × 48 3168 176 94.3 (10.4) 11.0 (4.7) 4.0 (2.8) 1.3 (1.4) 4.2 (0.9)
65 × 51 3315 184 104.6 (13.8) 13.5 (5.6) 4.3 (1.9) 1.4 (1.3) 4.1 (0.7)
66 × 51 3366 187 103.5 (15.9) 13.9 (5.5) 3.9 (2.1) 1.0 (1.2) 4.5 (1.1)
65 × 52 3380 188 64.2 (16.8) 4.3 (2.8) 1.1 (1.1) 0.9 (2.3) 0.7 (1.0)
66 × 52 3432 191 101.4 (12.5) 12.7 (4.9) 3.7 (2.4) 1.1 (1.5) 4.5 (1.1)
66 × 61 4026 223 101.0 (12.3) 12.7 (6.4) 4.0 (6.4) 1.4 (1.5) 4.0 (0.9)
70 × 66 4620 257 115.1 (11.8) 17.0 (6.8) 4.8 (2.2) 1.4 (1.1) 4.3 (0.9)

9 vs 9 (+1f) 40 × 40 1600 84 104.6 (14.6) 12.5 (5.0) 2.7 (3.4) 0.3 (0.6) 5.8 (1.8)
41 × 40 1640 86 104.3 (16.2) 9.8 (4.5) 0.4 (0.8) 0 (0) 3.6 (1.4)
66 × 52 3432 181 67.3 (16.9) 4.0 (3.1) 1.0 (1.2) 0.2 (0.4) 1.3 (1.9)
66 × 52 3432 181 95.5 (14.7) 9.8 (3.3) 2.0 (1.3) 0.4 (0.5) 3.6 (1.3)

8 vs 8 32 × 28 896 56 96.6 (12.9) 7.2 (4.2) 0.7 (1.0) 0 (0) 6.0 (1.6)
40 × 35 1400 88 103.5 (14.0) 11.1 (4.0) 1.9 (1.2) 0.2 (0.3) 5.3 (1.1)
40 × 40 1600 100 105.9 (9.9) 9.9 (4.0) 1.1 (1.6) 0.2 (0.5) 4.5 (1.1)
45 × 40 1800 112.5 95.9 (15.1) 9.1 (4.6) 1.5 (1.3) 0.4 (0.9) 5.0 (1.2)
52 × 35 1820 114 88.5 (9.7) 7.8 (3.6) 2.1 (1.2) 0.5 (0.5) 4.3 (0.9)
52 × 40 2080 130 96.7 (10.5) 11.3 (3.7) 2.5 (1.5) 0.3 (0.4) 5.2 (1.0)
53 × 40 2120 133 97.5 (12.2) 12.4 (4.6) 3.2 (1.7) 0.6 (0.6) 4.7 (1.0)
50 × 40 2000 125 110.2 (13.1) 14.3 (5.4) 1.8 (1.0) 0.2 (0.5) 5.7 (1.0)
53 × 45 2385 149 90.4 (8.3) 9.2 (1.9) 2.4 (1.0) 0.5 (0.7) 4.2 (0.7)
55 × 52 2860 179 69.9 (17.0) 4.6 (2.0) 1.0 (1.1) 0.6 (1.0) 1.3 (1.4)
70 × 46 3220 201 109.5 (10.6) 15.7 (4.8) 4.5 (1.5) 1.0 (0.9) 4.7 (0.7)
66 × 52 3432 215 86.7 (8.9) 9.6 (4.8) 2.8 (1.9) 0.9 (1.5) 3.9 (1.1)
66 × 50 3300 206 101.8 (11.0) 12.3 (4.3) 3.2 (1.8) 0.9 (1.1) 4.0 (0.6)

8 vs 8 (+1f) 40 × 36 1440 85 97.5 (13.8) 8.0 (4.3) 1.3 (1.5) 0 (0.1) 4.3 (1.3)
54 × 36 1944 114 95.8 (10.3) 10.5 (4.3) 2.7 (1.4) 0.4 (0.5) 4.9 (1.3)
55 × 45 2475 146 95.4 (12.5) 11.5 (4.8) 2.9 (2.2) 0.5 (0.6) 4.8 (1.2)
52 × 28 1456 86 81.1 (12.4) 7.5 (3.8) 1.8 (1.3) 0.2 (0.5) 4.2 (1.4)
50 × 25 1250 74 92.6 (9.9) 7.8 (1.9) 1.3 (0.9) 0.1 (0.2) 4.8 (0.8)
52 × 25 1300 76 62.0 (18.2) 4.3 (2.9) 0.9 (0.9) 0.2 (0.4) 1.4 (1.9)
40 × 40 1600 94 98.6 (9.1) 8.3 (4.0) 1.2 (1.5) 0.3 (0.7) 4.0 (1.2)
41 × 40 1640 96 100.7 (11.7) 8.3 (3.5) 0.9 (1.1) 0.3 (0.7) 4.0 (0.6)
47 × 40 1880 111 111.9 (12.6) 11.2 (2.9) 1.0 (0.9) 0 (0) 4.9 (0.7)
53 × 47 2491 147 94.6 (8.1) 11.0 (3.3) 2.8 (1.8) 0.8 (0.7) 4.0 (1.0)
66 × 45 2970 175 100.0 (11.7) 11.5 (3.2) 3.6 (2.1) 1.4 (1.5) 4.0 (1.0)
65 × 51 3315 195 106.9 (21.8) 15.5 (6.4) 6.2 (4.0) 1.4 (1.2) 3.9 (1.7)
52 × 40 2080 122 92.8 (12.8) 9.9 (4.4) 2.1 (1.6) 0.5 (1.2) 4.1 (1.1)

7 vs 7 53 × 40 2120 151 95.0 (9.9) 10.7 (3.2) 2.4 (1.1) 0.4 (0.4) 4.7 (0.8)
40 × 40 1600 114 103.2 (15.7) 11.4 (5.1) 1.3 (1.2) 0.3 (0.7) 4.8 (1.3)

6 vs 6 40 × 36 1440 103 103.0 (13.1) 10.4 (4.4) 1.2 (1.1) 0.2 (0.7) 5.1 (1.1)
47 × 40 1880 134 118.0 (17.4) 17.0 (8.4) 2.5 (2.8) 0.6 (1.4) 5.2 (1.1)
52 × 25 1300 93 103.2 (11.2) 11.0 (3.7) 1.7 (1.3) 0.6 (0.9) 5.8 (1.3)
52 × 22 1144 82 86.9 (12.6) 8.7 (4.2) 1.7 (1.4) 0.2 (0.4) 5.6 (1.4)
40 × 35 1400 100 100.6 (13.8) 7.4 (5.0) 0.4 (0.6) 0 (0) 4.9 (1.5)
50 × 30 1500 107 95.4 (5.9) 10.0 (3.0) 2.7 (2.0) 0.7 (0.9) 4.7 (0.9)
52 × 40 2080 149 94.6 (9.3) 11.2 (3.9) 2.6 (1.6) 0.4 (0.6) 4.9 (1.0)
52 × 47 2444 175 94.3 (12.0) 11.8 (4.1) 3.1 (2.1) 0.7 (1.3) 4.2 (0.9)

6 vs 6 (+1f) 42 × 30 1260 84 89.2 (9.3) 6.9 (2.9) 1.0 (0.9) 0.1 (0.3) 4.8 (1.3)
40 × 36 1440 111 94.5 (11.8) 7.9 (3.6) 0.9 (0.9) 0.1 (0.3) 4.5 (1.4)

5 vs 5 40 × 36 1440 144 112.3(14.6) 11.7 (5.5) 1.9 (1.9) 0.2 (0.4) 5.9 (1.3)
41 × 27 1107 111 100.1(10.1) 12.9 (4.8) 2.6 (1.8) 0.4 (0.7) 6.0 (1.2)
40 × 30 1200 120 113.4(13.2) 15.1 (5.3) 3.5 (1.6) 0.4 (0.6) 6.0 (1.0)
40 × 30 1200 120 106.1(5.2) 14.2 (3.2) 2.3 (1.7) 0.6 (0.8) 5.5 (1.3)
40 × 20 800 80 95.2 (7.9) 8.9 (1.4) 2.3 (1.1) 0.3 (0.4) 4.7 (1.0)
42 × 16 672 67 102.9(9.2) 12.9 (3.4) 2.7 (2.1) 0.4 (0.6) 6.0 (1.0)
40 × 25 1000 100 103.8(10.6) 13.5 (4.6) 3.5 (2.9) 1.0 (1.8) 5.7 (1.1)
35 × 30 1050 105 108.7(16.7) 14.3 (6.3) 1.4 (1.1) 0.1 (0.2) 6.9 (1.5)
40 × 25 1000 100 70.1 (21.2) 7.1 (5.2) 1.4 (1.5) 0.1 (0.2) 2.5 (2.5)
40 × 33 1320 132 123.9(9.2) 21.5 (4.9) 5.6 (1.8) 2.4 (1.9) 7.5 (1.8)
40 × 35 1400 140 105.8(13.6) 13.1 (6.2) 1.8 (2.1) 0.2 (0.4) 6.0 (1.5)
40 × 35 1400 140 123.4(15.6) 16.9 (5.7) 2.5 (1.4) 0.2 (0.4) 7.0 (1.0)
40 × 38 1520 152 87.9 (7.7) 8.9 (3.9) 1.6 (0.7) 0 (0) 4.4 (1.1)
40 × 40 1600 160 113.8(15.5) 13.0 (6.6) 2.2 (3.0) 0 (0.1) 6.1 (1.8)
33 × 15 495 50 88.6 (8.5) 8.6 (4.1) 1.3 (1.3) 0 (0) 6.8 (1.2)
33 × 33 1089 109 106.0(14.9) 11.4 (6.0) 1.0 (1.5) 0 (0.1) 6.3 (1.8)
47 × 22 1034 103 112.1(10.9) 15.1 (6.0) 2.9 (1.9) 0.4 (0.6) 5.6 (1.4)
42 × 28 1176 118 103.0(13.8) 11.4 (6.7) 1.6 (1.8) 0.2 (0.7) 5.6 (1.3)
37 × 22 814 81.4 97.3 (9.2) 10.6 (3.8) 1.6 (1.0) 0.1 (0.4) 5.9 (1.3)
37 × 33 1221 122 118.9(13.3) 15.5 (5.7) 2.0 (2.3) 0.2 (0.5) 7.3 (1.4)
52 × 28 1456 146 109.6(14.5) 16.2 (6.8) 5.0 (3.3) 0.6 (1.0) 6.2 (1.5)

5 vs 5 (+1f) 43 × 35 1505 137 98.4 (11.8) 11.5 (3.9) 1.9 (1.0) 0.3 (0.3) 5.8 (1.0)
45 × 35 1575 143 110.3(13.6) 16.5 (7.5) 3.8 (2.9) 0.5 (0.9) 5.8 (1.4)
40 × 28 1120 102 84.3 (12.7) 6.9 (3.2) 0.8 (0.8) 0 (0.1) 3.1 (1.3)
40 × 36 1440 131 108.1(20.2) 12.1 (6.0) 1.9 (2.1) 0.1 (0.4) 4.7 (1.8)
40 × 25 1000 91 92.2 (11.3) 7.3 (3.9) 0.5 (0.4) 0.1 (0.2) 4.9 (1.1)
25 × 22 550 50 89.0 (12.2) 3.2 (1.7) 0.2 (0.4) 0 (0) 4.3 (1.0)
40 × 26 1040 95 98.8 (10.0) 13.4 (3.9) 3.2 (2.0) 0.4 (0.5) 5.4 (1.2)
50 × 25 1250 114 63.4 (9.1) 5.7 (3.0) 1.4 (1.2) 0.3 (0.5) 0.7 (0.3)
45 × 30 1350 123 94.9 (8.2) 6.5 (2.0) 1.1 (1.0) 0.1 (0.3) 3.6 (1.3)
52 × 36 1008 92 106.1(13.3) 14.1 (5.2) 3.4 (1.6) 0.7 (0.6) 4.4 (0.8)
40 × 27 1080 98 85.9 (9.5) 7.3 (2.9) 0.9 (1.0) 0.1 (0.4) 4.4 (1.1)
50 × 20 1000 91 58.7 (16.0) 5.2 (2.4) 2.1 (2.1) 0.7 (1.4) 1.3 (1.9)
43 × 28 1204 109 96.7 (10.4) 9.5 (2.4) 2.1 (0.9) 0.4 (0.7) 4.5 (0.7)
40 × 40 1600 145 93.8 (11.9) 10.9 (3.3) 2.1 (1.6) 0.1 (0.1) 4.9 (1.0)
50 × 34 1700 155 110.1(13.2) 15.9 (6.1) 3.0 (2.0) 0.5 (0.9) 5.9 (1.2)
50 × 40 2000 182 109.6(13.5) 15.6 (5.6) 4.7 (2.6) 1.1 (1.7) 5.1 (1.3)
52 × 40 2080 160 97.0 (9.1) 10.7 (3.6) 3.2 (2.2) 0.7 (0.9) 4.4 (1.1)

4 vs 4 30 × 20 600 754 86.5 (9.0) 6.3 (2.0) 0.4 (0.3) 0(0) 6.1 (1.6)
40 × 25 1000 125 108.2(11.1) 16.4 (4.2) 1.8 (1.9) 0 (0.1) 6.8 (1.0)
40 × 30 1200 150 111.5(14.5) 18.9 (6.4) 3.5 (2.6) 0.1 (0.3) 6.2 (1.4)
40 × 35 1400 175 128.2(12.8) 17.8 (6.5) 4.2 (2.2) 0.2 (0.5) 6.7 (1.4)
32 × 28 896 112 116.4(15.9) 13.8 (6.6) 1.0 (1.5) 0 (0.0) 7.2 (1.8)
40 × 25 1000 125 111.8(12.5) 13.8 (3.1) 2.0 (1.2) 0.1 (0.3) 6.4 (1.1)
40 × 35 1400 175 100.4(9.8) 8.8 (2.9) 0.5 (0.6) 0(0) 6.3 (1.9)

4 vs 4 (+1f) 36 × 22 792 88 99.9 (11.2) 13.8 (4.4) 2.1 (1.2) 0.1 (0.1) 6.2 (0.9)
43 × 25 1075 119 102.9(8.6) 15.2 (5.2) 3.4 (2.2) 0.4 (0.7) 6.2 (1.7)
40 × 20 800 89 114.1(11.8) 14.4 (11.8) 2.6 (1.7) 0.3 (0.7) 7.2 (1.3)
30 × 30 900 100 110.6(12.0) 9.3 (5.5) 0.9 (1.1) 0.1 (0.2) 7.2 (1.5)
40 × 20 800 89 97.7 (6.8) 13.6 (5.0) 3.9 (1.5) 0.4 (0.5) 3.8 (1.1)
40 × 40 1600 178 119.0(22.8) 20.4 (12.9) 3.7 (4.4) 0.8 (0.8) 5.7 (2.6)
40 × 23 920 102 90.0 (8.6) 7.6 (2.3) 0.9 (0.9) 0 (0) 5.1 (0.9)
43 × 22 946 105 99.0 (12.8) 12.0 (4.9) 2.7 (1.7) 0.3 (0.7) 4.8 (0.8)
47 × 40 1880 209 134.4(19.9) 23.4 (8.4) 4.5 (2.5) 0.2 (0.6) 6.7 (1.6)
40 × 25 1000 111 104.3(9.5) 12.8 (3.2) 2.7 (1.8) 0.4 (0.8) 6.0 (1.4)
34 × 30 1020 113 108.4(6.5) 13.5 (4.0) 2.6 (2.1) 0.3 (0.8) 6.6 (1.2)
40 × 31 1240 138 116.3(10.5) 16.2 (4.7) 2.7 (1.4) 0.1 (0.2) 6.4 (1.0)

3 vs 3 40 × 32 1280 213 88.9 (9.6) 7.6 (3.8) 1.5 (1.2) 0 (0.1) 6.4 (1.4)
30 × 20 600 100 94.9 (8.1) 7.8 (2.4) 0.6 (0.5) 0.1 (0.3) 6.8 (1.5)
32 × 16 512 85 112.3(11.4) 17.2 (5.1) 2.7 (2.5) 0.4 (1.3) 8.7 (1.5)

3 vs 3 (+1f) 25 × 22 550 79 102.8(16.1) 9.1 (6.5) 1.5 (2.1) 0 (0) 6.0 (1.9)
32 × 16 512 73 105.7(7.9) 14.8 (4.1) 2.3 (1.3) 0.3 (0.5) 7.0 (1.0)
37 × 20 740 106 118.3(13.0) 22.4 (5.3) 5.9 (5.2) 0.9 (1.5) 6.3 (1.9)

10 vs 9 70 × 65 4550 239 109.3(11.5) 14.2 (5.1) 5.3 (2.6) 2.4 (1.4) 4.7 (0.8)
54 × 54 2916 153 93.4 (10.6) 8.9 (4.0) 2.5 (2.0) 0.6 (0.7) 4.6 (0.9)
66 × 35 2310 122 103.8(11.8) 11.8 (5.7) 2.7 (1.8) 0.7 (0.9) 5.3 (1.3)

6 vs 3 (+1f) 37 × 20 740 74 103.2(8.2) 15.1 (4.1) 5.0 (2.6) 1.5 (1.2) 5.9 (1.3)

7 vs 6 53 × 27 1431 110 88.7 (8.3) 10.6 (3.7) 2.0 (1.7) 0.5 (0.7) 3.7 (1.0)

The small-sided games are split for the number of players and pitch size (width × length). The total pitch area (m2) and area per player (m2 · player) have been calculated. The number of floaters, when required, is reported between bracket (i.e., one floater: +1f, two floaters: +2f, etc.). Average locomotor demands are reported for total distance (TD), high-speed running (HSR), very high-speed running (VHSR), sprint (SPR) and acceleration/Deceleration (Acc/Dec). Data are reported as mean (SD).

Supplementary table 4.

Pitch size and locomotor demands during small-sided games in U18 soccer players.

N° Player m m2 m2⋅player TD HSR VHSR SPR Acc/Dec
10 vs 10 60 × 52 3120 156 102.8 (8.4) 10.3 (4.6) 2.3 (2.0) 0.4 (0.7) 4.5 (0.9)

9 vs 9 50 × 60 3000 166.7 88.8 (6.8) 9.2 (2.8) 1.9 (0.9) 0.5 (0.6) 3.0 (0.8)
40 × 52 2080 115.6 88.1 (18.7) 8.2 (5.2) 2.2 (2.1) 0.5 (0.8) 3.3 (1.6)

8 vs 8 65 × 52 3380 211.3 99.9 (7.5) 10.9 (2.6) 2.3 (1.2) 0.4 (0.3) 4.5 (0.8)
50 × 60 3000 187.5 104.8 (9.6) 12.1 (4.7) 3.0 (1.8) 0.5 (0.6) 5.0 (0.8)
53 × 40 2120 132.5 58.9 (3.8) 4.4 (1.8) 0.7 (0.6) 0.1 (0.3) 4.0 (1.1)
35 × 60 2100 131.3 108.2 (8.7) 12.0 (4.3) 3.2 (1.6) 0.5 (0.6) 4.3 (0.7)
40 × 52 2080 130.0 92.3 (8.2) 9.4 (3.4) 2.5 (1.2) 0.5 (0.4) 4.4 (0.7)
40 × 50 2000 125.0 96.0 (9.4) 10.2 (2.8) 1.8 (1.2) 0.4 (0.5) 4.6 (0.9)
40 × 40 1600 100.0 84.6 (8.2) 7.2 (2.6) 1.6 (1.3) 0.2 (0.3) 4.7 (1.0)

8 vs 8 (+1f) 60 × 50 3000 176.5 92.1 (10.0) 10.2 (3.8) 2.6 (1.0) 0.4 (0.5) 2.7 (0.5)
40 × 60 2400 141.2 94.7 (7.7) 10.9 (2.3) 3.9 (1.7) 1.7 (1.5) 3.3 (0.5)
40 × 40 1600 94.1 83.5 (10.5) 6.7 (3.0) 1.1 (0.8) 0.1 (0.2) 4.5 (1.0)
35 × 40 1400 82.4 90.5 (9.0) 6.3 (3.1) 1.2 (1.1) 0.2 (0.5) 4.5 (1.0)

7 vs 7 48 × 51 2448 174.9 99.9 (6.7) 10.8 (4.1) 2.1 (1.0) 0.3 (0.5) 4.0 (0.8)
53 × 40 2120 151.4 100.8 (3.0) 9.3 (2.7) 2.4 (1.1) 0.5 (0.4) 5.6 (0.9)
40 × 52 2080 148.6 97.0 (13.2) 9.7 (4.6) 2.3 (1.4) 0.3 (0.3) 4.2 (1.3)
40 × 50 2000 142.9 94.4 (7.2) 10.3 (4.5) 2.1 (1.9) 0.4 (0.5) 3.9 (0.8)
38 × 52 1976 141.1 104.2 (9.2) 12.6 (3.7) 2.8 (1.4) 0.5 (0.7) 5.1 (0.8)
35 × 45 1575 112.5 93.2 (5.8) 7.1 (0.6) 1.3 (0.8) 0.5 (0.7) 3.7 (0.5)
40 × 25 1000 71.4 85.8 (8.3) 5.5 (2.9) 0.5 (0.5) 0.1 (0.2) 4.1 (0.9)

8 vs 6 40 × 52 2080 148.6 99.0 (7.8) 9.5 (3.0) 1.9 (1.0) 0.2 (0.3) 4.2 (0.7)

6 vs 6 34 × 50 1700 141.7 84.0 (9.4) 9.4 (3.4) 3.2 (2.6) 1.4 (1.5) 3.9 (1.0)
40 × 40 1600 133.3 93.4 (8.4) 8.1 (2.4) 1.2 (0.9) 0.2 (0.5) 4.9 (0.7)
40 × 38 1520 126.7 97.3 (6.9) 8.9 (1.8) 1.7 (0.7) 0.4 (0.5) 4.5 (0.6)
35 × 40 1400 116.7 91.2 (12.6) 7.6 (4.8) 1.1 (1.2) 0.1 (0.3) 4.8 (1.1)
30 × 35 1050 87.5 82.4 (6.3) 6.0 (2.5) 0.6 (0.6) 0.0 (0.0) 4.6 (1.1)

6 vs 6 (+1f) 46 × 48 2208 169.8 106.6 (9.6) 12.4 (4.0) 2.5 (1.8) 0.9 (1.3) 4.5 (0.9)
34 × 60 2040 156.9 80.7 (9.8) 8.4 (3.2) 1.9 (1.2) 0.4 (0.3) 3.9 (0.5)
40 × 40 1600 123.1 91.2 (6.4) 7.3 (3.1) 1.1 (1.4) 0.1 (0.2) 5.0 (1.2)

5 vs 5 44 × 34 1496 149,6 83.8 (9.9) 5.9 (3.1) 1.0 (1.2) 0.4 (0.5) 4.0 (1.4)
40 × 37 1480 148.0 89.7 (5.7) 8.0 (3.1) 1.6 (1.2) 0.2 (0.3) 4.5 (0.6)
30 × 34 1020 102.0 94.6 (5.6) 7.6 (2.6) 1.5 (1.2) 0.2 (0.2) 5.1 (1.0)
25 × 38 950 95.0 97.6 (7.4) 9.6 (2.8) 1.2 (0.9) 0.3 (0.4) 5.7 (1.1)
30 × 30 900 90.0 84.6 (6.4) 6.9 (2.7) 0.7 (0.4) 0.0 (0.1) 4.4 (0.7)

4 vs 4 40 × 35 1400 175.0 89.1 (11.6) 6.0 (3.7) 0.8 (1.1) 0.1 (0.3) 5.5 (1.9)
30 × 40 1200 150.0 82.3 (20.3) 9.1 (3.7) 1.6 (1.3) 0.1 (0.3) 4.4 (1.0)

4 vs 4 (+1f) 30 × 35 1050 116.7 110.5 (9.0) 10.6 (4.2) 1.4 (1.8) 0.0 (0.2) 5.9 (1.5)
30 × 30 900 100.0 101.4 (6.4) 8.2 (3.0) 0.8 (0.8) 0.0 (0.0) 6.6 (1.1)

3 vs 3 (+1f) 25 × 30 750 107,1 128.7 (13.4) 20.8 (6.7) 1.5 (2.0) 0.1 (0.2) 9.9 (1.2)
15 × 25 375 53.6 81.0 (7.7) 4.0 (2.6) 0.5 (0.6) 0.0 (0.0) 5.0 (1.3)

3 vs 3 20 × 25 500 83.3 102.2 (8.0) 14.3 (4.2) 2.0 (1.7) 0.5 (0.8) 8.2 (1.5)

2 vs 2 20 × 30 600 150 138.3 (9.2) 28.6 (7.5) 6.3 (4.0) 0.3 (0.8) 14.3 (2.5)

The small-sided games are split for the number of players and pitch size (width × length). The total pitch area (m2) and area per player (m2 · player) have been calculated. The number of floaters, when required, is reported between bracket (i.e., one floater: +1f; two floaters: +2f). The total pitch area (m2) and area per player (m2 · player) have been calculated. Average locomotor demands are reported for total distance (TD), high-speed running (HSR), very high-speed running (VHSR), sprint (SPR) and acceleration/Deceleration (Acc/Dec). Data are reported as mean (SD).

Supplementary table 5.

Pitch size and locomotor demands during small-sided games in U19 soccer players.

N° Players m m2 m2⋅player TD HSR VHSR SPR Acc/Dec
10 vs 10 66 × 70 4620 231.0 109.3 (15.4) 13.3 (6.7) 4.8 (3.4) 2.1 (2.2) 3.5 (1.4)
65 × 75 4875 243.8 116.7 (12.1) 17.0 (4.6) 4.8 (3.3) 1.5 (1.8) 4.4 (1.1)
66 × 90 5940 297.0 116.4 (15.1) 14.9 (5.5) 5.8 (3.1) 3.1 (2.4) 3.2 (1.2)
65 × 90 5850 292.5 129.2 (11.5) 20.7 (3.3) 8.7 (3.5) 3.8 (2.2) 4.1 (1.2)
33 × 32 1056.24 52.8 84.3 (9.1) 2.8 (2.0) 0.4 (0.6) 0.0 (0.1) 4.0 (1.0)
40 × 40 1600 80.0 96.5 (10.9) 5.9 (2.6) 1.2 (1.2) 0.2 (0.4) 4.0 (1.1)
50 × 35 1750 87.5 96.6 (10.6) 5.6 (2.3) 0.8 (0.8) 0.1 (0.2) 4.1 (0.8)
43 × 43 1806 90.3 99.3 (9.9) 6.4 (2.7) 1.5 (1.7) 0.9 (1.5) 4.2 (1.3)
50 × 36 1800 90.0 101.0 (16.0) 6.7 (3.1) 1.0 (1.0) 0.2 (0.4) 4.5 (1.1)
50 × 40 2000 100.0 98.3 (9.3) 6.3 (2.5) 1.1 (0.7) 0.1 (0.2) 4.7 (0.8)
42 × 48 2016 100.8 97.7 (11.0) 7.0 (3.1) 1.6 (1.3) 0.4 (0.7) 4.2 (1.1)
40 × 52 2080 104.0 92.3 (13.3) 8.0 (2.7) 1.4 (0.8) 0.2 (0.3) 3.4 (0.6)
40.9 × 51.1 2090 104.5 97.1 (9.5) 8.0 (2.9) 1.9 (1.3) 0.4 (0.7) 4.1 (1.1)
45.8 × 50.2 2300 115.0 100.1 (9.8) 8.9 (2.7) 2.3 (1.6) 0.8 (1.0) 4.1 (1.2)
50 × 45 2250 112.5 96.7 (10.9) 5.7 (2.3) 0.9 (0.8) 0.0 (0.1) 4.2 (1.0)
40 × 60 2400 120.0 100.0 (8.5) 8.2 (3.2) 2.3 (1.8) 0.8 (0.9) 4.1 (1.2)
50 × 52 2600 130.0 99.7 (10.7) 8.8 (3.1) 2.1 (1.3) 0.4 (0.6) 4.2 (1.4)
52 × 52 2704 135.2 99.2 (7.9) 8.1 (2.5) 2.3 (1.8) 0.7 (0.7) 3.8 (0.9)
50 × 55 2750 137.5 101.4 (7.7) 9.7 (2.7) 2.7 (1.7) 0.9 (1.3) 4.6 (0.8)
50 × 60 3000 150.0 97.5 (11.0) 9.3 (3.9) 2.8 (1.7) 0.9 (1.1) 4.2 (1.1)
50 × 61 3050 152.5 105.9 (9.4) 11.1 (3.0) 3.3 (1.5) 1.2 (1.2) 3.4 (0.9)
52 × 65 3380 169.0 101.2 (13.6) 8.8 (4.4) 2.4 (2.2) 0.9 (1.6) 3.9 (1.2)
50 × 70 3500 175.0 104.6 (12.5) 10.2 (4.5) 3.3 (2.2) 1.3 (1.3) 4.0 (0.9)
60 × 65 3900 195.0 113.6 (11.7) 12.2 (4.1) 4.2 (2.3) 1.7 (1.8) 4.0 (0.7)
50 × 80 4000 200.0 84.5 (8.4) 8.4 (2.7) 2.3 (1.1) 0.7 (0.8) 3.7 (0.8)
55 × 75 4125 206.3 111.7 (11.5) 13.5 (4.5) 3.6 (1.9) 1.2 (1.1) 4.0 (1.0)
65 × 70 4550 227.5 109.0 (11.7) 13.1 (4.1) 4.3 (2.6) 2.0 (2.0) 4.0 (0.8)
60 × 80 4800 240.0 94.7 (10.7) 9.9 (3.1) 2.9 (1.6) 1.4 (1.2) 3.0 (0.8)
65.5 × 104 6812 340.6 122.8 (12.5) 18.3 (5.1) 6.1 (2.6) 3.1 (2.1) 3.4 (0.8)
66 × 104 6864 343.2 135.0 (11.7) 22.8 (7.3) 8.7 (3.8) 4.8 (3.9) 3.6 (1.3)

10 vs 10 (+1f) 66 × 104 6864 326.9 135.0 (13.5) 21.8 (7.5) 8.3 (4.0) 4.9 (3.2) 3.6 (1.0)
66 × 90 5940 282.9 126.4 (10.7) 18.4 (4.4) 6.4 (2.3) 3.4 (3.3) 3.9 (1.3)
66 × 70 4620 220.0 124.6 (10.2) 19.0 (3.3) 7.1 (3.6) 1.7 (1.6) 3.9 (1.3)
40 × 60 2400 114.3 98.4 (9.0) 7.2 (2.7) 2.1 (1.8) 0.3 (0.4) 4.0 (1.0)
30 × 35 1050 50.0 95.4 (9.4) 4.8 (2.6) 0.7 (0.8) 0.2 (0.3) 4.1 (1.1)
35 × 50 1750 83.3 101.4 (7.4) 8.0 (2.8) 2.6 (1.7) 1.0 (1.0) 4.5 (1.2)
35 × 54 1890 90.0 97.8 (8.0) 8.9 (2.3) 2.1 (1.4) 0.5 (0.6) 4.2 (0.8)
40 × 55 2200 104.8 99.1 (7.9) 8.4 (2.7) 2.1 (1.1) 0.5 (0.5) 4.1 (0.8)
35 × 40 1400 66.7 90.9 (8.9) 4.6 (2.2) 0.8 (0.8) 0.2 (0.3) 4.0 (1.2)
50 × 35 1750 83.3 93.3 (14.1) 5.2 (1.9) 0.5 (0.4) 0.1 (0.1) 3.8 (0.8)
45 × 40 1800 85.7 101.4 (12.4) 5.6 (1.9) 0.9 (0.6) 0.1 (0.1) 4.1 (0.7)
50 × 40 2000 95.2 96.8 (9.2) 5.9 (2.3) 1.0 (0.9) 0.1 (0.1) 4.2 (1.0)
40 × 50 2000 95.2 98.9 (10.1) 7.2 (3.7) 2.1 (1.6) 1.0 (1.3) 3.9 (1.2)
45 × 45 2025 96.4 96.5 (9.7) 7.1 (2.8) 1.2 (0.8) 0.4 (0.8) 4.7 (1.1)
40 × 52 2080 99.0 101.7 (8.9) 8.1 (3.0) 1.9 (1.3) 0.5 (0.6) 3.9 (1.1)
45 × 50 2250 107.1 97.2 (10.3) 9.2 (3.0) 3.3 (2.2) 1.3 (2.1) 4.7 (1.3)
50 × 50 2500 119.0 103.8 (8.8) 9.6 (2.8) 2.7 (1.7) 0.3 (0.3) 4.6 (1.0)
50 × 52 2600 123.8 103.3 (10.2) 9.6 (3.6) 2.4 (1.8) 1.0 (1.4) 4.2 (1.1)
50 × 70 3500 166.7 109.6 (12.9) 10.5 (3.4) 3.0 (2.2) 1.5 (1.8) 3.7 (1.0)
50 × 80 4000 190.5 114.4 (8.8) 12.1 (4.6) 3.9 (2.7) 1.4 (1.4) 3.7 (1.0)

10 vs 10 (+2f) 40 × 52 2080 94.5 102.6 (11.0) 8.3 (3.1) 1.9 (1.5) 0.5 (0.5) 3.8 (0.6)
40 × 55 2200 100.0 99.7 (8.9) 8.6 (4.4) 2.2 (1.5) 0.6 (0.9) 3.6 (1.1)
65 × 80 5200 236.4 109.3 (7.5) 11.9 (3.6) 3.3 (2.1) 1.0 (1.2) 3.4 (0.9)

9 vs 9 40 × 40 1600 88.9 95.6 (14.3) 6.0 (2.4) 1.2 (1.0) 0.3 (0.5) 4.5 (1.3)
40 × 55 2200 122.2 97.6 (7.6) 7.3 (2.9) 1.8 (1.5) 0.2 (0.4) 3.4 (1.2)
40 × 50 2000 111.1 100.9 (10.6) 7.0 (3.4) 1.8 (1.6) 0.5 (1.0) 3.6 (1.2)
40.8 × 51.2 2089 116.1 101.0 (9.5) 8.9 (3.0) 2.1 (1.5) 0.6 (0.8) 4.2 (1.0)
40 × 54 2160 120.0 96.5 (7.0) 6.1 (2.3) 1.6 (1.2) 0.6 (0.7) 3.1 (0.9)
50 × 52 2600 144.4 85.6 (14.0) 6.1 (2.7) 1.1 (0.4) 0.2 (0.1) 3.5 (1.1)
65 × 70 4550 252.8 107.3 (10.2) 13.3 (4.5) 4.5 (2.2) 1.3 (1.2) 3.6 (0.8)
67 × 70 4690 260.6 124.8 (7.9) 14.0 (4.8) 4.2 (2.1) 1.4 (1.6) 4.3 (0.8)
66 × 104 6864 381.3 125.0 (6.4) 17.7 (4.0) 5.7 (1.9) 2.1 (1.1) 3.3 (0.6)

9 vs 9 (+1f) 68 × 104 7072 372.2 138.0 (11.4) 24.2 (6.5) 10.6 (3.1) 6.3 (3.1) 3.7 (0.9)
32 × 38 1216 64.0 95.1 (7.3) 5.6 (1.9) 1.3 (0.9) 0.3 (0.5) 4.3 (1.1)
40 × 45 1800 94.7 95.5 (7.9) 7.2 (3.1) 2.1 (1.1) 0.8 (0.8) 3.8 (1.1)
35 × 35 1225 64.5 96.6 (7.1) 6.2 (2.1) 0.9 (0.8) 0.1 (0.2) 4.7 (1.3)
40 × 40 1600 84.2 96.6 (9.4) 6.2 (2.8) 1.1 (1.1) 0.2 (0.3) 4.3 (1.0)
40 × 52 2080 109.5 100.7 (10.0) 8.4 (3.6) 2.0 (1.2) 0.6 (0.6) 4.0 (1.1)
45 × 50 2250 118.4 102.1 (13.9) 10.6 (4.7) 2.0 (1.3) 0.2 (0.2) 4.7 (1.0)

9 vs 9 (+2f) 30 × 35 1050 52.5 83.4 (8.7) 2.8 (2.0) 0.2 (0.4) 0.0 (0.1) 3.4 (1.0)
35 × 30 1050 52.5 86.4 (8.0) 2.5 (2.3) 0.3 (0.6) 0.1 (0.3) 3.1 (1.1)
40 × 30 1200 60.0 89.5 (8.1) 3.1 (2.1) 0.3 (0.4) 0.0 (0.0) 3.5 (1.1)

8 vs 8 (+2f) 30 × 30 900 50.0 85.6 (9.0) 2.7 (1.7) 0.4 (0.6) 0.0 (0.0) 4.7 (1.5)
35 × 35 1225 68.1 93.3 (10.5) 6.8 (2.9) 1.7 (1.6) 0.2 (0.3) 4.8 (1.2)

8 vs 7 50 × 60 3000 200.0 86.4 (7.4) 9.1 (3.2) 2.1 (1.0) 0.4 (0.8) 3.4 (0.7)
7 vs 7 28 × 30 840 60 96.7 (6.3) 5.8 (2.5) 1.1 (0.8) 0.1 (0.2) 4.4 (1.1)
33 × 52 1716 122.6 98.6 (8.0) 8.9 (3.1) 2.2 (1.7) 0.6 (0.8) 4.8 (1.2)
32 × 40 1280 91.4 95.9 (8.8) 5.9 (2.0) 0.8 (0.8) 0.0 (0.0) 4.9 (1.6)
40 × 48 1920 137.1 104.4 (6.7) 8.9 (2.5) 2.4 (1.5) 0.7 (1.1) 4.9 (1.3)
25 × 25 625 44.6 84.8 (10.7) 2.7 (1.6) 0.2 (0.2) 0.0 (0.0) 4.6 (0.9)
25 × 35 875 62.5 95.0 (8.2) 6.1 (2.8) 0.9 (0.7) 0.0 (0.0) 5.0 (0.7)
30 × 40 1200 85.7 103.1 (8.7) 8.4 (3.6) 1.6 (1.3) 0.1 (0.2) 4.9 (1.1)
35 × 40 1400 100.0 90.3 (7.3) 8.2 (1.6) 1.8 (0.8) 0.2 (0.2) 4.3 (0.5)
35 × 45 1575 112.5 99.5 (11.2) 7.8 (3.1) 1.9 (1.1) 0.4 (0.4) 4.1 (1.2)
40 × 45 1800 128.6 99.8 (7.4) 8.7 (3.1) 2.0 (1.1) 0.3 (0.3) 4.6 (1.1)
40 × 52 2080 148.6 114.8 (19.6) 13.4 (6.6) 3.1 (2.2) 0.8 (0.9) 4.7 (1.0)
45 × 70 3150 225.0 106.2 (7.3) 14.2 (4.0) 5.2 (3.7) 2.3 (1.9) 3.3 (0.8)
50 × 70 3500 250.0 118.6 (12.1) 16.6 (5.1) 5.6 (2.3) 2.4 (2.0) 3.9 (0.9)

7 vs 7 (+1f) 25 × 30 750 50.0 82.9 (7.8) 3.0 (2.0) 0.2 (0.4) 0.0 (0.1) 4.0 (1.0)
30 × 30 900 60.0 88.6 (9.2) 3.8 (1.6) 0.3 (0.3) 0.0 (0.1) 4.2 (1.2)
30 × 40 1200 80.0 94.0 (8.8) 7.9 (3.9) 1.7 (1.3) 0.3 (0.5) 4.9 (1.1)
40 × 52 2080 138.7 98.8 (12.7) 9.2 (4.4) 2.0 (1.6) 0.2 (0.5) 3.3 (0.8)
50 × 50 2500 166.7 96.3 (14.1) 7.9 (4.7) 1.7 (1.7) 0.5 (0.8) 3.6 (1.3)
50 × 70 3500 233.3 114.1 (14.7) 12.7 (6.1) 5.4 (3.3) 2.5 (1.6) 3.7 (0.8)
50 × 75 3750 250.0 119.6 (14.0) 15.4 (7.5) 5.1 (2.2) 2.8 (2.7) 3.2 (1.0)

7 vs 7 (+2f) 25 × 30 750 46.9 89.6 (11.3) 2.7 (1.6) 0.3 (0.5) 0.0 (0.1) 3.9 (1.2)
6 vs 6 35 × 45 1575 131.3 93.0 (9.1) 8.9 (3.6) 1.8 (1.2) 0.3 (0.6) 3.9 (1.5)
18 × 25 450 37.5 94.6 (8.6) 4.9 (1.8) 0.4 (0.3) 0.0 (0.1) 3.8 (0.8)
25 × 20 500 41.7 92.4 (10.9) 4.7 (2.2) 0.4 (0.5) 0.0 (0.0) 4.5 (0.9)
30 × 32 960 80.0 94.3 (10.1) 6.2 (3.0) 1.1 (0.8) 0.3 (0.4) 4.6 (1.5)
20 × 35 700 58.3 88.2 (7.7) 4.9 (1.9) 0.7 (0.6) 0.1 (0.2) 5.3 (1.2)
30 × 30 900 75.0 99.6 (8.1) 6.5 (2.6) 1.0 (0.8) 0.2 (0.3) 5.0 (1.1)
30 × 32 960 80.0 95.1 (10.9) 6.6 (3.6) 0.8 (1.1) 0.2 (0.4) 4.9 (1.3)
30 × 35 1050 87.5 99.4 (7.6) 6.7 (3.2) 1.5 (1.0) 0.1 (0.1) 3.9 (0.8)
30 × 40 1200 100.0 96.2 (8.0) 8.2 (2.6) 1.7 (1.0) 0.3 (0.4) 4.9 (1.2)
35 × 35 1225 102.1 101.3 (13.7) 8.6 (3.9) 1.5 (1.2) 0.2 (0.4) 5.4 (1.4)
35 × 40 1400 116.7 100.6 (9.4) 8.5 (2.5) 1.8 (1.1) 0.3 (0.5) 4.1 (1.0)
36 × 42 1512 126.0 102.0 (7.9) 8.3 (3.7) 1.8 (1.7) 0.3 (0.4) 3.9 (0.9)
50 × 60 3000 250.0 122.5 (10.0) 15.1 (3.4) 3.7 (2.5) 0.9 (1.1) 4.1 (1.5)

6 vs 6 (+1f) 20 × 30 600 46.2 80.3 (13.5) 2.5 (2.0) 0.1 (0.3) 0.0 (0.1) 4.0 (1.4)
35 × 40 1400 107.7 90.0 (11.5) 6.7 (3.3) 1.6 (1.2) 0.1 (0.3) 3.9 (1.1)
40 × 35 1400 107.7 104.3 (2.7) 9.6 (1.8) 1.8 (0.7) 0.3 (0.3) 4.9 (1.2)
34 × 42 1428 109.8 106.8 (9.8) 10.5 (3.7) 2.4 (0.9) 0.5 (0.7) 4.8 (1.2)

6 vs 6 (+2f) 30 × 30 900 64.3 95.5 (17.7) 5.9 (4.0) 0.5 (0.5) 0.0 (0.0) 3.4 (1.3)

5 vs 5 20 × 25 500 50.0 93.4 (6.9) 5.5 (1.8) 0.4 (0.4) 0.0 (0.1) 5.4 (1.0)
50 × 52 2600 260.0 128.9 (13.0) 22.6 (7.1) 7.2 (2.5) 1.6 (1.6) 6.0 (1.6)
30 × 40 1200 120.0 104.2 (7.9) 12.6 (2.5) 2.3 (1.4) 0.4 (0.5) 4.9 (1.5)
20 × 20 400 40.0 111.8 (6.2) 7.0 (2.8) 0.3 (0.4) 0.0 (0.0) 5.3 (0.8)
32 × 32 1024 102.4 96.8 (6.2) 6.8 (1.8) 0.9 (0.6) 0.1 (0.2) 4.9 (0.9)
28 × 32 896 89.6 111.1 (12.9) 11.4 (5.3) 2.0 (1.1) 0.2 (0.5) 6.2 (1.1)
25 × 22 550 55.0 101.7 (3.8) 5.6 (2.8) 0.4 (0.4) 0.0 (0.0) 4.8 (0.7)
20 × 30 600 60.0 91.3 (8.5) 4.4 (2.2) 0.3 (0.4) 0.0 (0.0) 4.7 (1.2)
32 × 30 960 96.0 106.2 (8.1) 10.3 (2.4) 1.8 (1.5) 0.2 (0.3) 5.8 (1.2)
25 × 30 750 75.0 102.5 (7.7) 9.8 (2.7) 1.1 (0.7) 0.0 (0.0) 5.7 (0.8)
30 × 30 900 90.0 106.1 (7.8) 9.0 (2.6) 1.5 (1.3) 0.1 (0.3) 6.1 (1.3)
30 × 32 960 96.0 107.3 (10.5) 9.8 (3.9) 1.5 (1.1) 0.2 (0.3) 6.0 (1.4)
34 × 37 1258 125.8 104.8 (10.4) 10.8 (4.1) 2.5 (1.3) 0.8 (0.6) 5.3 (0.9)
50 × 35 1750 175.0 123.9 (10.5) 17.0 (4.1) 5.1 (2.2) 0.7 (0.9) 5.3 (1.2)
40 × 50 2000 200.0 110.0 (9.8) 14.9 (3.1) 4.0 (1.7) 1.3 (1.2) 4.9 (1.1)
40 × 52 2080 208.0 116.7 (14.9) 15.2 (5.2) 4.4 (2.3) 1.5 (1.7) 5.0 (1.3)

5 vs 5 (+1f) 25 × 20 500 45.5 86.2 (9.1) 3.0 (1.4) 0.5 (0.7) 0.0 (0.1) 5.1 (1.3)
35 × 30 1050 95.5 99.7 (11.8) 8.2 (3.2) 1.2 (0.9) 0.1 (0.2) 4.8 (1.5)
40 × 50 2000 181.8 130.0 (11.0) 19.8 (4.8) 6.2 (2.7) 0.9 (0.8) 5.2 (1.2)
40 × 52 2080 189.1 126.4 (15.4) 18.5 (7.0) 5.2 (2.6) 0.8 (1.1) 4.9 (1.1)

4 vs 4 20 × 20 400 50.0 97.2 (8.0) 4.7 (2.1) 0.2 (0.2) 0.0 (0.0) 5.8 (1.3)
28 × 32 896 112.0 105.8 (6.6) 10.9 (3.9) 1.4 (1.0) 0.1 (0.2) 5.9 (1.3)
30 × 32 960 120.0 107.3 (6.6) 10.3 (2.3) 1.4 (0.6) 0.1 (0.2) 5.2 (0.7)
25 × 30 750 93.8 108.2 (8.4) 10.6 (2.9) 2.2 (1.3) 0.1 (0.2) 7.1 (1.4)
25 × 35 875 109.4 101.1 (11.5) 9.3 (3.9) 1.5 (0.8) 0.1 (0.2) 5.7 (1.3)
30 × 30 900 112.5 101.8 (6.9) 9.2 (2.4) 1.7 (1.2) 0.1 (0.1) 6.0 (1.1)
28 × 34 952 119.0 110.8 (9.4) 12.9 (3.8) 1.5 (1.3) 0.2 (0.5) 8.0 (1.6)
30 × 35 1050 131.3 104.6 (11.6) 9.6 (4.4) 2.5 (2.1) 0.7 (1.3) 5.6 (1.5)

3 vs 3 18 × 25 450 75.0 120.8 (13.3) 14.2 (6.2) 2.4 (2.2) 0.1 (0.2) 12.9 (3.1)
18 × 30 540 90.0 108.5 (8.3) 16.3 (5.3) 2.6 (2.1) 0.4 (0.6) 7.2 (1.9)
18 × 32 576 96.0 109.2 (5.9) 11.2 (2.8) 1.4 (1.1) 0.2 (0.3) 10.1 (2.4)

The small-sided games are split for the number of players and pitch size (width × length). The total pitch area (m2) and area per player (m2 · player) have been calculated. The number of floaters, when required, is reported between bracket (i.e., one floater: +1f; two floaters: +2f). Average locomotor demands are reported for total distance (TD), high-speed running (HSR), very high-speed running (VHSR), sprint (SPR) and acceleration/Deceleration (Acc/Dec). Data are reported as mean (SD).

The SSGs were performed under the supervision and motivation of several coaches to keep up a high work rate. For the same reason, a ball was always available by prompt replacement when it went out of play [4]. In SSGs, the corners were replaced by a prompt ball-in-game from the goalkeeper. The SSGs were completed after a standardized 20-min warm-up under the guidance of club staff. A total of 683 individual samples (17, 46, 177, 47 and 396 for U15 to U19) during 116 official matches (3, 10, 30, 10 and 63 for U15 to U19) with a median of 5 ± 6 (range = 40 to 3) individual samples were monitored. The official match pitch size was 105 × 66 m, with a grass surface.

Procedures

A 10 Hz Global Positioning System unit was used to collect data during both training and matches. Each device was turned on at least 15 min before each session to allow for acquisition of the satellite signal. To reduce the inter-unit differences, each player wore the same unit for every training session over the whole investigation. During both training sessions and matches, TD, HSR (15 to 19.9 km × h-1), VHSR (20 to 24 km × h-1), sprint (> 24 km × h-1) and Acc/Dec (> 3 m × s-1) were measured [3]. TD, HSR, VHSR, sprint and Acc/Dec were normalized as relative distance covered in one minute (m·min-1) and inserted into the data analysis.

To determine the ApP that replicates the normalized TD, HSR, VHSR, sprint and Acc/Dec (m × min-1) recorded during the official matches across each age category, we first recorded those variables during the official matches. Thereafter, we separately plotted each relationship between ApP and the normalized TD, HSR, VHSR, sprint and Acc/Dec during SSGs. Then, the mean values recorded during the official matches were used to intersect each ApP/ TD, HSR, VHSR, sprint and Acc/Dec relationship recorded in SSGs to calculate the ApP that corresponded to the official match demands (Figure 1), as previously proposed [3].

FIG. 1.

FIG. 1

Graphical representation of the procedures used to determine the area per player in SSGs that matches the official match demands. X-axis: the area per player in SSGs; Y-axis: the SSG demands. The regression line shows how the area per player influences the SSG demands. The horizontal dashed line represents the official match demands. From the intersection point of the regression line with the horizontal line (i.e., when the SSG demands equate the official match demands), a vertical dotted line is drawn to the X-axis. The intersection point between the X-axis and the vertical dotted line is the calculated area per player in SSGs necessary to replicate the official match demands.

Statistical analysis

SPSS (version 26, Chicago, IL, USA) was used to perform the statistical analysis. To check the normal distribution of the sampling, the Shapiro-Wilk test was used. A linear regression analysis was used to calculate the correlation between TD, HSR, VHSR, sprint, and Acc/Dec distance, and the ApP during SSGs. The correlation coefficient was interpreted as follows: r = 0.00–0.09 trivial, 0.10–0.29 small, 0.30–0.49 moderate, 0.50–0.69 large, 0.70–0.89 very large, 0.90–0.99 nearly perfect. Thereafter, a linear mixed model analysis was used to calculate the difference in the minimal ApP in TD, HSR, VHSR, sprint and Acc/Dec calculated for each category and position. A post-hoc analysis (Holm-Sidak correction) was used to calculate the differences in the independent factors. Cohen’s d effect size with 95% confidence intervals (CI) was used to describe the magnitude of the pairwise differences and interpreted as follows: < 0.20: trivial; 0.20–0.59: small; 0.60–1.19: moderate; 1.20–1.99: large; ≥ 2.00: very large. Statistical significance was set at α < 0.05. Unless otherwise stated, all values are presented as mean ± standard deviation (SD).

RESULTS

Correlations between area per player and locomotor demands

The correlations between ApP and locomotor demands for pooled data were moderate for TD, large for HSR, very large for VHSR and sprint and inversely small for Acc/Dec (Figure 2). Moderate to very large correlations for TD, HSR, VHSR and sprint and small inverse correlations for Acc/Dec were found across different age categories (Table 1).

FIG. 2.

FIG. 2

Relationship between area per player (m2·player) and relative locomotor demands (m·min-1) during small-sided games. The linear regression analysis with 95% confidence interval and the correlation between the area per player and the relative locomotor demands are reported for total distance (Panel A), high-speed running (Panel B), very high-speed running (Panel C), sprint (Panel D) and acceleration/deceleration (Panel E).

TABLE 1.

Correlations between area per player and locomotor demands during small-sided games for each age category.

U19 U18 U17 U16 U15
r P r P r P r P r P
TD 0.723 <0.001 very large 0.362 0.029 moderate 0.362 0.023 moderate 0.406 0.017 moderate 0.619 <0.001 large
HSR 0.838 <0.001 very large 0.356 0.022 moderate 0.311 0.019 moderate 0.732 <0.001 very large 0.759 <0.001 very large
VHSR 0.891 <0.001 very large 0.464 0.001 moderate 0.545 <0.001 large 0.810 <0.001 very large 0.829 <0.001 very large
Sprint 0.843 <0.001 very large 0.335 0.026 moderate 0.664 <0.001 large 0.713 <0.001 very large 0.781 <0.001 very large
Acc/Dec -0.255 0.037 small -0.142 0.355 small -0.267 0.031 small -0.243 0.166 small -0.273 0.036 small

Abbreviations: TD: total distance; HSR: high speed running; VHSR: very high-speed running; Acc/Dec: acceleration/deceleration. Bold text highlights significant correlations.

Area per player to replicate official match demands using SSGs

For pooled data, sprint showed slightly (ES: 0.38; CI: 0.18 to 0.57) higher (P = 0.041) ApP than VHSR, moderately (ES: 0.79; CI: 0.59 to 0.99) higher (P = 0.009) ApP than HSR and much higher (P < 0.001) ApP than TD (ES: 1.65; CI: 1.43 to 1.87). VHSR showed slightly higher (P = 0.009) ApP than HSR (ES: 0.41; CI: 0.22 to 0.61) and much higher (P < 0.001) ApP than TD (ES: 4.66; CI: 4.29 to 5.03). HSR showed a moderately higher (P < 0.001) ApP than TD (ES: 0.91; CI: 0.71 to 1.11). The ApP for Acc/Dec was moderately to largely lower (P < 0.001) than HSR (ES: -0.89; CI: -1.09 to 0.69), VHSR (ES: -1.25; CI: -1.46 to -1.04) and sprint (ES: -1.60; CI: -1.82 to -1.37); no difference (P > 0.05) in ApP between Acc/Dec and TD was found. Detailed ApP descriptions for each metric across difference categories are reported in Figure 3 (Panel A).

FIG. 3.

FIG. 3

Minimal area per player (m2·player) to replicate the locomotor match demands (m·min-1) using small-sided games across different age categories. Between-metric comparisons for ApP within the same age category (Panel A) and between-category comparisons for ApP within the same metric (Panel B) are shown. Data are reported as mean (SD).

TD: total distance; HSR: high-speed running; VHSR: very high-speed running; SPR: sprint; Acc/Dec: acceleration/deceleration.

For Panel A: aP < 0.05 vs TD; bP < 0.05 vs HSR; cP < 0.05 vs VHSR; dP < 0.05 vs SPR.

For Panel B: *P < 0.05 vs U19; #P < 0.05 vs U18; §P < 0.05 vs U17; °P < 0.05 vs U16.

As reported in Figure 3 (Panel B), between-category differences in ApP across the same metric were trivial to large (ES: 0.08 to 1.67) for TD, trivial to very large (ES: 0.19 to 2.51) for HSR, small to very large (ES: 0.30 to 2.67) for VHSR, trivial to moderate (ES: 0.01 to 1.10) for sprint and trivial to very large (ES: 0.12 to 3.75) for Acc/Dec.

Area per player to replicate official match demands using SSGs across positions

Figure 4 shows the minimal ApP to replicate match demands for TD, HSR, VHSR, sprint and Acc/Dec across different positions for each age category.

FIG. 4.

FIG. 4

Area per player (m2·player) to replicate the locomotor match demands using small-sided games for different age categories across different positions is shown. Total distance (Panel A), high-speed running (Panel B), very high-speed running (Panel C), sprint (Panel D) and acceleration/Deceleration (Panel E). Data are reported as mean (SD).

FW: forwards; WF: wide forwards; CM: central midfielders; WM: wide midfielders; CD: central defenders; WD: wide defenders.

*P < 0.05 vs FW; #P < 0.05 vs WF; §P < 0.05 vs CM; °P < 0.05 vs WM; ^P < 0.05 vs CD.

DISCUSSION

This study aimed to investigate the optimal ApP to mimic the physical match demands across youth teams and positions. The main finding was a detailed calculation of the ApP in SSGs necessary to replicate the TD, HSR, VHSR, sprint and Acc/Dec recorded during the official matches in youth elite soccer players from U15 to U19. A higher ApP increased TD, HSR, VHSR and sprint across each age category. Conversely, Acc/Dec showed only a small inverse correlation with ApP in U15, U17 and U19, while no effects of ApP on Acc/Dec for U16 and U18 were observed. Moreover, the higher the speed threshold was, the larger was the ApP required (i.e., sprint > VHSR > HSR > TD = Acc/Dec). Some between-category (i.e., U15 to U19) differences in ApP to overload official match demands within the same metric (i.e., TD, HSR, VHSR, sprint, Acc/Dec) were found, with U15 and U16 apparently requiring larger ApP. Lastly, the ApP to overload match demands for each position across different categories were provided. The current results highlighted that an individualized approach for each category and position is required to replicate the match demands in elite youth soccer players.

The total high-intensity running distance [18] is indicated as a key factor for success in soccer match performance in addition to the technical skills to maintain greater ball possession [19], the total distance covered with ball possession [20], and the tactical behaviours [21]. Within the weekly training routines, SSGs are predominantly used to elicit high-intensity running [4], as technical drills with or without ball possession [9], and to improve tactical behaviours [21]. Interestingly, SSGs were previously shown to lead to similar enhancement in aerobic fitness as high-intensity interval training running [22]. Therefore, conditioning through sport-specific drills can be a successful option to recreate soccer-specific contextual factors that are typically required during official match performance [3, 4]. The present findings showed that higher ApP increased locomotor demands in different categories from U15 to U19 across each metric, especially for HSR, VHSR, and sprint. This implied that larger ApP allowed for reaching higher locomotor loads, since more space was needed to reach high-speed running. Conversely, Acc/Dec showed only a small inverse correlation with ApP for U15, U17 and U19, while no effect of ApP on Acc/Dec was found for U16 and U18. Given the reduced space with smaller ApP, which required continuous accelerating and decelerating activities, a clear relationship was hard to find. The present results were in line with findings for elite adult Serie A soccer players [3]. An increment in the ApP used during SSGs is recommended when practitioners aim to increase the locomotor demands to condition youth soccer players properly.

The current study used a novel approach [3] to model a specific ApP to recreate the official match demands for TD, HSR, VHSR, sprint, and Acc/Dec in youth soccer players. The results showed that a larger ApP was necessary to recreate HSR (~182 m2·player), VHSR (~197 m2·player), and sprint (~212 m2·player) compared to TD (~158 m2·player) and Acc/Dec (~156 m2·player). Those data put emphasis on the ApP ~200 m2·player or more, necessary to replicate very high-intensity activities. In a similar elite academy population, it was previously reported that an ApP of ~300 to ~320 m2 × player was needed to induce internal/external load responses near to the individual maximal capacities [17] and/or to replicate the official match metabolic and cardiovascular responses [16]. Additionally, a tactical analysis during SSGs performed in U13 to U19 soccer players highlighted that interpersonal distances, team length and team width increased near to the match demands when incrementing the number of players (i.e., from 4 vs 4 to 8 vs 8) within the same ApP (i.e., ~320 m2 × player) [15]. However, the present findings for the first time provided a detailed ApP calculation to recreate locomotor demands using SSGs in youth soccer players. Comparing the results with adults, in French Ligue 1 soccer players, a minimal ApP ~311 m2 × player was indicated to replicate the high-speed running distance relative to official match demands [6]. Similarly, ApP ~316 m2 × player was shown to replicate the sprinting activities in Italian Serie A soccer players [3]. Additionally, playing SSGs in an ApP of ~320 m2 × player was also reported as useful to recreate the tactical variability for attacking exploration and defending organization [23]. Therefore, the ApP is a useful tool to condition the physiological responses [17], external load demands [3] and tactical behaviours [23] with regards to match demands both in youth and adult elite soccer players.

Current findings modelled an ApP of ~200 m2·player as optimal pitch dimensions to replicate physical match demands. This is slightly lower compared to the recommendations of previous studies [3, 6, 17]. The present youth elite soccer players may have different anthropometric, physiological and technical characteristics, as well as different coaching style and tactical behaviours that may underly a lower ApP (i.e. ~200 m2·player) than adult elite soccer players (i.e. ~300 m2·player). As such, for replication purposes an individualized approach is required due to the typical soccer-specific variability in athletes’ characteristics, coaches’ style of play, etc., possibly affecting ApP calculation. However, ApP of ~200 to ~300 m2·player is larger than ApP previously utilized for SSGs [4, 24]. As a mere example, two reviews on SSG demands reported a usual ApP of ~91 m2·player (i.e. ranging from ~25 to ~200 m2·player) [4] or ~93 m2·player (i.e. ranging from ~25 to ~273 m2·player) [24]. However, neither of those studies compared SSG demands with match requirements to suggest an optimal ApP. Therefore, despite soccer-specific intrinsic between-group variability, coaches and sport scientists could consider ~200 to ~300 m2·player to properly replicate very-high speed to sprint activities using SSGs when required.

Furthermore, the current findings indicated that a tailored ApP is necessary in U15 to U19 players to replicate the official match demands across the different metrics. Overall, larger ApP was needed to recreate more intense efforts in all categories. Interestingly, U15 was the only category that showed larger ApP to replicate VHSR than sprint, in contrast with the overall results. This could be possibly due to the fixed speed thresholds used in the current study, which were not based on the individual maximal sprint ability, as suggested to overcome such an issue [25]. It is indeed possible that the > 24 km·h-1 speed threshold for the sprint zone could be too high to accurately determine the distance covered in U15 soccer players. Overall, greater ApP is needed for each metric in U15 and U16 compared to the remaining age categories. Although surprising at first glance, it is possible that the older and possibly physically stronger players might need less space to reach the high-speed thresholds and enter the high-speed zones. When practising SSGs, coaches could thus manipulate the ApP depending on the purposes of each session [3]. Remarkably, since the average match demands could fail to fully account for the actual peak demands [7, 9] and the distribution of the maximal intensities [8] that occur during official matches, SSGs may be used to recreate the most demanding passages of match play across different time durations, with or without ball possession as previously reported [3, 9].

The present findings also showed different ApP across playing positions within the same age category. The lack of consistency in the between-position differences in ApP across the age categories suggests that an individualized approach is necessary. As such, a first suggestion might be to group the players by position when practising SSGs. However, this does not recreate the contextual factors characterizing the matches given the homogeneous tactical characteristics of the players involved. Therefore, together with the traditional SSG format involving more positions simultaneously, additional positional SSG drills and/or running-based exercises may be included. For example, adjunctive high-intensity activities (e.g., sprinting-based exercises) during or after SSGs can be utilized to overload some positions and/or individual players, when necessary.

The present study has some limitations. Firstly, the internal load parameters (e.g. heart rate) and the rate of perceived exertion were not examined, and we acknowledge that should be coupled with the external load metrics to describe accurately the match demands. However, some technological limitations (e.g., the use of portable thoracic bands especially during official matches) or some contextual limitations (e.g., athletes buy-in to collect rate of perceived exertion after each SSG format) can affect the possibilities to monitor consistently both the internal and perceived load for the aim of the present study. Secondly, individualizing the speed thresholds (based on individual maximal sprint ability) and/or increasing sample size for each position may help to further improve the understanding of the between-category and between-position differences. Thirdly, the maturity status can affect the physical and anthropometric characteristics of youth soccer players within the same age category and should be taken into account [26]. Lastly, for replication purposes an individualized approach is required due to the typical soccer-specific variability (athletes’ characteristics, coaches’ style of play, etc.) possibly affecting ApP calculation.

The present findings have a number of practical applications. In the first instance, the specific ApP can be used in SSGs to replicate, underload or overload the match demands in youth soccer players, as also previously suggested for elite adults players [3]. Having established that larger ApP led to higher locomotor demands, a minimum of ~200 m2 × player seemed to be required to properly stimulate the high-speed activities in youth players. For this purpose, coaches could modify the number of players and/or the pitch size during SSGs to focus on specific metrics. However, since smaller ApP are used in practice to stimulate technical activities (e.g., ball touches, shots, crosses), additional rules and/or supplementary exercises such as running-based exercises individualized on the cardiorespiratory and metabolic capacity [27, 28] and/or soccer-specific drills to overload the most demanding phases of match play [9] properly based on the distribution of match activities [8] may be recommended. Moreover, younger players (i.e., U15 and U16) appear to require larger ApP for each metric, probably due to an incomplete maturity status that precludes them from greater acceleration capacity to reach high-speed zones in a larger space. Additionally, the inconsistency in positional differences suggested that different positions may be overload or underload within the same ApP. Therefore, some positions may need supplementary activities. Lastly, it should be remarked that soccer-specific drills only may not sufficiently prepare players for the match demands [29]. This may be due to the individual capacity that may exceed the actual stimuli received for some positions (e.g., central defenders). As such, individual physiological (e.g., hear rate) and psychophysiological (e.g., rate of perceived exertion) responses should be collected together with the external load metrics [1]. In case of an insufficient stimulus, submaximal and/or maximal individual-based exercises should be included [30].

Practical Applications

Larger ApP should be used to increase TD, HSR, VHSR and sprint, while Acc/Dec is less affected by ApP manipulation.

A minimum of ~200 m2 × player seems necessary to properly stimulate the high speed and sprint activities in youth players.

The younger players (i.e., U15 and U16) appear to require larger ApP (~230 m2 × player) due to possibly lower acceleration capacity (i.e. lower maturity status).

When a specific large ApP is not feasible, supplementary training prescriptions using SSGs with adjunctive rules, running-based exercises and/or positional drills seem to be required to effectively overload each player.

CONCLUSIONS

In conclusion, the present study showed positive correlations between ApP and the external load metrics in youth elite soccer players from U15 to U19. With the exception of Acc/Dec, greater ApP induced higher locomotor demands for TD, HSR, VHSR and sprint. A minimal ApP during SSGs to replicate or overload the match demands for each metric was suggested. Moreover, greater ApP is needed for each metrics in U15 and U16 compared to the other age categories. These findings may help practitioners to recreate the desired external load outcomes with regards to positional match-play demands using specific area per player in small- or large-sided games in youth elite soccer players from U15 to U19.

Acknowledgements

The authors wish to thank all the participants of the study for their committed effort

Conflict of interest declaration

The authors declare no conflict of interest

SUPPLEMENTARY MATERIAL

Title: Small-sided games in elite youth soccer: area per player to replicate the match demands

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