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Purpose: The purpose of this study was to investigate the influence of the soccer pitch area during small-sided games (SSG) in prepubertal children on physiological and technical demands, and to compare them, for the physiological demands, to high-intensity interval training (HIIT). Methods: Ten young soccer players (13.0 [0.3] y) performed a HIIT and 3 SSG of various field sizes (30 × 20 m, 42 × 38 m, and 51 × 34 m). Each SSG was performed with 5 players per team, during 4 × 4-minutes interspaced with 1 minute of passive recovery in between. HIIT also followed a 4 × 4-minute protocol with running speed set on an individual basis. Heart rate (HR) was continuously monitored during training sessions. For each exercise modality, time spent above 90% of HRmax (T≥90%,HRmax) was calculated, and technical actions were quantified during SSG by video analysis. Results: T≥90%,HRmax was similar between the 3 SSG (∼587 [276] s; P > .2) but 24% to 37% lower than during HIIT (826 [140] s, P < .05). Coefficients of variations in T≥90%,HRmax were 2.3 to 3.5 times larger in SSG compared with HIIT. For technical actions, greater number of possessions (21 [6] vs ∼14 [4]), and lower ball touches per possession (2.4 [0.6] vs ∼2.9 [0.6]) were found in the small SSG compared with larger SSG, respectively (P < .05). Conclusion: The 3 SSG led to lower acute stimulation of the aerobic metabolism, suggesting a lower potential for chronic aerobic adaptations, compared with HIIT. Moreover, interindividual variability in the physiological response was substantially greater in SSG compared with HIIT, indicating increased heterogeneity among players performing the same training protocol.
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Small-Sided Games Are Not as Effective as Intermittent Running
to Stimulate Aerobic Metabolism in Prepubertal Soccer Players
Anasthase Massamba, Stéphane P. Dufour, Fabrice Favret, and Thomas J. Hureau
Purpose:The purpose of this study was to investigate the inuence of the soccer pitch area during small-sided games (SSG) in
prepubertal children on physiological and technical demands, and to compare them, for the physiological demands, to high-
intensity interval training (HIIT). Methods:Ten young soccer players (13.0 [0.3] y) performed a HIIT and 3 SSG of various eld
sizes (30 ×20 m, 42 ×38 m, and 51 ×34 m). Each SSG was performed with 5 players per team, during 4 ×4-minutes interspaced
with 1 minute of passive recovery in between. HIIT also followed a 4 ×4-minute protocol with running speed set on an individual
basis. Heart rate (HR) was continuously monitored during training sessions. For each exercise modality, time spent above 90% of
HR
max
(T
90%,HRmax
) was calculated, and technical actions were quantied during SSG by video analysis. Results:T
90%,HRmax
was similar between the 3 SSG (587 [276] s; P>.2) but 24% to 37% lower than during HIIT (826 [140] s, P<.05). Coefcients
of variations in T
90%,HRmax
were 2.3 to 3.5 times larger in SSG compared with HIIT. For technical actions, greater number
of possessions (21 [6] vs 14 [4]), and lower ball touches per possession (2.4 [0.6] vs 2.9 [0.6]) were found in the small SSG
compared with larger SSG, respectively (P<.05). Conclusion:The 3 SSG led to lower acute stimulation of the aerobic
metabolism, suggesting a lower potential for chronic aerobic adaptations, compared with HIIT. Moreover, interindividual
variability in the physiological response was substantially greater in SSG compared with HIIT, indicating increased
heterogeneity among players performing the same training protocol.
Keywords:aerobic capacity, endurance exercise performance, football, high-intensity interval training, young soccer athletes
While soccer performance is multifactorial,
1
suggesting that
time is needed to develop every required technical skill or physical
quality, games frequency rises, leading to reduction in training
sessions (ie, time). In this context, small-sided games (SSG),
characterized by modied games played on reduced pitch areas
and often using adapted rules involving a smaller number of
players compared with traditional games,
2
is an attractive exercise
modality to simultaneously develop endurance capacity and tech-
nical soccer skills.
3
Indeed, as SSG are performed with the ball
and require dribbling, passing, and shooting, they are thought to
stimulate technical aspects.
4,5
In terms of physical demand, SSG
may be an effective training mode to enhance aerobic tness,
6
which plays a pivotal role in soccer. For example, it was found that
signicant improvements in maximal oxygen uptake ( ˙
VO2max) led
to a higher number of sprints per game and a higher distance
covered during competitive match play in elite junior players.
7
Endurance aerobic intensity is often assessed using heart rate
(HR) during training sessions, based on the linear relationship
between HR and ˙
VO2.
8
However, studies investigating the acute
inuence of SSG on aerobic tness often reported the mean HR
throughout the session,
6,9
which does not provide accurate indica-
tions for potential improvements in ˙
VO2max. Instead, the time
spent at or above 90% ˙
VO2max has been identied as a key
indicator for aerobic adaptations,
7,10,11
but is almost absent from
SSG scientic literature with only few exceptions.
2,12
Importantly,
it is possible to observe similar mean HR for 2 training sessions
while the time spent at or above 90% (T
90%,HRmax
) would be
drastically different. It is therefore crucial to assess aerobic inten-
sity using the T
90%,HRmax
.
During SSG, a wide range of parameters inuence the physio-
logical demand, such as the number of players, the rules, or the
pitch area.
2
More specically, the bigger is the pitch area, the
higher is the aerobic contribution in adult players.
13
However, it
is also important to compare these physiological demands to
high-intensity interval training (HIIT), established as the gold-
standard,most effective method to improve aerobic metabolism
(ie, ˙
VO2max).
14
HIIT is characterized by repeated bouts of high-
intensity work performed above the lactate threshold, interspersed
by periods of low-intensity exercise or complete rest.
15
The major
difference between HIIT and SSG in terms of physiological stress
is that HIIT is set on an individual basis (ie, running distance/speed
calculated for each player to reach a targeted HR) while it is not for
SSG, meaning that training intensity is more difcult to control.
Therefore, it would be insightful to investigate both the intensity
and the interindividual variability of the physiological response
when comparing HIIT and SSG.
Previous studies found that SSG HR responses were similar to
HIIT in adults.
16
However, data are missing, using the above-
mentioned methodology, in prepubertal players. While SSG are
already widely utilized in elite soccer academies to develop aerobic
capacity in young players, it is important to emphasize that results
found for adults may not be translated into prepubertal children
characterized by substantial differences in their physiology due to
their immature system.
17
Of note, aerobic metabolism of prepu-
bertal children seems close to well-trained adult endurance athletes
for several aspects,
17
strengthening the idea that they likely need to
be exposed to a high-intensity exercise to get signicant ˙
VO2max
improvements. Then, if SSG are often preferred by coaches for the
development of young players because they are undeniably more
Massamba, Dufour, Favret, and Hureau are with the Faculty of Medicine, Mito-
chondria, Oxidative Stress and Muscular Protection Laboratory (EA 3072), and the
Faculty of Sport Sciences, European Center for Education, Research and Innovation
in Exercise Physiology (CEERIPE), University of Strasbourg, Strasbourg, France.
Massamba is with the Racing Club de Strasbourg Alsace, Strasbourg, France.
Hureau (t.hureau@unistra.fr) is corresponding author.
1
International Journal of Sports Physiology and Performance, (Ahead of Print)
https://doi.org/10.1123/ijspp.2019-0966
© 2020 Human Kinetics, Inc. ORIGINAL INVESTIGATION
soccer specic
18
and also more enjoyable by players,
9
it is still
critical to assess their efcacy compared with HIIT to provide
insights for coaches interested in ne-tuning physical/technical
stimuli for their training programs.
The purpose of the present study was to investigate the
inuence of the soccer pitch area during SSG in prepubertal
children on physiological and technical demands, and to compare
them, for the physiological demands, to HIIT. We hypothesized
that larger SSG would lead to greater physiological demand
(ie, time spent at high intensity), while reducing technical demand
(ie, less passes, more ball touches per possession), compared with a
smaller SSG, in prepubertal players. Moreover, we hypothesized
that SSG would lead to reduced time spent at high intensity as well
as larger interindividual variability in the HR response compared
with HIIT sessions.
Methods
Participants
Ten boys from the academy of an elite French soccer team took part
in the present study (age 13.0 [0.3] y; height 152 [8] cm; weight 41
[7] kg). Mean age from peak height velocity was calculated (1.5
[0.6] y) using a validated, noninvasive method based on anthropo-
metric variables to assess players maturity.
19
Participants practiced
2 to 3 training sessions per week and played 1 game of 80 minutes
per week on a regular-sized soccer pitch (60 ×100 m) with the rules
of 11-a-side football. Written informed consent was obtained from
each participant prior to the beginning of the study. The study was
approved by the local ethics committee and conducted according to
the Declaration of Helsinki for human experimentation.
Experimental Protocol
Study participation included 5 visits, each separated by 3 to 7 days,
and were performed at the same time on each day. During the rst
session, participants performed a maximal incremental test to
determine their individual speed for the subsequent HIIT session.
Then, on 4 different sessions, participants performed 3 SSG with
various pitch areas and 1 HIIT session, following the same exercise
pattern (4 ×4 min interspersed with 1 min of passive recovery).
Maximal Incremental Test
Participants performed the 30-15
IFT
maximal incremental exercise
test
20
on a turf soccer pitch to determine their end-test speed (S
peak
)
and maximal HR (HR
max
). The test (30-s run and 15-s rest) started at
8.0 km·h
1
and speed was increased by 0.5 km·h
1
every 45 second.
HR was continuously measured during testing using HR monitors
(Polar Team
2
; Polar Electro Oy, Kempele, Finland). For each
subject, individual HR
max
was collected and 90% and 95% of HR
max
were calculated. ˙
VO2max was estimated using the following
equation
21
:
˙
VO2max mL · min1·kg
1=28.3 2.15 ×G0.741 ×A0.0357
×BM þ0.0586 ×A×Speak þ1.03 ×Speak
where G is the gender (female = 2 and male = 1), A is the age (years),
BM is the body mass (in kilogram) of the participant, and S
peak
is the
end-test speed of the 30-15
IFT
maximal incremental test.
Small-Sided Games
The 3 SSG were performed on a natural turf surface with 5 players
per team with small (SSG
Sm
), medium (SSG
Md
), and large (SSG
Lg
)
pitch areas of similar length ×width proportions (Table 1). Com-
pared with SSG
Sm
,
16,22,23
playing area was doubled (SSG
Md
) and
tripled (SSG
Lg
) to presumably promote T
90%,HRmax
,
21,23
to give
the opportunity of SSG to reach, or surpass, HIIT intensity. Each
SSG followed the same exercise pattern, with 4 ×4 minute playing
bouts interspersed with 1 minute of passive recovery, for a total
duration of 20 minutes. Players had to stop the ball with their foot
backside to the limits of the pitch to score while the number of ball
touches per possession was free. Several balls were placed all
around the pitch to ensure fast throw-in when the ball went out of
play. Uniform verbal encouragements were given to all participants
by the teamstness coach throughout the sessions. Time spent at
high intensity from the HR response were calculated (ie, T
90%,
HRmax
and T
95%,HRmax
) for each SSG.
Each game has been lmed using a full high-denition camera
(DH-SD22404T-GN; Dahua Technology, Binjiang, China) located
on an extendable mast (height 7.30 m) to assess technical actions
during SSG. Three categories of technical actions were analyzed
for each player, namely number of passes, dribbles, and posses-
sions.
24
Video analysis was conducted using LongoMatch (version
3.1.7; Fluendo SA, Barcelona, Spain).
High-Intensity Interval Training
Similar to SSG, participants performed 4 sets of 4 minutes of exercise
interspersed with 1 minute of passive recovery during the HIIT
session. Each set consisted of 30-second running intervals at 100% of
the participants individual S
peak
interspersed with 30 seconds of
passive recovery. Of note, the 30- to 30-second intermittent exercise
has been described as a training modality maximizing the time spent
at high intensity.
25
HIIT was performed in shuttle with one 180°
change of direction. HR was recorded throughout the session.
Statistical Analysis
Normality of all dependent variables and sphericity of variance of
the distribution were assessed using the KolmogorovSmirnov test
Table 1 Characteristics of the 3 SSG
Number
of players
Pitch
dimensions, m
Pitch
area, m
2
Work/rest ratio,
min
Number
of sets
Total duration,
min
SSG
Sm
5vs5 30×20 600 4/1 4 20
SSG
Md
5vs5 42×28 1176 4/1 4 20
SSG
Lg
5vs5 51×34 1734 4/1 4 20
Abbreviations: SSG, small-sided games; SSG
Sm
, small SSG; SSG
Md
, medium SSG; SSG
Lg
, large SSG. Note that SSG were matched for length ×width proportions despite
changes in the pitch area.
(Ahead of Print)
2Massamba et al
and the Mauchly test, respectively. A GreenhouseGeisser correc-
tion was used when sphericity was violated. One-way analysis of
variances were used to test differences between each training
modality (SSG
Sm
, SSG
Md
, SSG
Lg
, and HIIT) in physiological
and technical responses. When a signicant difference was identi-
ed, multiple-comparison analysis was performed using Fisher
least signicant difference test. Between-subjects coefcients of
variation were calculated for T
90%,HRmax
and T
95%,HRmax
to
evaluate differences in interindividual variability between training
sessions. Statistical analyses were conducted using Statistica (ver-
sion 8.0; StatSoft Inc, Tulsa, OK). The relationship between S
peak
and T
90%,HRmax
, during the 3 SSG were tested by calculating
Pearson correlation coefcients (r
2
). Data presented are expressed
as mean (SD). Statistical signicance was set at P<.05.
Results
Maximal Incremental Test
The S
peak
observed at end test was 19.5 (0.8) km·h
1
, and HR
max
was 202 (4) beats per minute. Estimated ˙
VO2max
21
was 50.0
(0.8) mL·min
1
·kg
1
.
Cardiac Responses to SSG and HIIT
Intensity of the Response. As illustrated in Figure 1A,T
90%,
HRmax
was 24% to 37% greater in HIIT (826 [140] s) compared with
SSG
Sm
(613 [244] s, P= .02), SSG
Md
(628 [278] s, P= .03), and
SSG
Lg
(519 [307] s, P= .001). T
90%,HRmax
was similar between
the 3 SSG. T
95%,HRmax
(Figure 1B) was 32% to 61% greater in
HIIT (387 [235] s) compared with SSG
Sm
(150 [159] s, P= .01)
and SSG
Lg
(218 [275] s, P= .04), but not different compared with
SSG
Md
(264 [271] s, P= .13). T
95%,HRmax
was similar between the
3 SSG. Average relative intensity was similar between the 3 SSG
(SSG
Sm
, 85% [4%] HR
max
; SSG
Md
, 87% [4%] HR
max
; and SSG
Lg
,
85% [5%] HR
max
). Average relative intensity during HIIT (90%
[3%] HR
max
) was greater than during SSG
Sm
(P= .01) and SSG
Lg
(P= .002), but not different compared with SSG
Md
(P= .13).
Interindividual Variability of the Response. As illustrated in
Figure 1C, coefcients of variations in T
90%,HRmax
were 2.3 to
3.5 times larger in SSG compared with HIIT. For T
95%,HRmax
(Figure 1D), coefcients of variations were 1.7 to 2.1 times larger
in SSG compared with HIIT. Figure 2illustrates this interindividual
variability in the HR response via the comparison of 2 representa-
tive subjects. While the 2 subjects spent substantial and similar
T
90%,HRmax
during HIIT (900 s for both; Figure 2D2H), for
SSG, subject 2 spent 71% to 89% less T
90%,HRmax
compared
with subject 1. Therefore, subject 2 spent 77% to 82% less T
90%,
HRmax
during SSG compared with HIIT. Importantly, if subject 1
spent substantial T
90%,HRmax
during the 3 SSG, T
90%,HRmax
was
still 5% to 30% lower than during HIIT. This result is even more
demonstrative for T
95%,HRmax
, where subject 2 spent absolutely no
time at or above 95% HR
max
in any SSG (0 s), while subject 1 did
(219 s in SSG
Sm
, 527 s in SSG
Md
, and 572 s in SSG
Lg
). Here again,
for HIIT, the 2 subjects spent similar T
95%,HRmax
(524 vs 493 s for
subject 1 vs subject 2, respectively). No correlations were found
between S
peak
and T
90%,HRmax
(SSG
Sm
,r
2
= .11, P= .76; SSG
Md
,
r
2
= .34, P= .33; SSG
Lg
,r
2
= .54; P= .11). Moreover, no correla-
tions were found between S
peak
and T
95%,HRmax
(SSG
Sm
,r
2
= .18,
P= .22; SSG
Md
,r
2
= .10, P= .37; SSG
Lg
,r
2
= .25; P= .14).
Technical Demand During SSG With Various
Pitch Areas
As shown in Figure 3, number of passes (13 [7], P= .16), number
of possessions (14 [4], P= .46), and number of ball touches per
possession (2.9 [0.6]; P= .73) were similar between SSG
Md
and
SSG
Lg
. However, greater number of possessions (+41% and
+57%, P= .01 and .001) and lower number of ball touches per
possession (14% and 29%, P= .03 and .01) were found in
SSG
Sm
compared with SSG
Md
and SSG
Lg
, respectively. A 63%
Figure 1 Time spent above 90% (A) and above 95% (B) of HR
max
during SSG and HIIT and their associated coefcients of variation (C and D).
Data are presented as mean ± SEM. HR
max
indicates maximum heart rate; HIIT, high-intensity interval training; SSG, small-sided games. *P<.05
versus HIIT.
(Ahead of Print)
Small-Sided Games in Prepubertal Players 3
greater number of passes was found in SSG
Sm
compared with
SSG
Lg
(P= .03). No difference was found between the 3 SSG for
the number of dribbles.
Discussion
The aim of the present study was to investigate the inuence of the
soccer pitch area during SSG in prepubertal soccer players on
physiological and technical demands. As HIIT is established as the
gold-standardmethod to improve aerobic metabolism,
26
we also
compared acute physiological responses to SSG with those from a
HIIT session. The physiological demand (T
90%,HRmax
) was similar
between the 3 SSG modalities while the technical demand was
increased in SSG
Sm
compared with SSG
Md
and SSG
Lg
, as evi-
denced by signicant differences in the number of passes and
possessions per session. However, the 3 SSG led to 24% to 37%
reduction in T
90%,HRmax
compared with HIIT, indicating a lower
aerobic stimulus (ie, acute response), and suggesting a lower
training effect on endurance capacity (ie, chronic adaptations).
Moreover, interindividual variability in the HR response was 2.3 to
3.5 times greater in SSG compared with HIIT, indicating increased
heterogeneity among players performing the same training protocol.
Together, these ndings indicate that HIIT is more effective than
SSG to stimulate aerobic metabolism in prepubertal soccer players
and might be interesting to consider for training sessions where the
primary outcome is the development of endurance capacity.
Implication of the Aerobic Metabolism During SSG
Versus HIIT
In the present study, modications of the pitch area from 600 to
1734 m
2
led to unchanged physiological demand during SSG in
prepubertal soccer players, based on the T
90%,HRmax
or T
95%,HRmax
.
This result is supported by a study reporting no change in T
90%,
Figure 2 Heart-rate responses during SSG
Sm
(A and E), SG
Md
(B and F), SSG
Lg
(C and G), and HIIT (D and H), for 2 representative subjects. The 2
subjects spent substantial T
90%,HRmax
during HIIT (900 s for both). However, for SSG, only subject 1 spent substantial T
90%,HRmax
(632863 s) while
subject 2 did not (69208 s, ie, 71%89% less time than during HIIT). A similar observation can be made for the T
95%,HRmax
between subjects 1 and 2
(SSG
Sm
, 219 vs 0 s; SSG
Md
, 527 vs 0 s; SSG
Lg
, 572 vs 0 s; HIIT, 524 vs 493 s, respectively). HR
max
indicates maximum heart rate; HIIT, high-intensity
interval training SSG indicates small-sided games; SSG
Sm
, small SSG; SSG
Md
, medium SSG; SSG
Lg
, large SSG.
(Ahead of Print)
4Massamba et al
HRmax
during SSG from different dimensions.
22
However, this study,
also performed in prepubertal players, did not compare SSG with
HIIT, making it difcult to ascertain whether SSG is as effective as
HIIT to stimulate the aerobic metabolism. It is also important to note
that participants spent 20% of the training session above 90% of
HR
max
(ie, 4.8 min).
22
Moreover, studies investigating the acute
inuence of SSG on endurance capacity often reported the mean HR
throughout the session,
13,27
which does not provide accurate indica-
tions for potential improvements in ˙
VO2max.Instead,T
90%,HRmax
has
been identied as a key indicator.
7,10
Thepresentstudyrevealedthat
SSG led to signicantly lower T
90%,HRmax
, whatever the pitch area,
compared with iso-time HIIT, indicating a lower stimulation of the
aerobic metabolism during SSG versus HIIT. This observation is
consistent with others
28
but not all SSG studies
6
investigating its
acute physiological demand in prepubertal children.
It is important to emphasize that this acute study provides direct
evidence of the HR activation, and indirect evidence on the potential
of each training modality to improve endurance capacity following
a training cycle (ie, chronic adaptations). Indeed, training studies
are requisite to directly assess the potential of a training modality to
develop ˙
VO2max. Interestingly, studies that compared chronic effects
on ˙
VO2max of SSG versus HIIT in young soccer players report either
similar
29
or greater
30
improvements for HIIT. Of note, a recent meta-
analysis
31
based on training studies found that HIIT and SSG can
provide similar benets on endurance and soccer-specic perfor-
mance. However, this conclusion is based on studies performed on
older adolescents (mean age: 16 y old) than the present investigation.
Regardless, it appears that training should include at least 4 sets of
4 minutes each interspersed with 3 minutes of recovery betweensets
to maximize endurance capacity through SSG in young players.
32
Alternatively, it is also possible to prescribe a combination of HIIT
and SSG, which has been found to better develop endurance capacity
than SSG alone in young players.
18
Variability of the Aerobic Metabolism Response
During SSG Versus HIIT
Interindividual variability in the HR response was 2.3 to 3.5 times
greater in SSG compared with HIIT, indicating larger hetero-
geneity among players getting the same training protocol during
SSG compared with HIIT. This result, consistent with a previous
investigation performed in professional adult players,
33
may not be
surprising and is likely explained by the level of control of each
training modality. Indeed, HIIT was individually ne tuned based
on the players endurance capacity (ie, run speed set at 100% of
their S
peak
). Conversely, SSG is unpredictable in format and
training intensity is therefore difcult to control.
32
This observation
likely explains why 2 participants can get similar substantial T
90%,
HRmax
during HIIT but drastic differences during SSG (Figure 2).
The present investigation also sought to provide insights on the
individual characteristics leading to small T
90%,HRmax
during
SSG. We found no correlation between S
peak
and T
90%,HRmax
,
indicating that the players with highest endurance capacity did not
get specically the lowest aerobic stimulus during SSG. While
outside the scope of the present investigation, we can speculate that
factors related to individual technical/tactical skills and displace-
ment efciency might explain why some players are not getting a
large aerobic stimulus when other teammates are.
34
Further inter-
ventions are needed to test this hypothesis.
Inuence of the Pitch Size on the Technical Actions
During SSG
Technical skills are fundamental for children to develop, and the
idea of performing SSG is to stimulate endurance capacity while
also including technical actions. Therefore, while our 3 SSG with
different pitch sizes were similar in terms of physiological demand,
potential differences in the number of technical actions might be
insightful to determine the most interesting modality. Interestingly,
our results showed that SSG
Sm
led to an increase in the number of
passes and possessions, and a reduction in the number of touches
per ball possession compared with SSG
Md
and SSG
Lg
(Figure 3).
This is explained by the higher spatio-temporal pressure during
SSG
Sm
because of the greater playersdensity
5
and is consistent
with other studies performed on adult players showing greater
technical demand with smaller pitches.
24,35
Therefore, SSG
Sm
might be the most interesting modality to stimulate technical skills
without compromising the physiological demand compared with
SSG
Md
and SSG
Lg
.
In contrast to HIIT, the soccer-specic approach of SSG favors
technical and tactical skills
36
as well as multifaceted physical
actions such as changes of direction or jumps.
37
Moreover, SSG
is more enjoyable than HIIT for young players,
9
which is also a
criterion to consider for coaches when programming training
contents.
Practical Applications
Based on the present investigation, it appears that SSG are not as
efcient as HIIT to stimulate aerobic metabolism in prepubertal
soccer players. Therefore, we would suggest promoting HIIT if the
development of endurance capacity is the primary focus, as the
training intensity is set on an individual basis and therefore easy to
control. In contrast, SSG is unpredictable in format and therefore
difcult to control and might be preferred when the technical
component is important. In this context, we suggest prescribing
SSG with small pitch areas, as they are technically more challeng-
ing for the players and do not compromise the physiological
demand compared with larger SSG. Then, the combination of
both HIIT and SSG in training programs
3
might be a great strategy
for the multifaceted development of the young soccer player.
Regardless, we recommend to coaches to assess the aerobic
Figure 3 Number of technical actions performed per player during
each of the 3 SSG. Data are presented as mean ± SEM. *P<.05 versus
SSG
Lg
.**P<.05 versus SSG
Md
. SSG indicates small-sided games;
SSGSm, small SSG; SSG
Md
, medium SSG; SSG
Lg
, large SSG.
(Ahead of Print)
Small-Sided Games in Prepubertal Players 5
contribution of their SSG sessions with HR monitors by (1) using
T
90%,HRmax
and not only the mean HR, and (2) to analyze and
validate their efcacy on an individual basis due to their large
interindividual variability.
Conclusion
The 3 SSG led to lower acute stimulation of the aerobic metabolism,
suggesting a reduced training effect on the players endurance
capacity, compared with HIIT. Moreover, interindividual variability
in the physiological response was substantially greater in SSG
compared with HIIT, indicating increased heterogeneity among
players performing the same training protocol. Based on these
observations, we suggest prescribing HIIT, and not only SSG, in
prepubertal soccer players from elite soccer academies if the primary
focus is the development of endurance capacity ( ˙
VO2max). If the
development of the technical soccer skills is also targeted, we
suggest prescribing SSG with small pitch areas, as they are techni-
cally more challenging for the players without compromising the
physiological demand compared with larger SSG.
Acknowledgments
We acknowledge the valuable assistance of Mr Erwan Pondaven (strength
and conditioning coach) and Mr Samir Guendouz (video analyst) during
the study.
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Small-Sided Games in Prepubertal Players 7
... Therefore, we observe a tendency to leave out traditional race-based conditional exercises (interval-training and continuous training) during a soccer training session [18]. However, older and newer research [19,20] suggests that SSGs themselves may not be sufficient to promote the same standards of physical demands required during a soccer match, mainly due to the reduced frequency of based metrics in the high-intensity distance of this type of training approach [21,22]. ...
... One of the justifications is that this specific training model improves the aerobic level of athletes in conjunction with the technical part of the game. Contrary to this thought, some researchers [19,20] have shown in adults and young players that this training modality does not fully meet the adequate energy expenditure for the cardiorespiratory and metabolic compensation of athletes. It is believed that the specificity of training with a ball in a reduced pitch (SSGs), with variations of players in groups, e.g. ...
... Recently, the study by Massamba et al. [20] compared high-intensity interval training (HIIT) with ball exercises in a reduced pitch (SSG). The physiological response was more efficient in the athletes who performed the HIIT than the three SSG in various field sizes. ...
Article
Full-text available
weeks of training after completion of preparatory training in four preseasons on the aerobic power of soccer players before the start of the competitive season. The main source of energy for the recovery processes during the match is provided by aerobic metabolism, with an average percentage fraction of utilization of the maximum oxygen uptake (VȮ 2 max) around 70%-80% during the match. An elite player repeats 150 to 250 short, intense actions during a game, several sprints, and 1.9-2.4 km distance at high-intensity exercise indicating that mainly phosphocreatine (PCr) and anaerobic glycolysis usage rates are often high during a game, which is supported by findings of reduced levels of PCr muscle and increases in blood and muscle lactate concentrations several times. Under these conditions, aerobic metabolism has the very important mission of restoring the rapid energy production pathways. A total of 211 soccer athletes (age range,
... Running-based HIIT is a primary and highly effective method of training that is commonly used to enhance the cardiorespiratory and metabolic function of soccer players [8]. By engaging in running-based HIIT interventions, athletes can build their resilience to high-intensity activities; and previous studies have demonstrated its effectiveness in improving both aerobic and anaerobic metabolic pathways [1,9]. Running-based HIIT interventions are typically performed by intensities de ned as a proportion of velocity/power associated with maximum oxygen uptake (v/pVȮ 2max ), anaerobic speed reserve, or all-out sprint training which is divided into either short (3-10 s repeated sprinting, or long duration sprints (20-30 s), the latter termed sprint interval training [7]. ...
... The ndings of the study revealed that all three interventions had a positive small to large impact on the Yo-Yo IR1, VȮ 2max , VȮ 2 /HR, VT 1 , VT 2 , PPO and APO performance in soccer players, which is in accordance with previous research that reported positive effects of interval training in enhancing cardiorespiratory and anaerobic power in soccer players [2,3,5,8,9,10]. Enhanced cardiorespiratory tness could be attributed to increased central (oxygen delivery) or peripheral (extract and utilization of oxygen by the active muscles) components of aerobic tness [7,18]. Elevated aerobic tness in our participants could in part be ampli ed by the central component that is veri ed by elevated O 2 pulse (VȮ 2 /HR) [33,34,35]. ...
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This study compared the inter-individual variability in adaptive responses of hormonal, physiological, and physical performance measures to various forms of high-intensity interval interventions in collegiate soccer players. Forty male players participated in this study and were randomly assigned to traditional running-based sprint interval training (SIT), small-sided games (SSGs), short sprint interval training (SSIT), and a control group (CON), each of 10. Before and after training period, hormonal (testosterone and cortisol), physiological (maximum oxygen uptake [V̇O 2max ], V̇O 2 /HR, first and second ventilatory threshold [VT 1 and VT 2 ], peak and average power output [PPO and APO]), and performance (Yo-Yo IR1, countermovement vertical jump, 20-m sprint, L-run, and maximal kicking distance [MKD]) variables were measured. Analyzing individual responses revealed significantly greater adaptive responses of Yo-Yo IR1, VT 2 , and cortisol levels (p < 0.05), as well as lower residuals in changes in Yo-Yo IR1, VO 2max , VT 1 and VT 2 , and PPO to SSIT compared to SIT and SSGs (p < 0.05). By contrast, the SSGs group resulted in greater adaptations (p = 0.002) in MKD than the SIT and SSIT. By diminishing inter-individual variability in adaptive responses, SSIT results in more homogenous adaptations in measures of cardiorespiratory fitness, hormonal adaptations and sport-specific performance than SIT and SSGs.
... Based on the research results summarized in table 2 above, there are two articles that examine the impact of SSG on body composition and physical condition of soccer players[20] [21], six articles examine physiological and physical aspects of players[22] [23][24] [25][26] ...
... This affirms the efficacy of SSIT in pH regulation through shorter rest intervals between trials, resulting in greater adaptations in aerobic metabolic conditioning (Brooks and Mercier, 1994). Incorporating high-intensity tasks during SSIT with lower rest intervals led to prolonged exhaustion and exertion while surpassing the lactate threshold (Massamba et al., 2021). This particular training approach (i.e., SSIT) with shorter rest intervals is tailored to meet individual requirements, promote maximal effort, and induce physiological stress, consequently enhancing aerobic capacity as measured by V O 2max and Yo-Yo IR1 in young male soccer players. ...
Article
Present study aimed to compare the effects of SSIT intervention with varying rest distributions on hormonal, physiological, and performance adaptations in soccer players. Thirty-six players were randomly divided into three SSIT groups, each performing 4 sets of 6-10 repetitions of 6-second all-out running with rest intervals at ratios of 1:3, 1:6, and 1:9. Prior to and following the 7-week training period, aerobic fitness indices and anaerobic power were evaluated using a graded exercise test with a gas collection system and a lower-body Wingate test, respectively. Also, sport-specific bio-motor abilities were determined by measuring vertical jump, 20-m sprint, and T-test change of direction speed, Yo-Yo IR1 and maximal kicking distance. Hormonal status was also monitored by evaluating testosterone and cortisol levels. Following the 7-week training period, all SSIT interventions resulted in significant enhancements (p < 0.05) in soccer-related performance, physiological parameters, and hormonal adaptations, exhibiting effect sizes that ranged from small to large. Comparative analysis indicated that the 1:9 SSIT results in greater adaptive responses (p < 0.05) in the vertical jump, peak power, testosterone, and cortisol compared to the 1:3 SSIT group. By contrast, the 1:3 SSIT group induced more adaptive responses (p < 0.05) in the mean power output, maximum oxygen consumption (V̇O2max), and Yo-Yo IR1 compared to the 1:9 SSIT group. Hence, for enhancing physical performance, especially vertical jump height, anaerobic peak power, and hormonal adaptations, the 1:9 SSIT ratio is preferable. Conversely, shorter rest intervals (specifically, the 1:3 SSIT ratio) are better suited for eliciting heightened adaptive responses in mean power output, V̇O2max, and Yo-Yo IR1 over the 7-week training period among young male soccer players.
... In addition, SSGs have also been shown to be effective in improving the physical fitness of athletes (Clemente, Soylu, et al., 2022). Through these exercises, athletes engage in aerobic and anaerobic activities that stimulate the development of cardiorespiratory capacity, muscular strength, speed, and endurance (Bahtra et al., 2023;Massamba et al., 2021;Praça et al., 2019). Research by Stojanovic et al. (2021a) showed that participation in high-intensity SSG training stimulated positive physiological adaptations in players, which contributed to improved performance and overall health. ...
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Background Problems: Small-sided games (SSGs) have become a significant focus of research in the context of team sports, and a thorough review and analysis of the existing research landscape is needed to identify trends, gaps, and emerging themes. Research Objectives: This study aims to map the research landscape on small-sided games (SSGs) in the context of team sports through a bibliometric approach and a literature review. Methods: Literature was drawn from established research sources in the Scopus and Web of Science databases from 2014 to 2023. The final data used for this study consisted of 1012 articles, which were then analysed using a bibliometric approach, and the literature review was limited to 237 articles after grouping ten types of team sports using the ScientoPy tool. Findings and Results: The results showed a consistent increase in interest in SSGs, with journals such as “Journal of Strength and Conditioning Research” and “Biology of Sport” playing an important role in expanding understanding of the topic. The analysis also revealed that authors such as Clemente F.M. and Praca G.M. had a significant impact on developing knowledge about SSGs. Although football dominated the related literature, the results also highlighted other sports such as basketball, futsal, and handball. However, there is still a lack of SSG research for sports such as cricket and dodgeball. The benefits of SSGs in team sports include improved technical skills, physical fitness, tactical understanding, and physical performance. Conclusion: This study provides insight into the important role of SSGs in athlete development and team sports training and highlights the need for further research to optimise the full potential of this training method.
... Research has been conducted to compare the effects of SSG and running-based HIIT interventions on aerobic (Massamba et al., 2021;Boraczyński et al., 2023), jumping, acceleration, and COD (Kunz et al., 2019) performance in soccer players. For instance, a recent meta-analysis observed that SSGs appear to contribute similarly on aerobic performance adaptation as short or long HIIT training formats in men soccer players (Clemente et al., 2024). ...
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The aim of this study was twofold: (i) to compare physical fitness adaptations following small-sided games (SSG) and running-based high-intensity interval training (HIIT), considering sex interactions ; and (ii) to describe intra-individual variations of adaptations in both men and women developmental/trained soccer players over an 8-week randomized parallel study design involving 25 women and 27 men. Pre and post-intervention assessments included countermovement jump (CMJ), 10-meter linear sprint test, change-of-direction (COD) deficit, and final velocity at 30-15 Intermittent Fitness Test (VIFT). Significant interactions between time, groups and sex were found in 10-m sprint (F1,48 = 6.042; p = 0.018; = 0.112). No significant interactions between time, groups and sex were found in CMJ (F F1,48 = 0.609; p = 0.439; = 0.013), COD deficit (F F1,48 = 2.718; p = 0.106; = 0.054) and VIFT (F F1,48 = 1.141; p = 0.291; = 0.023). Significant interactions were found between time and sex in CMJ (F F1,48 = 29.342; p < 0.001; = 0.379), 10-m sprint (F F1,48 = 4.359; p = 0.042; = 0.083), COD deficit (F F1,48 = 5.066; p = 0.029; = 0.095) and VIFT (F F1,48 = 11.248; p = 0.002; = 0.190). In conclusion, this study suggests similar effects of HIIT in both sexes. However, for women, SSG may entail less efficacy and more inter-individual variability compared to men. Therefore , HIIT could potentially be a better solution for women, whereas both training approaches were equally effective in men.
... Furthermore, it concluded that 3 SSGs led to less acute stimulation of aerobic metabolism, suggesting a lower potential for chronic aerobic adaptations. 9 Based on this aspect, the results suggest that programs based on SSGs should be complemented by other training methods that benefit training capacities and develop metabolic protection for the long duration of decisive matches in soccer players. 5,10 SSGs are not suitable for simulating and maintaining the physical demands of repeated sprints, repeated displacements at high intensity of competition, pressure marking, rapid recomposition of practiced attack/defense, constant acceleration/deceleration in a pitch much larger than the reduced pitch and that requires an optimal aerobic level (stamina). ...
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Small-sided games (SSGs) serve as a valuable tool for aerobic training for both professional and amateur teams. Nevertheless, some studies suggest that, under specific conditions, small SSGs may not replicate the high-intensity efforts (20-25 km/h) and repeat sprints (>25 km/h) demanded by full games when compared with larger small-side game formats or match play. Conversely, high-intensity interval training (HIIT) has been shown to enhance maximal oxygen uptake, the lactic threshold, intermittent high-intensity effort capabilities, and rapid recovery between intense efforts. This study aimed to evaluate the effects of SSGs in comparison to HIIT on maximal oxygen uptake (VO 2MAX), repeat sprint ability (RSA), and agility in youth soccer players. A randomized parallel-group study involving 12 players per group was conducted. The experimental group underwent a nine-week SSGs-based intervention, ranging from two vs. two to six vs. six formats, with a training duration between 20 and 40 min, while the control group engaged in HIIT for the same duration and frequency. The testing battery (baseline and postintervention) occurred over three different days with assessments at 8:00 a.m., both at the club's training ground (Course Navette, Sprint Repeated Test, and Illinois Test) and in the laboratory (ergospirometry) with an environmental temperature of 24°C and relative humidity of 60%. The study commenced in the middle of the competitive season. Statistical analyses revealed no significant differences in maximal oxygen uptake between the SSGs-based training group and the control group (p = 0.44). However, the experimental group exhibited a 6% improvement in performance, while the control group showed a 12% improvement, with a moderate effect size (ES = 0.4). Additionally, the experimental group demonstrated statistically significant improvements in all RSA variables: best time (p = 0.02; 95% confidence interval (CI95%): −0.18; −0.01; ES = 1.1), average time in all sprints (p = 0.005; CI95%: −0.33; −0.06; ES = 1.4), total time in all sprints (p = 0.003; CI95%: −2.17; −0.52; ES = 1.4), and the percentage of decrease tended towards significance (p = 0.07; CI95%: −3.07; 0.15; ES = 0.8) compared with the control group. Agility showed no significant differences between the two groups (p = 0.45). Overall, no statistically significant differences were found in maximal oxygen uptake and agility between youth soccer players practicing SSGs and those engaged in HIIT after nine weeks. Notably, a significant enhancement in repeat sprint ability was observed in the SSGs group compared to the HIIT group. Consequently, during the in-season, amateur team coaches should favor SSGs training instead of interval exercises to optimize training.
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This study investigated the effectiveness of supplementing regular preseason soccer training with a supramaximal intermittent shuttle-run training (ISRT) model prescribed from Carminatti’s Test peak speed (PST-CAR) in aerobic performance-related indices and sprinting speed in male junior soccer players. Twenty-three national-level soccer players (mean ± SD; age 18.07 ± 0.9 y, body height 1.76 ± 0.65 m, body mass 71.9 ± 8.7 kg) were assigned to either an experimental group (EG; n = 13) performing ISRT + soccer training or a control group (CG; n = 10) that followed regular preseason soccer training alone. The following tests were applied before and after the eight-week training intervention: (i) incremental treadmill tests (VO2max and lactate minimum speed – LMS); (ii) linear 30-m sprint test and Carminatti’s Test (PST-CAR). Results indicated larger gains for the EG in LMS (Δ = 9.53% vs. 2.82%) and PST-CAR (Δ = 5.50% vs. 2.10%) than in the CG. Furthermore, changes in VO2max produced higher effect size (d) values for the EG (Δ = 6.67%; d = 0.59) than the CG (Δ = 1.88%; d = 0.18). Both groups improved (p = 0.002) their flying 20-m sprint speed (EG: Δ = 1.01%; CG: Δ = 1.56%). However, small decreases were observed for 10-m sprint speed in the CG (Δ = −2.19%; d = −0.44), while only trivial changes were noticed for the EG (Δ = −0.50%; d = −0.16). Our data support that additional supramaximal ISRT is an effective training stimulus to enhance aerobic performance-related indices and promote small improvements in maximal running speed without impairing the soccer players’ acceleration capacity. This study also shows that PST-CAR can be useful for individualizing running intensity in supramaximal ISRT modes.
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The aim of the research was to identify the effect of 4vs.4 small-sided games (SSGs) with goalkeepers (4vs.4+GK), applied twice a week, for 8 weeks, on U18 football players’ physical ability, compared to that of the athletes who performed specific aerobic endurance training. The research included 40 football players U18, divided into two groups: 20 in the experiment group (EG) aged 17.49 ± 0.61 years and 20 in the control group (CG) aged 17.66 ± 0.54 years. From the initial test (IT) to final tests (FT) performed on the parameters, maximum oxygen consumption (VO2max) and 10 m and 20 m sprint and agility with and without a ball showed a significant increase for both groups. The first and last SSG training was monitored, using total distance (TD), high-intensity distance (HSR—high-speed running) and maximum intensity distance (VHSR—very-high-speed running). Comparative analyses of EG and CG parameters at the FT shows that the differences between the means of two groups are statistically significant in favor of the experimental group in terms of all parameters, except 10 m sprint (p < 0.05). Referring to SSGs, the experimental group had a 7.78% increase rate in TD (p < 0.0005), a 30.90% (p < 0.0005) increase rate with HSR and no significant differences (p > 0.05) with VHSR. The experimental training program of 4vs.4+GK SSGs, applied to U18 football players, produced significant progress in the physical, and functional parameters.
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Background: Small-sided games have been suggested as a viable alternative to conventional endurance training to enhance endurance performance in youth soccer players. This has important implications for long-term athlete development because it suggests that players can increase aerobic endurance through activities that closely resemble their sport of choice. Objectives: The objectives of this meta-analysis were to compare male youth soccer players’ adaptability to small-sided games vs. conventional endurance training and to establish exercise prescription guidelines for this population. Data Sources: The data sources utilised were Google Scholar, PubMed and Microsoft Academic. Study Eligibility Criteria: Studies were eligible for inclusion if interventions were carried out in male soccer players (aged < 18 years) and compared the effects of small-sided games and conventional endurance training on aerobic endurance performance. We defined small-sided games as “modified [soccer] games played on reduced pitch areas, often using adapted rules and involving a smaller number of players than traditional games”. We defined conventional endurance training as continuous running or extensive interval training consisting of work durations > 3 min. Study Appraisal and Synthesis Methods: The inverse-variance random-effects model for meta-analyses was used because it allocates a proportionate weight to trials based on the size of their individual standard errors and facilitates analysis whilst accounting for heterogeneity across studies. Effect sizes were represented by the standardised mean difference and presented alongside 95% confidence intervals. Results: Seven studies were included in this meta-analysis. Both modes of training were effective in increasing endurance performance. Within-mode effect sizes were both of moderate magnitude [small-sided games: 0.82 (95% confidence interval 0.05, 1.60), Z = 2.07 (p = 0.04); conventional endurance training: 0.89 (95% confidence interval 0.06, 1.72), Z = 2.10 (p = 0.04)]. There were only trivial differences [0.04 (95% confidence interval − 0.36, 0.43), Z = 0.18 (p = 0.86)] between the effects on aerobic endurance performance of small-sided games and conventional endurance training. Subgroup analyses showed mostly trivial differences between the training methods across key programming variables such as set duration (≥ or < 4 min) and recovery period between sets (≥ or < 3 min). Programmes that were longer than 8 weeks favoured small-sided games [effect size = 0.45 (95% confidence interval − 0.12, 1.02), Z = 1.54 (p = 0.12)], with the opposite being true for conventional endurance training [effect size = − 0.33 (95% confidence interval − 0.79, 0.14), Z = 1.39 (p = 0.16)]. Programmes with more than 4 sets per session favoured small-sided games [effect size = 0.53 (95% confidence interval − 0.52, 1.58), Z = 0.98 (p = 0.33)] with only a trivial difference between those with 4, or fewer, sets [effect size = − 0.13 (95% confidence interval − 0.52, 0.26), Z = 0.65 (p = 0.52)]. Conclusions: Small-sided games are as effective as conventional endurance training for increasing aerobic endurance performance in male youth soccer players. This is important for practitioners as it means that small-sided games can allow both endurance and skills training to be carried out simultaneously, thus providing a more efficient training stimulus. Small-sided games offer the same benefits as conventional endurance training with two sessions per week, with ≥ 4 sets of 4 min of activity, interspersed with recovery periods of 3 min, recommended in this population.
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Aasgaard, M and Kilding, AE. Does man marking influence running outputs and intensity during small-sided soccer games? J Strength Cond Res XX(X): 000-000, 2018-Small-sided games (SSGs) are considered an effective training tool for physical development in soccer. Small-sided games can be modified in several ways to manipulate the physical demands to best match the game demands, player characteristics, and session objectives. The aim of this study was to compare the physiological, perceptual, and Global Positioning System (GPS)-derived time-motion characteristics of man marking (MM) vs. non-man marking (NMM) in 2v2, 3v3, and 4v4 SSGs. In an acute crossover design, 8 amateur soccer players (mean age ± SD: 23.6 ± 3.3 years) played 2v2, 3v3, and 4v4 SSGs consisting of 4 × 4-minute bouts, with 2-minute passive recovery. During all SSGs, players wore a heart rate (HR) monitor and GPS unit and reported their rating of perceived exertion (RPE). Average percent HR (%HRave) induced small to moderate effects with MM compared with NMM (%Δ = 1-2.7%; effect size [ES] = 0.22-0.65). Comparisons between MM formats indicated a decrease in %HRave with increased player numbers (%Δ = 1.6-3.5%; ES = 0.39-0.86). Perceptual load increased with MM compared with NMM (%Δ = 6.7-17.6%; ES = 0.66-2.09), whereas increases in player numbers (MM only) reduced RPE output (%Δ = 9.4-24.3%; ES = 1.14-3.61). Time-motion characteristics revealed substantially greater total distance covered in MM irrespective of player number (%Δ = 6.8-14.7%; ES = 1.34-2.82). There were very likely increases in distances covered at striding (13.1-17.8 km·h) (%Δ: 23.4-33.2; ES = 2.42-4.35) and high-intensity running (HIR) (17.9-21 km·h) (%Δ: 47.3-104; ES = 0.91-1.68) for MM compared with NMM irrespective of player number. In conclusion, MM substantially elevated perceptual load and distances from striding to HIR regardless of player number, whereas differences between NMM and MM for internal load remain unclear. Use of MM may allow coaches to condition for particularly demanding phases of the game and prescription of larger SSG formats to increase distance covered at higher velocities.