External Load Variability: Analysis of Tactical Systems(4-4-2 vs. 4-3-3)

1. External Load
Variability:
Analysis of Tactical Systems
(4-4-2 vs. 4-3-3)
Andrés Vargas (MSc)
Iban Urkiza
Susana M. Gil Orozko (PhD)

2. Introduction

3. The game model may influence physical demand expressed
external load parameters throughout the matches, as a result of
the various tactical systems employed (Gregson et al, 2010).
Introduction
(Bishop, 2012)

4. However, the differences between playing positions require a
deeper analysis (Zubillaga, 2006)
Introduction
(Dellal et al, 2010)

5. So, tactical systems develops a specific physical demand, which
facilitate the development of the game that the binomial physical
profile of the players and the coach's philosophy establish.
Introduction
(Unpublished)
DistanceatSprint(m)

6. Monitoring systems such as Amisco (Carling et al, 2012),
ProZone (Rampinini et al, 2007) and GPS (Casamichana, 2011)
have allowed the analysis of the competition of form individual
and continuous.
Introduction
(Ohashi et al, 2002)

7. Introduction
Goal
During the preseason, new concepts the game model are
introduced.
Therefore, the aim of the study was to determine whether the
external load is different in two tactical systems used during the
preseason matches measured with GPS devices.

8. Methodology
Soccer players
21 male players from Athletic Club of Bilbao (Youth Academy)
belonging to the 2nd division B participated in this study.

9. Methodology
Coaching Staff

10. Materials
Methodology
External load was measured through a global position systems
(GPSports, SPI-Pro, 15 Hz, Canberra, Australia)

11. 1. Assigning GPS-Polar-Player.
2. Wearing devices (GPS).
3. Turn on GPS devices.
4. Recording.
5. Turn off GPS devices.
6. Removing devices (GPS).
7. Downloading files to computer.
8. Creating splits.
9. Generating Excel (Variables selected).
10. Analyses data (Graphs, Spss, …).
11. Meetings with coaching staff.
1. Assigning GPS-Polar-Player.
2. Wearing devices (GPS).
3. Turn on GPS devices.
4. Recording.
5. Turn off GPS devices.
6. Removing devices (GPS).
7. Downloading files to computer.
8. Creating splits.
9. Generating Excel (Variables selected).
10. Analyses data (Graphs, Spss, …).
11. Meetings with coaching staff.
Procedure
Methodology

12. Variables (Match)
Methodology
D: Distance
HIR: High Intensity Running (>14 km/h):
14-21 km/h (R: Running)
21-24 km/h (RH: High Running)
>24 km/h (S: Sprinting)
(Zubillaga et al, 2007)

13. Tactical Systems & Playing Positions
Methodology
*Each match was used both tactical systems.
Di salvo et al, 2007

14. Methodology
*Each match was used both tactical systems.
Di salvo et al, 2007
Tactical Systems & Playing Positions

15. !
Methodology
Design
Preseasson 2012-2013
Mi1 Mi2 Mi3 Mi4 Mi5 Mi6

16. Statistical Analysis
Methodology
The statistical analysis was performed using the data analysis program Statistical
Package for Social Sciences - SPSS 20.0.1. (SPSS Inc., Chicago, IL, USA).
Descriptive statistics for the analysis of all the variables studied presenting values ​ ​as
mean and standard deviation (SD) was performed.
Normality of the data of each of the variables using the Z test of Kolmogorov-Smirnov
test. In order to U Mann-Whitney test was used to compare the different variables. The
upper limit of significance for all tests was set at p <0.05.

17. Result
Tactical System

18. Results
0
1000
2000
3000
4000
5000
6000
D HIR R HR S D HIR R HR S
4-3-3 4-4-2
Distance(m)
D: Distance; HIR: High Intensity Running (>14 km/h); R: Running (14-21 km/h); HR: High
Running (21-24 km/h); S: Sprint (<24 km/h).
p > 0.05

19. 0
200
400
600
800
1000
1200
1400
HIR R HR S HIR R HR S
4-3-3 4-4-2
Distance(m)Results
*
+ 8.2%
D: Distance; HIR: High Intensity Running (>14 km/h); R: Running (14-21 km/h); HR: High
Running (21-24 km/h); S: Sprint (<24 km/h).

20. Result
Playing Positions

21. Results
0
1000
2000
3000
4000
5000
6000
D HIR R HR S D HIR R HR S
4-3-3 4-4-2
Distance(m)
Forwards
*
+ 6.7 %
D: Distance; HIR: High Intensity Running (>14 km/h); R: Running (14-21 km/h); HR: High
Running (21-24 km/h); S: Sprint (<24 km/h).

22. Results
0
200
400
600
800
1000
1200
1400
HIR R HR S HIR R HR S
4-3-3 4-4-2
Distance(m)
Forwads
*
*
+ 20.2 %
+ 20.8 %
D: Distance; HIR: High Intensity Running (>14 km/h); R: Running (14-21 km/h); HR: High
Running (21-24 km/h); S: Sprint (<24 km/h).
p = 0.052
+ 17.4%

23. Conclusions
Both tactical systems are categorized as systems of possession,
but the obtained results show that the 4-4-2 system requires
greater intensity.
Therefore, the choice of the system could affect player's
performance, which may affect the ability of task resolution
due to fatigue.
Furthermore, it seems that tactical system that keep the playing
positions together (4-3-3) require a lower intensity to perform
the tactical roles.

24. Conclusions
In addition, despite the differences in the positioning of the
players in both tactical systems, no differences were found in
the midfield, wing-midfield and defense players.
With these data, the coach may choose the type of tactical
system according to the profile and physical fitness of the
players.
The use of GPS has allowed to understand real matches demands
(external load) to programme a plan specific training on this
basis.

25. Practical application

26. Practical application
Win: 21 matches
Drawn: 8 matches
Lost: 9 matches
Goal for: 64
Goal against: 36
80% matches (tactical system 4-3-3)

27. Practical application
Causality or coincidence?

28. Acknowledgment
It is thanked the participation of the players and the coaching staff Athletic
Club, and as well as the Faculty of Physical Education and Sport, University of
the Basque Country (UPV/EHU).
This study was partially supported by a grant from the Basque Government
(IT700-13).
AVF (avargas011@ikasle.ehu.es) is supported by a predoctoral fellowship
from the Basque Government (PIF/UPV/12/101).

29. You are welcome to New San Mamés