| Research
article, Young investigator |
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PLAYER MOVEMENT PATTERNS IN AN ELITE JUNIOR AUSTRALIAN RULES FOOTBALL
TEAM: AN EXPLORATORY STUDY
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1School of Human Movement, Recreation and Performance, Victoria
University Melbourne, Australia
2Centre for Ageing, Rehabilitation, Exercise and Sport, Victoria University,
Melbourne, Australia
| Received |
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14 August 2006 |
| Accepted |
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09
February 2007 |
| Published |
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01
June 2007 |
©
Journal of Sports Science and Medicine (2007) 6, 254 - 260
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| ABSTRACT |
| This
study explored the physical movement patterns associated with an elite
Under 18 Australian Football (AF) team. Five field positions were
selected with observations recording the number and relative per cent
of "working" efforts (jogging, running, and sprinting),
"resting" efforts (walking) and the total distances associated
with "working" or "resting" efforts. Intra-observer
reliability, using test- retest method, showed correlations were r
= 0.98 or greater. The Wing position covered 11,877 m, the greatest
total distance during an entire game, whilst the HBF and Centre positions
both recorded 11,545 m and 11,537 m respectively and the Ruck position
covered 9,203 m. The HBF recorded the greatest frequency of 'working'
and 'resting' efforts (180 and 182 respectively), whilst the Wing
(166 and 158), Centre (162 and 149) and Ruck (161 and 166) showed
similarities in their results. The Wing position recorded the longest
average distance per 'working' effort (58 m) whilst the Centre position
recorded the longest average distance per 'resting' effort (17 m).
Results also show the completion of less total efforts and smaller
total distances, in Under 18 players, recorded compared to professional
senior AF data. The results from this study suggest that further in-depth
research is required into movement patterns and game activity demands
in this AF playing group.
KEY
WORDS: Australian football, time-motion analysis, game demands.
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| INTRODUCTION |
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Australian
football (AF) is, arguably, Australia's major football code with
high participation at numerous levels ranging from young children
and junior levels, through to amateur senior leagues and at the
top level, the professional Australian Football League. Similar
to other sports, the opportunities to reach the professional level
diminish considerably with many dropping out due to injuries and
de-selection, as well as motivation, study and time conflicts with
other activities.
Over the past decade, it is commonly accepted that AF has progressed
into a fast paced sport characterised by high intensity play periods
and longer rest intervals (Norton et al., 1999).
As a result, coaches and sports scientists have increased their
attention and focus on determining the game-related physical demands
with a view to maximising the training and physical preparation
of each athlete. Consequently, time-motion analysis (a component
of notational or performance analysis) has developed into an important
tool for use when investigating movement patterns and the occurrence
of specific game-related skills with a view to increasing the understanding
and knowledge of the demands of this sport. Time-motion analysis
has been widely used across a variety of major football codes (Kay
and Gill, 2003;
Reilly and Thomas, 1976)
as a tool for analysis of specific players and/or their positions.
However, its use in AF to assess game demands is sparse.
Early analyses in AF conducted by Jacques and Pavia, 1974,
Hahn et al., 1979
and McKenna et al., 1988
are now considered outdated, as a direct result of the sports progression
in both rules and standards of play. However, more recent analyses
by Dawson et al. (2004a;
2004b)
have presented contemporary data on the physical and movement patterns
in professional AF players.
Presently, the research available on game demands in AF has focused
exclusively on the elite senior competition. Subsequently, there
is an absence of analysis conducted at the elite junior Under 18
(U/18) competition level. Coaching staff at the elite junior level
must attempt to make decisions regarding training regimes and performance
expectations from non-age specific data, taking into account the
development and maturational differences in their players when adapting
the data collected on the professional population. As this level
of competition is a precursor to professional AF, it is essential
to study the differences in game demands and movement patterns between
the two elite playing levels so the data obtained can be used to
appropriately develop athletes to improve their performance. Therefore,
as no study has been presented on the movement patterns at this
level of AF performance, the aim of this exploratory study was to
investigate any observable differences in the movement patterns
and game demands between elite junior and senior athletes participating
in AF.
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| METHODS |
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Approval
of the study, conforming to the Code of Ethics of the World Medical
Association (Declaration of Helsinki), was granted by the Board
of Management and Coaching Panel, Western Jets Football Club, which
participates in the Victorian U/18 year competition. Ethics approval
was granted by the Human Ethics Committee of Victoria University,
Melbourne, Australia.
Players
and, match selection
Nine U/18 AF athletes (17.3 ± 0.7 years) participated in the study
and were tracked over five randomly chosen games throughout the
18 games of the regular 2005 season period (March to September).
Prior intention to record a position was not indicated to any athlete
and randomly chosen by the head coach certifying that data collection
was "single blind".
Position,
field placement descriptions
Figure 1 illustrates the nomenclature,
placement of positions on the field and position descriptions adapted
from those used in the study by Dawson et al., 2004a.
Sprinting, running and jogging in any direction were collectively
categorised under 'working'; and walking in any direction was categorised
under 'resting'.
Data
collection
The following procedures were completed throughout the study:
i.
Before the game, length and width of the oval being used was determined
through the use of a recently calibrated measuring wheel. The ground
length and width was then used to calculate the length and width
of each grid (4m x 3.32m) superimposed over the oval outline used
when tracing the positional movement patterns throughout the game.
ii. Data was collected with one investigator seated in an elevated
position during each game when recording a player's movement patterns.
iii. During each quarter, the athlete's movements in the position
of focus were tracked on an A3 size paper grid oval based on the
pre-game measurements (Asami et al., 1988).
Adopting the methods used by Dawson et al., 2004a,
when a player was interchanged or moved into another position during
this study, the new player in the position of focus was followed
and tracked, subsequently focusing on the position and not the individual
athlete. Over the five games viewed, the following number of athletes
were tracked in each position; Ruck (n = 2), Wing (n = 3), Centre
(n = 1), Half Back Flank (HBF; n = 2) and Back Pocket (BP; n = 1).
iv. During each quarter two time clocks were used. One was started
at the first siren of the quarter and left running until the final
siren, recording the length of each quarter. The second clock was
started when the individual was determined to be 'resting' and stopped
when he was determined to start 'working' again, subsequently recording
the total time spent 'resting' and 'working' during each quarter.
Observer
reliability
To ensure reliability of measurements, three of the five games were
chosen at random for retrospective re-analysis, with movement patterns
re-measured to determine intra-observer reliability. As suggested
by Hughes et al., 2004
reliability testing was conducted on the raw data sets obtained
from the three games. Test-retest reliability was assessed by applying
Wilcoxon-Mann-Whitney U Test, and Kendall Tau correlation analysis
as the data was not normally distributed. Analysis revealed values
for all movement patterns were non-significant and correlations
were r = 0.98 or greater which were found to be similar to those
reported by Dawson et al., 2004a.
Data
analysis
Following game observations, data was logged into an Excel spreadsheet
producing a report documenting the movement patterns for the different
positions each quarter and across the entire game. Limitations in
the collection of data, measuring only time spent resting and walking,
did not allow for the delineation between movement intensities such
as walking, jogging, running and sprinting within the 'working'
and 'resting' categories. With small numbers of athletes observed
(n = 9) for the five positions analysed, no inferential statistics
were calculated. Descriptive data were produced with values expressed
as mean (± SD) and ranges, and rounded to the nearest whole number.
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| RESULTS |
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The
results presented are totals of five different playing positions
from the one team, each being recorded once during separate junior
elite U/18 AFL games. Due to the unexpected requirement of the observer
to complete another game-related task, the BP position was tracked
during the first three quarters, resulting in an incomplete game
data for the BP and will be presented "as is". Three of
the five games were completed on the team's home ground, whilst
two were played at different away venues. Each game was played in
dry conditions, and only one game was won by the team involved in
this study.
Movement
patterns
The total distance analysis of each position, including the total
game distance and the break down of distances spent 'working' (sprinting,
running and jogging) and 'resting' (walking) are shown in Table
1. The Wing position was recorded to have covered the greatest
total distance during a full game. Centre and HBF positions recorded
slightly shorter total distance than the Wing but greater than the
Ruck position.
Analysis of 'working' and 'resting' efforts showed the Wing position
recorded the greatest total distance covered whilst 'working'. The
Ruck position covered 30% less distance than the Wing position whilst
working. Both the HBF and Centre positions covered a greater distance
'resting' (7.2% and 6.2% respectively) when compared to the Wing
position. Although total distance 'resting' was less than the Centre
or HBF positions, the Ruck showed a greater percentage of total
field position distance covered whilst 'resting' than either the
Wing, HBF or Centre positions.
Tables
2 and 3
report the number of 'working' and 'resting' efforts performed during
each quarter, showing the average distance, the longest effort and
also the distance range per effort. The HBF position completed the
greatest number of 'working' efforts throughout the entire game,
completing 180 efforts. The HBF position also completed the greatest
number of efforts whilst 'resting', recording 182 efforts. The HBF
and Ruck positions recorded more 'resting' efforts than 'working'
efforts, two and five respectively. In accordance with recording
the greatest total distance covered whilst 'working', the Wing position
also recorded the greatest mean distance per effort, covering 58
m per effort (Figure 2).
The quarter by quarter analysis of 'working' efforts (Table
2) for each position showed that the Centre, Wing and BP positions
recorded the greater number of efforts during
the first quarter compared to the second and all positions tracked
for the entire four quarters recorded the greater number of 'working'
efforts in the third quarter compared to the fourth. Mean distance
per effort (Table 2) showed
increased values in the Ruck, Wing and HBF positions between first
and second quarters. After the half-time break the Ruck, Wing and
HBF showed decreased mean distance per effort in the third quarter
compared to the final quarter.
The
quarter by quarter analysis of 'resting' efforts (Table
3) revealed the Ruck, Centre and BP positions completed more
efforts in the first quarter compared to the second. The Wing and
BP recorded the greater mean distance in the first compared to the
second quarter and the Ruck and Centre positions the same mean distance
during the first two quarters. Of the four positions tracked for
the entire four quarters, the Centre was the only position to record
more 'resting' efforts in the fourth quarter compared to the third
and the only position to record a greater mean distance per effort
in the third quarter compared to the fourth.
Figure 3 shows the number of
'working' efforts completed over various distances throughout each
game. All positions show a tendency to complete the greatest number
of 'working' efforts between 0-39.99 m, with four of the five positions
recorded most 'working' efforts in the 20-39.99 m category (HBF
completed more efforts between 0-19.99 m). Each position showed
a decrease in the number of 'working' efforts completed over distances
greater than 40m. The Ruck position showed the greatest drop in
number of working efforts as the distance increased, showing a tendency
to complete only 6% of total efforts greater than 80 m.
Figure 4 shows the number of
'resting' efforts completed over all distances throughout each game.
Similar to the working efforts, all positions showed a tendency
to complete the greatest number of efforts over shorter distances
(0-20 m), reporting a decrease in the number of efforts over increasing
distances.
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| DISCUSSION |
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The purpose of this exploratory study was to observe the movement
patterns of five different playing positions involved during a junior
elite U/18 game in the 2005 season and compare this initial data
to previous research (Dawson et al., 2004a).
The underlying aim of the analysis was to assist the appropriate
design of specific training programs for this specific U/18 team
however; the data may also have general implications to the wider
population within this age group. This study is the first to accompany
the current limited research available documenting the match-play
movement patterns and physical requirements of this AF population
group.
It is important to note that methodological limitations in this
exploratory study were the type of observation (only recording distances
covered) and type recording technique, and the relatively low number
of players observed in the study which makes normative profiling
difficult (Hughes et al., 2004).
. However, the mean results of all players presented from the five
matches highlight both similarities and differences in the movement
patters observed from the five playing positions chosen during games
in this study which suggest further research must continue.
Previous research (Norton et al., 1999;
Dawson et al., 2004a)
has presented data reporting the movement patterns of elite senior
level athletes competing at the national level of competition (Table
4). The data obtained within this study has used an elite junior
population group at the relatively early stage of their development
within the
sport. Consequently, discretion is required, in terms of fitness
levels and skill abilities, when comparing the observed differences
within the two population groups.
Of the five positions tracked during this study, two positions (Centre
and Wing) are classified as a part of a team's midfield, whilst
a third position (HBF) is important in returning the ball out of
defence and starting a counter-attack. Coaches may fill these positions
with players of similar athletic capabilities involving speed, agility
and endurance, highlighted by similar total movement distances recorded.
However, there were a number of differences observed between these
three positions that could be important and should be considered
carefully when determining who might be capable of playing each
position and how each position should be adequately prepared.
The HBF position has two roles during a game: (1) limiting the impact
of their direct opponent; and (2) providing a key role in linking
up the defensive and offensive positions when returning the ball
out of defence. During this study, the participants' team lost the
game, indicating a greater workload placed upon the defensive positions,
possibly resulting in a greater distance of coverage when compared
to a game in which the participant's team won. This concurs with
Reilly and Thomas (1976)
who reported the large variation in distance covered by the defensive
positions according to the attacking style and line-up of the opposing
team. Subsequently, the HBF position recorded the greatest number
of 'working' efforts during an entire game. As the HBF is often
constrained to the defensive half of the ground, it covered less
total 'working' distance than the midfield positions due to a smaller
average distance per effort, being more 'stop- start' in nature.
The midfield positions (Wing and Centre) on the other hand, as reported
by Dawson et al., 2004a,
complete a greater number of game skills and are involved in a greater
number of contests than any other position on the ground. Hence,
they are required to cover a greater distance per effort and in
total to be present at as many contests as possible. The Wing and
Centre positions completed more 'working' than 'resting' efforts
throughout the game, suggesting a larger number of 'working' efforts
were broken by the completion of a skill compared to a true 'resting'
effort. Skill execution requires the expenditure of energy, therefore
decreasing recovery time further as they continued to work to the
next contest. Based on this study, planning for training activities
involving the midfield players should involve a large number of
working efforts with minimal recovery intervals. This could include
some working efforts followed by minimal rest perhaps broken only
by the inclusion of a skill such as kicking.
The Ruck position, usually the tallest player on the team, is a
key component of the team's midfield, being the first person to
contest the ball upon the restart of play. However, tactical innovations
in recent years have resulted in positioning the ruckman predominantly
through the midfield and defensive regions with a forward positional
player taking on the ruckman's duties in the attacking 50m area.
Subsequently, whilst providing his team with a kick to target, the
ruckman is often responsible to run to contests through the middle
and defensive area of the ground, thus covering a similar number
of 'working' efforts, although lesser distance compared to the midfield
positions. In comparison to the other positions in this study, the
Ruck spent a greater percentage of total distance whilst 'resting'
and a smaller percentage of distance whilst 'working'. This suggests
that training drills for the ruckman involving greater resting intervals
between working efforts should be prescribed compared to the midfield
positions.
In general, the number of efforts performed was similar across the
playing positions, but there were larger differences in the distances
covered. These results confirm that fitness sessions should be designed
and implemented throughout each training session that focus on repeat
efforts over these specific distances required by the playing positions.
Whilst some efforts recorded over 150 m and fewer over 200 m, the
mean distances recorded during this study were between 30-70 m.
Therefore, running sessions should be designed around efforts covering
distances of 30-70 m with recovery intervals covering 10-30m, specifically
replicating those recorded during this study.
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| CONCLUSION |
| This
study examined the physical positional requirements of an elite junior
U/18 AF club. The results showed that when compared to recent data
at the elite level (Dawson et al., 2004a;
Table 4), this preliminary study
shows clear delineation in work and rest loads between elite senior
and junior U/18 AFL level games. Consequently, this highlights the
need for further research into the movement patterns at the U/18 level,
including analysis of all positions and more games for normative profiling,
the subdivision of 'working' and 'resting' into more specific categories
(for example, walking, jogging, running and sprinting) using time
criteria, and game activity demands (for example, specific skills)
using technologies such as video analysis, global positioning systems
and computer based tracking to provide greater in-depth information. |
| KEY
POINTS |
- Little
information currently exists in the movement patterns and physical
activity levels in Australian football at both senior and junior
levels.
- The
results from this preliminary study found differences in the number
of physical efforts and the total volume of work completed in
junior Australian football players when compared to previous research
in senior players.
- Further
in-depth research is required in movement analysis, particularly
at the junior level, in order to assist junior coaching staff
in developing specific programs for this population group.
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| AUTHORS
BIOGRAPHY |
James
P. VEALE
Employment: Honours student, Victoria University.
Degree: BAppSci (Hum Mvt).
Research interests: Applied physiology of elite junior
football.
E-mail: james.veale@students.vu.edu.au
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Alan
J. PEARCE
Employment: Lecturer, Victoria University.
Degree: BSc (Spt Sc) Hons, Grad Dip (Elite Spt Coach), PhD.
Research interests: Applied physiology and physical performance
of sport. Physiology of movement and motor control.
E-mail: alan.pearce@vu.edu.au |
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John
S. CARLSON
Employment: Professor, Victoria University.
Degree: Dip PE, TSTC, BPE, MSc, PhD.
Research interests: Physical performance of sport. Exercise
and children.Exercise and aging.
E-mail: john.carlson@vu.edu.au
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