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Biomechanical Comparison of Cutting Techniques: A Review AND Practical Applications

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Abstract Cutting actions are important maneuvers in multidirectional sport and are also key actions associated with non-contact anterior cruciate ligament injury; however, it is important to note that three primary cutting techniques have been studied within the literature: the side-step, crossover cut, and split-step. These cutting techniques demonstrate kinetic and kinematic differences which have distinct implications for both performance and potential injury risk. In this review, we discuss the advantages and disadvantages of the three cutting techniques and provide cutting technical guidelines, verbal coaching cues, and change of direction speed and agility programming recommendations to enhance performance and promote safer mechanics.
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BIOMECHANICAL COMPARISON OF CUTTING TECHNIQUES: A REVIEW
AND PRACTICAL APPLICATIONS
Review article
Thomas Dos’Santos1, Alistair McBurnie1, Christopher Thomas1,2, Paul Comfort1, and Paul
Jones1
1Human Performance Laboratory, Directorate of Sport, Exercise, and Physiotherapy,
University of Salford, Greater Manchester, United Kingdom
2 Aspire Academy, Doha, Qatar.
#Corresponding Author: Thomas Dos’Santos
Telephone: +447961744517
Email: t.dossantos@edu.salford.ac.uk
Thomas Dos’Santos is a PhD student in Biomechanics and Strength and Conditioning at the University of
Salford, UK.
Alistair McBurnie is a graduate in Sports Science: Strength and conditioning and works as a Sports Scientist in
soccer.
Christopher Thomas is a football biomechanist at Aspire academy.
Paul Comfort is a Reader in Strength and Conditioning and program leader of the MSc Strength and
Conditioning at the University of Salford, UK.
Paul A. Jones is a Lecturer in Biomechanics and Strength and Conditioning at the University of Salford, UK.
Abstract word count: 100 words
Manuscript word count: 4463 words
Number of tables and figures: 4 Tables, 2 Figures
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ABSTRACT
Cutting actions are important maneuvers in multidirectional sport and are also key actions
associated with non-contact anterior cruciate ligament injury; however, it is important to note
that three primary cutting techniques have been studied within the literature: the side-step,
crossover cut, and split-step. These cutting techniques demonstrate kinetic and kinematic
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differences which have distinct implications for both performance and potential injury risk. In
this review, we discuss the advantages and disadvantages of the three cutting techniques and
provide cutting technical guidelines, verbal coaching cues, and change of direction speed and
agility programming recommendations to enhance performance and promote safer
mechanics.
Key words: side-step; split-step; crossover cut; anterior cruciate ligament; change of
direction
INTRODUCTION
The ability to change direction is an important action associated with successful performance
in multidirectional sports (8, 27, 49, 74, 86, 90, 102, 114). Change of direction (COD)
maneuvers are frequently performed in sports such as soccer (8, 86), netball (29, 102), and
rugby (33, 89, 109, 116), and are linked to decisive actions in these sports, such as evading
an opponent to penetrate the defensive line in rugby (tackle-break success in rugby) (72, 109,
116), or getting into space to receive a pass in netball (29). Furthermore, COD actions which
are then followed by sprints are also linked to goal scoring and assists in soccer (27). As
such, COD proficiency along with an athlete’s ability to select the most effective COD
maneuver is integral for successful COD speed and agility performance in multidirectional
sports (75, 114).
Changing direction, however, has also been identified as a key action associated with non-
contact anterior cruciate ligament (ACL) injuries in numerous multidirectional sports (soccer,
rugby, handball, netball, AFL, and American football) (9, 14, 16, 26, 55, 67, 79, 107). This
finding is attributed to the propensity to generate high multiplanar knee joint loading (flexion,
transverse, and abduction loading) (6, 19, 20, 46, 57) when the foot is planted during the cut,
thus increasing ACL strain (3, 52, 62, 77, 93). Therefore, understanding the optimal
techniques for performance (COD speed and agility) and minimizing injury risk (joint
loadings) are of great interest to coaches and practitioners working with multidirectional
athletes.
The “cutting action”, defined as a directional change from a few degrees to 90˚ (change in
direct of motion) (2), is commonly performed in sports (8, 29, 49, 67, 86, 102, 116), and the
execution of such actions can vary substantially between individuals and contexts of sports
(2). Three different cutting techniques have been primarily identified within the literature: the
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side-step, crossover cut (XOC), and split-step (Figure 1), which are typically performed in
multidirectional sport and in training. However, the three cutting techniques display
biomechanical differences which have their own distinct advantages and disadvantages from
both performance and injury risk perspectives (6, 11, 17, 53, 73, 83-85, 100, 101, 103-105).
The optimal cutting strategy is dependent on the task (i.e. COD scenario, pre-planned vs
unplanned), sport, and physical capacity of the athlete. Thus, strength and conditioning
coaches (and other practitioners from different disciplines who may also have to coach and
deliver COD speed and agility training) should be conscious of these factors when planning
and programming effective COD speed or agility drills and creating strength and
conditioning programs (10, 24). To our knowledge, no review has comprehensively
compared the different cutting techniques, outlining the advantages and disadvantages of the
cutting strategies, and made practical applications regarding the integration of these
maneuvers into COD speed and agility training programs. It is important that coaches and
practitioners understand the differences and implications of these aforementioned cutting
techniques and know which strategies are optimal for velocity maintenance, COD angle
evasive agility (deception), while considering the injury risk implications. Thus, the purpose
of this article is to evaluate and biomechanically compare the different cutting techniques and
discuss the advantages and disadvantages of these techniques from performance and injury
risk perspectives, while providing practical applications to sport, COD speed, and agility
training. Furthermore, to assist coaches and practitioners in the coaching and delivery of
cutting training, technical guidelines for cutting actions, cutting verbal coaching cues,
example cutting COD speed and agility drills, and COD speed and agility programming
recommendations will also be presented.
THREE PRIMARY CUTTING TECHNIQUES
Cutting and COD actions can be sub-divided into four phases: initial acceleration (positive
acceleration), preliminary deceleration (negative acceleration: to reduce momentum into the
COD over penultimate contact and prior steps), cut/COD (weight-acceptance and push-off
leading to change in direct of motion), and finally reacceleration (2, 10, 23, 24, 38, 75).
Undoubtedly, cutting is a multi-step action with the steps preceding and following push-off
involved in facilitating effective directional changes (23, 24, 46). However, the preliminary
deceleration and redirection requirements during directional changes will be governed by the
approach velocity, intended COD angle, sporting scenario (i.e. pre-planned, offensive, or
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defensive agility), and the athletes’ physical capacity (neuromuscular control and ability to
rapidly produce force) (23, 24).
Three primary cutting techniques have been studied within the literature: the side-step,
crossover cut, and split-step (6, 11, 17, 53, 73, 83-85, 100, 101, 103-105). Side-step cuts are
described as an athlete planting their foot laterally opposite to the direction of travel (Figure
1) to create a propulsive impulse into the new intended direction. The body is typically
rotated towards the intended direction of travel, and the athlete accelerates towards the
direction opposite of the planted leg (2, 16, 85, 101). The crossover cut (XOC) (Figure 1)
involves positioning the plant foot on the same side (ipsilateral) of the new direction (or
sometimes medially across the pelvic midline) and then crossing the opposite leg
(contralateral) in front of the body for the new step in the new direction, accelerating in the
same direction of the push-off leg (2, 16, 85, 101, 110). Finally, the split-step involves the
athlete performing a small jump (amplitude jump) prior to push-off, landing with both feet
greater than or equal to shoulder width apart, and then, upon landing, the contralateral limb is
used for push-off into the intended direction of travel (11, 17, 29).
***Insert Figure 1 around here***
Side-step vs crossover cut: performance implications
Side-steps and XOCs are commonly performed by athletes in various sports (16, 116);
however, researching examining the biomechanical differences between the two tasks is
limited (6, 53, 65, 83-85, 100, 101). Andrews et al. (2) qualitatively described the differences
between side-steps and XOCs, indicating internal pelvic rotation was demonstrated during the
side-step by the plant leg, whereas external pelvic rotation for the plant leg was displayed
during the XOC. Rand and Ohtsuki (85) conducted a quantitative comparison of cutting
techniques, reporting significantly greater (p < 0.05) cutting angles, ground contact times
(GCT), and vastus medialis and gluteus medius muscle activation in side-steps compared to
XOCs. Greater braking and propulsive forces (vertical and medio-lateral) have also been
observed during side-steps compared to a XOCs (53, 78, 101) which, in turn, may explain the
longer GCTs and greater angled COD observed by Rand and Ohtsuki (85). Taken together, in
order to execute a sharper COD, a side-step cutting strategy is advocated because longer
GCTs are necessary to apply greater braking and propulsive impulses to decelerate (reduce
momentum prior to acceleration) and accelerate into the new intended direction (24, 36).
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Suzuki et al. (101) found greater (ES = 0.96) cutting angles were demonstrated by athletes
with a side-step (40.5 ± 8.7˚) technique compared to a XOC (33.0 ± 6.8˚), during an intended
90° COD. Additionally, the authors observed greater medio-lateral (ML), posterior, and
vertical ground reaction forces (GRF) in the side-step compared to XOC, supporting the
results of previous research (53, 78). However, at the expense of cutting angle, XOCs
maintained velocity to a greater extent than side-steps (-0.31 ± 0.23 vs. -0.63 ± 0.23 m.s-1, ES
= 1.39, respectively). This result supports previous research (100) that also demonstrated
greater velocity maintenance during 60˚ and 90˚ zig-zag runs with a XOCs compared to side-
steps, reporting velocity decreases at 60° of -0.74 ± 0.45 vs -1.10 ± 0.28 m.s-1 (ES = -0.96),
and at 90° -1.13 ± 0.49 vs -1.65 ± 0.88 m.s-1 (ES = 0.73), respectively. Based on these
findings, there appears to be an angle-velocity trade-off when executing cuts which should be
acknowledged when coaching and prescribing COD training (10, 24).
Because velocities are maintained to a greater extent and shorter GCTs are achieved with
XOCs (85, 100, 101), this technique appears to be an effective cutting strategy for pre-
planned COD tests or pre-planned tasks. This finding is pertinent for scenarios whereby
velocity maintenance is integral, and the aim is to complete a COD test or cover a distance as
fast as possible (35). Conversely, a side-step is recommended when cutting angle is a priority
(85, 101), and in attacking evasive agility situations to create separation from an opponent,
due to the lateral foot plant (false-step) and exaggerated head and trunk positions can help
deceive opponents (12, 13, 41, 42, 68, 109, 116); however, there may be a concurrent
reduction in velocity. The XOC may also be important when an acute COD is required, and
velocity maintenance is essential in evasion sports, such as collision sports where high
momentums are required to penetrate defensive lines.
Side-step vs crossover cut: injury risk implications
It is also pertinent to understand the knee joint loading and potential injury risk implications
of the cutting techniques. Andrews et al. (2) hypothesized that side-steps would impose
greater stress on the medial knee ligaments, whereas the XOC would induce greater stress on
the lateral knee ligaments; however, the authors did not quantify joint moments. Besier et al.
(6) conducted a biomechanical comparison of side-step and XOC techniques and found the
side-step elicited combined loads (moments) of knee flexion, valgus, and internal rotation,
whereas XOCs elicited combined loads of knee flexion, varus and external rotation.
Similarly, Kim et al. (53) observed greater hip flexor, knee flexor, and knee valgus moments
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during side-steps compared to XOCs. Consequently, side-step techniques evoke tri-planar
knee joint loading which can increase strain on the ACL and medial collateral ligament (6,
52, 53, 62, 77, 93), thus increasing injury risk (39). Conversely, the presence of an external
rotation moment during the XOC may moderate ACL loading (62, 81), though the
combination of an extended knee position (34) and large knee varus and external rotation
moments during XOCs may have the potential to increase loading on the lateral collateral
ligament (6, 62, 81).
The finding that side-steps elicit greater knee valgus loading (6, 53) is unsurprising due to the
postures and kinematics associated with the task (20, 37, 45, 47, 57, 66, 94, 95), which can
increase ACL strain (62, 63, 92, 112). Specifically, side-step techniques with a wide lateral
foot plant (20, 37, 45, 57), greater hip abduction angles (95), increased internal foot
progression angles (initial posture) (47, 95), increased hip internal rotation angles (initial
posture) (37, 66, 94, 95), greater peak knee valgus angles (45, 47, 57, 66, 94), greater lateral
trunk flexion or rotation over the plant leg (20, 30, 43, 45), and greater GRFs (46, 94, 95)
over weight acceptance are associated with greater knee valgus moments and thus injury risk
(39, 62, 63, 92, 112). Moreover, several studies have also reported higher risk postures and
mechanics during side-steps compared to XOCs (65, 83, 101), such as greater hip abductor
moments, greater knee valgus, greater hip internal rotation and abduction angles, and less hip
and knee flexion. These findings are concerning because the such kinematics are commonly
reported in observation studies regarding non-contact ACL injuries (14, 16, 32, 44, 54, 55,
58, 79, 98, 107), and are postures associated with greater knee joint loading (45, 47, 57, 66,
94).
The XOC typically results in a foot plant crossing the midline of the body, leading to the
GRF vector positioned medial to the knee joint during the early stages of weight acceptance;
thus, creating a knee varus moment (adduction) (Figure 2). Conversely, during side-stepping,
the GRF vector is positioned lateral to the knee joint creating a knee valgus moment
(abduction) (Figure 2). Additionally, the XOC involves hip external rotation, whereas the
side-step involves internal rotation of the plant leg (18) which may explain the differences in
rotation moments observed by Besier et al. (6). Moreover, Queen et al. (84) reported greater
medial foot loading (foot pressure) during side-steps in contrast to greater lateral foot loading
observed for XOCs. These foot loading implications should be acknowledged when exposing
athletes to COD training who are rehabilitating from foot injuries. Furthermore, it is also
pertinent to understand that the XOC involves external rotation and eversion at the foot (1, 7,
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15), which may have the propensity to create high eversion angular velocities, thus potential
risk of sustaining a medial ankle sprains (106). Conversely, the side-step can involve
internally rotated foot positions and supination which has the potential to generate high
inversion angular velocities, potentially resulting in lateral ankle sprains (28, 56). Irrespective
of the cutting maneuvers, it is essential that athletes have sufficient neuromuscular control at
the ankle and foot to reduce injury risk.
***Insert Figure 2 around here***
In relation to ACL injury risk, the side-step cutting technique appears to be a higher risk
technique compared to XOCs due to the kinetics and kinematics associated with greater knee
joint loading (6, 53, 65, 83, 101). This, in turn, may explain the higher reported incidences of
non-contact ACL injuries occurring during side-step actions compared to XOCs in sport (16,
67). However, it should be noted that the higher frequencies of non-contact ACL injuries
from side-steps may also be attributed to the action being performed more frequently in
sports (16, 109, 116), and potentially performed more aggressively from an evasive
perspective to create a sharper COD (medio-lateral force propulsion) to reaccelerate into the
intended direction. Nevertheless, Montgomery et al. (67) reported 67% of non-contact ACL
injuries in rugby occurred during side-step evasive maneuvers, and only one non-contact
ACL injury involved a XOC action. Cochrane et al. (16) reported 37% of non-contact ACL
injuries occurred during a side-step, while only 5% occurred during a XOC in AFL players.
Interestingly, the authors described the mechanism of injury as knee external rotation which
supports the findings of Besier et al. (6) that demonstrated knee external rotation moments
and varus during XOC. This observation is in contrast to knee valgus (14, 16, 32, 44, 55, 58,
79, 98, 107) and internal rotation (16, 55, 79) observed during side-steps which are
commonly described characteristics of non-contact ACL injuries.
Although the majority of retrospective observation analysis studies of non-contact ACL
injury have not specified whether the cutting action was a side-step or a XOC (14, 44, 54, 55,
79, 107), the qualitative descriptions of the injury inciting event indicate a side-step (lateral
foot plant) is the primary cutting maneuver connected with non-contact ACL injuries. With
this in mind, a side-step is potentially a riskier cutting action in comparison to the XOC due
to the higher incidences of injury (16, 67) and greater knee joint loading associated with this
maneuver (6, 53). Although the XOC cut maintains velocity to a greater extent (100, 101),
the side-step could be more a more evasive strategy due to the lateral false-step (31)
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performed which helps deceive an opponent (12, 13, 41, 42, 68, 109, 116). Thus, practitioners
must consider the implications of side-step and XOC on velocity, COD angle, evasion, and
knee joint loading when prescribing and coaching COD and agility drills.
Side-step vs split-step: performance implications
A paucity of studies has biomechanically compared side-step and split-step techniques (11,
69, 103, 104). It has been reported that the split-step resulted in greater lateral velocity, but
also longer GCTs in comparison to side-stepping (104). Conversely, using high-speed video
analysis and timing lights, Bradshaw et al. (11) reported side-stepping was faster than the
split-stepping during a pre-planned COD speed task in AFL players, resulting in faster total
times (1.57 ± 0.10 s vs. 1.71 ± 0.10 s, ES = 1.34, respectively), shorter preparation times
(time between the second pair of timing lights and initial ground contact of the foot used to
change direction) (0.66 ± 0.07 s vs. 0.75 ± 0.07 s, ES = 1.29, respectively), and faster
approach times (1.07 ± 0.08 s vs. 1.17 ± 0.10 s, ES = 1.10, respectively). The longer
preparation and approach times observed for the split-step is most likely attributed to the time
the athlete spends airborne prior to COD initiation (Figure 1).
During a video reactive test, Bradshaw et al. (11) found AFL players made slower (ES =
2.33) decisions in response to split-steps compared to side-steps (0.19 ± 0.03 s vs. 0.12 ± 0.03
s, respectively), and a greater number of decision errors were also made when reacting to
video footage of the split-step (16 vs. 1, respectively). Similarly, Connor et al. (17), also
demonstrated the split-step was harder to anticipate than side-steps. The greater difficulty in
anticipating and responding to split-stepping is attributed to the small jump prior to COD
initiation, with similarly positioned legs, and delays in kinematic cues relating to the intended
direction of travel (11, 17). As a result, the defender/ responder is less likely to make an
accurate judgement or detect any postural kinematic cues until the attacker has landed over
weight acceptance.
Consequently, for COD speed tasks (pre-planned), a side-step strategy is a faster technique
than the split-step (11); however, from a deception and evasive aspect (i.e. attacking 1 v 1
agility situation), a split-step technique could be more advantageous due to the difficulties
observed in identifying kinematic cues and responding to this technique as reported in
previous research (11, 17). Though it is emphasized that the side-step can still be effective
evasive technique to exploit an opponent’s psychological refractory period (Hick’s law), in
order to attain a performance advantage (109, 116). Moreover, coaches and athletes must
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consider the longer split-step preparation times versus the benefit of a potentially more
deceiving maneuver when performing evasive agility techniques. As such, coaches and
practitioners should acknowledge the task- and context-specific nature associated with cutting
techniques. A limitation of prior research is that it is primarily laboratory based and
individual diversity (athletes’ physical qualities and anthropometrics) has not been accounted
for. Further research is required to understand whether particular cutting techniques are
effective for individuals of different physical qualities and anthropometrics (i.e. stronger,
stiffer or more compliant).
Side-step vs split-step: injury risk implications
There is a lack of research which has conducted three-dimensional motion and GRF analysis
comparing split-step and side-step techniques (69, 103, 104). Trewartha et al. (103, 104)
found the split-step produced lower knee joint loads (frontal and transverse) compared to
side-stepping. This finding could be could explained by the bilateral symmetrical landing
observed with split-steps which dissipates forces more evenly across both limbs, compared to
the unilateral lading associated with side-stepping (6). As such, the split-step technique may
protect the ACL to a greater extent due to the lower associative knee joint loading.
Munro et al. (69) compared the muscle activation differences between the split-step and side-
step, finding all the monitored muscles (quadriceps and hamstrings) were recruited
simultaneously during side-stepping, reflecting co-contraction. During split-stepping,
however, the rectus femoris was initially recruited, followed by synchronous vasti and medial
hamstrings onset and then lateral hamstring muscle onset. The lack of preactivity observed
with the hamstrings during the split step, particularly the medial hamstrings, in combination
with greater proportion of lateral quadricep recruitment may compress the lateral joint, open
the medial joint, increase knee valgus, increase anterior shear force, thus increased ACL
loading (40, 59, 61, 71, 87). It is important to note that the abovementioned studies are
limited only to male rugby players, have possessed low sample sizes (n = 7-10), and are only
published in supplement formats or conference proceedings. As such, further work is
warranted comparing the biomechanics and muscle activation differences between side-step
and split-step techniques in larger sample sizes and in different athletic populations, for a
more comprehensive understanding of these cutting actions.
PRACTICAL APPLICATIONS
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As previously discussed, it is evident that the three cutting techniques (Figure 1) outlined in
this article demonstrate kinetic and kinematic differences which have different implications
for both performance and injury risk when changing direction. Therefore, the optimal cutting
strategy appears to be dependent on the task demands (i.e. pre-panned vs. attacking agility),
sporting demands, and physical capacity of the athlete. Table 1 outlines the advantages,
disadvantages, and suggested applications of the cutting techniques in sport, COD speed, and
agility training.
***Insert Table 1 around here***
The determinants of COD speed and agility performance are multifaceted and are influenced
by technical, physical qualities, perceptual-cognitive, and linear speed factors (90, 91, 114,
115). In particular, shorter GCTs (22, 60, 64, 88, 97) and braking and propulsive forces and
impulses (22, 37, 96, 97) have been identified as determinants of faster COD speed
performance. In light of these determinants, coaches and practitioners should seek to develop
their athletes physical qualities (e.g. concentric, reactive, isometric, eccentric strength, rate
of force development) and ability to rapidly produce and accept force (time limited force-
expression), across the whole force-velocity spectrum (10, 21, 24, 75, 108). Improving these
physical qualities has been shown to positively enhance COD speed and agility performance
(10, 21, 50, 75, 76, 99, 108), but will also be beneficial in reducing injury risk and promoting
safer mechanics (21, 51, 70, 75, 80, 99). It is beyond the scope of this article to provide
specific resistance training and plyometric training guidelines for COD and as such, readers
are directed to the excellent recommendations provided in previous reviews and chapters (10,
21, 24, 75, 108). The following section will focus on the coaching and delivery of cutting
COD speed and agility training by providing technical guidelines and verbal cues for
coaching faster and safer cutting (i.e. reduced knee joint loading), example COD speed and
agility drills, and COD speed and agility programming recommendations.
Cutting technical guidelines and coaching cues
Table 2 provides side-step cutting technique guidelines for faster and safer side-step cutting
(Figure 1a). Technical guidelines for the side-step should ensure frontal plane lower limb
alignment, rapid transition from weight acceptance to push-off, trunk lean, and whole-body
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rotation towards the intended direction of travel (Table 2). The same strategies can generally
be applied to XOC and split-step techniques; however, the main difference is foot
placement (medial for XOC, bilateral symmetrical for split-step). Subject to the approach
velocity and angle of COD, preliminary deceleration (braking) may occur during the
penultimate foot contact (PFC) and potentially steps prior to the COD (23, 24). Nonetheless,
the PFC is considered a “preparatory step” to facilitate an optimal whole-body position for
effective weight acceptance and push-off during the plant and cut phase of the COD (23).
Coaches are encouraged to read the PFC braking strategy technique guidelines outlined in a
previous review for a comprehensive overview of PFC braking (23).
***Insert Table 2 around here***
Coaching cues for cutting technique
Table 3 presents verbal coaching cues for enhancing cutting performance and to promote
safer mechanics. The cues presented are in line with the recommendations of previous
research (4, 5, 82, 111) which advocate the use of external cues and encouragement of
externally directed attention to improve performance outcomes, promote safer mechanics,
and improved skill acquisition and retention. Specifically, external cues focus on the
environment and goal-relevant dimensions of the task, and in some cases, analogies are used
(5, 111). Regular cueing between repetitions has been suggested to be beneficial for
performance (5), while regular feedback regarding COD technique has been reported to be
beneficial in eliciting positive changes in technique (19, 48, 80). However, it strongly advised
that coaches limit cues and instructions to 1 or 2, and select cues relevant to the goal of the
drill, or technical element being emphasized (111). This approach will eliminate memory
recall problems, permitting the athlete to concentrate on the 1 or 2 cues (111).
***Insert Table 3 around here***
Programming to improve cutting COD speed and agility
To provide athletes with a range of different cutting “movement solutions” that can be used
in their sport (75), coaches and practitioners are recommended to program and incorporate
the three primary cutting techniques into their athletes’ COD speed and agility drills and
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overall holistic training program (21, 23, 75). Concentrating on COD technique will
positively enhance performance and address biomechanical and neuromuscular deficits
associated with increased injury risk (19, 48, 80). As such, a cutting development framework
is presented in Table 3, for the structuring and periodization of cutting COD speed and agility
training. Coaches and practitioners are encouraged to include two to three 15-30 minutes
COD speed and agility training sessions per week, separated by at least 48 hours recovery
between sessions (19, 21, 48).
***Insert Table 4 around here***
The cutting development framework (Table 4) focuses on three phases (mesocycles) adapted
from previous work (21, 23, 48, 75): technique acquisition, technique retention and integrity,
and movement solutions. The three phases shift from block, to serial, to random practice (25,
75), with progressive increases in intensity (via approach velocity and COD angle) (24),
specificity (introduction of sport-specific stimuli), complexity, and contextual interference
(10, 75, 113). The primary objective of the technique acquisition phase (phase 1) is to
initially introduce and coach the cutting techniques, reinforcing and modifying optimal
mechanics using block-practice (performing consecutive repetitions of the same task) and
closed drills that are low in intensity (i.e. low approach velocity, shallow COD angle) (19, 24,
48). Over time, intensity is increased via increases in approach velocity and COD angle (10,
24, 75), with the primary objective of the technique retention and integrity phase (phase 2) to
maintain optimal cutting mechanics and technique under high mechanical loading. Finally,
the movement solutions phase is the most complex, with the use of open-drills utilising
sports-specific scenarios, stimuli, and implements (if applicable) (75, 113). The primary
focus of this phase is to provide a random environment for athletes to retrieve, select, and
perform the different cutting maneuvers, under high cognitive load and constraints (i.e. time,
environment, rule adjustment) to improve skill retention and transfer (25, 75, 113).
The recommended phases are not to be performed exclusively, but are the primary focus for
that phase (largest proportion of training volume/percentage dedicated) (75). As such, it is
important that coaches still incorporate drills from the other phases, but at smaller training
volumes (and reduced intensity where applicable). Additionally, coaches and practitioners are
recommended to conduct a needs analysis for the sport and perform qualitative and
quantitative assessments of cutting COD speed and agility, while also creating a
strength/power diagnostic profile for the athlete and taking into account the athletes training
P a g e | 14
history. This information can then be used to identify strengths and deficiencies to
subsequently better inform future training prescription for that athlete in context of the
sporting demands (74, 75). The volume of time spent on a phase should be individualized
based on the athletes training status, strength capacity, and movement mechanics (74, 75).
CONCLUSIONS
Side-step, crossover cut, and split-step cutting techniques demonstrate clear biomechanical
differences which have distinct implications for both performance and potential injury risk
which should be acknowledged when coaching and conditioning athletes for cutting. Coaches
and practitioners should develop their multidirectional athletes capacity to perform all three
cutting techniques, implementing the technical guidelines, verbal coaching cues, and
programming guidelines provided in the article. This will subsequently provide athletes with
different movement solutions so each maneuver can be performed effectively, when
required, in sport.
Conflicts of Interest and Source of Funding: The authors report no conflicts of interest and no
source of funding.
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Figure 1. Photo sequences of the three cutting techniques: A) Side-step; B) Crossover cut; C) Split-step
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Figure 2 Ground reaction force vector (blue line) in relation to the knee between crossover cuts (left) and side-
step cuts (right)
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Table 1 Advantages, disadvantages, and practical applications of the side-step, crossover cut, and split-step cutting techniques
Cutting technique
Evidence
Practical applications to sport, COD speed, or agility
training
Side-step
Besier et al. (2001); Suzuki
et al. (2014); Suzuki et al.
(2010); Queen et al. (2007);
Rand & Ohtsuki (2000);
Kim et al. (2014); Potter et
al. (2014); Cochrane et al.
(2007); Montgomery et al.
(2016); Andrews et al.
(1977); McGovern et al.
(2015); Kristianslund et al.
(2011); Fong et al. (2009)
Attacking agility 1 vs 1 situations in sport to get
past an opponent or to get into space
Evasive manoeuvres in sport to feint and deceive an
opponent e.g. tackle break success in rugby,
American football, soccer, etc.
Situations when sharp cut and lateral propulsion is
warranted
XOC
Besier et al. (2001); Suzuki
et al. (2014); Suzuki et al.
(2010); Queen et al. (2007),
Rand & Ohtsuki (2000);
Kim et al. (2014); Potter et
al. (2014); Andrews et al.
(1977); McGovern et al.
(2015); Wade et al. (2018)
Situations where velocity maintenance and
momentum with a subtle COD is warranted such as
collision sports i.e. to break through tackles in
rugby and American football
Pre-planned COD tasks in sports such as running
around the bases in softball and baseball
Pre-planned COD speed tests where completion
time is fundamental; especially when acute cuts are
performed
Split-step
Trewartha et al. (2007);
Trewartha et al. (2008);
Nieminen et al. (2014); Uzu
et al. (2009); Connor et al.
(2018); Bradshaw et al.
(2006); Munro et al. (2008)
Attacking agility 1 vs 1 situations in sport to get
past an opponent or to get into space
Evasive manoeuvres in sport to feint and deceive an
opponent e.g. rugby, American football, soccer, etc.
Could be an effective strategy during situations with
low approach velocity as small amplitude jump
prior to push-off will engage SSC and subsequently
increase lateral propulsion
Key: XOC: Crossover cut; COD: Change of direction; GCT: Ground contact time; KVMs: Knee valgus moment (synonymous with knee abduction moments); SSC: Stretch-shortening cycle; ACL: Anterior cruciate ligament
P a g e | 24
Table 2. Side-step cutting guidelines
Preliminary
deceleration prior to
plant and cut
Athletes should lower their COM, emphasizing a large anterior placement of the foot relative to the COM to create posteriorly directed braking force,
and a backwards trunk lean (23).
Athletes should also ensure strong frontal plane alignment of the ankle, knee, and hip to avoid generation of large frontal plane moments. Some pre-
rotation of the pelvis and the trunk may occur to align themselves in the new intended direction (24).
Plant and cut
Vision
Athletes should direct their attention towards the intended direction of travel to facilitate whole-body rotation and alignment, and promoting earlier
visual scanning (23) (Figure 1a).
Trunk, torso, and
pelvis
During weight acceptance and push-off, athletes should adopt an upright trunk, and ideally encourage trunk lean and rotation towards the intended
direction of travel (37, 64). Athletes may also rotate their pelvis towards the direction of travel (24, 38).
From a performance aspect, trunk lean and rotation towards the intended direction of travel is associated with faster COD performance (37, 64), and
also minimising lateral trunk flexion over the plant foot contact reduces hazardous knee joint loading (19, 20, 30, 43, 45) (Figure 1a).
Lower-limb
Athletes should lower their COM via hip, knee, and ankle dorsi-flexion to increase stability, and should ensure strong frontal plane alignment of the
ankle, knee, and hip for effective force transmission (21) and to reduce knee joint loading (23, 24). Specifically, internally rotated hip (37, 66, 94, 95),
abducted knee (45, 47, 56, 66, 94), and internally rotated foot postures (47, 95) should be avoided to reduce knee joint loading, thus injury risk
(Figure 1a).
Athletes should adopt a wide lateral foot plant for effective ML propulsion forces/impulse and exit velocity into the new intended direction (24, 37,
45) via hip abduction and adopting a neutral foot position (19) (Figure 1a). However, coaches should acknowledge that encouraging a wide lateral
foot plant concurrently elevates hazardous knee joint loading (20, 37, 45, 57), thus indicating a potential performance-injury conflict (24, 37). As
such, it is imperative that athletes have the physical capacity (neuromuscular control, ability to rapidly apply force, and muscle co-contraction) and
optimal mechanics when adopting these wide foot plant techniques (24, 57, 75, 80, 99).
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When adopting the wide foot plant, athletes are encouraged to display an active limb, encouraging knee flexion (avoiding an extended knee postures ≤
30˚ knee flexion) (21, 55, 62, 63) with a rapid transition from weight acceptance (triple flexion) to push-off (triple extension) (Figure 1a). This will
minimize GCT and optimize the stretch reflex during the SSC (33, 60). High levels of force and power generation from the lower-limb musculature
(ankle, knee, and hip) have been reported to be important biomechanical factors linked to faster COD performance (37, 64); thus, athletes should be
encouraged to transmit forcefully through the ground, and “push/punch the ground away”, while also encouraging a powerful arm drive to facilitate a
power leg drive (21).
Key: GCT: Ground contact time; SSC: Stretch shortening cycle; COD: Change of direction; COM: Center of mass; ML: Medio-lateral
P a g e | 26
Table 3. Example verbal coaching cues for faster and safer cutting performance
Verbal coaching cue
Outcome and rationale
When making the cut….
“Push/punch the ground away”
“Attack the ground”
“Drive/explode towards the goal as fast as possible”
To promote ML force propulsion, COD trajectory, and subsequent exit velocity.
“Lean/face/look towards the finish/goal/ intended direction
of travel”
To promote optimal alignment of the trunk and whole-body over the stance phase. Trunk lean and
rotation towards direction of travel associated with faster performance and reduced knee joint
loading.
“Push yourself as hard and fast as possible off the ground”
“Release/launch/explode yourself like a spring / rocket”
“Pretend you are a spring becoming smaller and greater/
shrinking and recoiling”
To promote short GCT, increased knee flexion ROM, emphasize rapid transition from weight
acceptance to push-off. Emphasize stretch reflex during SSC and forceful generation of lower-limb
triple extensor musculature.
“Try to minimize noise”
“Cushion/Absorb”
To promote softer weight acceptance, and reduce GRF and joint loading.
“Minimise GCT during plant step” – “imagine the surface is
hot lava”
Putting time constraints on the FFC will encourage earlier braking during the PFC, to reduce knee
joint loading during plant step.
“Slam on the brakes – early”
Promote effective braking during penultimate step and steps prior (preliminary deceleration) to
reduce momentum prior to changing direction.
Key: ML: Medio-lateral; COD: Change of direction; GCT: Ground contact time; ROM: Range of motion; GRF: ground reaction force; FFC: Final foot contact;
PFC: Penultimate foot contact.
P a g e | 27
Table 4. Cutting development framework
Phase 1
Phase 2
Phase 3
Technique acquisition
Technique retention and integrity
Movement solutions
Aims
Introduce and teach different cutting techniques
and reinforce and modify mechanics using
closed, pre-planned drills of low intensity (low
approach velocity and COD angle).
Cutting drills performed maximally, with increased intensity,
to maintain and reinforce optimal mechanics under high
mechanical loading.
Increased complexity and sports-specificity to
provide random environment for athletes to retrieve,
select, and perform the different cutting maneuvers.
Performed under high cognitive load and constraints
to improve decision making.
Intensity
Progressive increases in intensity via increases in approach velocity, angle, incorporating sports-specific implements, and stimuli.
Progressive increases in cognitive load via changes in skill practice and increased contextual interference.
Example drills
Closed-, pre-planned drills, performed sub
maximally
1. 20-45˚ XOC: 5-m entry and exit
2. 30-90˚ side-step: 5-m entry and exit
3. 30-90˚ split-step: 2.5-m entry and exit
Closed, pre-planned drills performed maximally.
1. 20-45˚ XOC: 5-10-m entry and exit
2. 30˚ XOC to 60˚ side-step: 5-m entry and exit between cuts
3. 30-90˚ split-step: 2.5-m entry and exit
Increased complexity with the addition of several CODs and
combinations of different cuts
Introduction of sports-specific drills that incorporates an
implement/object and open-drills performed sub maximally.
1. Y-agility drill past an opponent/response to ball
2. Mirror drill versus an opponent
3. Cut in response to a pass from a team mate
Evasive open-drills, and simulated sports-specific
scenarios such as small sided games, conditioned
games, etc.
Example:
Conditioned evasive SSGs i.e. pitch dimensions and
rules
1. Touch rugby 3 vs 3 limit number of passes to
encourage evasive cutting actions
2. Y-agility drill past an opponent from various
approach distances and environmental
constraints
Note: drills will be dependent on the task- and
sporting-demands, and should be designed
P a g e | 28
accordingly
Practice
structure
Block - serial
Serial and Random
Random, differential, variance
Key: COD: Change of direction; XOC: Crossover cut
... When developing and assessing agility performance, a variety of methods have been utilised within applied environments (Inglis & Bird, 2016;Nimphius et al., 2018;Paul et al., 2016). Selecting training drills or assessments is typically dependent on sport-specific factors, such as activity profiles during competition (Dos'Santos et al., 2019;Liefeith et al., 2018;Paul et al., 2016). Moreover, different measures of agility elicit varied physiological demands dependent on the constraints of the drill or test . ...
... Moreover, different measures of agility elicit varied physiological demands dependent on the constraints of the drill or test . A common approach adopted in soccer is to assess and develop "cut agility" performance; typically performing a COD in response to a stimulus across an angle of ~45° while maintaining a high running velocity (Chaalali et al., 2016;Dos'Santos et al., 2019;Dugdale et al., 2020;Fiorilli et al., 2017;Morral-Yepes et al., 2022;Pojskic et al., 2018). This approach stems from early multidirectional speed data from soccer match play (Bloomfield et al., 2007) and is supported by recent observations . ...
... Moreover, considering the faster times achieved during phase 1, yet slower times achieved during phase 2 of the Y-SprintREACT test for older and more mature players, it is probable that these players within our study were approaching the COD of the Y-SprintREACT "too fast" relative to their braking and COD ability. To combat this, we recommend that explicit technical coaching of agility performance should be delivered as part of a comprehensive physical development programme to help players who are post-PHV become more attuned to their current physical attributes (Dos'Santos et al., 2019;McBurnie et al., 2022). Given our findings, these suggestions may be beneficial for all ages and stages of development. ...
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Training and assessment of agility is often prioritised by soccer coaches and practitioners aiming to develop multi-directional speed. Although the importance of agility is advocated throughout childhood and adolescence, limited data evidence agility performance at different stages of adolescence. The purpose of this study was to examine differences in multi-directional speed performance in youth soccer players spanning an entire soccer academy. A total of 86 male junior-elite soccer players volunteered to participate. Anthropometric data were collected, alongside performance data from a battery of physical tests including sprinting, jumping, change of direction, reaction time, and agility. Bayesian models using log-likelihoods from posterior simulations of parameter values displayed linear or curvilinear relationships between both chronological and biological age and performance in all tests other than agility and reaction time. For agility and reaction time tests, performance improved until ~14 years of age or the estimated age of peak height velocity whereby arrested development in performance was observed. Our results demonstrate that while most performance skills improve as chronological or biological age increases, measures of agility and reaction time may not. These findings support the notion that agility performance is complex and multifaceted, eliciting unique, challenging physical demands and non-linear development.
... Alternating between observing (during rest) and physically practicing a task has been shown to enhance skill learning, transfer, and retention [41]. The general structure of the technique training ( Figure 3) was aligned with the "cutting development framework" of Dos'Santos et al. [82], which was recently adopted for multidirectional speed development in maturing athletes [83]. The framework distinguishes three phases: technique acquisition, technique retention and integrity, and movement solutions [82]. ...
... The general structure of the technique training ( Figure 3) was aligned with the "cutting development framework" of Dos'Santos et al. [82], which was recently adopted for multidirectional speed development in maturing athletes [83]. The framework distinguishes three phases: technique acquisition, technique retention and integrity, and movement solutions [82]. The specificity and the cognitive and physical load of the training exercises progressively increase across the phases [84]. ...
... Analogies and external cues have been recommended when working with young athletes [96,97] and when teaching agility skills [98,99] as they accelerate the learning process, enhance the production of effective and efficient movement patterns, and improve athletes' performance [40,93,100]. The cues given were in accordance with current recommendations of verbal coaching cues for faster and safer cutting performance [82] and comparable to cueing practices in previous studies [60,78,79]. The physical demands were initially kept low by practicing the drills with submaximal effort (50-75% of perceived maximum effort) and with low cutting angles (45 • -70 • ). ...
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This study developed a cutting technique modification training program and investigated its effects on cutting performance and movement quality in adolescent American football players. For six weeks, an intervention group (IG) of 11 players participated in 25 min cutting technique modification training sessions integrated into team training twice a week, while a control group (CG) of 11 players continued their usual team training. Movement quality was assessed by evaluating 2D high-speed videos, obtained during preplanned 45° and 90° cutting tests, using the Cutting Movement Assessment Score (CMAS) qualitative screening tool. Cutting performance was assessed based on change of direction deficit (CODD). Significant interaction effects of time × group were found for CMAS in 45° and 90° cuttings (p < 0.001, ηp2 = 0.76, p < 0.001, ηp2 = 0.64, respectively), with large improvements in the IG (p < 0.001, g = −2.16, p < 0.001, g = −1.78, respectively) and deteriorations in the CG for 45° cuttings (p = 0.002, g = 1.15). However, no statistically significant differences in CODD were observed pre-to-post intervention. The cutting technique modification training was effective at improving movement quality without impairing cutting performance, and it can be used by practitioners working with adolescent athletes.
... Rapid performance of COD requires an extended knee position, greater knee abduction angles, and large ground reaction forces. Because these factors are related to knee joint strength and stability 8 , COD test is also used as a tool to assess return to sport in athletes with anterior cruciate ligament (ACL) injuries, which are a common prognosis in sports that require COD skills. The deterioration of athletes' ability to decelerate rapidly before COD has been associated with loss of neuromuscular coordination, loss of strength, unconscious reduction of speed before COD for fear of re-injury, etc., and can therefore be detected by a detailed analysis of the COD test 9 . ...
... This step is called 'penultimate foot contact' (PFC), indicated as the first heel strike (for example, R in in COD 2) in Figure S1, and is used to brake prior to the COD 29,30 . For CODs greater than 60°, it is recommended to brake strongly during the PFC, thus making it important 8 . For the micro-analysis, five candidate methods were developed based on the observation of the signals, and the obtained error over 6 participants was used to evaluate these methods: ...
... Metrics for performance in COD test. While the proposed method for instrumenting the agility test can provide additional data during the COD, we used existing performance metrics from literature 8,12,14,34 . Among a larger set of metrics that can be estimated using a combination of force plate and motion capture systems, we considered those that can be estimated using the current sensor setup for further analysis. ...
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The Agility T-test is a standardized method to measure the change-of-direction (COD) ability of athletes in the field. It is traditionally scored based on the total completion time, which does not provide information on the different CODs. Augmenting the T-test with wearable sensors provides the opportunity to explore new metrics. Towards this, data of 23 professional soccer players were recorded with a trunk-worn GNSS-IMU (Global Navigation Satellite System-Inertial Measurement Unit) device. A method for detecting the four CODs based on the wavelet-denoised antero-posterior acceleration signal was developed and validated using video data (60 Hz). Following this, completion time was estimated using GNSS ground speed and validated with the photocell data. The proposed method yields an error (mean ± standard deviation) of 0 ± 66 ms for the COD detection, − 0.16 ± 0.22 s for completion time, and a relative error for each COD duration and each sequential movement durations of less than 3.5 ± 16% and 7 ± 7%, respectively. The presented algorithm can highlight the asymmetric performance between the phases and CODs in the right and left direction. By providing a more comprehensive analysis in the field, this work can enable coaches to develop more personalized training and rehabilitation programs.
... The 180⁰ turn, which has a similar movement sequence to the COD speed, is among the crucial characteristics in sports where versatile movement patterns are used intensively (Dos'Santos et al., 2019). In soccer, one of the primary sports that fit this definition, the essential reflections of the 180⁰ turn movement are defensive-offensive transitions (and vice versa) and sudden maneuvers to beat the opponent (Dos' Santos et al., 2021). ...
... COD or changing locomotion is a widespread movement in different sports based on agility and quickness(Dos'Santos et al., 2019). 180⁰ turn is a GRF-derived clinical test carried out on an anti-slip textured finish force plate, unlike the traditional field test measurement procedures. ...
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The main aim of the study was to investigate the relationship between ground reaction force (GRF) derived postural sway and 180° turn performance in soccer players on the axis of dominant and non-dominant legs. Twenty-seven male soccer players (mean age 22.45 ± 2.7 years) from the same league level agreed to participate in the study. The participants underwent GRF-derived postural sway and 180⁰ turn tests using a force plate in separate sessions, with at least 24-hour intervals between sessions. Postural sway was assessed in anteroposterior and mediolateral directions during a single-leg stance, while the 180° turn performance was evaluated through GRF-derived turn time and turn sway. The correlation, multiple regression, and group differences were computed to test study hypotheses. Positive correlations were observed between postural sway measures and 180⁰ turn time for dominant and non-dominant legs (r-range from 0.384 to 0.550). No measure of postural sway was significantly related to the 180⁰ turn sway (p> 0.05). Multiple stepwise regression analysis indicated that mediolateral sway velocity explained 30% and 17% of the variance of 180⁰ turn time for dominant and non-dominant legs, respectively. No statistical inter-limb differences were noted for 180⁰ turn and postural sway parameters. The results suggest that improving single-leg postural performance may enhance male soccer players' 180° turn performance. Therefore, unilateral stability in the mediolateral direction should be considered a potential indicator of change of direction-based performances.
... Pada basket kombinasi keduanya sering dilakukan sehingga rentan mengalami cedera. Cedera yang sering terjadi yaitu cedera Anterior Cruciate Ligament (ACL) (Dos'Santos et al., 2019). Kebanyakan terjadi karena cedera non-kontak ketika melakukan change of direction (COD) dan cutting dengan posisi valgus lutut berlebih. ...
... Dalam olahraga softball COD dilakukan untuk menghindar dan mencetak skor, (Nimphius et al., 2016). COD sering dilakukan pada olahraga multidirectional seperti sepakbola dan basket untuk menghindar, bertahan, mengumpan dan mencetak skor karena sangat efektif (Dos'Santos et al., 2019). ...
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Tujuan dari penelitian ini dilakukan untuk mengetahui pengaruh pemberian kinesio tape dan non-kinesio tape ketika melakukan cutting pada pemain basket SMA di Kota Malang. Penelitian ini merupakan jenis penelitian pre-experimental one group pre-test - post-test dengan jenis rancangan penelitian yang dilakukan dengan pre-test sebelum pemberian kinesio tape dan post-test setelah pemberian kinesio tape . Hasil dari penelitian ini tentang pengaruh penggunaan kinesio tape terhadap derajat knee valgus pada gerak cutting pemain basket SMA di Kota Malang, maka dapat disimpulkan bahwa tidak ada pengaruh penggunaan kinesio tape terhadap derajat knee valgus pada gerak cutting dalam kelompok pre-test dan post-test .
... In a sport like soccer, each player can make around 700 turns per game [2], something common before scoring a goal [3]. From a biomechanical point of view, change of direction (COD) requires a deceleration phase consisting of several braking steps, followed by a propulsive phase or push towards the desired direction [4][5][6][7]. For this reason, the eccentric-concentric muscular activity in this type of movement plays a fundamental role, and it is important to know the stress or muscular damage that it can cause to a player [7][8][9]. ...
... GPS (Global Positioning System) devices have been Sensors 2023, 23, 3095 2 of 11 the most widely used monitoring resource in recent years [11]. However, low sampling frequency (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) Hz) seems to be a limitation for detecting fast movements when the duration is short [12]. ...
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The purpose of this study was to study the validity and reproducibility of an algorithm capable of combining information from Inertial and Magnetic Measurement Units (IMMUs) to detect changes of direction (COD). Five participants wore three devices at the same time to perform five CODs in three different conditions: angle (45°, 90°, 135° and 180°), direction (left and right), and running speed (13 and 18 km/h). For the testing, the combination of different % of smoothing applied to the signal (20%, 30% and 40%) and minimum intensity peak (PmI) for each event (0.8 G, 0.9 G, and 1.0 G) was applied. The values recorded with the sensors were contrasted with observation and coding from video. At 13 km/h, the combination of 30% smoothing and 0.9 G PmI was the one that showed the most accurate values (IMMU1: Cohen’s d (d) = −0.29;%Diff = −4%; IMMU2: d = 0.04 %Diff = 0%, IMMU3: d = −0.27, %Diff = 13%). At 18 km/h, the 40% and 0.9 G combination was the most accurate (IMMU1: d = −0.28; %Diff = −4%; IMMU2 = d = −0.16; %Diff = −1%; IMMU3 = d = −0.26; %Diff = −2%). The results suggest the need to apply specific filters to the algorithm based on speed, in order to accurately detect COD.
... However, our results showed that high collar football shoes had lower peak ankle joint external rotation moment than low collar football shoes. It is noteworthy that the lay-up jump primarily involves movements in the sagittal plane, while the side-step cutting is characterised by a lateral foot plant followed by a push-off in the opposite direction (Dos'santos et al., 2019). A possible explanation for the differences in this observation could be attributed to the different task demands placed on the participants. ...
... If an athlete performed a crossover cut during a left direction, they also did a crossover cut when performing the right at the same angle (and vice versa). The majority of trials analysed involved a lateral foot plant, with only two players performing a crossover cut during a 45º task, most likely due to the angle-velocity trade-off present during changing direction (11,12). A trial was considered valid when the participant performed the test inside the width rail without stepping outside of it. ...
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The aims of this study were to establish whether directional dominance is displayed during change of direction (COD) tasks across various angles, to determine the angle-variation data for the asymmetry magnitude and direction, and to analyse the relationships in COD performance (completion time and COD deficit) across tasks. Twenty-four young (U-16 to U-20), highly trained male basketball players performed a 10-m linear sprint test and four 10-m COD tests (45º, 90º, 135º and 180º) in left and right directions. COD performance was determined via total times and COD deficit and asymmetry comparisons were made between faster and slower directions and dominant [DL] (i.e., first step leg in lay-up) and non-dominant (NDL) legs. No significant differences (p>0.05) were found between DL and NDL for any task excluding 45° COD (p<0.05, Effect size [ES]= 0.44-0.78), but significant differences were established between faster and slower sides for all angles (p<0.05, ES=0.70-1.28). Levels of the agreement in directional dominance during COD tasks were generally poor to slight (k=-0.14 to 0.14), excluding a fair agreement between COD45 and COD90 (k= 0.34). Correlations between COD total times and COD deficits between angles were moderate to very large (r=0.32 to 0.81) and moderate to large (r=-0.30 to 0.55) respectively. Players displayed superior COD performance in a particular direction across various angles. This directional dominance is not necessarily consistent between angles, thus, highlighting the angle-dependent nature of COD performance. Consequently, practitioners should investigate multiple angles and directions to create a COD angle profile for their athletes.
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We investigated the effects of high intensity, intermittent exercise (HIIP) and anticipation on trunk, pelvic and lower limb biomechanics during a crossover cutting manoeuvre. Twenty-eight male, varsity athletes performed crossover cutting manoeuvres in anticipated and unanticipated conditions pre- and post-HIIP. Kinematic and kinetic variables were captured using a motion analysis system. Statistical parametric mapping (repeated-measures ANOVA) was used to identify differences in biomechanical patterns. Results demonstrated that both unanticipation and fatigue (HIIP) altered the biomechanics of the crossover cutting manoeuvre, whereas no interactions effects were observed. Unanticipation resulted in less trunk and pelvic side flexion in the direction of cut (d = 0.70 – 0.79). This led to increased hip abductor and external rotator moments and increased knee extensor and valgus moments with small effects (d = 0.24–0.42), potentially increasing ACL strain. The HIIP resulted in trivial to small effects only with a decrease in internal knee rotator and extensor moment and decreased knee power absorption (d = 0.35), reducing potential ACL strain. The effect of trunk and hip control exercises in unanticipated conditions on the crossover cutting manoeuvre should be investigated with a view to refining ACL injury prevention programmes.
Article
Background: Anterior cruciate ligament (ACL) injuries are prevalent in contact sports that feature cutting and pivoting, such as American football. These injuries typically require surgical treatment, can result in significant missed time from competition, and may have deleterious long-term effects on an athlete's playing career and health. While the majority of ACL tears in other sports have been shown to occur from a noncontact mechanism, it stands to reason that a significant number of ACL tears in American football would occur after contact, given the nature of the sport. Hypothesis/Purpose: The purpose was to describe the mechanism, playing situation, and lower extremity limb position associated with ACL injuries in professional American football players through video analysis to test the hypothesis that a majority of injuries occur via a contact mechanism. Study design: Case series; Level of evidence, 4. Methods: A retrospective cohort of National Football League (NFL) players with ACL injuries from 3 consecutive seasons (2013-2016) was populated by searching publicly available online databases and other traditional media sources. Of 156 ACL injuries identified, 77 occurred during the regular season and playoffs, with video analysis available for 69 injuries. The video of each injury was independently viewed by 2 reviewers to determine the nature of the injury (ie, whether it occurred via a noncontact mechanism), the position of the lower extremity, and the football activity at the time of injury. Playing surface, player position, and time that the injury occurred were also recorded. Results: Contrary to our hypothesis, the majority of ACL injuries occurred via a noncontact mechanism (50 of 69, 72.5%), with the exception of injury to offensive linemen, who had a noncontact mechanism in only 20% of injuries. For noncontact injuries, the most common football activity at the time of injury was pivoting/cutting, and the most common position of the injured extremity included hip abduction/flexion, early knee flexion/abduction, and foot abduction/external rotation. There was no association between injury mechanism and time of injury or playing surface in this cohort. Conclusion: In this study of players in the NFL, the majority of ACL tears involved a noncontact mechanism, with the lower extremity exhibiting a dynamic valgus moment at the knee. These findings suggest that ACL injury prevention programs may reduce the risk of noncontact ACL tears in American football players.