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Jump performance in Volleyball: type and intensity of the jumps of the outside hitter and middle blocker

Authors:
INTRODUCTION
CONCLUSION
Jump performance in Volleyball: type
and intensity of the jumps of the outside
hitter and middle blocker
Sample
4 MALE ELITE
VOLLEYBALL
PLAYERS (2
OUTSIDE HITTER
+ 2 MIDDLE
BLOCKERS)
VERT INERTIAL
MEASUREMENT
DEVICE
5 GAMES WITH
A TOTAL OF 15
SETS ANALYZED
1021 JUMPS
The purpose of this pilot study was to assess the
types and intensity of the jumps of outside hitters
and middle blockers in the senior 1st division of
volleyball in Portugal.The results confirm the need
to individualize the practice and training of
volleyball players according to the players’ roles.
More studies are needed to provide more
information about repeated jump ability in
volleyball players.
METHODS
RESULTS
Ricardo.lima@esdl.ipvc.pt
Ricardo Lima1,3, Miguel Camões1, Bruno Silva1,3, Filipe Clemente1,2
1Instituto Politécnico de Viana do Castelo – Escola Superior de Desporto e Lazer de Melgaço, Portugal.
2Instituto de Telecomunicações – Departamento da Covilhã, Portugal
3CIDESD Research Center in Sports Science, Health Sciences and Human Development
Volleyball is anon-invasive net sport.Teams perform
alternative high-intensity actions of passing a ball
and trying to send it to the opponent’s court.
Traditionally, monitoring players’ jumping ability in a
competition involves the assessment of the types and
the number of jumps that the players perform.
Previous studies showed that players’ game demands
changed according to the players positions and their
specificity.
The purpose of this pilot study was to assess the
types and intensities of the jumps that professional
male volleyball players executed according to
particular playing positions.
Middle blocker Outside hitter
Number of jumps Jump height Number of jumps Jump height
Type
of jump Average % M SD Average % M SD
Serve
1.6 7.89 0.41 0.14 4.9 18.3 0.52 0.16
Reception
0.0 0.16 0.63 01.1 4.25 0.32 0.09
Set
0.0 0.16 0.31 00.4 1.5 0.38 0.15
Simulation
2.6 12.4 0.59 0.13 0.0 0 0 0
Attack
4.3 20.6 0.65 0.12 8.9 33.5 0.68 0.12
Block
11.0 53.3 0.53 0.12 10.3 38.7 0.58 0.12
Celebration
0.0 0.16 0.22 00.2 0.75 0.17 0.02
Null
1.1 5.31 0.37 0.16 0.8 30.39 0.18
Tot al s
20.7 100 0.55 0.15 13.3 100 0.58 0.12
Middle blockers Outside hitter
Type
of jump Highest
(m)
Av.
(m)
Av.
(%)
SD
(%)
Highest
(m)
Av.
(m)
Av.
(%)
SD
(%)
Serve
0.69 0.40 57.5 20.6 0.67 0.49 73.5 18
Reception
0.63 - - - 0.39 0.29 74.8 19.5
Set
0.49 - - - 0.48 - - -
Simulation
0.80 0.57 71.2 16.3 - - - -
Attack
0.92 0.66 71.7 13.8 0.83 0.65 78.1 12.5
Block
0.80 0.54 67 15.5 0.80 0.57 71.3 27.2
Celebration
0.22 - - - 0.18 - - -
Null
0.62 0.39 63.6 20.8 0.54 - - -
Average
0.65 0.47 74.8 13.5 0.56 0.41 76.2 19.5
FIG. 1 - Jumps performed per set and relative jump heights for the different types of jumps (values expressed in numbers of jumps and percentages). Note: Data
related to relative jump heights include only information for actions with more than one jump per set of occurrence.
TABLE 1 - Average and proportion of jumps per set and jump heights (height values expressed in m).
TABLE 2 - Maximal and relative height per player’s position for the different types of jumps (height values expressed in meters and
percentages).
... Brazo-Sayavera et al. (2017) reported that fatigue increases with increasing number of jumps and decreases block performance in volleyball players. Wnorovski et al. (2013) examined volleyball players individually in competition and reported that there was a decrease in jumping performance throughout the sets, while Lima et al. (2019) reported that there was no difference in jumping performance between sets and that the increase in jumping did not negatively affect block performance. García-de-Alcaraz et al. (2020) and Mori et al. (2020) reported that middle players performed a higher number of jumps in competition than setters and spikers. ...
Article
Full-text available
Aim: The study aimed to examine the relationship between total load jumps and negative block performance of elite male volleyball players. Method: During the research, 18 elite volleyball athletes were monitored, composed of 7 middle players, 8 spikers, and 3 opposite players. The total vertical jump and block performance of volleyball players were assessed during 23 demo matches completed in routine training sessions. The tracking of vertical jump count was facilitated by employing a vert belt, while the assessment of block performance relied on the application of Data Volley 4 Pro software. The statistical analysis of the data was conducted using the SPSS 22.0 package program for Windows. The Spearman correlation test was applied to assess the relationship between jump load and block performance. Results: A negative, weak, and significant relationship was found between vertical jump load and ineffective block (r=-,206; p<0,05) and a weak but insignificant relationship for block error (r=,100; p>0,05) for middle players. A positive, insignificant relationship was found between vertical jump load and block error (r=,007; p>0,05), and a negative, insignificant, for the ineffective block (r=-,079; p>0,05) for spikers. A positive, insignificant relationship between total jump load and ineffective block (r=,054; p>0,05), and block error (r=,027; p>0,05). Conclusion: Across all players, the findings suggest that the total jump load is not significantly related to either block errors or ineffective blocks. The positive correlations observed between jump load and both block errors and ineffective blocks are not statistically significant for the entire group.
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