scholarly journals Identification, Computational Examination, Critical Assessment and Future Considerations of Spatial Tactical Variables to Assess the Use of Space in Team Sports by Positional Data: A Systematic Review

2021 ◽  
Vol 77 (1) ◽  
pp. 205-221
Author(s):  
Markel Rico-González ◽  
José Pino Ortega ◽  
Fabio Yuzo Nakamura ◽  
Felipe Arruda Moura ◽  
Asier Los Arcos
Keyword(s):  
Team Sports ◽  
Team Sport ◽  
Critical Assessment ◽  
System Level ◽  
Voronoi Region ◽  
Use Of Space ◽  
The Mean ◽  
New Variables ◽  
Positional Data ◽  
Dominant Influence

Abstract The aim of the review was to identify the spatial tactical variables used to assess the use of space in team sports using positional data. In addition, we examined computational methods, performed a critical assessment and suggested future considerations. We considered four electronic databases. A total of 3973 documents were initially retrieved and only 15 articles suggested original spatial variables or different computation methods. Spatial team sport tactical variables can be classified into 3 principal types: occupied space, total field coverage by several players; exploration space, the mean location (±standard deviations in X- and Y-directions) of the player/team during the entire game; and dominant/influence space, the region the players can reach before any other players. Most of the studies, i.e., 55%, did not include goalkeepers (GKs) and total playing space to assess occupied space, however, several proposed new variables that considered that all playing space could be “played” (i.e. effective free-space, normalized surface area). Only a collective exploration space variable has been suggested: the major range of the geometrical centre (GC). This suggestion could be applied to assess collective exploration space variables at a sub-system level. The measurement of the dominant/influence space has been based on the Voronoi region (i.e. distance d criteria), but several studies also based their computation on the time (t). In addition, several weighted dominant areas have been suggested. In conclusion, the use of spatial collective tactical variables considering the principal structural traits of each team sport (e.g. players of both teams, the location of the space with respect to the goal, and the total playing space) is recommended.

scholarly journals Body Composition in Various Age Groups Among Individual and Team Sport

2021 ◽  
Vol 6 (2) ◽  
pp. 304-309
Author(s):  
Manzoor Ahmad Bhat
Keyword(s):  
Standard Deviation ◽  
Age Groups ◽  
Team Sports ◽  
Team Sport ◽  
Age Group ◽  
Average Difference ◽  
Fat Percentage ◽  
The Mean ◽  
Game Players ◽  
Individual Sports

The study aimed to compare the Body Composition in Various Age Groups among Individual and Team Sport. A total of one hundred twenty (120) subjects, comprising 60 Individual and 60 Team sport of district Kulgam J&K, further out of 60 individual sports players 20 players were of the age group between 20-25, ( 20 ) players were of the age group between 25- 30 and 20 players were of the age group between 30-35. the same procedure was followed for 60 team sports players. The Subjects were selected by using purposive sampling. The age of the subjects ranged between 20-25, the second group 25-30, and the third group 30-35. To analyze and compare the Body Composition and fat percentage in three different age groups among individual sports and team sports, the Following equipment and test were used: the data related to Fat Percentage was measured by Skinfold Calipers. BMI: it was estimated by Stadiometer and weighing machine. ).the data that was collected after applying standard testing kits were written in separate columns and was cross-checked for all three different age groups. Individual and team sports of district kulgam. Then the analysis of data was carried out by applying various statistical techniques like average., standard deviation and through the application of formula of t-test to find out the significant difference of all selected physical variables I,e BMI and fat percentage in various age groups among individual and team sports players of kulgam district the level of significance as per norm was kept as (p<0.05). the mean and standard deviation of BMI in 20-25 age group individual game players is ( 22.02 ±2.20) respectively, and the mean and standard deviation of BMI in 20-25 age group of team sports players is (18.01 ±1.81), with an average difference of 4.01. ). Hence individual sports players were found with a higher BMI than team sports players under the 20-25 age group. BMI in the 25-30 age group individual game players is (23.09±1.76) respectively, and the mean and standard deviation of BMI in 25-30 age group of team sports players is (20.07±3.36), with an average difference of 3.02. ). Hence under this age group, the individual sports players were found with a higher BMI than team sports groups. The mean and standard deviation of BMI in 30-35 age group individual game players is (19.30±2.07) respectively, and the mean and standard deviation of BMI in 30-35 age group of team sports players is (22.17 ±3.47), with an average difference of 2.87. Hence, team sports players were found with a higher BMI under the age group than individual sports players. The mean and standard deviation of fat percentage in 20-25 age group individual game players is (11.09±4.83) respectively, and the mean and standard deviation of fat percentage in 20-25 age group of team sports players is (9.02±4.18), with an average difference of 2.17.).Hence under this age group, individual sports players were found fatty as compared to team sports players. The mean and standard deviation of fat percentage in 25-30 age group individual game players is (10.01±3.53) respectively, and the mean and standard deviation of BMI in 25-30 age group of team sports players is (14.04±7.48), with an average difference of 4.13. ). Hence under this age group, team sports players were found fatty as compared to individual sports players. The mean and standard deviation of BMI in 30-35 age group individual game players is (14.08±2.81) respectively, and the mean and standard deviation of fat percentage in 30-35 age group of team sports players is (18.01±5.64), with an average difference of 3.64. Hence under this age group, team sports players were found fatty as compared to individual sports players

scholarly journals COMPARATIVE ANALYSIS OF COMPETITIVE STATE ANXIETY AMONG TEAM SPORT AND INDIVIDUAL SPORT ATHLETES IN IRAN

2016 ◽  
Vol 20 (5) ◽  
pp. 57-61 ◽  
Author(s):  
Soltani Hossein ◽  
Hojati Zahra ◽  
Reza Attarzadeh Hossini Seyed
Keyword(s):  
State Anxiety ◽  
Team Sports ◽  
Team Sport ◽  
Male Athletes ◽  
Persian Version ◽  
Cognitive Anxiety ◽  
The Mean ◽  
The Individual ◽  
Individual Sports ◽  
One Way Anova

Purpose: With respect to the fact that every sport field has its own special nature, the aim of present study was to compare competitive state anxiety among team sport and individual sport athletes in Iran. Material: The statistic sample included 120 male athletes, 60 athletes in individual sports (wrestling, taekwondo and karate) and 60 athletes in team sports (futsal, volleyball and basketball). The research instrument employed was the Persian version of the Competitive State Anxiety Inventory-2. This inventory was distributed among the subjects about 30 minutes before the first competition. Finally by one-way ANOVA data was analyzed. Results: The results indicated that the mean score of somatic anxiety and cognitive anxiety among individual sport athletes was significantly higher than that of team sport athletes (p0.05). Conclusion: It seems the being part of a team alleviates some of the pressure experienced by those who compete alone. It seems the individual sport athletes may be more exposed to evaluation and more engaged in their own skills and abilities than team sport athletes given that responsibility for performance is not distributed across several performers.

scholarly journals Comparison of Change of Direction Speed Performance and Asymmetries between Team-Sport Athletes: Application of Change of Direction Deficit

Sports ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 174 ◽  
Author(s):  
Thomas Dos’Santos Christopher Thomas ◽  
Paul Comfort ◽  
Paul A. Jones
Keyword(s):  
Completion Time ◽  
Team Sports ◽  
Team Sport ◽  
Linear Speed ◽  
Change Of Direction ◽  
Directional Dominance ◽  
Speed Performance ◽  
Approach Velocity ◽  
Left And Right ◽  
The Relationship

The purpose of this study was twofold: (1) to examine differences in change of direction (COD) performance and asymmetries between team-sports while considering the effects of sex and sport; (2) to evaluate the relationship between linear speed, COD completion time, and COD deficit. A total of 115 (56 males, 59 females) athletes active in cricket, soccer, netball, and basketball performed the 505 for both left and right limbs and a 10-m sprint test. All team-sports displayed directional dominance (i.e., faster turning performance/shorter COD deficits towards a direction) (p ≤ 0.001, g = −0.62 to −0.96, −11.0% to −28.4%) with, male cricketers tending to demonstrate the greatest COD deficit asymmetries between directions compared to other team-sports (28.4 ± 26.5%, g = 0.19–0.85), while female netballers displayed the lowest asymmetries (11.0 ± 10.1%, g = 0.14–0.86). Differences in sprint and COD performance were observed between sexes and sports, with males demonstrating faster 10-m sprint times, and 505 times compared to females of the same sport. Male soccer and male cricketers displayed shorter COD deficits compared to females of the same sport; however, female court athletes demonstrated shorter COD deficits compared to male court athletes. Large significant associations (ρ = 0.631–0.643, p < 0.001) between 505 time and COD deficit were revealed, while trivial, non-significant associations (ρ ≤ −0.094, p ≥ 0.320) between COD deficit and 10-m sprint times were observed. In conclusion, male and female team-sport athletes display significant asymmetries and directional dominance during a high approach velocity 180° turning task. Coaches and practitioners are advised to apply the COD deficit for a more isolated measure of COD ability (i.e., not biased towards athletes with superior acceleration and linear speed) and perform COD speed assessments from both directions to establish directional dominance and create a COD symmetry profile.

scholarly journals Assessing the Magnitude and Direction of Asymmetry in Unilateral Jump and Change of Direction Speed Tasks in Youth Female Team-Sport Athletes

2021 ◽  
Vol 79 (1) ◽  
pp. 15-27
Author(s):  
Jordi Arboix-Alió ◽  
Chris Bishop ◽  
Ariadna Benet ◽  
Bernat Buscà ◽  
Joan Aguilera-Castells ◽  
...  
Keyword(s):  
Team Sports ◽  
Team Sport ◽  
Kappa Coefficient ◽  
Fitness Testing ◽  
Countermovement Jump ◽  
Linear Speed ◽  
Female Youth ◽  
Change Of Direction ◽  
Time Performance ◽  
The Relationship

Abstract The direction of inter-limb asymmetries and the change of direction (COD) deficit are two aspects that have increased in recent years. The main objective of the present study was to assess the magnitude of neuromuscular asymmetries in an elite youth female team-sports sample and determine its directionality. Secondary objectives were to evaluate the relationship between COD deficit, linear speed and COD time performance. Elite female youth basketball and handball players (n = 33, age = 16 ± 1.17 y) performed the Single Leg Countermovement Jump in vertical (SLCJ-V), horizontal (SLCJ-H), and lateral (SLCJ-L) directions, the COD and the 10-m sprint. Results showed statistical differences between limbs in all the neuromuscular tests (p < 0.001). The Kappa coefficient showed poor to fair levels of agreement between tasks (K range = -0.087 to 0.233), indicating that asymmetries rarely favoured the same limb between skills. Additionally, small and non-significant correlations were found between the linear sprint capacity and the COD ability. The findings of the present study highlight the independent directionality of asymmetries across tests. The COD deficit does not appear to be much more advantageous than COD total time to measure asymmetry. Practitioners are encouraged to use a fitness testing battery to detect existing side differences and each ability should be specifically trained with functional tasks.

scholarly journals Examination of Cognitive Flexibility Levels of Young Individual and Team Sport Athletes

2018 ◽  
Vol 6 (8) ◽  
pp. 149 ◽  
Author(s):  
Şehmus Aslan
Keyword(s):  
High School Students ◽  
Cognitive Flexibility ◽  
Female Athletes ◽  
Team Sports ◽  
Team Sport ◽  
Study Data ◽  
Validity And Reliability ◽  
School Students ◽  
The Individual ◽  
Individual Sports

The purpose of this study was to compare the level of cognitive flexibility of individual and team athletes who are students. The study included a total of 237 volunteer athletes, comprising 140 males (59.1%) and 97 females (40.9%) with a mean age of 18.98 ± 2.18 years (range, 16-26 years) who were licensed to participate in individual and team sports. Study data were collected using the Cognitive Flexibility Scale developed by Martin and Rubin (1995), which consists of 12 items in total. International validity and reliability studies were conducted by Martin and Rubin, and Turkish validity and reliability studies were conducted by Çelikkaleli on high school students (Çelikkaleli, 2014). The scores of the Cognitive Flexibility Scale were found to be higher in the team sports athletes compared with the individual sports athletes (p<0.05). No difference was determined between the levels of cognitive flexibility in male and female athletes. The results indicated that the cognitive flexibility levels of team athletes are higher than those of individual athletes.

scholarly journals Validity of a Local Positioning System during Outdoor and Indoor Conditions for Team Sports

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5733
Author(s):  
Prisca S. Alt ◽  
Christian Baumgart ◽  
Olaf Ueberschär ◽  
Jürgen Freiwald ◽  
Matthias W. Hoppe
Keyword(s):  
Team Sports ◽  
Team Sport ◽  
Positioning System ◽  
Typical Error ◽  
Local Positioning System ◽  
Filtering Technique ◽  
Indoor Conditions ◽  
The Impact ◽  
And Training ◽  
Tracking Technology

This study aimed to compare the validity of a local positioning system (LPS) during outdoor and indoor conditions for team sports. The impact of different filtering techniques was also investigated. Five male team sport athletes (age: 27 ± 2 years; maximum oxygen uptake: 48.4 ± 5.1 mL/min/kg) performed 10 trials on a team sport-specific circuit on an artificial turf and in a sports hall. During the circuit, athletes wore two devices of a recent 20-Hz LPS. From the reported raw and differently filtered velocity data, distances covered during different walking, jogging, and sprinting sections within the circuit were computed for which the circuit was equipped with double-light timing gates as criterion measures. The validity was determined by comparing the known and measured distances via the relative typical error of estimate (TEE). The LPS validity for measuring distances covered was good to moderate during both environments (TEE: 0.9–7.1%), whereby the outdoor validity (TEE: 0.9–6.4%) was superior than indoor validity (TEE: 1.2–7.1%). During both environments, validity outcomes of an unknown manufacturer filter were superior (TEE: 0.9–6.2%) compared to those of a standard Butterworth filter (TEE: 0.9–6.4%) and to unprocessed raw data (TEE: 1.0–7.1%). Our findings show that the evaluated LPS can be considered as a good to moderately valid tracking technology to assess running-based movement patterns in team sports during outdoor and indoor conditions. However, outdoor was superior to indoor validity, and also impacted by the applied filtering technique. Our outcomes should be considered for practical purposes like match and training analyses in team sport environments.

scholarly journals Red, Amber, or Green? Athlete Monitoring in Team Sport: The Need for Decision-Support Systems

2017 ◽  
Vol 12 (s2) ◽  
pp. S2-73-S2-79 ◽  
Author(s):  
Samuel Robertson ◽  
Jonathan D. Bartlett ◽  
Paul B. Gastin
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Team Sports ◽  
Team Sport ◽  
Individual Performance ◽  
Color Coding ◽  
Traffic Light ◽  
Athlete Monitoring ◽  
Key Stakeholders

Decision-support systems are used in team sport for a variety of purposes including evaluating individual performance and informing athlete selection. A particularly common form of decision support is the traffic-light system, where color coding is used to indicate a given status of an athlete with respect to performance or training availability. However, despite relatively widespread use, there remains a lack of standardization with respect to how traffic-light systems are operationalized. This paper addresses a range of pertinent issues for practitioners relating to the practice of traffic-light monitoring in team sports. Specifically, the types and formats of data incorporated in such systems are discussed, along with the various analysis approaches available. Considerations relating to the visualization and communication of results to key stakeholders in the team-sport environment are also presented. In order for the efficacy of traffic-light systems to be improved, future iterations should look to incorporate the recommendations made here.

Time spent below a random threshold by a Poisson driven sequence of observations

2003 ◽  
Vol 40 (03) ◽  
pp. 807-814 ◽  
Author(s):  
S. N. U. A. Kirmani ◽  
Jacek Wesołowski
Keyword(s):  
Poisson Process ◽  
Asymptotic Distribution ◽  
Random Variables ◽  
Nonhomogeneous Poisson Process ◽  
System Level ◽  
Homogeneous Poisson Process ◽  
Random Threshold ◽  
The Mean ◽  
Current Value ◽  
Independent And Identically Distributed

The mean and the variance of the time S(t) spent by a system below a random threshold until t are obtained when the system level is modelled by the current value of a sequence of independent and identically distributed random variables appearing at the epochs of a nonhomogeneous Poisson process. In the case of the homogeneous Poisson process, the asymptotic distribution of S(t)/t as t → ∞ is derived.

Boys’ Participation Styles in a Middle School Physical Education Team Sports Unit

1985 ◽  
Vol 4 (2) ◽  
pp. 100-110 ◽  
Author(s):  
Patricia S. Griffin
Keyword(s):  
Middle School ◽  
Physical Education ◽  
Instructional Strategies ◽  
Contextual Factors ◽  
Team Sports ◽  
Team Sport ◽  
Gender Group ◽  
Socioeconomic Characteristics ◽  
Participation Styles ◽  
School Team

The purpose of this study was to identify boys’ participation styles in a middle-school physical education team sports unit. Through the use of class observations, formal interviews, and informal discussions with the teachers, five styles of participation were identified: (a) machos, (b) junior machos, (c) nice guys, (d) invisible players, and (e) wimps. Several contextual factors are discussed as potential contributors to these participation styles. They are the availability of out-of-school team sport leagues, the racial and socioeconomic characteristics of the community, the age of the students observed, the interactions with teachers and other students in the classes, and the instructional strategies that teachers chose. The importance of identifying the variety of participation styles within each gender group, as well as identifying differences between girls and boys in physical education, is discussed.

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