Identification, Computational Examination, Critical Assessment and Future Considerations of Distance Variables to Assess Collective Tactical Behaviour in Team Invasion Sports by Positional Data: A Systematic Review
- PMID: 32192000
- PMCID: PMC7143020
- DOI: 10.3390/ijerph17061952
Identification, Computational Examination, Critical Assessment and Future Considerations of Distance Variables to Assess Collective Tactical Behaviour in Team Invasion Sports by Positional Data: A Systematic Review
Abstract
The aim of the study was the identification, computational examination, critical assessment and future considerations of distance variables to assess collective tactical behaviour in team invasion sports by positional data. A total of 3973 documents were initially retrieved. Finally, 72 articles met the inclusion criteria, but only 26 suggested original tactical variables based on the distance variables. The distance variables can be classified into player-player, player-space, player-ball, and Geometrical Centre (GC)-GC /player/space/goal. In addition, several nonlinear techniques have been used to analyse the synchronisation and predictability of the distance variables in team invasion sports. Player-opponent distance is of special interest in those sports in which man-marking is commonly used, and in the micro-structure close to scoring situations in all sports. In addition, player-player distances are used to measure the length and the width of the team and player-GC distance to assess the dispersion of the team. Player-space distances have been measured to assess the distance of the player/team-line to relevant areas of the playing space. Several techniques have been applied to analyse the synchronisation (i.e., Hilbert transformation and cluster analyses) and the complexity and regularity or predictability (i.e., approximate entropies, sample entropy, cross-sample entropy and average mutual information) of the distance variables in team invasion sports, revealing the lack of consensus. Although the distance variables may be interesting tactical variables when considered in isolation, it would be enriching to analyse the relationship among these variables.
Keywords: dyad; entropy; relative phase; tactic; team behaviour.
Conflict of interest statement
The authors declare that they have no conflicts of interest relevant to the content of this review.
Similar articles
-
A systematic review of collective tactical behaviour in futsal using positional data.Biol Sport. 2021 Mar;38(1):23-36. doi: 10.5114/biolsport.2020.96321. Epub 2020 Aug 3. Biol Sport. 2021. PMID: 33795913 Free PMC article. Review.
-
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.J Hum Kinet. 2021 Jan 30;77:205-221. doi: 10.2478/hukin-2021-0021. eCollection 2021 Jan. J Hum Kinet. 2021. PMID: 34168705 Free PMC article.
-
Effects of emphasising opposition and cooperation on collective movement behaviour during football small-sided games.J Sports Sci. 2016 Jul;34(14):1346-54. doi: 10.1080/02640414.2016.1143111. Epub 2016 Feb 29. J Sports Sci. 2016. PMID: 26928336
-
A Systematic Review of Collective Tactical Behaviours in Football Using Positional Data.Sports Med. 2020 Feb;50(2):343-385. doi: 10.1007/s40279-019-01194-7. Sports Med. 2020. PMID: 31571155
-
Effects of manipulating the number of targets in U9, U11, U15 and U17 futsal players' tactical behaviour.Hum Mov Sci. 2018 Oct;61:19-26. doi: 10.1016/j.humov.2018.06.017. Epub 2018 Jul 6. Hum Mov Sci. 2018. PMID: 30005844
Cited by
-
Reference values for collective tactical behaviours based on positional data in professional football matches: a systematic review.Biol Sport. 2022 Jan;39(1):110-114. doi: 10.5114/biolsport.2021.102921. Epub 2021 Mar 6. Biol Sport. 2022. PMID: 35173369 Free PMC article. Review.
-
The Influence of Antenna Height on the Measurement of Collective Variables Using an Ultra-Wide Band Based Local Positioning System in Team Sports.Sensors (Basel). 2021 Apr 1;21(7):2424. doi: 10.3390/s21072424. Sensors (Basel). 2021. PMID: 33915959 Free PMC article.
-
A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports.Sensors (Basel). 2020 Apr 16;20(8):2271. doi: 10.3390/s20082271. Sensors (Basel). 2020. PMID: 32316325 Free PMC article.
-
A systematic review of collective tactical behaviour in futsal using positional data.Biol Sport. 2021 Mar;38(1):23-36. doi: 10.5114/biolsport.2020.96321. Epub 2020 Aug 3. Biol Sport. 2021. PMID: 33795913 Free PMC article. Review.
-
Different Sampling Frequencies to Calculate Collective Tactical Variables during Competition: A Case of an Official Female's Soccer Match.Sensors (Basel). 2022 Jun 14;22(12):4508. doi: 10.3390/s22124508. Sensors (Basel). 2022. PMID: 35746288 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous