Skip to main content
Log in

Spatiotemporal variability of a stadium football pitch during a professional tournament

  • Technical Note
  • Published:
Sports Engineering Aims and scope Submit manuscript

Abstract

Natural turfgrass football pitches are variable across a competitive season. However, short-term variability has not been explored to the same extent, specifically in stadium environments during tournaments. Pitch maintenance and recovery time between matches during tournaments are inherently reduced and may increase spatiotemporal variability of surface characteristics. Therefore, the purpose of this technical note was to present a unique case study investigating short-term variability of surface characteristics within a stadium pitch during a seven-game, 9-day tournament. The study was conducted in December 2020 at a stadium in central Florida during a professional football tournament. The pitch consisted of ‘Latitude 36’ hybrid bermudagrass [Cynodon dactylon L. (Pers.) × C. transvaalensis Burtt-Davy] on a sand rootzone. It was tested daily throughout the tournament at 100 locations using various testing devices that measured surface hardness (Gmax), soil moisture (% volumetric water content), turfgrass cover (0–100%), and normalized difference vegetation index (NDVI; 0–1). Data were analyzed to evaluate the spatial, temporal, and spatiotemporal variability of each surface characteristic. Surface hardness and soil moisture were found to change the least, while turfgrass cover changed the most. Routine, targeted management applications were suggested to alleviate preexisting surface hardness and soil moisture variability, and intently monitoring foot traffic patterns was suggested to aide in more uniform turfgrass cover and normalized difference vegetation index during a tournament. Additional research is needed that explores other stadium scenarios, with the goal of developing data-driven management approaches that assist in providing the most consistent pitch possible in stadiums during professional tournaments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Data Availability

The dataset collected and analyzed during the present study are available from the corresponding author upon a reasonable request.

References

  1. Straw CM, Carrow RN, Bowling WJ et al (2018) Uniformity and spatial variability of soil moisture and irrigation distribution on natural turfgrass sports fields. J Soil Water Conserv 73:577–586. https://doi.org/10.2489/jswc.73.5.577

    Article  Google Scholar 

  2. Forrester SE, Tsui F (2014) Spatial and temporal analysis of surface hardness across a third-generation artificial turf pitch over a year. Proc Inst Mech Eng P J Sport Eng Technol 228:213–220. https://doi.org/10.1177/1754337114523756

    Article  Google Scholar 

  3. Straw CM, Samson CO, Henry GM, Brown CN (2020) A review of turfgrass sports field variability and its implications on athlete–surface interactions. Agron J 112:2401–2417. https://doi.org/10.1002/agj2.20193

    Article  Google Scholar 

  4. Zanetti EM, Bignardi C, Franceschini G, Audenino AL (2013) Amateur football pitches: mechanical properties of the natural ground and of different artificial turf infills and their biomechanical implications. J Sports Sci 31:767–778. https://doi.org/10.1080/02640414.2012.750005

    Article  Google Scholar 

  5. Aldahir PCF, McElroy JS (2014) A review of sports turf research techniques related to playability and safety standards. Agron J 106:1297–1308. https://doi.org/10.2134/agronj13.0489

    Article  Google Scholar 

  6. ASTM International (2018) F1702-10: standard test method for measuring impact-attenuation characteristics of natural playing surface systems using a lightweight portable apparatus. ASTM International. https://doi.org/10.1520/F1702-10.2

  7. FIFA (2022) FIFA natural pitch rating system. FIFA

  8. Noborio K (2001) Measurement of soil water content and electrical conductivity by time domain reflectometry: a review. Comput Electron Agric 31:213–237. https://doi.org/10.1016/s0168-1699(00)00184-8

    Article  Google Scholar 

  9. Patrignani A, Ochsner TE (2015) Canopeo: a powerful new tool for measuring fractional green canopy cover. Agron J 107:2312–2320. https://doi.org/10.2134/agronj15.0150

    Article  Google Scholar 

  10. Xue J, Su B (2017) Significant remote sensing vegetation indices: a review of developments and applications. J Sens. https://doi.org/10.1155/2017/1353691

    Article  Google Scholar 

  11. R Core Team (2020) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria

    Google Scholar 

  12. Hiemstra PH, Pebesma EJ, Twenhöfel CJW, Heuvelink GBM (2009) Real-time automatic interpolation of ambient gamma dose rates from the Dutch radioactivity monitoring network. Comput Geosci 35:1711–1721. https://doi.org/10.1016/j.cageo.2008.10.011

    Article  Google Scholar 

  13. Cressie NAC (1993) Statistics for spatial data. Wiley, New York

    Book  Google Scholar 

  14. Bussberg NW (2021) Spatio-temporal statistics with R. Am Stat 75:114–114. https://doi.org/10.1080/00031305.2020.1865066

    Article  MathSciNet  Google Scholar 

  15. Gräler B, Pebesma E, Heuvelink G (2016) Spatio-temporal interpolation using gstat. R J 8:204. https://doi.org/10.32614/rj-2016-014

    Article  Google Scholar 

  16. Vallejos R, Osorio F, Bevilacqua M (2020) Spatial relationships between two georeferenced variables: with applications in R. Nature Springer, New York, NY, USA

    Book  Google Scholar 

  17. Caple M, James I, Bartlett M (2012) Spatial analysis of the mechanical behaviour of natural turf sports pitches. Sports Eng 15:143–157. https://doi.org/10.1007/s12283-012-0097-4

    Article  Google Scholar 

  18. Huang B (2008) Turfgrass water requirements and factors affecting water usage. Water quality and quantity issues for turfgrass in urban landscapes. Council Agric Sci Technol Spec Publ 27:193–205

    Google Scholar 

  19. Okholm Kryger K, Thomson A, Tang A et al (2022) Ten questions in sports engineering: technology in elite women’s football. Sports Eng 25:25. https://doi.org/10.1007/s12283-022-00384-3

    Article  Google Scholar 

  20. Straw CM, Samson CO, Henry GM, Brown CN (2018) Does variability within natural turfgrass sports fields influence ground-derived injuries? Eur J Sport Sci 18:893–902. https://doi.org/10.1080/17461391.2018.1457083

    Article  Google Scholar 

  21. Straw CM, Henry GM, Shannon J, Thompson JJ (2019) Athletes’ perceptions of within-field variability on natural turfgrass sports fields. Precis Agric 20:118–137. https://doi.org/10.1007/s11119-018-9585-2

    Article  Google Scholar 

  22. Straw CM, Principe FM, Kurtz EL et al (2020) Within-field variability of turfgrass surface properties and athlete performance: modeling their relationship using GPS and GIS technologies. Proc Inst Mech Eng P J Sport Eng Technol 234:170–175. https://doi.org/10.1177/1754337119901090

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Bill Hoffer, Josh Foskett, Jake Seay, and Jorge Lagunes for assisting with data collection.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Conlan M. Burbrink.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is a part of Topical Collection in Sports Engineering on Football Research, edited by Dr. Marcus Dunn, Mr. Johsan Billingham, Prof. Paul Fleming, Prof. John Eric Goff and Prof. Sam Robertson.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Burbrink, C.M., Straw, C.M. Spatiotemporal variability of a stadium football pitch during a professional tournament. Sports Eng 26, 8 (2023). https://doi.org/10.1007/s12283-023-00399-4

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12283-023-00399-4

Keywords

Navigation