Identifying the performance characteristics explanatory of fight outcome in elite Pencak Silat matches

Jacky Soo, Carl T. Woods, Saravana Pillai Arjunan, Abdul Rashid Aziz and Mohammed Ihsan

International Journal of Performance Analysis in Sport, 2018, vol. 18, issue 6, 973-985

Abstract: This study determined the performance characteristics associated with successful exponents in Pencak Silat combat, as well as examined the relationship between performance indicators and match outcome (2015 South-East Asian Games and the 2016 Pencak Silat World Championship) using both linear (binary logistic regression) and non-linear (conditional interference (CI) classification tree) statistical techniques. A magnitude-based approach was used to compare for differences in movement characteristics between semi-finalist (SF) and non-semi-finalist (NSF). Results showed that SF preferentially utilised the single front kick (effect sizes; ES = 0.29; likely) in offence. Also, SF performed more defensive side (ES = 0.27; possibly) and front kick (ES = 0.41; very likely) during defensive manoeuvres. During counter-attacks, SF executed more roundhouse kick (ES = 0.31; likely), scissor takedown (ES = 0.33; likely) and throws (ES = 0.40; very likely). The binary logistic regression and CI classification tree analyses identified “total takedown success”, “defending takedown success” and “catch success” as the most influential in explaining match outcome, with both models achieving 75% classification accuracy. The present findings highlight key fighting characteristics and performance indicators associated with match success. The incorporation of the non-linear CI classification tree may provide coaches with a guided and practical tool to aid with decision-makings and devising match strategies.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/24748668.2018.1539381 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:rpanxx:v:18:y:2018:i:6:p:973-985

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RPAN20

DOI: 10.1080/24748668.2018.1539381

Access Statistics for this article

International Journal of Performance Analysis in Sport is currently edited by Peter O'Donoghue

More articles in International Journal of Performance Analysis in Sport from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().