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Penalty Corner Routines in Elite Women’s Indoor Field Hockey: Prediction of Outcomes based on Tactical Decisions

Vinson, Don ORCID: https://orcid.org/0000-0003-3116-4828, Padley, S., Croad, A., Mark, J., Brady, A. and James, D. (2013) Penalty Corner Routines in Elite Women’s Indoor Field Hockey: Prediction of Outcomes based on Tactical Decisions. Journal of Sports Sciences, 31 (8). pp. 887-893. ISSN Print: 0264-0414 Online: 1466-447X

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Abstract

Indoor hockey is a highly competitive international sport, yet no research to date has investigated the key actions within this sport. As with outdoor field hockey, penalty corners represent one of the most likely situations in which goals can be scored. All 36 matches of the round-robin phase of the 2010-2011 England Hockey League Women’s Premier Division ‘Super Sixes’ competition were analysed with the purpose of establishing which factors can predict the scoring of a goal using Binary Logistic Regression analysis. Seventy two (22.6%) of the 319 observed penalty corners resulted in a goal. The strongest predictor of scoring a goal was taking the penalty corner from the goalkeeper’s right. Based on the odds ratio (OR), the odds of the attacking team scoring were 2.27 (CI = 1.41 - 3.65) times higher with penalty corners taken from the goalkeeper’s right as opposed to the left. Additionally, if the goalkeeper decided to rush to the edge of the circle, the odds of the attacking team failing to score were 2.19 (CI = 1.18 - 4.08) times higher compared to when the goalkeeper remained near the goal line. These results suggest that strategic decisions from the players and coaches have an important part to play in the success of penalty corners. Future research should investigate the impact of goalkeepers’ movement and further examine the technical and tactical intricacies of penalty corners.

Item Type: Article
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The published article can be accessed via the Official URL.

Uncontrolled Discrete Keywords: tactical decision, coaching, observational investigation, binary logistic regression analysis
Subjects: Q Science > Q Science (General)
Divisions: College of Business, Psychology and Sport > School of Sport and Exercise Science
Related URLs:
Depositing User: Don Vinson
Date Deposited: 16 Jun 2015 15:34
Last Modified: 17 Jun 2020 17:07
URI: https://eprints.worc.ac.uk/id/eprint/3756

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