scholarly journals Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes

2019 ◽  
Vol 16 (24) ◽  
pp. 5090 ◽  
Author(s):  
Julen Castellano ◽  
Miguel Pic
Keyword(s):  
High Pressure ◽  
Team Performance ◽  
Performance Indicators ◽  
Principal Component ◽  
Average Performance ◽  
Player Profiles ◽  
Varied Range ◽  
Direct Attack

The objective was to model the teams’ styles of play (SoPs) in elite football and relate them to the match result. For this, the twenty Spanish first division teams in the 2016–2017 season were analysed, using nine interaction performance indicators (IRi). A principal component (PC) analysis was applied. From two PCs four SoPs were established: deep or high-pressure defending, and elaborate or direct attack. The SoPs were distributed according to average performance obtained throughout the championship. The connection between the preferred SoP and the final result was estimated. Teams with elaborate offensive styles and teams defensively minded got better results. In addition, most of the teams showed variability in their SoP. The applications of the study are (1) the IRi have served to identify SoP and can be used as a reference to optimize team performance; (2) teams should have a varied SoP repertoire, as well as being prepared to deal with different SoPs; (3) particular player profiles should be connected with the desired SoP when creating the squad and (4) clubs should develop a varied range of SoPs at their academies.

scholarly journals Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes

2019 ◽  
Author(s):  
Julen Castellano Paulis ◽  
Miguel Pic
Keyword(s):  
High Pressure ◽  
Team Performance ◽  
Performance Indicators ◽  
Principal Component ◽  
Average Performance ◽  
Player Profiles ◽  
Varied Range ◽  
Direct Attack

The objective was to model the teams’ style of play (SoP) in elite football and relate them to the match result. For this, the twenty Spanish first division teams in the 2016-17 season were analysed, using nine interaction performance indicators (IRi). A principal component (PC) analysis was applied. From two PCs four SoPs were established: deep or high-pressure defending, and elaborate or direct attack. The SoPs were distributed according to average performance obtained throughout the championship. The connection between the preferred SoP and the final result was estimated. Teams with elaborate offensive styles and teams defensively minded got better results. In addition, most of the teams showed variability in their SoP. The applications of the study are: 1) the IRi have served to identify SoP and can be used as a reference to optimize team performance; 2) teams should have a varied SoP repertoire, as well as being prepared to deal with different SoPs; 3) particular player profiles should be connected with the desired SoP when creating the squad. 4) clubs should develop a varied range of SoPs at their academies.

scholarly journals Application of Benchmarking and Principal Component Analysis in Measuring Performance of Public Irrigation Schemes in Kenya

Agriculture ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. 162 ◽  
Author(s):  
Faith Muema ◽  
Patrick Home ◽  
James Raude
Keyword(s):  
Principal Component Analysis ◽  
Performance Indicators ◽  
Principal Component ◽  
Component Analysis ◽  
Performance Score ◽  
Irrigation Scheme ◽  
Western Kenya ◽  
Average Performance ◽  
Management Measures ◽  
Linear Aggregation

The inefficient water use, and variable and low productivity in Kenyan public irrigation schemes is a major concern. It is, therefore, necessary to periodically monitor and evaluate the performance of public irrigation schemes. This prompted evaluation of performance of three rice growing irrigation schemes in western Kenya using benchmarking and principal component analysis. The aim of the study was to quantify and rank the performance of selected irrigation schemes. The performance of the irrigation schemes was evaluated for the period from 2012 to 2016 using eleven performance indicators under agricultural productivity, water supply and financial performance categories. The performance indicators were weighted using principal component analysis and combined to form a single performance score using linear aggregation method. The average performance in the Ahero, West Kano and Bunyala irrigation schemes was 48%, 49% and 56%, respectively. Based on performance score, the Bunyala irrigation scheme is the highest performing rice irrigation scheme in western Kenya. The three irrigation schemes have an average performance. Operation and management measures to improve the current performance of the irrigation schemes are needed.

Exploring the effect of various match factors on team playing styles in the National Rugby League

2021 ◽  
pp. 174795412199723
Author(s):  
C Wedding ◽  
CT Woods ◽  
WH Sinclair ◽  
MA Gomez ◽  
AS Leicht
Keyword(s):  
Discriminant Analysis ◽  
Team Performance ◽  
Performance Indicators ◽  
Time Course ◽  
Principal Component ◽  
Analytical Techniques ◽  
Rugby League ◽  
Related Factors ◽  
Match Type ◽  
Match Location

Objectives This study examined the effect of match location, score-line, team quality and match outcome on the expression of team playing styles in the National Rugby League (NRL) across the 2015–2019 seasons. Methods Thirty-eight performance indicators (e.g. offloads, runs) from all NRL games (n = 2010) were collected. Match-related factors examined were location (home/away/neutral), match type (absolute score differential), team quality (end of season ladder position) and outcome (win/draw/loss). Factor analysis using principal component analysis (PCA) were run to identify team playing styles, which were inferred from the clustered dimensions (Factors) of team performance indicators. Discriminant analysis was then used to determine the effect of the match factors on team playing styles. Results PCA revealed nine Factors accounting for ∼54% of team performance variance. Discriminant analysis did not meaningfully resolve team playing styles for match type, team quality or location (∼34%, ∼46% and ∼58% classification accuracy, respectively). One discriminant function correctly classified ∼81% of matches based on outcome, including four team playing styles defined as ‘attacking play’, ‘linebreaks’, ‘handling errors’ and ‘conceded linebreaks’. Conclusions Team playing styles characterised by ‘attacking play’ and ‘linebreaks’, coupled with relative defensive efficiency showed the greatest association with winning regardless of team quality, match location or match type. Using similar sport analytical techniques, additional insight into the importance of various team playing styles over the time-course of a match may allow teams to further extrapolate the likelihood of success in real-time.

An Input–Process–Output Model of Pilot Core Competencies

2017 ◽  
Vol 7 (2) ◽  
pp. 78-85 ◽  
Author(s):  
Heikki Mansikka ◽  
Don Harris ◽  
Kai Virtanen
Keyword(s):  
Path Analysis ◽  
Team Performance ◽  
Core Competencies ◽  
Core Competency ◽  
Principal Component ◽  
Analysis Model ◽  
Input Process ◽  
The Core ◽  
Performance Framework ◽  
Process Output

Abstract. The aim of this study was to investigate the relationship between the flight-related core competencies for professional airline pilots and to structuralize them as components in a team performance framework. To achieve this, the core competency scores from a total of 2,560 OPC (Operator Proficiency Check) missions were analyzed. A principal component analysis (PCA) of pilots’ performance scores across the different competencies was conducted. Four principal components were extracted and a path analysis model was constructed on the basis of these factors. The path analysis utilizing the core competencies extracted adopted an input–process–output’ (IPO) model of team performance related directly to the activities on the flight deck. The results of the PCA and the path analysis strongly supported the proposed IPO model.

Developing key performance indicators for hospital facilities management services: a developing country perspective

2020 ◽  
Vol 27 (9) ◽  
pp. 2715-2735 ◽  
Author(s):  
Daniel Amos ◽  
Cheong Peng Au-Yong ◽  
Zairul Nisham Musa
Keyword(s):  
Performance Measurement ◽  
Balanced Scorecard ◽  
Performance Indicators ◽  
Principal Component ◽  
Key Performance Indicators ◽  
Public Hospitals ◽  
Facilities Management ◽  
Content Type ◽  
Significant Difference ◽  
Level Of Importance

PurposeKey performance indicators (KPIs) help to monitor performance, thereby revealing the gap between planned and executed results relative to organizational objectives. The purpose of this paper is to develop KPIs for performance measurement of facilities management (FM) services in public hospitals.Design/methodology/approachFollowing a comprehensive literature review of KPIs in FM, a set of KPIs were first selected. This was then subjected to content validation by experts. Thereafter a questionnaire survey was conducted to identify participants perception on the level of importance of the proposed KPIs. The main analytical tool used was SPSS factor analysis/principal component extraction.FindingsAdapting an expanded balanced scorecard typology, the paper identifies 17 KPIs, which are useful for performance improvement of FM. The study also introduces new financial dimensions beyond the traditional cost and profit-centered metrics.Research limitations/implicationsThe study was limited to three FM services. Although the results of the Kruskal–Wallis test shows no significant difference in the level of importance on more than 80% of the indicators, larger sample is required in future studies to examine indicator preference for the respective services. An empirical study to test the proposed indicators to measure FM performance could also be a next step.Originality/valueThe paper presents the first step to develop performance indicators, which are of relevance to FM performance measurement and could be utilized to improve performance. The indicators are largely generic and can easily be adapted by other FM service sectors for performance measurement.

scholarly journals Team performance indicators which differentiate between winning and losing in elite Gaelic football

2019 ◽  
Vol 19 (4) ◽  
pp. 478-490 ◽  
Author(s):  
Declan Gamble ◽  
Jonathan Bradley ◽  
Andrew McCarren ◽  
Niall M. Moyna
Keyword(s):  
Team Performance ◽  
Performance Indicators

Comparison of performance at the 2007 and 2015 Cricket World Cups

2017 ◽  
Vol 12 (3) ◽  
pp. 404-410
Author(s):  
Carl J Petersen
Keyword(s):  
Team Performance ◽  
Negative Correlation ◽  
Effect Size ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Effect Sizes ◽  
Confidence Limits ◽  
World Cup ◽  
Moderate Negative Correlation ◽  
Geographical Locations

To assess tactical changes, we compared team performance indicators between the 2015 and 2007 Cricket World Cup Tournaments. Specifically, we determined magnitudes of differences between winning and losing teams and compared round robin and the knockout or Super 8 phases. Magnitude of difference between teams was established with a standardised (Cohen's) effect size with 90% confidence limits. Taking wickets and having a high batting run rate consistently had large to very large effect sizes across both rounds of both tournaments. A higher percentage of runs in singles had a small to moderate negative correlation with winning across both tournaments (ranging from effect size = −0.28 ± 0.07 to −1.18 ± 0.79 90% CL). The main contribution of this paper is that across eight years and across different geographical locations, key performance indicators had similar magnitudes in 50-over World Cup Cricket. Coaches can be confident in the relevant importance of different performance indicators.

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