A case study assessing possession regain patterns in English Premier League Football

Jamil, Mikael

doi:10.1080/24748668.2019.1689752

Cited by 19 publications

(11 citation statements)

References 49 publications

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“…Technical performance data were utilised in this study and data were provided by Opta Sports -a high degree of reliability was previously reported by Liu et al (2013) and data sets sourced by Opta are considered to be the gold standard (Sapp et al, 2018). A wide range of variables collected by Opta have been frequently utilised in many previous studies on football (Ermidis et al, 2019;Jamil, 2019;Jamil & Kerruish, 2020;Lepschy et al, 2020;Liu, Yi et al, 2015;Mclean et al, 2019;Yi et al, 2019). Table 1 presents a list of operational purposes for all independent variables utilised in this study; all definitions were obtained from either the official Opta F24 appendices or the Opta website*.…”

Section: Data and Statistical Analysesmentioning

confidence: 99%

An investigation identifying which key performance indicators influence the chances of promotion to the elite leagues in professional European football

Jamil

Liu

Phatak

et al. 2021

International Journal of Performance Analysis in Sport

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Section: Data and Statistical Analysesmentioning

confidence: 99%

An investigation identifying which key performance indicators influence the chances of promotion to the elite leagues in professional European football

Jamil

Liu

Phatak

et al. 2021

International Journal of Performance Analysis in Sport

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“…The criteria are determined taking into account preceding studies and data availability. Researchers in performance analysis in football determined that attempts on target, possession of ball, pass percentage and total goals are key indicators to assess offensive performance of football teams (Chassy et al, 2018;Jones et al, 2004;Lago-Peñas et al, 2011;Reilly et al, 2011;Jamil, 2019). Possession of ball is an important indicator to reveal which side dominates the match.…”

Section: Decision Analysis Of Football Teamsmentioning

confidence: 99%

A comparative multi criteria decision analysis of football teams: evidence on FIFA world cup

Gökgöz

Yalçın

2021

TPM

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Purpose World Cup tournament is one of the most popular international organizations in football. The purpose of this paper is to investigate the overall performance of World Cup 2018 teams via multi-criteria decision-making (MCDM) approaches. Design/methodology/approach The presented approach adopts entropy integrated Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Weighted Aggregated Sum Product Assessment (WASPAS) approaches to weight the criteria and evaluate the performance of World Cup 2018 teams. Initially, the authors compute weight criteria via Shannon Entropy method. Then, the authors compute and compare the results of TOPSIS and WASPAS methods so as to evaluate the performance of World Cup 2018 teams. Findings According to TOPSIS and WASPAS results, Belgium has demonstrated better performance in comparison to other teams. As per to the empirical results, both methods have shown a significant harmony in terms of performance figures. There is also strong positive correlation between TOPSIS and WASPAS method results. This result confirms the stability of the analysis. Originality/value This paper contributes to sport performance management literature by using MCDM methods in FIFA World Cup 2018 teams. To the best of the authors’ knowledge, this is the first paper to measure performance of an international football organization via MCDM methods.

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“…1 Death bowling was defined as having bowled in the last four overs of the first innings throughout the entire tournament (in cases where the full 50-overs had been bowled) and the last four overs of the second innings in closely contested cases where matches were won or lost by ≤24 runs, 2 in order to acquire a fair representation of death bowling performances. Performance data were provided by Opta sports (Jamil (2019), and Liu et al (2013) have previously reported a high degree of accuracy). A total of 96 bowlers were analysed in the primary analysis, 36 of which had bowled some of their overs at the death (secondary analyses).…”

Section: Design and Datamentioning

confidence: 99%

Investigating the impact age has on within-over and death bowling performances in international level 50-over cricket

Jamil

Harkness

Mehta

et al. 2021

Research in Sports Medicine

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The aims of this investigation were to determine if ageing effects were present in elite international level cricket. Ball-by-ball data were analysed for 96 bowlers in the 50-Over World Cup 2019. Bowlers were categorized into 1 of 3 age groups GROUP 1 (18-24), GROUP 2 (25-31) and GROUP 3 (32+). Ordinal Logistic Regressions (OLR) and Multinomial Logistic Regressions (MLR) were conducted to estimate the relationship between age and bowling performances. OLR Results revealed that younger bowlers were significantly more likely to concede a greater number of runs on the last ball of their overs than their older counterparts (p = 0.001). A separate MLR analysis was conducted for those bowlers entrusted to bowl during the "death" phase of an innings, and results revealed that GROUP 2 bowlers were significantly more likely to take wickets than either GROUP 1 (p = 0.021) or GROUP 3 (p = 0.022) bowlers. The evidence indicates that wicket taking "death bowlers" will likely perform at their peak between the ages of 25-31, which could inform the bowling strategy of team captains. Furthermore, there is evidence to suggest that younger bowlers are not as skilled as their older counterparts at restricting runs conceded.

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A case study assessing possession regain patterns in English Premier League Football

Cited by 19 publications

References 49 publications

An investigation identifying which key performance indicators influence the chances of promotion to the elite leagues in professional European football

An investigation identifying which key performance indicators influence the chances of promotion to the elite leagues in professional European football

A comparative multi criteria decision analysis of football teams: evidence on FIFA world cup

Investigating the impact age has on within-over and death bowling performances in international level 50-over cricket

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