Mikael joined us in the summer of 2016 after completing his interdisciplinary PhD in Sports Science and Sports Economics. His research concentrated specifically on the productivity levels of teams, positional units and individual players performing in German Bundesliga football. Through his research Mikael was able to prove the existence of interdependency between the performances of direct competitors, thereby making a significant advancement to knowledge in the budding field of performance analysis in sport.
Mikael also has a strong background in finance. Prior to his PhD programme Mikael was studying towards his MSc in International Banking and Finance in which he achieved a Distinction. Mikael also obtained a BA Honours degree in Accounting and Financial Management in the summer of 2008. Through his previous experiences, Mikael has become proficient in the use and understanding of a wide range of econometric and mathematical programming techniques. Mikael also possesses advanced expertise in the use of economic, mathematical and statistical software such as STATA, SPSS, Eviews and Microsoft excel.
In addition to his responsibilities with the University of Suffolk Mikael also works closely with Ipswich Town FC Academy on applied performance analysis work, and leads original research in this field for the University and Football Club partnership. Consequently, Mikael is currently in the process of rapidly expanding his research portfolio, with several publications upcoming in the near future. Mikael’s research interests include, performance analysis in sport, production functions, performance modelling, quantitative methods, econometric modelling, programming and predictive modelling.
Mikael is accomplished in the construction of performance models that accurately isolate and analyse individual player performance (1-on-1 analysis) as well as team performances in sport. Mikael also possesses advanced expertise in the use and understanding of a wide range of analysis techniques such as panel data analysis, two stage least squares regression, three stage least squares regression, principal component analysis, probit regression, logit regression, factor analysis, stochastic frontier analysis and data envelopment analysis to name but a few. Mikael also possesses vast expertise in the use and understanding of programming languages such as, VBA, C, C++, R and Python as well as economic, mathematical and statistical software such as STATA, SPSS, and Eviews.
Jamil, M., & Kerruish, S., (2020) At what age are English Premier League players at their most productive? A case study investigating the peak performance years of elite professional footballers, International Journal of Performance Analysis in Sport, DOI: 10.1080/24748668.2020.1833625
Jamil, M. (2020). Where do the best technical football players in the world come from? Analysing the association between technical proficiency and geographical origin in elite football. Journal of Human Sport and Exercise, 17(2), IN PRESS . https://doi.org/10.14198/jhse.2022.172.02
Jamil, M., Littman, P., & Beato, M. (2020). Investigating inter-league and inter-nation variations of key determinants for penalty success across European football. International Journal of Performance Analysis in Sport, 20(5), 892–907. https://doi.org/10.1080/24748668.2020.1794720
Jamil, M., McErlain-Naylor, S. A., & Beato, M. (2020). Investigating the impact of the mid-season winter break on technical performance levels across European football – Does a break in play affect team momentum? International Journal of Performance Analysis in Sport, 20(3), 406–419. https://doi.org/10.1080/24748668.2020.1753980
Jamil, M. (2019). A case study assessing possession regain patterns in English Premier League Football. International Journal of Performance Analysis in Sport, 19(6), 1011–1025. https://doi.org/10.1080/24748668.2019.1689752
Beato, M., Jamil, M., & Devereux, G. (2018). Reliability of internal and external load parameters in recreational football (soccer) for health. Research in Sports Medicine, 26(2), 244–250. https://doi.org/10.1080/15438627.2018.1431532
Beato, M., Jamil, M., & Devereux, G. (2018). The Reliability of Technical and Tactical Tagging Analysis Conducted by a Semi-Automatic VTS In Soccer. Journal of Human Kinetics, 62(1), 103–110. https://doi.org/10.1515/hukin-2017-0162
Beato, M., & Jamil, M. (2018). Intra-system reliability of SICS: video-tracking system (Digital.Stadium®) for performance analysis in soccer. The Journal Of Sports Medicine And Physical Fitness, 58(6), 831–836. https://doi.org/10.23736/S0022-4707.17.07267-X
Jamil, M. (2019). Team Production and Efficiency in Sports. In P. Downward, B. Frick, B. R. Humphreys, T. Pawlowski, J. E. Ruseski, & B. P. Soebbing (Eds.) The Sage Handbook of Sports Economics (pp. 210-218). London: Sage.