How do you value Premier League player?

A recent article by, Harry Maguire is statistically only the Premier Leagues 14th best centreback recognises statistical data to evaluate a English Premier League (EPL) players. The article continues, Harry Maguire amongst his professional positional peers is not at the top of his trade. However, this has not stopped the hype or the £80 million outlier trade by Manchester United FC (see note below ESPN), moreover this valuation does not take into consideration multinational corporate money investment (see Note below). As far as the player is considered, this is not his overall position amongst his peers, but indecently ranked at 60th best defensive player in the league. Now if stats are to be believed much like individuals credit scores (highlighting the performance of a individual in their working life) than this player’s overall value is inflated at around £80 million (Huffington Global). In my opinion, not only is his value inflated, it’s also delusional to think that a football club size of Manchester United FC are paying for a mediocre product that statistically is a massive performance and financial risk, they should not even consider him. This shows a lack of thought by the club and that the player in focus is being valued as a emotional transaction (stop the rivals pouncing in) and not on the merits of performance indexed by

It’s worth comparing Harry Maguire to the No.1 EPL defender Virgil van Dijk ranked and valued at Number.1 It is no wonder, then, that many teams see modeling transfer prices as a task too thankless to contemplate. Though Manchester City, Liverpool and Chelsea all work to some sort of formal methodology, the staff of StatDNA, Arsenal’s analytics arm, argues that every deal is too dependent on context to create a coherent approach.

StatDNA was formed in 2009 and the CEO, Jaeson Rosenfeld, presides over a small but highly skilled team in the US. Rosenfeld, whose expertise covers analytics, offshore operations management and software development, is also the co-founder of Digital Divide Data, whose stated mission is to help the world’s poorest benefit from information technology by creating sustainable social enterprises. DDD employ 500 disadvantaged people in their operating centres in Cambodia and Laos, and they act as StatDNA’s operations partner, providing a workforce that can produce detailed video analysis (1)(2) and performance analysis (3)

Note: Football financial and player performance analysis is growing at exponential rate due to football rich and poor notions: Firstly financial gap (financial club gap; iNews, The Business Desk, ESPN, Deloitte Report 2019, PKF at al., and articles CityAM, Economist and theGuardian); and Secondly the risks undertaken by traditional clubs as well as grassroots to reduce their chance taken when purchasing players can be highlighted by the investment made by various clubs, this is further highlighted by articles written and sports performance companies founded or analysis startups acquired over the past decade.

Soccer Analytics Forbes(a), OptaPro(b), total football analysis(c), match analysis(d), StatsBomb(e), ProZone(f)(g), STATS LLC announced 2015 that it has acquired Prozone and finally dartfish(i)

Data analytics used as tool for the lower leagues (j)

The CIES Football Observatory is a research group within the International Centre for Sports Studies (CIES), an independent study centre located in Neuchâtel, Switzerland. The CIES Football Observatory specialises in the statistical analysis of football. It was created in 2005 by Dr. Raffaele Poli and Dr. Loïc Ravenel. CIES Football Observatory

infograph Deloitte report 2019 (+) pdf

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