The Hello Football Index is a set of price discovery algorithms designed to measure the value of a football player in real time.
How does it work ?
The Hello Football Index determines a player’s value through the real-time monitoring and analysis of three sets of data:
In-game and season statistics
Local and worldwide rankings
Personal and team trophies
Previous or imminent transfers
Social media status
Overall media performance
Information is filtered based on the specifications mentioned above as well as on other triggers, including the number of times the information has appeared, its validity, and much more. All of this information is then weighed against each other to determine the importance of each factor in relation to the next one, and how this effectively affects the player’s market valuation.
Why is it important ?
Big Data is rapidly gaining importance in worldwide football clubs’ internal decision making, and even serves as a valuable tool for global media bodies and all major players in the football industry.
Media bodies are increasing their use of data in order to promote their expertise on team’s performance, or a player’s workrate. Major sports channels use extensive data in order to provide in-depth match analysis on a daily basis.
Football clubs who wish to scout for a specific type of player with particular abilities can use data to narrow their seach down to a shortlist of potential candidates; and even go as deep as using data to help make the decision between two final candidates, thus considerably lowering the risk in player acquisition. We often hear football managers talk about using their “gut instinct” when dealing with a transfer dilemma, but even the most experienced coach needs data in order to refine his decision making. Consequently, scouts and agents can also use data to identify and promote talent, respectively.
The Hello Football Index removes any bias and uses pure statistical analysis in order to determine the real-time market value of a player.
Hello Football collects information through the broad processing of big data indexing and web crawling. We introduce a new way of perfecting the real-time valuation of football players.