Data-driven player valuation
SciSports calculates Estimated Transfer Values (ETV) for more than 240,000 professional football players in over 250 leagues. We do this by using a machine learning model that is trained on around 600,000 historical transfers to find patterns in the transfer fees paid for transfers in the past. In combination with other influential attributes this results in authentic player valuations that are updated every month. Our model is built to best represent the intrinsic value of a player based on historic and futuristic on-pitch added value under free market circumstances.
INFORMATION TAKEN INTO ACCOUNT
In order to have the most objective view to value a player, we broadly consider the following information when calculating Estimated Transfer Values (ETV):
- Player age
- Player position
- Player performance
- Current player level
- Projected potential level
- Recent playing time
- Player experience
- Number of matches played
- Number of minutes played
- Experience in domestic leagues
- Experience in (inter)national tournaments
- League strength
- Contract situation
Expert panel
With our mission to constantly deliver the best-in class player valuations, we have established an expert panel led by our partner FootballTransfers that will continually iterate on the Estimated Transfer Values we generate and assure a layer of transparency to the creation process.
What people in the field have to say about SciSports
“FootballTransfers has grown rapidly as a brand since its launch in 2020 and collaboration with a respected partner such as SciSports will power our journey to becoming the most trusted, authoritative source of player valuations in the world.”
WHY OUR VALUES ARE MARKET-LEADING
Based on extensive market research we’re confident that our Estimated Transfer Values (ETV) are the best in the industry. Here are the key reasons why:
- With 240,000 players in 250 leagues, we have the biggest database of player values available in the market that are updated every single month
- By relying on a powerful SciSports algorithm, that is trained on 600,000 historical transfers, and a dedicated expert panel managed by FootballTransfers, we’ve taken an innovative approach that the industry has not seen before
- Some companies make use of an arbitrary process where players are valued based on estimations a few times per year, whereas we update and crunch the numbers every single month to provide a more accurate view on what a player is worth
- Unlike any other party, we are able to deliver historical development, value ranges and a single value to best express a player’s valuation
- SciSports is known for its data analytics work that is adopted by professional football organisations all over the world and has an enormous amount of first-hand experience when it’s comes to objectively quantifying football players
