StarAlgo and Token Burn

Starcks' player scoring algorithm, known as Star Algo, is an innovative component that underpins the dynamics of Star Player Tokens. Here's how it works in a simple and straightforward way:

Performance Evaluation: At the end of each match, Star Algo evaluates the players' performance based on reliable statistical data. This score reflects how well or poorly the player has performed.

Impact on the Token: based on the score obtained, the algorithm decides to proportionally decrease the amount of tokens available for that player. This process is known as “burn” (the tokens decrease).

Burn Mechanism: If a player performs as expected, the algorithm can automatically “burn” a certain amount of their tokens. This means that these tokens are removed from circulation, reducing the total supply. The tokens are taken from a reserve of 5 million

Effect on Value: by reducing the number of tokens available (burn), the value of the remaining tokens may increase, as they become rarer and potentially more desirable to platform users.

Objective of the Algorithm: the main objective of Star Algo is to link tokens to the actual performance of footballers, making the trading and gaming experience on Starcks dynamic and closely connected to the real world of football. Starcks users, therefore, not only enjoy collecting tokens and using them in the Starcks game, but also become an active part of the success of their favourite players.

Essentially, the Starcks algorithm and burn mechanism help to create a lively and responsive virtual market, where performance on the pitch has a direct and tangible impact on the digital world of tokens.