The Soccer League Competition (SLC) algorithm is a new metaheuristic approach intendended to solve complex optimization problems. It is based in the interaction model present in soccer teams and the goal to win every match, becoming the best team and league of players. This paper presents adaptations to the initial mode of SLC for the purpose of being applied to the Set Covering Problem (SCP) with a Python implementation.