Training

Managers can train their players to upgrade their natural skills. Training happens in a two steps process to prevent the system getting gamed by premining/timing the upgrade transaction. Managers can select the player and the skill to train, and send the first transaction to start the training. If the first transaction is successful, the player can try to level up their trained skill with a second transaction. It is important to strategically choose which player and skill to train, as training success depends on both chances and player attributes. In particular:

• The success of the first training step is calculated as follows: Step1Success = [(RandomValue * learningRate) % 20 > playerSkill]. Meaning that it is much harder to train a skill already high compared to low level skills.

• The success of the second training step is 25%, based on chance alone.