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Info about your monetary resources is collected from the application you filled out to try to get credit and other places. Information includes your history of paying bills, the number and type of accounts you use, late payments, collection actions, existing debt, how old your accounts are, and other information. As a result of using the Fair, Isaac statistical deal or model, lenders compare this info to the credit actions of consumers with profiles that are similar and assign points for each detail that assists them to foretell which debtor has the most potential to repay an amount that they owe. From this comes the expression "FICO Score" which stands for a credit score employing the Fair, Isaac Company (FICO) formula.

Credit data is weighed according to its type and how old the data is. The more recent the relevant info, the more telling it is. For instance, something that was late by 90 days a while ago can perhaps be less weighted than a more recent 30 day late. The data type also has an effect: how payments were handled in the past (most heaviest weight-35%), credit utilization (next most significant-30%), how long has been using credit (third weight-15%), types of credit (least weighted-10%) and number of new credit queries (equally least weighted-10%).

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