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Facts about you are amassed from your application for credit and other sources. Data includes your bill-paying history, the quantity and types of accounts you have secured, missing payment due dates, collection actions, existing debt, how old your accounts are, and other info. Utilizing the Fair, Isaac statistical formulas or framework, creditors match this information to the credit actions of consumers with profiles that are similar and allocate points for each factor that assists them in predicting which debtor is it most plausible for them to repay an amount that they owe. Thus comes the expression "FICO Score" which signifies a credit score resulting from the Fair, Isaac Company (FICO) formula.

Credit information is looked at according to its type and how old the information is. The more recent the related info, the more relevant it is to the overall score. For instance, something that was late by 90 days a while ago may be not as much weighted as a much more recent 30 day late. The data type is also weighted: payment history (most significant weight-35%), utilizationn of credit (next biggest-30%), length of credit history (third most significant-15%), types of credit used (least significant-10%) and number of new credit queries (also least significant-10%).



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