How Credit Scores Actually Work | Faceless AI - Dataspheres AI

Your credit score is a prediction of repayment risk. FICO — the score most lenders use — publishes its general-population weights ( straight from myFICO ):...

Your credit score is a prediction of repayment risk. FICO — the score most lenders use — publishes its general-population weights ( straight from myFICO ): 35% payment history — pay every bill on time; nothing else comes close 30% amounts owed — mostly utilization : balances ÷ limits 15% length of history — why your first account matters years later 10% new credit — hard inquiries and freshly opened accounts 10% credit mix — variety of account types The student caveat, from FICO itself: those percentages describe the general population. Thin files — short histories, i.e., most students — are scored on different scorecards with different weightings . Treat the pie chart as a map of what matters, not a formula for your exact file. (VantageScore, the other major model, ranks factors by influence rather than percentages.) Two Cents (PBS) breaks down the factors. The myth that costs students real money "Carry a balance to build credit" — false , per FICO’s own documentation : owing money doesn't itself make you look lower-risk, while high utilization actively hurts. The score uses your statement balance, so paying in full each month builds exactly the same history — minus the interest. Carrying a balance buys you nothing and costs you ~20%+ APR. Two habits that do 80% of the work Autopay at least the minimum on everything (protects the 35%). Keep utilization low — used credit small relative to limits (protects the 30%).