How is My Credit Score Calculated

Credit Score Estimator & Logic Calculator

Standard: 100% for the highest score.
Target: Below 30% is recommended.
1 (e.g., just one credit card) 2 (e.g., card and auto loan) 3+ (e.g., card, student loan, mortgage)

Your Estimated Credit Score

This estimate is based on FICO weighting logic (300-850 range).


Understanding the Five Pillars of Credit Calculation

A credit score is a numerical representation of your creditworthiness. While lenders use different models, most (including FICO) use a weighted calculation based on five distinct categories of data found in your credit report.

1. Payment History (35%)

This is the most critical factor. Scoring models look at whether you pay your bills on time. Even a single 30-day late payment can cause a significant drop. High scores are generally maintained by those with 100% on-time payment records over several years.

2. Amounts Owed / Credit Utilization (30%)

This calculates how much of your available credit you are using. If you have a credit limit of 10,000 and you owe 3,000, your utilization is 30%. Lower utilization (typically under 10%) signifies to lenders that you are not overextended and can manage debt responsibly.

3. Length of Credit History (15%)

This looks at the age of your oldest account, the age of your newest account, and the average age of all your accounts. A longer history provides more data for the scoring model to predict future behavior reliably.

4. New Credit & Inquiries (10%)

Opening several credit accounts in a short period represents greater risk—especially for people who do not have a long credit history. "Hard inquiries" occur when you apply for credit and can ding your score slightly for a short duration.

5. Credit Mix (10%)

Lenders like to see that you can handle different types of credit, such as revolving accounts (credit cards) and installment loans (mortgages, auto loans, or student loans).

Example Calculation: If a person has a 100% payment history (max points), 10% utilization (high points), but only 1 year of credit history (low points), their score will likely land in the "Fair" to "Good" range despite the perfect payment record.
function calculateCreditScore() { var paymentHistory = parseFloat(document.getElementById('paymentHistory').value); var utilization = parseFloat(document.getElementById('utilization').value); var creditAge = parseFloat(document.getElementById('creditAge').value); var inquiries = parseFloat(document.getElementById('inquiries').value); var creditMix = parseFloat(document.getElementById('creditMix').value); // Validation if (isNaN(paymentHistory) || isNaN(utilization) || isNaN(creditAge) || isNaN(inquiries)) { alert("Please enter valid numerical values."); return; } // Base score is 300, Max is 850. Range = 550 points. var basePoints = 300; var totalWeightPoints = 550; // 1. Payment History (35%) – 192.5 pts max var paymentPoints = 0; if (paymentHistory >= 100) paymentPoints = 192.5; else if (paymentHistory >= 98) paymentPoints = 160; else if (paymentHistory >= 95) paymentPoints = 120; else if (paymentHistory >= 90) paymentPoints = 80; else paymentPoints = 20; // 2. Utilization (30%) – 165 pts max var utilPoints = 0; if (utilization <= 10) utilPoints = 165; else if (utilization <= 30) utilPoints = 130; else if (utilization <= 50) utilPoints = 80; else if (utilization = 15) agePoints = 82.5; else if (creditAge >= 10) agePoints = 70; else if (creditAge >= 7) agePoints = 55; else if (creditAge >= 3) agePoints = 35; else agePoints = 15; // 4. Inquiries (10%) – 55 pts max var inquiryPoints = 0; if (inquiries === 0) inquiryPoints = 55; else if (inquiries === 1) inquiryPoints = 45; else if (inquiries === 2) inquiryPoints = 30; else if (inquiries = 3) mixPoints = 55; else if (creditMix === 2) mixPoints = 40; else mixPoints = 20; var finalScore = Math.round(basePoints + paymentPoints + utilPoints + agePoints + inquiryPoints + mixPoints); // Caps if (finalScore > 850) finalScore = 850; if (finalScore = 800) { category = "Exceptional"; catColor = "#1b5e20"; } else if (finalScore >= 740) { category = "Very Good"; catColor = "#2e7d32"; } else if (finalScore >= 670) { category = "Good"; catColor = "#f9a825"; } else if (finalScore >= 580) { category = "Fair"; catColor = "#ef6c00"; } else { category = "Poor"; catColor = "#c62828"; } document.getElementById('scoreResult').style.display = 'block'; document.getElementById('finalScore').innerHTML = finalScore; document.getElementById('finalScore').style.color = catColor; document.getElementById('scoreCategory').innerHTML = category; document.getElementById('scoreCategory').style.color = catColor; }

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