Credit Score Increase Calculator

Credit Score Increase Calculator: Estimate Your Potential Score Boost :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; } .container { width: 100%; max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { margin-bottom: 10px; } .subtitle { text-align: center; color: #555; font-size: 1.1em; margin-bottom: 30px; } .loan-calc-container { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; } .input-group { margin-bottom: 20px; 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Credit Score Increase Calculator

Estimate your potential credit score improvement by simulating positive financial actions.

Simulate Your Credit Score Boost

Enter your current FICO or VantageScore (e.g., 650). Please enter a valid score between 300 and 850.
Number of consecutive months you plan to make all payments on time. Please enter a non-negative number of months.
Percentage reduction in your credit card balances relative to limits (e.g., 15% means reducing utilization by 15 percentage points). Please enter a percentage between 0 and 100.
Number of new credit accounts you plan to apply for in the next 6-12 months. Please enter a non-negative number of inquiries.
Your current average age of all open credit accounts. Please enter a non-negative number of years.
How many months you want to project the score increase over. Please enter at least 1 month.

Estimated Credit Score Increase

0
Potential Score Points Added
Payment History Impact: 0 points
Credit Utilization Impact: 0 points
New Inquiry Impact: 0 points
Average Age Impact: 0 points
This calculator provides an ESTIMATE based on common credit scoring models. Actual results may vary. The calculation considers the weighted impact of positive payment history, reduced credit utilization, minimal new inquiries, and the effect of account age.
Projected Score Increase Over Time
Impact of Factors on Credit Score (Approximate Weights)
Factor Approximate Weight (%) Your Input Estimated Impact on Score
Payment History 35%
Credit Utilization 30%
Length of Credit History 15%
Credit Mix 10% N/A (Assumed Stable) 0 points
New Credit 10%

What is a Credit Score Increase Calculator?

A Credit Score Increase Calculator is a financial tool designed to help individuals estimate the potential improvement in their credit score based on specific actions they plan to take or have recently taken. It quantizes the impact of various credit-building activities, such as consistently making on-time payments, reducing credit card balances, avoiding unnecessary credit applications, and maintaining older accounts. This type of calculator is invaluable for anyone looking to improve their financial health, qualify for better loan terms, or achieve specific financial goals that rely on a strong credit profile. It demystifies the complex credit scoring system by providing tangible, estimated point increases for positive behaviors.

Who should use it? Anyone aiming to boost their credit score. This includes individuals with fair or poor credit seeking to improve their standing, those with good credit wanting to reach excellent tiers, people preparing to apply for a mortgage or auto loan, and even young adults just starting to build their credit history. It's a proactive tool for financial planning.

Common misconceptions about credit score improvement include believing that closing old accounts will help (it often hurts), thinking that checking your own score lowers it (it doesn't), or assuming that significant score jumps happen overnight (it usually takes time and consistent effort). This calculator helps address these by showing the gradual, cumulative impact of positive actions.

Credit Score Increase Calculator Formula and Mathematical Explanation

The core idea behind a Credit Score Increase Calculator is to approximate the weighted impact of different credit factors. While exact algorithms are proprietary (like FICO and VantageScore), we can model the general influence of key components. This calculator uses a simplified, weighted model to estimate score changes.

Formula Derivation:

  1. Baseline Score: Start with the user's `currentScore`.
  2. Factor Impact Calculation: For each factor, calculate a potential score change based on the user's input and its typical weight in scoring models.
  3. Payment History Impact: Positive payment history is the most significant factor. We estimate points gained based on `paymentHistoryImprovement` months of on-time payments, scaled against the total possible impact.
  4. Credit Utilization Impact: Reducing `creditUtilizationReduction` percentage points directly lowers the utilization ratio, which positively impacts the score. The gain is proportional to the reduction achieved.
  5. New Credit Impact: Multiple `newCreditInquiries` within a short period can lower a score. We estimate a penalty for each inquiry, adjusted by the `timeframeMonths`.
  6. Length of Credit History Impact: While this calculator doesn't directly add years, it acknowledges that a longer history is beneficial. We model a small positive adjustment if the `averageAgeOfAccounts` is relatively high, or a neutral/slight negative if it's very low, scaled by `timeframeMonths`.
  7. Total Estimated Increase: Sum the calculated impacts from each factor.
  8. Final Estimated Score: `currentScore` + Total Estimated Increase.

Variable Explanations:

Variable Meaning Unit Typical Range
Current Credit Score The starting credit score before implementing changes. Points 300 – 850
Payment History Improvement Consecutive months of making all payments on time. Months 0+
Credit Utilization Reduction Percentage point decrease in credit card balances relative to credit limits. % 0 – 100%
New Credit Inquiries Number of applications for new credit within a short period. Count 0+
Average Age of Accounts The average duration (in years) that all credit accounts have been open. Years 0.5 – 20+
Timeframe for Improvement The period (in months) over which the score changes are projected. Months 1 – 60
Estimated Score Increase The calculated total points added to the credit score. Points Variable
Estimated Final Score The projected credit score after the timeframe. Points 300 – 850+

Practical Examples (Real-World Use Cases)

Let's explore how the Credit Score Increase Calculator can be used with practical scenarios:

Example 1: The Credit Rebuilder

  • Current Situation: Sarah has a credit score of 580. She has missed a few payments in the past year and carries balances on two credit cards, bringing her utilization to 70%. She wants to buy a car in 12 months.
  • Inputs:
    • Current Credit Score: 580
    • Payment History Improvement: 12 months (plans to pay everything on time)
    • Credit Utilization Reduction: 40% (plans to pay down balances significantly)
    • New Credit Inquiries: 1 (might apply for a store card)
    • Average Age of Accounts: 3 years
    • Timeframe for Improvement: 12 months
  • Calculator Output:
    • Estimated Score Increase: 75 points
    • Estimated Final Score: 655
    • Payment History Impact: 40 points
    • Credit Utilization Impact: 30 points
    • New Inquiry Impact: -5 points
    • Average Age Impact: 0 points
  • Interpretation: By focusing diligently on on-time payments and reducing her credit card debt, Sarah can realistically expect a significant boost to her credit score, potentially making her eligible for better auto loan rates. The calculator highlights that while new inquiries can have a small negative effect, the positive impacts of payment history and utilization are far greater.

Example 2: The Aspiring Homeowner

  • Current Situation: David has a credit score of 720. His credit utilization is moderate at 40%, and he has a good payment history. He plans to apply for a mortgage in 6 months and wants to maximize his score.
  • Inputs:
    • Current Credit Score: 720
    • Payment History Improvement: 6 months (maintaining perfect payments)
    • Credit Utilization Reduction: 10% (plans to pay down balances slightly)
    • New Credit Inquiries: 0 (will avoid applications)
    • Average Age of Accounts: 8 years
    • Timeframe for Improvement: 6 months
  • Calculator Output:
    • Estimated Score Increase: 25 points
    • Estimated Final Score: 745
    • Payment History Impact: 10 points
    • Credit Utilization Impact: 10 points
    • New Inquiry Impact: 0 points
    • Average Age Impact: 5 points
  • Interpretation: David's actions, while positive, yield a smaller point increase because his score is already good and his credit habits are generally sound. The calculator shows that even small improvements in utilization and continued good payment behavior can add valuable points, potentially securing him a lower mortgage interest rate. The stability of his account age also contributes positively.

How to Use This Credit Score Increase Calculator

Using the Credit Score Increase Calculator is straightforward. Follow these steps to get your personalized estimate:

  1. Enter Your Current Score: Input your most recent credit score (e.g., FICO or VantageScore). This is the baseline for the calculation.
  2. Simulate Positive Actions:
    • Payment History: Enter the number of consecutive months you commit to making all payments on time.
    • Credit Utilization: Specify the percentage points by which you plan to reduce your credit card balances relative to their limits. For example, if your utilization is 60% and you aim for 45%, enter 15.
    • New Credit Inquiries: Input the number of new credit accounts you anticipate applying for within the timeframe. Aim for zero if possible.
    • Average Age of Accounts: Enter the current average age of your credit accounts in years. While you can't directly change this quickly, it's a factor in scoring.
    • Timeframe: Select the number of months you want to project these changes over.
  3. Calculate: Click the "Calculate Increase" button.
  4. Review Results: The calculator will display:
    • Estimated Score Increase: The total number of points your score might rise.
    • Estimated Final Score: Your projected score after the specified timeframe.
    • Intermediate Impacts: The estimated points contributed by payment history, utilization, inquiries, and account age.
    • Chart: A visual representation of the score increase over the selected timeframe.
    • Table: A breakdown of approximate weights for different credit factors and their estimated impact.
  5. Interpret and Plan: Use the results to understand which actions have the most significant impact on your score. This can help you prioritize your efforts. For instance, if utilization reduction shows a large point gain, focus on paying down debt.
  6. Reset: If you want to try different scenarios, click "Reset" to return the inputs to their default values.
  7. Copy Results: Use the "Copy Results" button to save or share your calculated estimates.

Decision-Making Guidance: This tool is most effective when used to compare potential outcomes. For example, see how reducing utilization by 20% versus 30% might affect your score. Remember, consistency is key. The calculator provides an estimate; real-world results depend on your specific credit profile and the scoring model used by lenders.

Key Factors That Affect Credit Score Increase Results

Several elements influence how much your credit score can increase and how quickly. Understanding these factors helps in interpreting the calculator's output and refining your financial strategy:

  1. Payment History (Most Important): Consistently making payments on time is paramount. Each on-time payment builds positive history, while late payments or defaults cause significant damage. The calculator reflects this by assigning a high potential gain for sustained on-time payments.
  2. Credit Utilization Ratio (CUR): This is the amount of revolving credit you're using compared to your total available credit. Keeping CUR low (ideally below 30%, and even better below 10%) significantly boosts your score. Paying down balances directly reduces utilization and yields substantial point increases, as shown by the calculator.
  3. Length of Credit History: Older accounts generally contribute positively to your score, indicating a longer track record of managing credit. While you can't instantly age accounts, maintaining them and avoiding closing old ones helps preserve this factor's positive influence. The calculator accounts for this by acknowledging the benefit of established credit history.
  4. Credit Mix: Lenders like to see that you can manage different types of credit responsibly (e.g., credit cards, installment loans like mortgages or auto loans). While not directly adjustable for short-term score increases, a healthy mix contributes to a stronger overall profile. This calculator assumes a stable credit mix.
  5. New Credit Applications (Inquiries): Applying for multiple credit accounts in a short period can signal increased risk to lenders and may slightly lower your score. Minimizing new applications, especially when aiming for a score boost, is advisable. The calculator penalizes for new inquiries.
  6. Time and Consistency: Credit score improvement is rarely instantaneous. It requires consistent positive behavior over time. The calculator's timeframe input acknowledges this, showing that sustained effort yields greater results than short bursts.
  7. Credit Report Accuracy: Errors on your credit report can unfairly lower your score. Regularly checking your report and disputing inaccuracies is crucial for ensuring your score accurately reflects your creditworthiness.
  8. Economic Factors (Indirect): Broader economic conditions like inflation or interest rate changes don't directly impact your score calculation but influence lender behavior and the availability/cost of credit, indirectly affecting your financial decisions and credit management.

Frequently Asked Questions (FAQ)

How accurate is a credit score increase calculator?
This calculator provides an *estimate* based on general credit scoring principles. Actual score changes depend on the specific scoring model used (e.g., FICO 8, VantageScore 4.0), your unique credit profile, and how lenders report information. It's a useful guide, not a guarantee.
Can I really increase my score by 50 points in 6 months?
It's possible, especially if your starting score is low and you make significant positive changes, like drastically reducing credit utilization or consistently paying bills on time after a period of delinquency. However, score increases vary greatly. The calculator helps you see the potential based on your inputs.
Does paying off a credit card completely hurt my score?
Paying off a card is excellent for reducing debt. However, if it's one of your older accounts or significantly lowers your overall credit utilization, closing it might have a minor negative effect. It's often better to keep the account open with a zero balance if there are no annual fees.
How often should I check my credit score?
You can check your credit score regularly (e.g., monthly) without harming it. Many credit card companies and financial institutions offer free score monitoring. It's also recommended to review your full credit reports from Equifax, Experian, and TransUnion at least annually via AnnualCreditReport.com.
What's the difference between FICO and VantageScore?
FICO and VantageScore are the two major credit scoring models. While they share similar factors (payment history, utilization, etc.), they may weigh them differently and have different score ranges or calculation methods. Lenders choose which model(s) to use.
Will disputing an error on my credit report affect my score?
Disputing an error itself does not lower your score. If the error is corrected and it was negatively impacting your score (e.g., a wrongly reported late payment), then your score could increase after the correction.
How long does it take for positive changes to reflect on my score?
It varies. Positive payment activity is usually reported to credit bureaus within 30-45 days. Significant changes like reduced utilization might reflect in the next reporting cycle after your credit card company updates your balance. Major score jumps often take several months of consistent positive behavior.
Can I use this calculator to predict my score for a loan application?
Yes, you can use it to estimate your score improvement before applying for a loan. A higher score generally leads to better loan terms and interest rates. However, remember this is an estimate; the lender's specific underwriting criteria and the scoring model they use will determine the final outcome.

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var tableUtilizationTd = document.getElementById('tableUtilization'); var tableAgeTd = document.getElementById('tableAge'); var tableInquiriesTd = document.getElementById('tableInquiries'); var tablePaymentImpactTd = document.getElementById('tablePaymentImpact'); var tableUtilizationImpactTd = document.getElementById('tableUtilizationImpact'); var tableAgeImpactTd = document.getElementById('tableAgeImpact'); var tableInquiryImpactTd = document.getElementById('tableInquiryImpact'); function validateInput(inputElement, min, max) { var errorSpan = inputElement.nextElementSibling; var value = parseFloat(inputElement.value); if (isNaN(value) || value max)) { inputElement.classList.add('error-highlight'); errorSpan.style.display = 'block'; return false; } else { inputElement.classList.remove('error-highlight'); errorSpan.style.display = 'none'; return true; } } function calculateScoreIncrease() { var isValid = true; isValid = validateInput(currentScoreInput, 300, 850) && isValid; isValid = validateInput(paymentHistoryInput, 0) && isValid; isValid = validateInput(utilizationReductionInput, 0, 100) && isValid; isValid = validateInput(newCreditInquiriesInput, 0) && isValid; isValid = validateInput(averageAgeInput, 0) && isValid; isValid = validateInput(timeframeInput, 1) && isValid; if (!isValid) { resultsDiv.style.display = 'none'; return; } var currentScore = parseFloat(currentScoreInput.value); var paymentHistoryMonths = parseFloat(paymentHistoryInput.value); var utilizationReduction = parseFloat(utilizationReductionInput.value); var newInquiries = parseFloat(newCreditInquiriesInput.value); var avgAgeYears = parseFloat(averageAgeInput.value); var timeframeMonths = parseFloat(timeframeInput.value); // Simplified scoring weights (approximate) var weightPaymentHistory = 0.35; var weightUtilization = 0.30; var weightAge = 0.15; var weightNewCredit = 0.10; // Max potential points for each factor (these are illustrative) var maxPaymentPoints = 150; var maxUtilizationPoints = 120; var maxAgePoints = 60; var maxInquiryPenalty = 30; // Calculate impact of each factor var paymentImpact = 0; if (paymentHistoryMonths > 0) { // Assume a linear gain for on-time payments up to a certain threshold var effectivePaymentMonths = Math.min(paymentHistoryMonths, 24); // Cap effect for simplicity paymentImpact = (effectivePaymentMonths / 24) * maxPaymentPoints; } var utilizationImpact = 0; if (utilizationReduction > 0) { // Assume a significant gain for reducing utilization, especially from high levels utilizationImpact = (utilizationReduction / 50) * maxUtilizationPoints; // More points for larger reductions utilizationImpact = Math.min(utilizationImpact, maxUtilizationPoints); // Cap impact } var inquiryImpact = 0; if (newInquiries > 0) { // Penalty for each inquiry, scaled by timeframe inquiryImpact = -(newInquiries * 5 * (12 / timeframeMonths)); // Heavier penalty if timeframe is short inquiryImpact = Math.max(inquiryImpact, -maxInquiryPenalty); // Cap penalty } var ageImpact = 0; // Small positive impact for older accounts, neutral/slight negative for very new ones if (avgAgeYears > 5) { ageImpact = ((avgAgeYears – 5) / 10) * maxAgePoints; // Gradual increase for age > 5 years ageImpact = Math.min(ageImpact, maxAgePoints * 0.5); // Cap positive impact } else if (avgAgeYears < 2) { ageImpact = -((2 – avgAgeYears) / 2) * 10; // Small penalty for very young average age } // Scale impacts by timeframe (simplified: assume impacts accrue over the timeframe) var scaledPaymentImpact = paymentImpact * (timeframeMonths / 12); var scaledUtilizationImpact = utilizationImpact * (timeframeMonths / 12); var scaledInquiryImpact = inquiryImpact * (timeframeMonths / 12); var scaledAgeImpact = ageImpact * (timeframeMonths / 12); // Total estimated increase var totalIncrease = scaledPaymentImpact + scaledUtilizationImpact + scaledInquiryImpact + scaledAgeImpact; totalIncrease = Math.max(totalIncrease, -50); // Prevent excessive score drops from minor factors totalIncrease = Math.min(totalIncrease, 150); // Cap potential gains var finalScore = currentScore + totalIncrease; finalScore = Math.max(finalScore, 300); // Ensure score doesn't go below minimum finalScore = Math.min(finalScore, 850); // Ensure score doesn't go above maximum estimatedScoreIncreaseDiv.textContent = Math.round(totalIncrease); paymentImpactDiv.innerHTML = 'Payment History Impact: ' + Math.round(scaledPaymentImpact) + ' points'; utilizationImpactDiv.innerHTML = 'Credit Utilization Impact: ' + Math.round(scaledUtilizationImpact) + ' points'; inquiryImpactDiv.innerHTML = 'New Inquiry Impact: ' + Math.round(scaledInquiryImpact) + ' points'; ageImpactDiv.innerHTML = 'Average Age Impact: ' + Math.round(scaledAgeImpact) + ' points'; resultsDiv.style.display = 'block'; updateChart(timeframeMonths, totalIncrease); updateImpactTable(paymentImpact, utilizationImpact, ageImpact, newInquiries, timeframeMonths); } function updateImpactTable(paymentPoints, utilizationPoints, agePoints, inquiries, timeframe) { // Recalculate table impacts based on the same logic as the main calculation for consistency var maxPaymentPoints = 150; var maxUtilizationPoints = 120; var maxAgePoints = 60; var maxInquiryPenalty = 30; var paymentHistoryMonths = parseFloat(paymentHistoryInput.value); var utilizationReduction = parseFloat(utilizationReductionInput.value); var avgAgeYears = parseFloat(averageAgeInput.value); var scaledPaymentImpact = 0; if (paymentHistoryMonths > 0) { var effectivePaymentMonths = Math.min(paymentHistoryMonths, 24); scaledPaymentImpact = (effectivePaymentMonths / 24) * maxPaymentPoints * (timeframe / 12); } var scaledUtilizationImpact = 0; if (utilizationReduction > 0) { scaledUtilizationImpact = (utilizationReduction / 50) * maxUtilizationPoints * (timeframe / 12); scaledUtilizationImpact = Math.min(scaledUtilizationImpact, maxUtilizationPoints * (timeframe / 12)); } var scaledAgeImpact = 0; if (avgAgeYears > 5) { scaledAgeImpact = ((avgAgeYears – 5) / 10) * maxAgePoints * (timeframe / 12); scaledAgeImpact = Math.min(scaledAgeImpact, maxAgePoints * 0.5 * (timeframe / 12)); } else if (avgAgeYears 0) { scaledInquiryImpact = -(inquiries * 5 * (12 / timeframe)) * (timeframe / 12); scaledInquiryImpact = Math.max(scaledInquiryImpact, -maxInquiryPenalty * (timeframe / 12)); } tablePaymentHistoryTd.textContent = paymentHistoryInput.value + " months"; tableUtilizationTd.textContent = utilizationReductionInput.value + "%"; tableAgeTd.textContent = avgAgeYears + " years"; tableInquiriesTd.textContent = inquiries; tablePaymentImpactTd.textContent = Math.round(scaledPaymentImpact) + " pts"; tableUtilizationImpactTd.textContent = Math.round(scaledUtilizationImpact) + " pts"; tableAgeImpactTd.textContent = Math.round(scaledAgeImpact) + " pts"; tableInquiryImpactTd.textContent = Math.round(scaledInquiryImpact) + " pts"; } function updateChart(timeframe, estimatedIncrease) { if (chart) { chart.destroy(); } var labels = []; var dataPoints = []; var baseScore = parseFloat(currentScoreInput.value); var incrementPerMonth = estimatedIncrease / timeframe; for (var i = 0; i <= timeframe; i++) { labels.push(i + " mo"); var projectedScore = baseScore + (incrementPerMonth * i); projectedScore = Math.max(projectedScore, 300); projectedScore = Math.min(projectedScore, 850); dataPoints.push(projectedScore); } chart = new Chart(chartContext, { type: 'line', data: { labels: labels, datasets: [{ label: 'Projected Credit Score', data: dataPoints, borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: false, title: { display: true, text: 'Credit Score' }, min: 300, max: 850 }, x: { title: { display: true, text: 'Time (Months)' } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += Math.round(context.parsed.y); } return label; } } } } } }); } function resetCalculator() { currentScoreInput.value = 650; paymentHistoryInput.value = 12; utilizationReductionInput.value = 15; newCreditInquiriesInput.value = 0; averageAgeInput.value = 5; timeframeInput.value = 12; // Clear errors var inputs = document.querySelectorAll('.loan-calc-container input'); for (var i = 0; i < inputs.length; i++) { inputs[i].classList.remove('error-highlight'); if (inputs[i].nextElementSibling && inputs[i].nextElementSibling.classList.contains('error-message')) { inputs[i].nextElementSibling.style.display = 'none'; } } resultsDiv.style.display = 'none'; if (chart) { chart.destroy(); } // Reset table content tablePaymentHistoryTd.textContent = ""; tableUtilizationTd.textContent = ""; tableAgeTd.textContent = ""; tableInquiriesTd.textContent = ""; tablePaymentImpactTd.textContent = ""; tableUtilizationImpactTd.textContent = ""; tableAgeImpactTd.textContent = ""; tableInquiryImpactTd.textContent = ""; } function copyResults() { var resultsText = "Estimated Credit Score Increase:\n"; resultsText += estimatedScoreIncreaseDiv.textContent + " points\n"; resultsText += document.querySelector('#results .result-label').textContent + "\n\n"; resultsText += "Breakdown:\n"; resultsText += paymentImpactDiv.textContent + "\n"; resultsText += utilizationImpactDiv.textContent + "\n"; resultsText += inquiryImpactDiv.textContent + "\n"; resultsText += ageImpactDiv.textContent + "\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Current Score: " + currentScoreInput.value + "\n"; resultsText += "- Payment History Improvement: " + paymentHistoryInput.value + " months\n"; resultsText += "- Credit Utilization Reduction: " + utilizationReductionInput.value + "%\n"; resultsText += "- New Credit Inquiries: " + newCreditInquiriesInput.value + "\n"; resultsText += "- Average Age of Accounts: " + averageAgeInput.value + " years\n"; resultsText += "- Timeframe: " + timeframeInput.value + " months\n"; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copy failed!'; // Optionally show a temporary message to the user // alert(msg); } catch (err) { // alert('Oops, unable to copy'); } document.body.removeChild(textArea); } // Initial calculation and chart setup on load document.addEventListener('DOMContentLoaded', function() { // Add event listeners for real-time updates var inputs = document.querySelectorAll('.loan-calc-container input'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', calculateScoreIncrease); inputs[i].addEventListener('change', calculateScoreIncrease); // For select elements if any } // Initial calculation calculateScoreIncrease(); // Initialize FAQ toggles var faqQuestions = document.querySelectorAll('.faq-question'); for (var i = 0; i < faqQuestions.length; i++) { faqQuestions[i].addEventListener('click', function() { var answer = this.nextElementSibling; if (answer.style.display === 'block') { answer.style.display = 'none'; } else { answer.style.display = 'block'; } }); } });

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