Credit Calculator Online

Online Credit Calculator – Calculate Your Creditworthiness & Impact body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #f8f9fa; color: #333; line-height: 1.6; margin: 0; padding: 20px; display: flex; justify-content: center; } .container { max-width: 960px; width: 100%; background-color: #fff; padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px rgba(0, 74, 153, 0.1); margin: 0 auto; } header { text-align: center; margin-bottom: 30px; border-bottom: 1px solid #eee; padding-bottom: 20px; } h1 { color: #004a99; margin-bottom: 10px; font-size: 2.2em; } h2, h3 { color: #004a99; margin-top: 25px; margin-bottom: 15px; font-size: 1.8em; } h3 { font-size: 1.4em; } .loan-calc-container { background-color: #eef7ff; padding: 25px; border-radius: 6px; margin-bottom: 30px; border: 1px solid #cce5ff; } .input-group { margin-bottom: 20px; text-align: left; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: #0056b3; } .input-group input[type="number"], .input-group select { width: calc(100% – 20px); padding: 10px; border: 1px solid #ccc; border-radius: 4px; font-size: 1em; margin-bottom: 5px; box-sizing: border-box; } .input-group small { display: block; color: #6c757d; font-size: 0.85em; margin-top: 5px; } .error-message { color: #dc3545; font-size: 0.9em; margin-top: 5px; display: none; } .button-group { display: flex; justify-content: space-between; margin-top: 25px; } button { padding: 12px 20px; border: none; border-radius: 5px; font-size: 1em; font-weight: bold; cursor: pointer; transition: background-color 0.3s ease; } .btn-primary { background-color: #004a99; color: white; } .btn-primary:hover { background-color: #003366; } .btn-secondary { background-color: #6c757d; color: white; } .btn-secondary:hover { background-color: #5a6268; } .btn-info { background-color: #17a2b8; color: white; } .btn-info:hover { background-color: #117a8b; } #results { margin-top: 30px; padding: 25px; background-color: #d4edda; border: 1px solid #c3e6cb; border-radius: 6px; text-align: center; } #results h3 { color: #155724; margin-top: 0; margin-bottom: 15px; font-size: 1.6em; } .main-result { font-size: 2.5em; font-weight: bold; color: #28a745; margin-bottom: 15px; display: inline-block; padding: 10px 20px; background-color: #fff; border-radius: 5px; box-shadow: 0 2px 5px rgba(40, 167, 69, 0.3); } .intermediate-values div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-values span { font-weight: bold; color: #004a99; } .formula-explanation { font-size: 0.95em; color: #555; margin-top: 20px; padding-top: 15px; border-top: 1px dashed #ccc; } table { width: 100%; border-collapse: collapse; margin-top: 25px; margin-bottom: 25px; box-shadow: 0 2px 5px rgba(0, 74, 153, 0.05); } caption { font-size: 1.1em; font-weight: bold; color: #004a99; margin-bottom: 15px; text-align: left; } th, td { padding: 12px 15px; text-align: left; border: 1px solid #ddd; } thead { background-color: #004a99; color: white; } tbody tr:nth-child(even) { background-color: #f2f2f2; } canvas { display: block; margin: 25px auto; max-width: 100%; border: 1px solid #eee; border-radius: 4px; } .chart-container { text-align: center; margin-top: 25px; } .chart-legend { display: flex; justify-content: center; gap: 20px; margin-top: 15px; font-size: 0.9em; } .chart-legend span { display: inline-block; width: 15px; height: 15px; margin-right: 5px; border-radius: 3px; vertical-align: middle; } .legend-impact { background-color: #007bff; } .legend-debt-ratio { background-color: #ffc107; } #article-content { margin-top: 40px; padding-top: 30px; border-top: 1px solid #eee; } #article-content p { margin-bottom: 1.2em; } #article-content ul, #article-content ol { margin-left: 20px; margin-bottom: 1.2em; } #article-content li { margin-bottom: 0.6em; } .faq-question { font-weight: bold; color: #004a99; margin-top: 15px; margin-bottom: 8px; } .internal-links-section { margin-top: 30px; padding-top: 20px; border-top: 1px solid #eee; } .internal-links-section h3 { margin-bottom: 15px; } .internal-links-section ul { list-style: none; padding: 0; } .internal-links-section li { margin-bottom: 10px; } .internal-links-section a { color: #004a99; text-decoration: none; font-weight: bold; } .internal-links-section a:hover { text-decoration: underline; } .internal-links-section p { font-size: 0.9em; color: #555; margin-left: 0; } .hidden { display: none; } input[type=number]::-webkit-inner-spin-button, input[type=number]::-webkit-outer-spin-button { -webkit-appearance: none; margin: 0; } input[type=number] { -moz-appearance: textfield; }

Online Credit Calculator

Estimate the impact of credit-related actions on your financial health.

Credit Impact Estimator

Your current FICO or VantageScore (e.g., 300-850).
Open New Credit Account Make a Late Payment Apply for New Credit (Hard Inquiry) Close Old Credit Account Pay Down Significant Debt Select the financial action you are considering.
Amount of debt paid down, credit limit of new account, etc. (Use 0 if not applicable).
Months since your last credit activity (e.g., payment, new account).
Estimated Score Range
Projected Credit Score Range Based on Action

What is a Credit Calculator Online?

A credit calculator online, often referred to as a credit score simulator or impact calculator, is a digital tool designed to help individuals understand how specific financial actions might influence their credit score. Unlike loan calculators that focus on borrowing costs, a credit calculator delves into the dynamics of credit reporting and scoring models. It allows users to input their current credit score, details about a potential financial action (like opening a new credit card, making a late payment, or applying for a loan), and other relevant factors to get an estimated impact on their creditworthiness. This tool is invaluable for anyone looking to make informed decisions that could affect their ability to obtain future credit, secure better interest rates, or improve their overall financial health. It demystifies the complex world of credit scoring by providing a tangible, albeit estimated, outcome for various scenarios.

Who Should Use It: Anyone concerned about their credit score should consider using a credit calculator. This includes:

  • Individuals planning to apply for a mortgage or car loan soon.
  • People who have recently made a financial mistake (like a missed payment) and want to understand the potential damage.
  • Consumers looking to manage their credit responsibly by understanding the pros and cons of actions like opening new accounts or paying down debt.
  • Those curious about how different credit management strategies affect their score over time.

Common Misconceptions:

  • It provides an exact score: Credit calculators offer estimates. Actual score changes depend on many proprietary factors of the scoring model and the specific lender reporting data.
  • All actions have a negative impact: Many actions, like responsibly managing debt or becoming an authorized user, can positively affect a score.
  • One missed payment is the end of the world: While negative, the impact varies based on your overall credit profile and how quickly you rectify the situation. A credit calculator can help quantify this.
  • Closing old accounts always helps: Closing accounts can sometimes hurt your score by reducing your average account age and increasing your credit utilization ratio.

Credit Calculator Online Formula and Mathematical Explanation

The "formula" behind an online credit calculator is not a single, universally applied equation, but rather a simulation of how various factors influence credit scoring models like FICO and VantageScore. These models weigh different components of your credit report differently. Our calculator uses a simplified model to estimate the impact:

Core Concept: An action modifies specific elements of a credit report, which then influences the underlying credit score. The magnitude of change depends on the severity of the action, the user's current credit profile, and the weight given to that specific factor by the scoring model.

Simplified Estimation Logic:

Estimated Score Change = (Weight_ActionType * Impact_Severity) * (1 - (CurrentScore / MaxScore) * ScoreSensitivityFactor) * (TimeFactor / BaseTimeFactor)

Variable Explanations:

  • Action Type Impact (Weight_ActionType): Predefined values assigned to different actions (e.g., late payment has a high negative weight, paying down debt has a positive weight).
  • Impact Severity: Quantifies the action's effect. For a late payment, this could be based on how late it was (30, 60, 90 days). For opening an account, it might relate to the credit limit or utilization change. For paying debt, it's the amount paid down.
  • Current Score (CurrentScore): The user's starting credit score.
  • Max Score (MaxScore): The maximum possible credit score (typically 850).
  • Score Sensitivity Factor: A multiplier reflecting how much a score of a certain level is affected by new information. Higher scores might see smaller absolute changes for the same event compared to lower scores.
  • Time Factor (TimeFactor): How recently the action occurred. More recent actions have a greater impact. This is influenced by `timeSinceLastActivity`.
  • Base Time Factor: A reference point for recency, usually months.

Key Factors Estimated by the Calculator:

  1. Estimated Score Range: A projected low and high score reflecting the potential fluctuation.
  2. Key Factor: Identifies the primary driver of the estimated change (e.g., "Payment History," "Credit Utilization," "New Credit").

Variables Table:

Calculator Variables and Their Meaning
Variable Meaning Unit Typical Range
Current Credit Score User's starting credit score. Score Points 300 – 850
Action Type The financial event being simulated. Category Specific actions (see dropdown)
Action Value Monetary amount associated with the action. Currency Unit (e.g., USD) 0 or positive value
Time Since Last Activity Months elapsed since the last significant credit event. Months 0+
Estimated Score Low Projected minimum credit score after the action. Score Points 300 – 850
Estimated Score High Projected maximum credit score after the action. Score Points 300 – 850
Key Factor The primary credit reporting category affected. Category Payment History, Utilization, Age, etc.

Practical Examples (Real-World Use Cases)

Example 1: Opening a New Credit Card

Scenario: Sarah has a good credit score of 720. She's considering opening a new rewards credit card for everyday spending. She knows this involves a hard inquiry and will reduce her average credit card age.

Inputs:

  • Current Credit Score: 720
  • Action Type: Open New Credit Account
  • Action Value: 5000 (New credit limit)
  • Time Since Last Activity: 6 (Months)

Calculator Output:

  • Main Impact: -5 to -15 points
  • Estimated Score Low: 705
  • Estimated Score High: 715
  • Key Factor: New Credit / Average Age of Accounts

Financial Interpretation: The calculator estimates a small decrease in Sarah's credit score. The hard inquiry and the addition of a new account (which lowers the average age of her accounts) are the main drivers. The impact is relatively minor because her score is already good, and she doesn't have excessive recent credit activity. She can proceed, understanding the potential small dip.

Example 2: Missing a Credit Card Payment

Scenario: John has a solid credit score of 750. He accidentally missed his credit card payment deadline by 45 days due to an oversight. He wants to know the potential damage.

Inputs:

  • Current Credit Score: 750
  • Action Type: Make a Late Payment
  • Action Value: 0 (Not directly applicable to the severity of the lateness itself)
  • Time Since Last Activity: 1 (Month – assuming the missed payment is the most recent activity)

Calculator Output:

  • Main Impact: -60 to -110 points
  • Estimated Score Low: 640
  • Estimated Score High: 690
  • Key Factor: Payment History

Financial Interpretation: This shows a significant potential drop in John's credit score. Payment history is the most heavily weighted factor in credit scoring models. A missed payment, especially one past 30 days, carries substantial negative consequences. John needs to make the payment immediately and focus on consistent on-time payments moving forward to rebuild his score.

Example 3: Paying Down Credit Card Debt

Scenario: Maria has a credit score of 680 and high credit card balances. She plans to pay down one card significantly.

Inputs:

  • Current Credit Score: 680
  • Action Type: Pay Down Significant Debt
  • Action Value: 3000 (Amount paid off)
  • Time Since Last Activity: 1 (Month)

Calculator Output:

  • Main Impact: +10 to +30 points
  • Estimated Score Low: 690
  • Estimated Score High: 710
  • Key Factor: Credit Utilization

Financial Interpretation: By paying down debt, Maria is lowering her credit utilization ratio. This action is highly beneficial for her score, especially given her current range. The calculator estimates a positive score increase, making it a worthwhile financial move for her.

How to Use This Credit Calculator Online

Using our credit calculator online is straightforward and designed to provide quick insights into potential credit score changes. Follow these steps:

  1. Input Current Credit Score: Enter your most recent credit score into the "Current Credit Score" field. Scores typically range from 300 to 850.
  2. Select Action Type: Choose the financial action you are considering from the "Action Type" dropdown menu. Options include opening new accounts, late payments, credit inquiries, closing accounts, or paying down debt.
  3. Enter Action Value (If Applicable): For certain actions, like paying down debt or the credit limit of a new account, enter the relevant monetary amount in the "Action Value" field. If the action doesn't have a direct monetary value (like a late payment notification), leave it at 0 or as is.
  4. Specify Time Since Last Activity: Input the number of months that have passed since your last significant credit activity (e.g., last payment made, last account opened). This helps the calculator gauge the recency of events.
  5. Calculate Impact: Click the "Calculate Impact" button.

How to Read Results:

  • Main Highlighted Result: This shows the estimated point change (e.g., "+15 points", "-20 points").
  • Estimated Score Range (Low/High): Provides a more realistic projection by showing the minimum and maximum score you might land in after the action.
  • Key Factor: Identifies the primary reason for the estimated score change (e.g., Payment History, Credit Utilization, New Credit).
  • Chart: Visualizes the projected score range.

Decision-Making Guidance: Use the results to weigh the potential benefits and drawbacks of your financial action. If the estimated impact is significantly negative and you can postpone the action, consider doing so. If the impact is positive or neutral, it may be safe to proceed. Remember, this is an estimate; real-world results can vary.

Key Factors That Affect Credit Calculator Results

While our online credit calculator provides a useful estimate, it's essential to understand the underlying factors that influence credit scores and, consequently, the calculator's output. These are the pillars of creditworthiness:

  1. Payment History (Most Important): Consistently paying bills on time is crucial. Late payments, defaults, and bankruptcies significantly damage your score. Our calculator reflects this with large negative impacts for late payment actions.
  2. Credit Utilization Ratio (CUR): This is the amount of revolving credit you're using compared to your total available revolving credit. Keeping utilization low (ideally below 30%, even better below 10%) positively impacts your score. Paying down debt directly lowers this ratio, leading to a score increase, as simulated by the calculator.
  3. Length of Credit History: A longer history of responsible credit use generally results in a higher score. Opening many new accounts quickly, or closing older accounts, can lower your average account age, negatively impacting this factor. Our calculator accounts for the recency of activity.
  4. Credit Mix: Having a mix of different types of credit (e.g., credit cards, installment loans like mortgages or auto loans) can be beneficial. Lenders like to see that you can manage various credit products responsibly. This is a less dynamic factor but influences the baseline score.
  5. New Credit Activity: Opening multiple new accounts in a short period can signal higher risk to lenders and may cause a temporary dip in your score due to hard inquiries and reduced average account age. The calculator factors in the "New Credit" aspect.
  6. Credit Inquiries (Hard vs. Soft): Applying for new credit typically results in a "hard inquiry," which can slightly lower your score for a short period. Multiple hard inquiries within a short timeframe can have a more pronounced effect. Soft inquiries (like checking your own score) do not affect your score. The calculator accounts for the impact of applying for new credit.
  7. Economic Conditions & Inflation: While not directly input into the calculator, broader economic factors can indirectly influence credit. High inflation might lead to higher interest rates, making debt more expensive and potentially increasing the risk of missed payments. Lenders' risk appetence can also shift.
  8. Fees and Taxes: Associated fees (e.g., annual fees on credit cards, loan origination fees) or taxes (e.g., property taxes on a financed home) impact your overall financial burden. While not directly calculated into score points, managing these costs efficiently contributes to your ability to meet credit obligations.

Frequently Asked Questions (FAQ)

How accurate is this online credit calculator?

This credit calculator provides an *estimated* impact based on general credit scoring principles. Actual score changes can vary significantly depending on the specific scoring model used (FICO, VantageScore), the reporting practices of your lenders, and other unique aspects of your credit file.

What is a 'hard inquiry' and how does it affect my score?

A hard inquiry occurs when a lender checks your credit report because you've applied for new credit (e.g., a credit card, loan). Each hard inquiry can slightly lower your score by a few points for a limited time (usually up to a year). Too many hard inquiries in a short period might suggest financial distress to lenders.

How quickly does paying down credit card debt improve my score?

The positive impact of paying down debt on your credit utilization ratio can be reflected in your score relatively quickly, often within one to two billing cycles after the lower balance is reported to the credit bureaus.

Will closing an old, unused credit card hurt my score?

It often can. Closing an account reduces your total available credit, potentially increasing your credit utilization ratio. It also reduces the average age of your accounts, another factor in credit scoring. Generally, it's advisable to keep older, unused cards open unless they carry a high annual fee.

What is the difference between a 30-day and a 60-day late payment's impact?

A 60-day late payment typically has a much more severe negative impact on your credit score than a 30-day late payment. The longer a payment remains past due, the greater the damage to your payment history record.

Can authorized users on a credit card help my score?

Yes, if the primary cardholder manages the account responsibly (pays on time, keeps utilization low), being added as an authorized user can positively impact your credit history by adding positive payment history and potentially lowering your utilization.

How long does a late payment stay on my credit report?

Negative information, such as late payments, generally stays on your credit report for seven years. However, the impact on your score usually lessens over time, especially if followed by a pattern of positive credit behavior.

Should I worry about checking my own credit score?

No. Checking your own credit score or report typically generates a "soft inquiry," which does not negatively impact your credit score. It's a good practice to monitor your credit regularly.

What if my credit score is below 600?

Scores below 600 are generally considered "poor" or "subprime." This calculator can still help you understand potential changes, but focus should be on consistent, positive credit habits: always pay on time, pay down debt, avoid new credit applications, and consider credit-building tools like secured credit cards.

Explore these related financial tools and resources to further enhance your financial management:

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var resultsDiv = getElement("results"); var mainImpactDiv = getElement("mainImpact"); var estimatedScoreLowDiv = getElement("estimatedScoreLow"); var estimatedScoreHighDiv = getElement("estimatedScoreHigh"); var keyFactorDiv = getElement("keyFactor"); var dataForCopyDiv = getElement("dataForCopy"); var isValid = true; isValid = validateInput("creditScore", 300, 850) && isValid; isValid = validateInput("actionType", null, null, true) && isValid; // Select is always required isValid = validateInput("actionValue", 0, Infinity) && isValid; isValid = validateInput("timeSinceLastActivity", 0, Infinity) && isValid; if (!isValid) { resultsDiv.classList.add('hidden'); return; } var creditScore = parseFloat(creditScoreInput.value); var actionType = actionTypeInput.value; var actionValue = parseFloat(actionValueInput.value); var timeSinceLastActivity = parseFloat(timeSinceLastActivityInput.value); var baseImpact = 0; var keyFactor = ""; var scoreRange = [0, 0]; var multiplier = 1; // Base impact factors based on action type switch (actionType) { case "newAccount": baseImpact = -5 – (actionValue / 1000); // Higher limit = slightly more impact initially keyFactor = "New Credit / Average Age"; if (timeSinceLastActivity 0 && actionValue 30 && actionValue 60) daysLate = 90; if (daysLate === 30) baseImpact = -30; else if (daysLate === 60) baseImpact = -60; else baseImpact = -90; keyFactor = "Payment History"; if (creditScore < 650) baseImpact *= 1.2; // More severe for lower scores if (timeSinceLastActivity < 3) baseImpact *= 1.1; // More severe if recent history break; case "creditInquiry": baseImpact = -3; // Standard for one inquiry keyFactor = "New Credit Application"; if (timeSinceLastActivity < 6) { baseImpact -= 2; // Modest additional impact if frequent inquiries } if (creditScore < 600) baseImpact *= 1.5; // Slightly more sensitive for very low scores break; case "closeAccount": // Closing accounts primarily impacts utilization and average age baseImpact = -10; // Initial estimate, depends heavily on utilization impact keyFactor = "Credit Utilization / Average Age"; // If utilization is already high, closing might worsen it more // This simplified model assumes some negative impact regardless break; case "payDownDebt": // Positive impact based on amount paid relative to score baseImpact = 5 + (actionValue / 200); // Larger payments yield more points keyFactor = "Credit Utilization"; if (creditScore 12) baseImpact *= 0.9; // Slightly less impact if long period of no changes break; default: baseImpact = 0; keyFactor = "N/A"; } // Adjust impact based on current score and recency var scoreFactor = (1 – (creditScore / 850)) * 50; // Higher scores less affected in raw points, lower scores more var timeFactor = 1 – (Math.max(0, timeSinceLastActivity – 6) / 24); // Impact diminishes over time past 6 months var estimatedChange = baseImpact * multiplier * timeFactor; // Cap the change to avoid unrealistic swings var maxPossibleChange = 150; // Absolute max for a single event (very rare) estimatedChange = Math.max(-maxPossibleChange, Math.min(maxPossibleChange, estimatedChange)); var finalScoreLow = Math.max(300, creditScore + estimatedChange – Math.abs(estimatedChange * 0.3)); // Add some variability var finalScoreHigh = Math.min(850, creditScore + estimatedChange + Math.abs(estimatedChange * 0.3)); // Add some variability // Ensure low is not greater than high if (finalScoreLow > finalScoreHigh) { var temp = finalScoreLow; finalScoreLow = finalScoreHigh; finalScoreHigh = temp; } // Refine main impact display var mainImpactText = ""; if (estimatedChange > 0) { mainImpactText = "+" + Math.round(estimatedChange) + " points"; } else if (estimatedChange < 0) { mainImpactText = Math.round(estimatedChange) + " points"; } else { mainImpactText = "0 points"; } mainImpactDiv.textContent = mainImpactText; estimatedScoreLowDiv.textContent = "Estimated Low: " + Math.round(finalScoreLow); estimatedScoreHighDiv.textContent = "Estimated High: " + Math.round(finalScoreHigh); keyFactorDiv.textContent = "Key Factor: " + keyFactor; resultsDiv.classList.remove('hidden'); // Prepare data for copy button dataForCopyDiv.innerHTML = "

Calculation Summary:

" + "Action: " + actionTypeInput.options[actionTypeInput.selectedIndex].text + "" + "Current Score: " + creditScore + "" + "Action Value: " + (actionValue > 0 ? actionValue.toFixed(2) : 'N/A') + "" + "Time Since Last Activity: " + timeSinceLastActivity + " months" + "

Estimated Impact:

" + "Score Change: " + mainImpactText + "" + "Projected Score Range: " + Math.round(finalScoreLow) + " – " + Math.round(finalScoreHigh) + "" + "Primary Reason: " + keyFactor + "" + "Note: This is an estimate based on general credit scoring models. Actual results may vary."; updateChart(finalScoreLow, finalScoreHigh); } function resetForm() { getElement("creditScore").value = 700; getElement("actionType").value = "newAccount"; getElement("actionValue").value = 0; getElement("timeSinceLastActivity").value = 12; getElement("creditScoreError").style.display = 'none'; getElement("actionTypeError").style.display = 'none'; getElement("actionValueError").style.display = 'none'; getElement("timeSinceLastActivityError").style.display = 'none'; getElement("creditScore").style.borderColor = '#ccc'; getElement("actionType").style.borderColor = '#ccc'; getElement("actionValue").style.borderColor = '#ccc'; getElement("timeSinceLastActivity").style.borderColor = '#ccc'; getElement("results").classList.add('hidden'); if (chartInstance) { chartInstance.destroy(); chartInstance = null; } var canvas = getElement('creditImpactChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas } function copyResults() { var content = getElement("dataForCopy").innerText; if (!content) return; var textArea = document.createElement("textarea"); textArea.value = content; document.body.appendChild(textArea); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied successfully!' : 'Failed to copy results.'; alert(msg); // Simple feedback } catch (err) { alert('Oops, unable to copy'); } document.body.removeChild(textArea); } function updateChart(scoreLow, scoreHigh) { var canvas = getElement('creditImpactChart'); var ctx = canvas.getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Define chart dimensions and scale var chartWidth = canvas.offsetWidth; var chartHeight = 300; // Fixed height for consistency canvas.width = chartWidth; canvas.height = chartHeight; // Calculate ranges and positions var minScore = 300; var maxScore = 850; var scoreRangeWidth = maxScore – minScore; var lowPosPercent = ((scoreLow – minScore) / scoreRangeWidth) * 100; var highPosPercent = ((scoreHigh – minScore) / scoreRangeWidth) * 100; // Ensure positions are within canvas bounds lowPosPercent = Math.max(0, Math.min(100, lowPosPercent)); highPosPercent = Math.max(0, Math.min(100, highPosPercent)); // Clear canvas before drawing ctx.clearRect(0, 0, canvas.width, canvas.height); // Draw background scale ctx.fillStyle = '#f0f0f0′; ctx.fillRect(0, 0, chartWidth, chartHeight); // Draw score range bar var barStartX = (lowPosPercent / 100) * chartWidth; var barWidth = ((highPosPercent – lowPosPercent) / 100) * chartWidth; if (barWidth chartWidth – 20) highLabelX = chartWidth – 10; // Prevent label going off edge ctx.fillText(Math.round(scoreHigh), highLabelX, chartHeight * 0.80); // Add score markers (e.g., 500, 650, 800) var markers = [500, 650, 800]; ctx.font = '12px Segoe UI, sans-serif'; ctx.fillStyle = '#666'; ctx.textAlign = 'center'; markers.forEach(function(marker) { if (marker >= minScore && marker <= maxScore) { var markerXPercent = ((marker – minScore) / scoreRangeWidth) * 100; var markerX = (markerXPercent / 100) * chartWidth; ctx.beginPath(); ctx.moveTo(markerX, chartHeight * 0.15); ctx.lineTo(markerX, chartHeight * 0.85); ctx.strokeStyle = '#ccc'; ctx.lineWidth = 1; ctx.stroke(); ctx.fillText(marker, markerX, chartHeight * 0.95); } }); // Simple placeholder for chart instance to allow destruction chartInstance = { destroy: function() { // In a real scenario with a charting library, this would unregister the chart. // For pure canvas, we just need a reference to know it exists. console.log("Chart instance marked for destruction."); } }; } // Initial calculation on load to populate chart and potentially results if defaults are set document.addEventListener('DOMContentLoaded', function() { // Trigger initial calculation if default values are present if (getElement("creditScore").value && getElement("actionType").value && getElement("timeSinceLastActivity").value) { calculateCreditImpact(); } });

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