Csgo Case Calculator

CS:GO Case Calculator – Estimate Your Opening Profits :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #ffffff; –shadow: 0 2px 10px 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); margin: 0; padding: 20px; line-height: 1.6; } .container { max-width: 960px; margin: 0 auto; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 1.5em; } h1 { font-size: 2.5em; } h2 { font-size: 2em; margin-top: 1.5em; border-bottom: 2px solid var(–primary-color); padding-bottom: 0.5em; } h3 { font-size: 1.5em; margin-top: 1em; } .loan-calc-container { background-color: var(–card-background); padding: 25px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; } .input-group { margin-bottom: 20px; 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CS:GO Case Calculator

Welcome to the ultimate CS:GO Case Calculator! This tool helps you estimate the potential financial outcomes of opening CS:GO (now CS2) weapon cases. Input the cost of cases and keys, then see your estimated profit or loss based on current item market values and probabilities.

CS:GO Case Opening Estimator

Enter the current market price of one weapon case.
Enter the current market price of one case key.
How many cases will you be opening in this session?
The typical selling price for the lowest tier items you might receive.
The typical selling price for a desirable high-tier item (e.g., knife, gloves, rare skin).
The percentage chance of getting a high-tier item (usually around 0.39% for knives/gloves).

Your Opening Outcome Estimate

Total Spent
Estimated Gross Return
Expected Value Per Case
The "Expected Value Per Case" is calculated by summing the product of each possible item's value and its probability of dropping. The "Estimated Profit/Loss" is derived from the total spent versus the estimated gross return.
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Potential Return Distribution

Visualizing the probability of different return ranges from opening 10 cases.

CS:GO Case Item Tiers & Probabilities

Estimated Value Breakdown
Item Tier Probability (%) Est. Value Range (USD) Expected Contribution Per Case (USD)
Common (Consumer Grade) $0.03 – $0.10
Uncommon (Industrial Grade) $0.08 – $0.25
Rare (Mil-Spec) $0.20 – $0.75
Mythical (Restricted) $0.70 – $3.00
Legendary (Classified) $2.50 – $10.00
Exotic (Covert) $8.00 – $30.00
Special Items (Knives/Gloves) $50.00 – $2000.00+

Understanding CS:GO Case Openings

What is a CS:GO Case Calculator?

A CS:GO Case Calculator (now often referred to as a CS2 Case Calculator) is an online tool designed to help players estimate the potential financial outcomes of opening weapon cases in Counter-Strike: Global Offensive and its successor, Counter-Strike 2. It takes into account the cost of acquiring cases and keys, the probabilities of receiving different item rarities, and the current market value of those items. This csgo case calculator aims to provide a data-driven perspective on whether opening cases is financially viable or a gamble. It helps players understand the expected value of their openings, compare potential profits against costs, and make more informed decisions about spending their real-world money within the game's economy.

Who should use it:

  • Players considering spending money on cases and keys.
  • Collectors and traders who want to understand the economics of the CS:GO/CS2 item market.
  • Anyone curious about the odds and potential returns of case openings.
  • Individuals looking to budget their in-game spending effectively.

Common misconceptions:

  • "I'm guaranteed to make money if I get a rare item." While rare items can be very valuable, their extremely low drop rates mean most openings result in a loss. The calculator helps illustrate this probability.
  • "All cases have the same odds." Drop rates for special items (like knives or gloves) are generally consistent across most cases, but the value of items within those tiers can vary significantly by case collection.
  • "Opening more cases increases my overall profit." On average, over a large number of openings, the expected value per case will stabilize. Opening more cases doesn't change the underlying probabilities or average returns, it just means you're more likely to experience that average outcome (which is often a loss).

{primary_keyword} Formula and Mathematical Explanation

The core of the csgo case calculator lies in the concept of Expected Value (EV). Expected value represents the average outcome you can anticipate if you were to repeat the process (opening a case) an infinite number of times. It's calculated by multiplying the value of each possible outcome by its probability and summing these products.

The calculation is performed in a few key steps:

  1. Calculate the expected return from a single case: For each item rarity tier, multiply the average value of an item in that tier by its drop probability. Sum these values across all tiers to get the total expected return per case.
  2. Calculate the cost per case: This is the sum of the cost of one case and the cost of one key required to open it.
  3. Calculate the net expected value per case: Subtract the cost per case from the expected return per case. This tells you, on average, how much you can expect to gain or lose each time you open a case.
  4. Calculate total estimated profit/loss: Multiply the net expected value per case by the total number of cases being opened.

Mathematical Breakdown:

Let:

  • \(C_{case}\) = Cost per Case
  • \(C_{key}\) = Cost per Key
  • \(N\) = Number of Cases to Open
  • \(V_{common}\) = Average Value of Common Items
  • \(V_{uncommon}\) = Average Value of Uncommon Items
  • \(V_{rare}\) = Average Value of Rare Items
  • \(V_{mythical}\) = Average Value of Mythical Items
  • \(V_{legendary}\) = Average Value of Legendary Items
  • \(V_{exotic}\) = Average Value of Exotic Items
  • \(V_{special}\) = Average Value of Special Items (Knives/Gloves)
  • \(P_{common}\) = Probability of dropping a Common item
  • \(P_{uncommon}\) = Probability of dropping an Uncommon item
  • \(P_{rare}\) = Probability of dropping a Rare item
  • \(P_{mythical}\) = Probability of dropping a Mythical item
  • \(P_{legendary}\) = Probability of dropping a Legendary item
  • \(P_{exotic}\) = Probability of dropping an Exotic item
  • \(P_{special}\) = Probability of dropping a Special Item (rare item input in calculator)

Total Cost:

$$ \text{Total Cost} = (C_{case} + C_{key}) \times N $$

Expected Value Per Case (EVC):

$$ \text{EVC} = (V_{common} \times P_{common}) + (V_{uncommon} \times P_{uncommon}) + (V_{rare} \times P_{rare}) + (V_{mythical} \times P_{mythical}) + (V_{legendary} \times P_{legendary}) + (V_{exotic} \times P_{exotic}) + (V_{special} \times P_{special}) $$

Note: The calculator simplifies this by using the provided "Average Value of Common Item" and "Estimated Value of Rare Item", along with the specified "Probability of Receiving a Rare Item". Probabilities for intermediate tiers are derived or assumed based on typical CS:GO/CS2 case structures.

Estimated Gross Return:

$$ \text{Estimated Gross Return} = EVC \times N $$

Estimated Profit/Loss:

$$ \text{Estimated Profit/Loss} = (\text{Estimated Gross Return}) – (\text{Total Cost}) $$

Variables Table:

Variable Meaning Unit Typical Range
Cost per Case The purchase price of a single weapon case. USD $0.05 – $3.00
Cost per Key The purchase price of a single key to open a case. USD $2.50
Number of Cases The total quantity of cases being opened. Count 1 – 100+
Average Common Item Value Estimated market value of the lowest tier items. USD $0.01 – $0.20
Estimated Rare Item Value Estimated market value of high-tier items (e.g., knife, gloves). USD $50.00 – $2000.00+
Probability of Rare Item (%) The chance of receiving a knife, gloves, or other top-tier item. % 0.26% – 0.40%
Expected Value Per Case The average monetary return expected from opening one case. USD $-2.00$ to $0.50$ (Often negative)
Estimated Profit/Loss The overall financial gain or loss from the opening session. USD Varies significantly

Practical Examples (Real-World Use Cases)

Example 1: A Cautious Opener

Scenario: Sarah wants to try her luck with a few cases. She buys 5 cases at $2.50 each and uses 5 keys at $2.50 each. The common items are worth about $0.05 on average, and she's hoping for a decent knife estimated at $200. The general probability for such an item is about 0.39%.

Inputs:

  • Cost per Case: $2.50
  • Cost per Key: $2.50
  • Number of Cases: 5
  • Average Common Item Value: $0.05
  • Estimated Rare Item Value: $200.00
  • Probability of Rare Item (%): 0.39%

Calculator Output (Simulated):

  • Total Spent: $(2.50 + 2.50) \times 5 = \$25.00$
  • Estimated Gross Return: (Using a simplified EV calculation for demonstration) Approximately $15.00
  • Estimated Profit/Loss: $\$15.00 – \$25.00 = -\$10.00$
  • Expected Value Per Case: Approximately $3.00

Interpretation: Even with a chance at a valuable knife, the expected outcome for Sarah's 5 openings is a loss of around $10.00. This highlights that case opening is typically a losing proposition financially, with the small chance of a big win being the main draw.

Example 2: The Gambler's Spree

Scenario: John decides to open 20 cases at $2.00 each with keys at $2.50 each. He knows most drops will be low value, estimating common items at $0.10. He's aiming for a specific exotic skin valued at $50.00, with a rare item drop rate of 0.39%.

Inputs:

  • Cost per Case: $2.00
  • Cost per Key: $2.50
  • Number of Cases: 20
  • Average Common Item Value: $0.10
  • Estimated Rare Item Value: $50.00
  • Probability of Rare Item (%): 0.39%

Calculator Output (Simulated):

  • Total Spent: $(2.00 + 2.50) \times 20 = \$90.00$
  • Estimated Gross Return: (Using a simplified EV calculation) Approximately $60.00
  • Estimated Profit/Loss: $\$60.00 – \$90.00 = -\$30.00$
  • Expected Value Per Case: Approximately $3.00

Interpretation: John's large opening session is also projected to result in a financial loss of around $30.00. This demonstrates that even increasing the number of openings doesn't overcome the inherent negative expected value of most CS:GO/CS2 case openings. The csgo case calculator shows that the house (Valve) edge is significant.

How to Use This CS:GO Case Calculator

Using the csgo case calculator is straightforward. Follow these steps to estimate your potential returns:

  1. Input Case & Key Costs: Enter the current market price in USD for both the weapon case you intend to open and the key required to unlock it. These prices can fluctuate on the Steam Community Market.
  2. Specify Number of Cases: Input the total number of cases you plan to open in this session.
  3. Estimate Item Values:
    • Average Common Item Value: Provide an estimated average selling price for the most frequently received, lowest-tier items. Check the Steam Market for common items from the specific case you're interested in.
    • Estimated Rare Item Value: Input the approximate market value of a desirable high-tier item (e.g., a knife, gloves, or a coveted Covert skin) that you might receive. This is highly variable.
  4. Enter Rare Drop Rate: Input the percentage chance of receiving a special, high-tier item. This is typically a fixed, very low percentage (often around 0.39% for knives/gloves in many cases).
  5. Calculate: Click the "Calculate Results" button.

How to Read Results:

  • Estimated Profit/Loss: This is your primary indicator. A negative number signifies an expected loss, while a positive number suggests an expected gain (which is rare).
  • Total Spent: The total real-world cost for acquiring and opening the specified number of cases.
  • Estimated Gross Return: The average total market value of items you can expect to receive.
  • Expected Value Per Case: The average financial outcome (gain or loss) for each individual case opened.

Decision-Making Guidance: Use the results to inform your spending. If the csgo case calculator consistently shows a negative expected value per case, it indicates that, on average, you will lose money over time. View case openings primarily as entertainment rather than an investment. The thrill comes from the small chance of a massive payout, not predictable profit.

Key Factors That Affect CS:GO Case Results

Several factors significantly influence the financial outcome of opening CS:GO/CS2 cases:

  1. Case and Key Market Prices: The direct cost of acquisition is paramount. If cases or keys become more expensive, the break-even point shifts higher, increasing the likelihood of a net loss. Fluctuations on the Steam Community Market directly impact your total expenditure.
  2. Item Drop Probabilities: While often fixed for special items, the exact percentage chance of obtaining higher tiers (like Restricted, Classified, or Covert skins) affects the expected value. A slightly higher drop rate for valuable tiers would improve the average return.
  3. Market Value of Dropped Items: This is the most volatile factor. The value of skins, knives, and gloves can change dramatically based on player demand, new weapon finishes, real-world events, and market trends. A rare item might be worth $500 one month and $300 the next.
  4. Specific Case Collection: Different cases contain items from distinct collections. Some collections are more popular and contain skins with higher average values than others, directly impacting the potential gross return. Your csgo case calculator might need fine-tuning based on the specific case.
  5. Wear and StatTrak™: The condition (Factory New, Minimal Wear, etc.) and the presence of StatTrak™ significantly affect an item's price. A Factory New StatTrak™ knife will be worth considerably more than a Battle-Scarred version. The calculator typically uses averages, but individual results vary wildly.
  6. Steam Community Market Fees: Valve applies a market transaction fee (typically 15%) when you sell items. This reduces your actual profit. Any savvy player or **csgo case calculator** user should factor this in when assessing potential returns from selling items rather than keeping them.
  7. Player Demand and Trends: Skin popularity ebbs and flows. A once-desirable skin might fall out of favor, decreasing its value, while a new or overlooked skin could surge in popularity.
  8. Inflation and Economic Factors: Over the long term, the value of virtual items can be influenced by broader economic trends, similar to real-world assets. The perceived value of CS:GO/CS2 currency (keys, cases) in relation to real-world currency can also shift.

Frequently Asked Questions (FAQ)

Q1: Is opening CS:GO cases a good way to make money?

A: Generally, no. The expected value of opening cases is almost always negative, meaning you are statistically likely to lose money over time. It's best viewed as a form of entertainment with a small chance of a significant payoff.

Q2: How accurate is the CS:GO Case Calculator?

A: The accuracy depends on the input data. It provides an *expected* value based on averages and probabilities. Actual results can vary wildly due to luck. The calculator is a tool for estimation, not a guarantee.

Q3: What are the real probabilities for CS:GO item drops?

A: Valve has published some official drop rates. For example, the chance of receiving a knife or gloves from most common cases is typically around 0.39%. Other tier probabilities are structured to ensure the overall expected value is negative.

Q4: Should I sell my rare drops immediately or hold onto them?

A: This depends on market analysis. If you believe the price of your rare item will increase, holding might be profitable. However, prices can also drop. Selling immediately guarantees your profit (minus fees), while holding carries risk.

Q5: Can I use this calculator for CS2 cases?

A: Yes, the principles and mechanics of CS:GO case openings largely remain the same in CS2. The calculator is applicable to CS2 cases, provided you input the correct current market prices and probabilities.

Q6: What if the case I want isn't listed or has different items?

A: This calculator uses generalized inputs. For highly specific cases, you'd need to research the exact item pool and current market prices for that particular collection to refine your inputs for a more precise estimate.

Q7: How do market fees affect my profit?

A: Steam charges a transaction fee (around 15%) on all sales through the Community Market. This means if your calculator estimates a $50 profit, your actual take-home profit after selling would be closer to $42.50. Always factor in these fees.

Q8: Is there a way to guarantee profit from cases?

A: No. The system is designed with a negative expected value for the player. The only "guaranteed" profit comes from selling cases and keys themselves on the market if you acquire them cheaply, not from opening them.

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We'll distribute the remaining probability. var probSpecial = rareDropRate; // Probability for the "special" high value item // Distribute remaining probability across lower tiers proportionally, ensuring they sum up. var remainingProb = 1.0 – probSpecial; var sumLowerTiers = probCommon + probUncommon + probRare + probMythical + probLegendary + probExotic; // Scale lower tier probabilities if they don't sum nicely or need adjustment probCommon = (probCommon / sumLowerTiers) * remainingProb * 0.7; // Adjust weights probUncommon = (probUncommon / sumLowerTiers) * remainingProb * 0.15; probRare = (probRare / sumLowerTiers) * remainingProb * 0.08; probMythical = (probMythical / sumLowerTiers) * remainingProb * 0.04; probLegendary = (probLegendary / sumLowerTiers) * remainingProb * 0.02; probExotic = (probExotic / sumLowerTiers) * remainingProb * 0.01; // Assuming this is another high tier // Ensure probabilities sum to 1 var totalProb = probCommon + probUncommon + probRare + probMythical + probLegendary + probExotic + probSpecial; if (Math.abs(totalProb – 1.0) > 0.001) { // Adjust if sum is slightly off var scale = 1.0 / totalProb; probCommon *= scale; probUncommon *= scale; probRare *= scale; probMythical *= scale; probLegendary *= scale; probExotic *= scale; probSpecial *= scale; } // Assign average values for intermediate tiers (these are rough estimates) var avgUncommonValue = avgItemValue * 2; var avgRareValue = avgItemValue * 4; var avgMythicalValue = avgItemValue * 10; var avgLegendaryValue = avgItemValue * 20; var avgExoticValue = avgItemValue * 50; // Significantly higher // Expected Value Calculation per Case var expectedValuePerCase = (avgItemValue * probCommon) + (avgUncommonValue * probUncommon) + (avgRareValue * probRare) + (avgMythicalValue * probMythical) + (avgLegendaryValue * probLegendary) + (avgExoticValue * probExotic) + (rareItemValue * probSpecial); var totalCost = (caseCost + keyCost) * numCases; var estimatedReturn = expectedValuePerCase * numCases; var profitLoss = estimatedReturn – totalCost; // Display Results document.getElementById('estimatedProfitLoss').textContent = '$' + profitLoss.toFixed(2); document.getElementById('totalSpent').textContent = '$' + totalCost.toFixed(2); document.getElementById('estimatedReturn').textContent = '$' + estimatedReturn.toFixed(2); document.getElementById('expectedValuePerCase').textContent = '$' + expectedValuePerCase.toFixed(2); document.getElementById('resultsSection').style.display = 'block'; // Update Table Data document.getElementById('probCommon').textContent = (probCommon * 100).toFixed(2) + '%'; document.getElementById('contribCommon').textContent = '$' + (avgItemValue * probCommon).toFixed(4); document.getElementById('probUncommon').textContent = (probUncommon * 100).toFixed(2) + '%'; document.getElementById('contribUncommon').textContent = '$' + (avgUncommonValue * probUncommon).toFixed(4); document.getElementById('probRare').textContent = (probRare * 100).toFixed(2) + '%'; document.getElementById('contribRare').textContent = '$' + (avgRareValue * probRare).toFixed(4); document.getElementById('probMythical').textContent = (probMythical * 100).toFixed(2) + '%'; document.getElementById('contribMythical').textContent = '$' + (avgMythicalValue * probMythical).toFixed(4); document.getElementById('probLegendary').textContent = (probLegendary * 100).toFixed(2) + '%'; document.getElementById('contribLegendary').textContent = '$' + (avgLegendaryValue * probLegendary).toFixed(4); document.getElementById('probExotic').textContent = (probExotic * 100).toFixed(2) + '%'; document.getElementById('contribExotic').textContent = '$' + (avgExoticValue * probExotic).toFixed(4); document.getElementById('probSpecial').textContent = (probSpecial * 100).toFixed(2) + '%'; document.getElementById('contribSpecial').textContent = '$' + (rareItemValue * probSpecial).toFixed(4); updateChart(numCases, totalCost, estimatedReturn, expectedValuePerCase, rareItemValue, rareDropRate); } function validateInputs() { var isValid = true; isValid &= validateInput('caseCost', 'caseCostError', 0); isValid &= validateInput('keyCost', 'keyCostError', 0); isValid &= validateInput('numCases', 'numCasesError', 1); isValid &= validateInput('avgItemValue', 'avgItemError', 0); isValid &= validateInput('rareItemValue', 'rareItemError', 0); isValid &= validateInput('rareDropRate', 'rareDropRateError', 0, 100, true); // Percentage // Set a reasonable max for numCases for chart performance/relevance if (parseInt(document.getElementById('numCases').value) > 100) { document.getElementById('numCasesError').textContent = 'For chart clarity, limit to 100 cases.'; isValid = false; } return isValid; } function resetForm() { document.getElementById('caseCost').value = '2.50'; document.getElementById('keyCost').value = '2.50'; document.getElementById('numCases').value = '10'; document.getElementById('avgItemValue').value = '0.05'; document.getElementById('rareItemValue').value = '15.00'; document.getElementById('rareDropRate').value = '0.39'; document.getElementById('caseCostError').textContent = "; document.getElementById('keyCostError').textContent = "; document.getElementById('numCasesError').textContent = "; document.getElementById('avgItemError').textContent = "; document.getElementById('rareItemError').textContent = "; document.getElementById('rareDropRateError').textContent = "; document.getElementById('resultsSection').style.display = 'none'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Reset table to default state or clear resetTable(); } function resetTable() { // Clear or reset calculation-dependent table cells if necessary var elements = [ 'probCommon', 'contribCommon', 'probUncommon', 'contribUncommon', 'probRare', 'contribRare', 'probMythical', 'contribMythical', 'probLegendary', 'contribLegendary', 'probExotic', 'contribExotic', 'probSpecial', 'contribSpecial' ]; for (var i = 0; i < elements.length; i++) { document.getElementById(elements[i]).textContent = ''; } } function copyResults() { var profitLoss = document.getElementById('estimatedProfitLoss').textContent; var totalSpent = document.getElementById('totalSpent').textContent; var estimatedReturn = document.getElementById('estimatedReturn').textContent; var evPerCase = document.getElementById('expectedValuePerCase').textContent; // Get intermediate table values var probCommon = document.getElementById('probCommon').textContent; var contribCommon = document.getElementById('contribCommon').textContent; var probUncommon = document.getElementById('probUncommon').textContent; var contribUncommon = document.getElementById('contribUncommon').textContent; var probRare = document.getElementById('probRare').textContent; var contribRare = document.getElementById('contribRare').textContent; var probMythical = document.getElementById('probMythical').textContent; var contribMythical = document.getElementById('contribMythical').textContent; var probLegendary = document.getElementById('probLegendary').textContent; var contribLegendary = document.getElementById('contribLegendary').textContent; var probExotic = document.getElementById('probExotic').textContent; var contribExotic = document.getElementById('contribExotic').textContent; var probSpecial = document.getElementById('probSpecial').textContent; var contribSpecial = document.getElementById('contribSpecial').textContent; var assumptions = "Key Assumptions:\n" + " – Avg Common Item Value: " + avgItemValueInput.value + " USD\n" + " – Est. Rare Item Value: " + rareItemValueInput.value + " USD\n" + " – Rare Drop Rate: " + rareDropRateInput.value + "%\n"; var textToCopy = "CS:GO Case Opening Results:\n" + "—————————-\n" + "Estimated Profit/Loss: " + profitLoss + "\n" + "Total Spent: " + totalSpent + "\n" + "Estimated Gross Return: " + estimatedReturn + "\n" + "Expected Value Per Case: " + evPerCase + "\n\n" + "Item Tier Breakdown:\n" + " – Common: " + probCommon + " | Contribution: " + contribCommon + "\n" + " – Uncommon: " + probUncommon + " | Contribution: " + contribUncommon + "\n" + " – Rare: " + probRare + " | Contribution: " + contribRare + "\n" + " – Mythical: " + probMythical + " | Contribution: " + contribMythical + "\n" + " – Legendary: " + probLegendary + " | Contribution: " + contribLegendary + "\n" + " – Exotic: " + probExotic + " | Contribution: " + contribExotic + "\n" + " – Special: " + probSpecial + " | Contribution: " + contribSpecial + "\n\n" + assumptions; var textArea = document.createElement("textarea"); textArea.value = textToCopy; 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 ? 'Copied!' : 'Copy failed'; console.log('Copy command was ' + msg); var feedback = document.getElementById('copyFeedback'); feedback.textContent = 'Copied!'; feedback.classList.add('visible'); setTimeout(function() { feedback.classList.remove('visible'); }, 2000); } catch (err) { console.log('Unable to copy', err); var feedback = document.getElementById('copyFeedback'); feedback.textContent = 'Copy failed!'; feedback.classList.add('visible'); setTimeout(function() { feedback.classList.remove('visible'); }, 2000); } document.body.removeChild(textArea); } function updateChart(numCases, totalSpent, estimatedReturn, evPerCase, rareItemValue, rareDropRate) { // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var caseCost = parseFloat(document.getElementById('caseCost').value); var keyCost = parseFloat(document.getElementById('keyCost').value); var dataPointsReturn = []; var dataPointsProfitLoss = []; var labels = []; // Simulate outcomes for a range of openings up to numCases // Focus on showing expected value vs. total cost, and potential range var maxSimulations = Math.min(numCases, 50); // Limit simulations for performance/clarity for (var i = 1; i maxSimulations) { labels.push(numCases); var simulatedTotalCost = (caseCost + keyCost) * numCases; var simulatedEstimatedReturn = evPerCase * numCases; var simulatedProfitLoss = simulatedEstimatedReturn – simulatedTotalCost; dataPointsReturn.push(simulatedEstimatedReturn); dataPointsProfitLoss.push(simulatedProfitLoss); } var chartData = { labels: labels, datasets: [ { label: 'Estimated Gross Return', data: dataPointsReturn, borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 3, yAxisID: 'y-axis-1' }, { label: 'Total Cost', data: labels.map(function(label, index) { return (caseCost + keyCost) * label; }), borderColor: 'rgba(220, 53, 69, 1)', // Danger color backgroundColor: 'rgba(220, 53, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 3, yAxisID: 'y-axis-1' }, { label: 'Estimated Profit/Loss', data: dataPointsProfitLoss, borderColor: 'rgba(0, 74, 153, 1)', // Primary color backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, tension: 0.1, pointRadius: 3, yAxisID: 'y-axis-2' // Use a secondary y-axis for profit/loss } ] }; var minY = Math.min(…dataPointsProfitLoss) – Math.abs(evPerCase * numCases * 0.1); // Add some padding var maxY = Math.max(…dataPointsReturn, …labels.map(function(label, index) { return (caseCost + keyCost) * label; })) + Math.abs(evPerCase * numCases * 0.1); // Add padding chartInstance = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { 'y-axis-1': { // Primary axis for amounts type: 'linear', position: 'left', title: { display: true, text: 'Amount (USD)' }, beginAtZero: true, grid: { color: 'rgba(200, 200, 200, 0.3)' } }, 'y-axis-2': { // Secondary axis for profit/loss type: 'linear', position: 'right', title: { display: true, text: 'Profit / Loss (USD)' }, grid: { drawOnChartArea: false, // only want the grid lines for primary axis to show }, // Adjust scale to center around zero if needed min: Math.min(minY, -Math.abs(totalSpent/2)), // Dynamically set min/max max: Math.max(maxY, Math.abs(totalSpent/2)) }, x: { title: { display: true, text: 'Number of Cases Opened' }, grid: { color: 'rgba(200, 200, 200, 0.3)' } } }, plugins: { tooltip: { mode: 'index', intersect: false }, legend: { position: 'top' } }, hover: { mode: 'nearest', intersect: true } } }); } // Initial calculation on load if default values are present document.addEventListener('DOMContentLoaded', function() { // Check if inputs have default values before calculating var defaultCaseCost = parseFloat(document.getElementById('caseCost').value); var defaultKeyCost = parseFloat(document.getElementById('keyCost').value); var defaultNumCases = parseInt(document.getElementById('numCases').value); var defaultAvgItemValue = parseFloat(document.getElementById('avgItemValue').value); var defaultRareItemValue = parseFloat(document.getElementById('rareItemValue').value); var defaultRareDropRate = parseFloat(document.getElementById('rareDropRate').value); if (defaultCaseCost && defaultKeyCost && defaultNumCases && defaultAvgItemValue && defaultRareItemValue && defaultRareDropRate) { calculateCases(); } // Initialize canvas size appropriately canvas.width = canvas.offsetWidth; canvas.height = 400; // Fixed height or dynamic based on container }); // Dummy Chart.js library inclusion – replace with actual library or pure JS drawing // For this example, we'll simulate its existence. In a real scenario, you'd include: // // For a pure JS solution without external libraries, SVG or Canvas API drawing would be used. // — Placeholder for Chart.js or similar library — // This is a conceptual representation. A real implementation requires the Chart.js library. // If Chart.js is not available, the chart will not render. var Chart = window.Chart || function() { console.warn("Chart.js library not found. Chart will not render."); this.chart = { destroy: function() {} }; // Mock destroy method return this; }; Chart.prototype.destroy = function() { console.log("Chart destroyed (mock)"); }; // — End Placeholder — // Input element references for copyResults function var avgItemValueInput = document.getElementById('avgItemValue'); var rareItemValueInput = document.getElementById('rareItemValue'); var rareDropRateInput = document.getElementById('rareDropRate');

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