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A financial model including card value, probability of success, and OPSEC recovery cost
In 2026, successful carders stopped guessing. They use a financial model that allows them to calculate their expected loss in advance and make decisions based on data, not emotion.
In this article, we'll build a realistic financial model, show you how to calculate your expected loss, and explain when it's worth taking risks and when to stop.
Expected Loss=C×(1−P)+R×(1−P)
Where:
Expected Loss=45×(1−0.75)+20×(1−0.75)=11.25+5=$16.25
This means that each hit costs you $16.25 on average, even if you win sometimes.
Expected Profit=(Gross Profit×P)−Expected Loss
Where:
Expected Profit=(350×0.75)−16.25=262.5−16.25=$246.25
Example 1: High Risk
Expected Loss = 50 × 0.5 + 25 × 0.5 = 25 + 12.5 = $37.5
Expected Profit = (350 × 0.5) − 37.5 = 175 − 37.5 = $137.5
Still profitable, but with a low margin of safety.
Example 2: Critical Risk
Expected Loss = 60 × 0.7 + 30 × 0.7 = 42 + 21 = $63
Expected Profit = (350 × 0.3) − 63 = 105 − 63 = $42
Marginal - better to improve OPSEC.
Example 3: Guaranteed Loss
Expected Profit = (350 × 0.2) − (50 × 0.8 + 25 × 0.8) = 70 − 60 = $10
It’s not worth the risk – the cost of a mistake is too high.
Stay analytical. Stay disciplined.
And remember: in the world of fraud, mathematics is your best ally.
Introduction: A mistake is not a failure, but an investment
Many carders view losing a card or a failed hit as a failure. But in reality, a mistake is the price you pay for information. The key is understanding whether the information is worth the money.In 2026, successful carders stopped guessing. They use a financial model that allows them to calculate their expected loss in advance and make decisions based on data, not emotion.
In this article, we'll build a realistic financial model, show you how to calculate your expected loss, and explain when it's worth taking risks and when to stop.
Part 1: Components of a Financial Model
Any hit has three key cost components:| Component | Description | Example |
|---|---|---|
| C (Cost of Card) | Cost of the card | $45 |
| P (Probability of Success) | Probability of success | 75% |
| R (Recovery Cost) | The Cost of Recovering from OPSEC Failure | $20 |
Key Insight:
Expected Loss = C × (1 – P) + R × (1 – P)
Part 2: Expected Loss Formula
Basic formula:
Expected Loss=C×(1−P)+R×(1−P)Where:
- C = cost of the card,
- P = probability of success (in fractions, e.g. 0.75),
- R = OPSEC recovery cost (new profile, new IP, time).
Calculation example:
- C = $45,
- P = 75% (0.75),
- R = $20.
Expected Loss=45×(1−0.75)+20×(1−0.75)=11.25+5=$16.25
This means that each hit costs you $16.25 on average, even if you win sometimes.
Part 3: Calculating Expected Profit
Formula:
Expected Profit=(Gross Profit×P)−Expected LossWhere:
- Gross Profit = net profit from a successful hit (for example, $350).
Example:
- Gross Profit = $350,
- P = 0.75,
- Expected Loss = $16.25.
Expected Profit=(350×0.75)−16.25=262.5−16.25=$246.25
Conclusion:
This hit is profitable because the expected profit is > 0.
Part 4: How to Determine the Probability of Success (P)
Data sources:
- Field reports (Q2 2026):
- Steam Wallet: 75–80%,
- Razer Gold: 70–75%,
- Shein: 60–65%.
- Your personal experience:
- If 7 out of 10 hits are successful → P = 70%.
- OPSEC Quality:
- Bare metal RDP + IPRoyal proxy → +10% к P,
- VPS + cheap proxy → -20% to P.
Rule:
Don't use general numbers - calibrate P to your reality.
Part 5: OPSEC Recovery Costs (R)
What is included in R:
| Element | Price | When is it applied? |
|---|---|---|
| New profile | $0 (Dolphin Anty free tier) | After every failure |
| New IP session | $2–5 (IP Royale) | If the IP is blocked |
| Time to set up | $10–$15 (estimated for your time) | After every failure |
| Loss of trust in the site | $20–50 (not reusable) | In case of frequent failures |
Average R: $20 is a realistic estimate for 2026.
Part 6: Practical Application – When to Take Risks?
Decision making rule:
If Expected Profit > 0 → the operation is profitable.
If Expected Profit < 0 → the operation is unprofitable.
- C = $50,
- P = 50% (poor OPSEC),
- R = $25.
Expected Loss = 50 × 0.5 + 25 × 0.5 = 25 + 12.5 = $37.5
Expected Profit = (350 × 0.5) − 37.5 = 175 − 37.5 = $137.5
- C = $60,
- P = 30% (VPS + datacenter proxy),
- R = $30.
Expected Loss = 60 × 0.7 + 30 × 0.7 = 42 + 21 = $63
Expected Profit = (350 × 0.3) − 63 = 105 − 63 = $42
- C = $50,
- P = 20%,
- R = $25.
Expected Profit = (350 × 0.2) − (50 × 0.8 + 25 × 0.8) = 70 − 60 = $10
Part 7: How to Minimize Expected Loss
Cost Reduction Strategies:
- Improve OPSEC:
- Switch to bare metal RDP → +10% to P,
- Use IPRoyal → reduces R (less blocking).
- Test it cheap:
- Start with $5 dough → C = $5 instead of $50.
- Automate recovery:
- Profile templates in Dolphin Anty → reduces R (setup time).
Golden rule:
It's better to spend $10 on OPSEC upgrades than to lose $50 on cards.
Part 8: Long-Term Model - Break-Even Point
Carder's financial schedule
| Month | Cost | Expected profit | Balance |
|---|---|---|---|
| 1 | –$100 | $246 | +$146 |
| 2 | –$100 | $246 | +$292 |
| 3 | –$100 | $246 | +$438 |
Break-even point: already in the first month, if P ≥ 70%.
Conclusion: Invest in knowledge, not cards
Expected loss is not a threat, but a tool. It helps you:- Make data-driven decisions,
- Avoid emotional mistakes,
- Maximize profit with minimal risk.
Final thought:
The best carder is not the one who never makes mistakes, but the one who knows the value of every mistake.
Stay analytical. Stay disciplined.
And remember: in the world of fraud, mathematics is your best ally.