Risk Calculator

Calculate expected loss, mitigation ROI, risk scores, and sensitivity analysis. Includes risk matrix, breakeven analysis, and visual risk gauge.

Expected Loss
$15,000.00
30.00% ร— $50,000.00 = $15,000.00
Mitigated Expected Loss
$5,000.00
10.00% ร— $50,000.00 = $5,000.00
Mitigation Benefit
$10,000.00
Expected loss reduction: $15,000.00 โˆ’ $5,000.00
ROI of Mitigation
100.0%
โœ… Mitigation is cost-effective
Risk Level
High
Risk score: $15,000.00
Net Savings
$5,000.00
Benefit ($10,000) minus cost ($5,000)

Risk Level Gauge

30.00%
Low (0%)Medium (25%)High (50%)Critical (100%)

Sensitivity Analysis

ProbabilityExpected LossAfter MitigationNet Benefit
10%$5,000$5,500$-500
20%$10,000$6,000$4,000
30%$15,000$6,500$8,500
40%$20,000$7,000$13,000
50%$25,000$7,500$17,500
60%$30,000$8,000$22,000
70%$35,000$8,500$26,500
80%$40,000$9,000$31,000
90%$45,000$9,500$35,500

Risk Matrix Scenarios

ScenarioProbabilityImpactExpected LossLevel
Very Low5.00%$5,000$250Low
Low15.00%$15,000$2,250Low
Medium35.00%$25,000$8,750Medium
High65.00%$40,000$26,000Critical
Very High85.00%$50,000$42,500Critical
Planning notes, formulas, and examples

About the Risk Calculator

The Risk Calculator computes expected loss, mitigation return on investment, risk scores, and sensitivity analysis for any risk scenario. Enter the probability of occurrence, potential impact, and mitigation details to get a complete risk assessment with visual aids.

Risk management requires quantifying uncertainty. The expected loss (probability ร— impact) gives the weighted average outcome, while the risk score helps categorize threats as low, medium, high, or critical. By comparing expected loss with and without mitigation, you can make data-driven decisions about where to invest in risk reduction.

This calculator includes a sensitivity table showing how expected loss moves as probability changes, a risk matrix for quick prioritization, and a gauge that summarizes the current rating. That combination is useful when you need both a numeric estimate and a simple way to compare one risk against another.

When This Page Helps

Use this calculator when you need a quick expected-loss estimate and a disciplined way to judge whether mitigation is worth paying for. It is practical for project planning, procurement, insurance-style comparisons, and any review where probability estimates are rough but decisions still need a consistent framework.

How to Use the Inputs

  1. Enter the probability (%) that the risk event occurs.
  2. Enter the financial impact (cost) if the risk materializes.
  3. Enter the cost of mitigation measures.
  4. Enter the reduced probability (%) after mitigation.
  5. Use presets for common scenarios like project risk or insurance.
  6. Review expected loss, mitigation benefit, and ROI in the output cards.
  7. Check the sensitivity table to see how results change with probability.
  8. View the risk gauge for a visual risk level assessment.
Formula used
Expected Loss = Probability ร— Impact. Mitigated Loss = Mitigated Probability ร— Impact. Benefit = Expected Loss โˆ’ Mitigated Loss. ROI = (Benefit โˆ’ Cost) / Cost ร— 100.

Example Calculation

Result: Expected Loss = $15,000, Mitigated Loss = $5,000, ROI = 100%

Expected loss: 30% ร— $50,000 = $15,000. Mitigated: 10% ร— $50,000 = $5,000. Benefit: $10,000. ROI: ($10,000 โˆ’ $5,000) / $5,000 = 100%. Mitigation is worthwhile.

Tips & Best Practices

  • Expected loss is the minimum you should budget for risk reserves.
  • If ROI is negative, consider accepting the risk rather than mitigating.
  • Use the sensitivity table when you're unsure about the exact probability.
  • Document your probability estimates โ€” even rough estimates beat ignoring risks.
  • High-impact, low-probability events may need mitigation despite negative ROI (catastrophic risk).
  • Review and update risk assessments quarterly as conditions change.

Expected Value in Risk Management

Expected value is the cornerstone of quantitative risk analysis. By multiplying probability by impact, we convert uncertain future events into comparable dollar amounts. A 5% chance of a $1M loss ($50K expected) can be directly compared to a 50% chance of a $120K loss ($60K expected), enabling rational prioritization.

Mitigation Decision Framework

The decision to mitigate follows simple economics: mitigate when the benefit exceeds the cost (ROI > 0). However, real decisions also consider risk appetite, regulatory requirements, and cascading effects. A startup might accept risks that a Fortune 500 company would mitigate due to different risk capacities.

Risk Registers and Portfolios

In practice, organizations maintain risk registers listing dozens or hundreds of identified risks. Each is scored using probability ร— impact, then plotted on a risk matrix. This calculator models the assessment for individual entries. The total portfolio expected loss is the sum of all individual expected losses, assuming independence.

Sources & Methodology

Last updated:

Frequently Asked Questions

  • Expected loss is the probability-weighted average cost of a risk: Probability ร— Impact. A 30% chance of losing $50,000 has an expected loss of $15,000. It represents the long-run average cost if you face this risk repeatedly.