Cost model
All-in inputs
Purchase price, grading fee, shipping, insurance, tax and selling fees are included in the calculation.
Feature
Replace best-case guessing with a realistic grading probability model.
EV
Expected value before grading.
ROI
Profit after all costs.
Risk
Grade downside made visible.
Product preview
Static app snapshotBased on the real ROI Calculator: card selection, cost inputs, probability sliders and result cards.
Kardive app
Grade Probability Distribution
Illustrative, non-interactive preview
The screen below is a static snapshot based on the real Kardive app. Buttons and controls are intentionally inactive on this marketing page.
Decision engine
Competing trackers often show price history or a simple grade spread. Kardive focuses on the actual decision: total cost, grade probability, expected value, break-even grade and downside risk. The preview reflects the real calculator blocks users interact with in the app.
Decision example
If PSA 9 is barely profitable and PSA 8 loses money, Kardive keeps that downside visible before the user pays grading and shipping fees.
Cost model
All-in inputs
Purchase price, grading fee, shipping, insurance, tax and selling fees are included in the calculation.
Grade risk
10 / 9 / 8 / 7-
The result shows what happens by bucket instead of hiding everything behind PSA 10 upside.
Expected value
Weighted EV
Probability distribution turns grade uncertainty into a decision metric.
Kardive rules
Protected math
Verdict, risk and limits are calculated consistently.
Why Kardive is different
| Decision area | Generic tracker | Spreadsheet | Kardive |
|---|---|---|---|
| Main question | What is the card worth? | What does my formula say? | Should I grade, sell raw or wait? |
| Fees | Often excluded. | Manual and error-prone. | Built into every scenario and export. |
| Grade uncertainty | Best-grade focused. | Possible but custom. | Single grade and probability distribution modes. |
| Outcome | Price reference. | Static row. | Verdict, risk, insights and next actions. |
Workflow
Use cases
Compare raw value against PSA, CGC or BGS outcomes after every cost and fee.
See whether the card survives a realistic fallback grade instead of relying on a 10.
Save or duplicate the scenario to test new costs, a new grade distribution or another company later.
Users can choose a single target grade for a quick answer, or use probability distribution mode when they want expected value across several possible outcomes.
The UI keeps probabilities capped at 100 percent. Once the distribution is full, users can lower a bucket but cannot push the total above 100.
Expected value is the weighted sum of net profit by grade bucket. Expected ROI divides that value by total cost engaged, keeping downside grades visible.
A card can look excellent in PSA 10 and still be a poor submission if the realistic outcome is closer to 8 or 9. Distribution mode makes that tradeoff visible.
How the pieces connect
Kardive turns market data and user assumptions into a grading decision users can revisit and improve.
FAQ
Grade Probability Distribution helps users move from Pokémon card research to a concrete grading decision. Model a realistic spread across 10, 9, 8 and 7 or lower outcomes instead of assuming every card hits the top grade.
This page describes how the feature works in Kardive: card metadata, raw value, graded prices, user cost defaults, saved assumptions and plan-aware access where relevant.
A tracker usually answers what a card is worth, and a spreadsheet depends on manual formulas. Kardive connects the same context to grading-specific decisions: costs, grade outcomes, expected value, risk, saved workflows and plan-aware actions.
The feature either feeds the calculator, explains a calculator result, saves a calculator scenario or brings the user back when a card needs a fresh ROI check.
Free and Pro access depends on the workflow. The public site sends people to login, while Kardive checks limits and Pro features inside the app.
Keep researching
Ready to test your next grading decision?