Grading ROI Calculator: The Math Every Submission Needs

Grading is profitable when the math works and a money-loser when it doesn't. Yet most submitters never run the math. Here's the formula every submission should pass before you ship a card.

The ROI formula

For each card, calculate Expected Return on Submission (EROS):

EROS = (Predicted Grade Comp × Sell-Through Rate × Marketplace Take) − All-In Submission Cost − Raw Sale Opportunity Cost

Or, more practically:

EROS = (Predicted PSA 10 × P(10) + Predicted PSA 9 × P(9) + ...) × 0.85 − $30 − Raw Comp

Where:

• P(10) = probability the card grades a 10 (use AI confidence).
• 0.85 accounts for ~13% eBay seller fees plus shipping costs.
• $30 is a typical all-in submission cost (varies by tier).
• Raw Comp is what you'd get selling the card raw today.

Positive EROS = grade. Negative EROS = sell raw.

A worked example

You have a Caleb Williams Prizm rookie. AI predicts PSA 10 with 75% confidence, PSA 9 with 25% probability.

• PSA 10 comp: $300
• PSA 9 comp: $75
• Raw comp: $60
• Submission tier: PSA Value, all-in cost: $30

EROS = (300 × 0.75 + 75 × 0.25) × 0.85 − 30 − 60
     = (225 + 18.75) × 0.85 − 30 − 60
     = 207.18 − 30 − 60
     = $117.18

Positive $117. Grade it.

Now flip the inputs

Same card, but AI predicts PSA 10 with only 30% confidence and PSA 9 with 60%, PSA 8 with 10%.

EROS = (300 × 0.30 + 75 × 0.60 + 30 × 0.10) × 0.85 − 30 − 60
     = (90 + 45 + 3) × 0.85 − 30 − 60
     = 138 × 0.85 − 30 − 60
     = 117.30 − 30 − 60
     = $27.30

Still positive — but barely. The 90+ days of waiting for $27 of upside isn't a great use of capital. Sell raw.

The "sell raw" threshold

Most experienced collectors use a rule of thumb: EROS must exceed $50 and the upside multiple must exceed 2x raw comp. Anything below that, and the time and risk aren't worth it.

What the formula misses

The formula doesn't capture:

• Time-to-liquidity. A 90-day turnaround during a hot rookie window can cost more than the EROS shows.
• Slab durability. A graded card in your collection holds value better.
• Sentimental value. If you're keeping it forever, ROI is irrelevant.

Use the formula as a default. Override it only when you know why you're overriding.

How AI pre-grading completes the formula

The hardest input to estimate is P(grade) — the probability your card hits each grade. Without AI, you're guessing. With AI, you have a calibrated probability based on visual evidence.

CardSense AI gives you predicted grade, confidence, and live comps for the predicted grade — exactly the inputs the EROS formula needs.

The bottom line

Grading without math is gambling. Run the EROS formula on every card and you'll cut your losing submissions to near zero. The collectors making money in 2026 aren't lucky. They're calculators with sleeves.