**Is Grading Worth It? An Expected-Value Calculator for Cards**

> Set the chance of each grade and what each grade sells for, and see whether grading beats selling the card raw today — plus the gem rate you would need to break even.

Source: https://sportscardradar.com/tools/grading-worth-it-calculator/ · updated: 2026-09-11

[Valdar](https://sportscardradar.com/) / [Free tools](https://sportscardradar.com/tools/) / Is Grading Worth It? An Expected-Value Calculator for Cards

# Is this card worth grading? The expected value, grade by grade

Set what each grade would sell for and how likely each one is, and this compares the expected value of grading against selling the card raw today — after the same selling fee on both sides, and after the cost of the submission. It also prints the gem rate at which the submission breaks even, which is the number that settles the argument.

Free · no sign-up Runs in your browser By [Merey Tleugazin](https://sportscardradar.com/story/) Updated September 11, 2026

Raw value today

$

What an ungraded copy sells for right now, from sold comps rather than asking prices.

All-in cost per card

$

Fee plus postage both ways, insurance and supplies. Work it out in the [grading cost calculator](https://sportscardradar.com/tools/grading-cost-calculator/).

Selling fee

%

Applied to both routes. Starting value read from the marketplace schedule on 2026-09-11.

Now the part only you can fill in: the chance of each grade, and what your card sells for at that grade. Probabilities
may be entered as percentages and are rescaled to 100% for you.

| Grade | Chance | Sells for |
| --- | --- | --- |
| Gem 10 |  |  |
| Mint 9 |  |  |
| NM-MT 8 |  |  |
| NM 7 |  |  |
| Below 7 |  |  |

$65.40

Grading wins on expected value · $13.35 ahead of selling raw today · +25.7%

Sell raw, net$52.05after the same fee

Edge+$13.35grading minus selling raw

Chance of worse50.0%outcomes below the raw sale

Break-even gem rate7.1%what the top grade must hit

Expected sale price$122before fee and cost

Top outcomeGem 10 at 12%the branch carrying the bet

| Grade | Chance | Sells for | Net if it hits | Against selling raw |
| --- | --- | --- | --- | --- |

## What this calculator is comparing

Grading is a choice between two ways of turning one card into money, and the tool holds everything equal except the
choice. On one side, you sell the card raw today and pay a marketplace fee on the sale. On the other, you pay the
all-in cost of a submission, wait, and then sell whatever comes back — at one of five prices, each with its own
likelihood — paying the same fee on that sale. The difference between those two numbers is the edge.

Two details in that sentence do most of the work. The first is that the cost is paid whatever grade returns, so it sits
on every branch of the calculation rather than only on the good one. The second is that the fee applies to both routes:
quoting a graded price against a raw price without the fee on either flatters grading by roughly a seventh of the sale,
which on a cheap card is most of the apparent gain.

What comes out is an expected value, and an expected value is an average over outcomes that have not happened yet. It
is the right way to decide a repeated bet and a poor description of any single submission, where you get one draw from
the distribution and no refund. The readout therefore prints the probability of ending up worse off next to the edge,
because those two numbers together are the decision and either one alone is a slogan.

***The submission pays for itself at a 7.1% gem rate, and everything to the left of that is worse than selling today.** The gold line is the expected value of grading as the chance of the top grade rises; the green line is the $52 a raw sale nets after the same fee. The shaded region is where grading loses. Computed from the worked example loaded in the calculator above: a $60 raw card, $40 all in, a 13.25% selling fee, and a $400 top grade against an average of $84 for everything else. Free to reuse with a link to this page*

## Reading the crossing point

The line is straight, which is the most useful thing about it. Expected value moves in direct proportion to the
probability of the top grade, so there is exactly one crossing, and on either side of it the answer never changes its
mind. That is why a single number — the break-even rate — can replace the whole chart in a conversation.

Read it as a claim you can check. In this example the submission needs 7.1% of copies to
come back at the top grade, and the worked example assumes 12%. The gap between those two
figures is the entire case for submitting. If the population report for your card shows a gem rate below the
break-even, you have your answer without any further argument about corners.

The slope matters as well as the crossing. A steep line means the decision is dominated by the top grade and small
errors in your estimate swing the answer; a shallow line means the card earns most of its money in the middle grades
and the submission is a business rather than a lottery ticket. Cards with a flat line are the ones worth sending in
volume.

## Where do the probabilities come from?

From the grading company's own population report, and from nowhere else that is not fiction. The population report
lists how many copies of that exact card have received each grade, so the share of the population sitting at the top
grade is a measured rate rather than an estimate: [PSA](https://www.psacard.com/pop) publishes
one, and so does every other company in the [grader comparison](https://sportscardradar.com/tools/grader-chooser/). Paste those counts
into the [population report calculator](https://sportscardradar.com/tools/pop-report-calculator/) and it returns the gem rate directly.

Then adjust, and adjust downward. A population rate describes copies that people chose to submit, which is a filtered
sample of the copies that exist — the ones with visible flaws mostly stayed home. If you can already see a soft corner
or a print line, your card is not the average submitted copy. And one input you can settle before paying anything is
centering, because it caps the grade on its own: the [centering calculator](https://sportscardradar.com/tools/centering-calculator/)
turns four border measurements into the highest grade each company's published tolerance allows.

The prices are the other half, and they come from sold listings for that card in that grade, not from a price guide.
Run each grade separately through the [card value calculator](https://sportscardradar.com/tools/card-value-calculator/); a single
figure spanning several grades is how a card gets mispriced by a factor rather than by a percentage.

## How much cost can this submission carry?

The break-even rate answers the question when the cost is fixed. The other way to ask it is to fix the card and move
the cost, which is what actually happens: the same card costs one thing in a twenty-card bulk submission and three
times that on its own, and the postage is the part that moves. Priced at every all-in figure from nothing to
$100, this submission stops paying at $53.35 a card.

***The edge slides down a dollar for every dollar of cost; the downside does not move at all and then jumps by a third.** Gold is what grading beats a raw sale by, read against the left axis; green is the share of outcomes that end up worse than selling today, read against the right. The green line takes only 3 values across the whole range — 18%, 50%, 88% — because it changes only when a whole grade crosses below what a raw sale nets. Every point is one call to the same function the calculator above runs, on the worked example's prices. Free to reuse with a link to this page*

Read the two lines against each other. At $0.00 a card the edge would be $53.35 and only
18% of outcomes would disappoint; at $100 the edge is gone and
88% of them do. That is the arithmetic behind batching: the postage is the same
whether you send one card or twenty, and dividing it by twenty moves this chart further than any argument about
corners.

*What the expected value leaves out, and which way each omission pushes the answer*

| Not in the arithmetic | Which way it pushes | What to do instead |
| --- | --- | --- |
| The wait, and the money tied up in it | Against grading | Treat a thin edge as a negative. A card is unsellable while it is away. |
| Postal loss and damage in transit | Against grading | Rare, not zero, and it sits only on the grading side. Insure both legs and put the premium in the cost field. |
| A mechanical error or a cracked holder | Against grading | Nothing to price, and a reason not to submit a card you could not stand to lose. |
| How good your probability estimates are | Usually against grading | Start from a [population report](https://sportscardradar.com/tools/pop-report-calculator/) and move mass downward, never up. |
| The label premium already inside the prices | Already counted | The graded prices you entered contain the market's opinion of the holder. Which company earns it is the [grader comparison](https://sportscardradar.com/tools/grader-chooser/). |
| Wanting to keep the card | Not a money question | A card you will not sell does not need an expected value. Grade it for protection if you want to, and skip this page. |

Five of the six push the same way, and the arithmetic cannot see any of them. That asymmetry is the reason a positive
edge is a minimum rather than a verdict: the model is optimistic by construction, and the corrections all point in one
direction.

## Half the outcomes lose, and the sum still wins

In the worked example, 50% of the probability mass ends up worse off than selling the
card raw today. Three of the five branches lose money. The expected value is still positive by
$13.35, because the top branch pays $307 net against a $52 raw sale
and one branch that large outweighs three small losses.

This is the shape of nearly every grading decision, and it is why the hobby argues about grading at all. Both
stories are true at once: most submissions of this card disappoint, and submitting is correct. What resolves the
contradiction is how many times you intend to do it. Over fifty cards with this profile, the average is what you
get. Over one card, what you get is one draw, and the most likely single result is the disappointment.

So read the two headline numbers together. A positive edge with a low chance of being worse off is a card to
submit without much thought. A positive edge with a high chance of being worse off is a card to submit only if you
can do it repeatedly and can afford the branch where it comes back an 8.

*The worked example, grade by grade — every figure editable in the tool above*

| Outcome | Chance | Sells for | Net after fee and cost | Against a $52 raw sale |
| --- | --- | --- | --- | --- |
| Gem 10 | 12% | $400 | $307.00 | better by $254.95 |
| Mint 9 | 38% | $110 | $55.43 | better by $3.38 |
| NM-MT 8 | 32% | $70 | $20.72 | worse by $31.33 |
| NM 7 | 12% | $55 | $7.71 | worse by $44.34 |
| Below 7 | 6% | $45 | $-0.96 | worse by $53.01 |

Net figures are the sale price less the 13.25% selling fee less the $40 all-in cost, which is charged on every row.
The prices are round numbers chosen to show the shape of the decision and describe no particular card.

The Mint 9 row is the one to look at twice. It clears a raw sale by $3.38, which is
almost nothing, and it carries 38% of the probability — the largest single branch. A
card whose most likely outcome is a rounding error either way is a card where the answer depends entirely on the top
grade, and that is exactly when the population report stops being interesting and starts being the decision.

## Building your own outcome table

1. **Price the raw card first.** Find sold listings for ungraded copies in the condition yours is actually in, take the median, and put that in the raw field. This is the number the entire comparison stands on, so it is worth ten minutes rather than two.
2. **Get the all-in cost, not the fee.** Add postage in both directions, insurance on the declared value and supplies, then divide by the number of cards in the submission. A single card carries the whole postage bill.
3. **Pull the population report for that exact card.** Same year, same set, same parallel. The card number matters: two cards in the same set can have gem rates that differ by a factor of three.
4. **Turn the population into your five probabilities.** Use the share at each grade as the starting point, then move mass downward if your copy has a flaw you have already spotted. Do not move mass upward. Nobody has ever improved a card by looking at it hopefully.
5. **Price each grade from sold graded listings.** One search per grade, medians only. Where a grade has no recent sales, price it between its neighbours rather than leaving it out, because leaving it out silently assigns it a value of zero.
6. **Read the break-even rate, then go back to the population report.** If the measured gem rate for the card clears the break-even with room to spare, submit. If it is close, the estimate is not accurate enough to distinguish the two options and the correct answer is to keep the money.

## Bottom line

Grading is worth it when the probability-weighted sale price across every grade the card might receive, less the
selling fee and less the all-in cost of the submission, beats what the raw card nets today after the same fee. In the
worked example on this page a $60 raw card with a $400 top grade at 12% and a
$40 all-in cost returns $65 against $52 for selling raw, an edge of
$13.35 — while 50% of the outcomes leave you worse off. The number that settles
the argument is the break-even rate of 7.1%: if the grading company's population report for
that exact card shows a higher gem rate than that, submit, and if it shows a lower one, sell the card as it is. Every
figure here is your estimate except that one, and it is published, dated and free to read — the tables in this tool
were read on 2026-09-11.

## Questions this tool gets asked

Is it worth grading my card?

It is worth grading when the expected sale price across every grade it might receive, net of selling fees, exceeds what it sells for raw today plus the all-in cost of the submission. That is one subtraction, and this tool does it. The reason the question feels hard is that people compare the price of a Gem 10 against the raw price and forget both the cost and the four other grades the card might come back as, which between them usually carry most of the probability.

What is a good expected value on a grading submission?

A positive edge is the minimum, not the target. Submissions tie up money for weeks or months, carry postal risk in both directions, and cannot be reversed, so an edge of a few dollars on a card is not payment for that. A useful rule is that the edge should be large relative to the cost: if the all-in cost is $40 and the edge is $6, the arithmetic says yes and the sensible answer is still no, because your probability estimates are not accurate to 15%.

What probability should I put on a PSA 10?

Start from the grading company’s own population report for that exact card, which is the only non-fictional source for the number. It tells you what share of submitted copies actually received each grade. Then adjust downward for your own copy if you have seen a flaw the population has not, and downward again if the population is thin. The population report is a record of what happened to thousands of copies; your guess about your card is a record of what you hope.

Why does the tool ask for a selling fee on both sides?

Because the comparison people actually face is cash in hand either way, and both routes pay a marketplace. Applying the fee to the graded sale and not to the raw sale would flatter grading by the fee percentage of the raw price, which on a cheap card is most of the edge. The default in the field is the marketplace rate read on 2026-09-11, and it is editable because fee schedules move without notice.

Does the cost include shipping and insurance?

It should, and that is why the field is labelled all-in cost per card rather than grading fee. On a single-card submission the postage in both directions is frequently larger than the fee itself, and insurance on the declared value is charged on top. Work the figure out in the grading cost calculator first, then paste the per-card number into this tool — using the advertised fee alone is the single most common way this calculation comes out wrong.

What does the break-even gem rate mean?

It is the share of copies that would have to reach the top grade for the submission to exactly match selling the card raw today, holding every other outcome in the proportions you set. It converts an argument about whether a card is worth grading into one checkable number: if the population report says the card gems at a higher rate than the break-even, the submission is worth doing, and if it gems lower, it is not.

Can grading make a card worth less than it was raw?

Yes, and it happens far more often than the forums suggest. A card that comes back at 7 or 8 is now publicly documented as a 7 or an 8, and the buyer who would have paid a raw price on the hope of a 9 has gone. Add the fee you paid and the outcome is strictly worse than not submitting. The probability-of-being-worse-off figure in the readout is there because that branch is the one people leave out of the story.

Should I grade a card worth twenty dollars raw?

Almost never, and the arithmetic says so quickly. At a typical all-in cost per card the fee alone is more than the card, so the top grade has to be worth several multiples of the raw price at a probability high enough to carry four losing branches. That combination exists on a small number of junk-wax key rookies with genuinely low gem rates and on nothing else. Put your own numbers in before believing either answer.

## What people open next

1. [**Card grading cost calculator: what a submission really costs per card** Fees plus shipping both ways, insurance, supplies and upcharges — the number that decides submissions.](https://sportscardradar.com/tools/grading-cost-calculator/)
2. [**Population report calculator: gem rate, scarcity and what “pop 12” means** Gem rate, cumulative share and the “one in N” figure most people compute backwards.](https://sportscardradar.com/tools/pop-report-calculator/)
3. [**Graded card premium calculator: what each grade is worth over raw** The multiple at every grade, and the one step in the ladder where the money is.](https://sportscardradar.com/tools/grade-premium-calculator/)
4. [**Card centering calculator: measure the borders, get the ratio and the grade cap** Four measurements in, a 58/42 out — plus the grade each company’s published tolerance allows.](https://sportscardradar.com/tools/centering-calculator/)
5. [**Sports card era checker: what a card’s year says about its value** Nine production eras, and what a common card from each is realistically worth.](https://sportscardradar.com/tools/era-checker/)
6. [**Where to sell sports cards: seven routes compared net of every fee** Seven routes to cash, ranked by what actually lands and how long it takes.](https://sportscardradar.com/tools/where-to-sell-calculator/)

All 24 calculators are listed on the [free tools page](https://sportscardradar.com/tools/),
and the longer write-ups live in [scouting](https://sportscardradar.com/scouting/).

## The card is in your hand. Point the camera at it.

These calculators work on numbers you already have. Valdar gets you the numbers: it identifies the card from one
photo, pulls what that exact card has actually sold for, and estimates the four grading sub-dimensions before you
pay a submission fee. Free to try on iPhone and Android.

[Download on theApp Store](https://apps.apple.com/app/apple-store/id6757157972?pt=127157325&ct=seo&mt=8) [Get it onGoogle Play](https://play.google.com/store/apps/details?id=com.vastflow.sportscard.app&referrer=utm_source%3Dsportscardradar%26utm_medium%3Dweb%26utm_campaign%3Dseo)

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