Grade Curve Calculator
Put in the raw score you got back. You get what it becomes under each of the four curve methods that are actually documented, the letter each one earns on your syllabus's cut-offs, and how far apart they are.
This is the one page on this site that can't give you a single answer. The number that decides it is your instructor's choice, and it isn't written on anything you were handed.
Your score before the curve
Put in the raw percentage you were handed back. Then fill in whichever of the numbers below you were actually told — a method you don't have the numbers for simply won't answer, which is the honest result.
What your instructor chose
The cut-offs on your syllabus
The same score under all four curves
Your 68% is a D+ before any curve. Under the four methods you've given numbers for, it comes back anywhere from 75% to 82.5% — 3 different letter grades for one piece of work. Which one you actually got is a choice your instructor made and almost certainly did not write down.
| Method | Curved | Change | Letter |
|---|---|---|---|
| Flat additioncurved = raw + points added | 75% | +7 | C |
| Scale to the top scorecurved = raw × 100 ÷ highest score | 77.3% | +9.3 | C+ |
| Square-root curvecurved = √(raw × 100), i.e. 10 × √raw | 82.5% | +14.5 | B- |
| Fit a mean and a spreadcurved = target mean + (target spread ÷ class spread) × (raw − class mean) | 78.7% | +10.7 | C+ |
What each curve does to everyone else
The same methods applied across the range. A curve doesn't just move your score — it decides who in the class gains the most, and the four disagree about that too.
| Raw | Flat addition | Scale to the top score | Square-root curve | Fit a mean and a spread |
|---|---|---|---|---|
| 40% | 47%+7 | 45.5%+5.5 | 63.2%+23.2 | 55.3%+15.3 |
| 55% | 62%+7 | 62.5%+7.5 | 74.2%+19.2 | 67.8%+12.8 |
| 68% | 75%+7 | 77.3%+9.3 | 82.5%+14.5 | 78.7%+10.7 |
| 70% | 77%+7 | 79.5%+9.5 | 83.7%+13.7 | 80.3%+10.3 |
| 85% | 92%+7 | 96.6%+11.6 | 92.2%+7.2 | 92.8%+7.8 |
| 100% | 107%+7 | 113.6%+13.6 | 100%0 | 105.3%+5.3 |
| As a line | × 1 + 7 | × 1.136 | not a line | × 0.833 + 22 |
Read the bottom row. Three of these four are the same operation — multiply by something, add something — with one of the two numbers pinned. Flat addition is the line with the multiplier held at 1; scaling to the top score is the line with nothing added. Only the square-root curve is a different shape, and it is the only one whose help isn't spread evenly: it does the most for a raw 25%, less above it, and less below it too — a raw 0 gains exactly nothing.
Informational only — this cannot tell you what your instructor did. Unlike everything else on this site, the number that decides this answer is not on your syllabus. Curving is at the instructor's discretion at most institutions, some universities forbid mandating it, and a few professional schools require it; none of them require the method to be disclosed. Treat every figure here as “what your score becomes if this is what happened”, and ask your instructor which one it was. Your instructor and registrar own the real grade. Nothing you type here leaves your browser.
How this is calculated
Every other tool on this site reads its deciding input off a document you already have — a syllabus, a transcript, a policy your registrar published. This one can't, and saying so is the page. A curve method is the instructor's private choice, is almost never written down, and moves the answer by more than a letter grade. So this page computes all four documented methods and refuses to pick one.
Flat additioncurved = raw + points
Scale to the top scorecurved = raw × 100 ÷ highest
Square-root curvecurved = 10 × √raw
Fit a mean and a spreadcurved = target mean + (target SD ÷ class SD) × (raw − class mean)
The fourth is the one with a citation behind it. Mehvar (2025) writes it exactly that way — “Adjusted Score = Adjusted Mean + (Adjusted SD/Raw SD) × (Raw Score − Raw Mean)” — and points out that holding the SD ratio at 1 collapses it into shifting every score by a constant, which is the first method on the list.
The worked example this page loads with
A raw 68% — a D+ on the plus/minus cut-offs — in a class that averaged 66 with a spread of 12, whose top score was 88, where the instructor either added 7 points or aimed for a 77 average with a spread of 10:
| Method | Curved | Letter |
|---|---|---|
| Flat addition (+7) | 75% | C |
| Scale to the top score (88) | 77.3% | C+ |
| Fit a mean and a spread | 78.7% | C+ |
| Square-root curve | 82.5% | B− |
Three different letters from one piece of work, spanning 7.5 percentage points, and every one of them is a defensible application of a documented method. Nothing about the score you were handed tells you which row you're on.
Three of the four are the same operation
This is the finding that shapes the page. Write each method as a straight line — curved = intercept + slope × raw — and three of them are that line with one constant pinned:
- Flat addition is the line with the slope held at 1. Everyone moves the same distance, so the gaps between students are untouched.
- Scaling to the top score is the line with the intercept held at 0. Everyone is multiplied by the same ratio, so the student who was already ahead gains the most points — a 100 ÷ 88 stretch is worth 12 points at the top of the class and 6 at the bottom.
- Fitting a mean and a spread is the line with both free. It is the general case, and the other two are it with a knob taped down.
- The square-root curve is not a line at all, which is why it is the only one that changes the shape of the class rather than sliding or stretching it. It is also the only one with no institutional publisher: no university calendar or registrar defines it, and it circulates purely as classroom practice.
What the square-root curve actually does
It is usually described as helping the weakest students most. That is wrong at the bottom, and the arithmetic says so plainly. The gain is 10√raw − raw, which peaks at a raw 25% — worth 25 points, turning a 25 into a 50 — and falls away on both sides of it. A raw 0 gains exactly nothing, because the square root of zero is zero. A raw 100 gains nothing either: the top is a fixed point, and no score is ever pushed above it. What the curve really favours is the lower middle of the class, not its floor.
A curve can take points away
Only one of the four can, and it is the one institutions actually mandate. Fitting the class to a target spread narrower than its real one pulls the top down: a 90 in a class fitted to a 77 average with a spread of 4 comes back an 85. Michigan State's College of Law publishes precisely this as a requirement — a target mean of 3.00 in first-year classes, 3.33 in upper-level ones, tolerances of ±0.07 to ±0.17 depending on class size, and no more than 70% of any class in the B range. In a section that did unusually well, that curve is a subtraction. “Curved” is not a synonym for “raised”.
What it assumes
- Every score is a percentage out of 100. If your instructor added 5 points to a 60-point test, that is 8.3 percentage points, not 5 — convert before typing it in. The Test Grade Calculator turns marks into a percentage first.
- Nothing is capped. A flat addition can carry a score past 100 and this page will say so, because whether your instructor clipped it at 100 is another undocumented choice. Scaling to the top score puts exactly one person at 100 by construction.
- The spread is a standard deviation. If your instructor announced a “spread” or a range instead, it is not the same number and the fit will be wrong. A class of identical scores has no spread to stretch, so that method returns no answer rather than dividing by zero.
- A curve never reorders the class. All four methods are increasing, so whoever was ahead of you before is ahead of you after. What changes is how far ahead — and under the three linear methods, not even that: the ratio of the gaps survives untouched.
- One assessment at a time. This curves a single score. Feeding the curved figure into a course grade is the Weighted Grade Calculator's job.
Where this stops being right
- This page cannot tell you which method was used. That is not a limitation to work around; it is the true state of the question. Four documented methods produce four different letters from one score, and the input that picks between them lives in your instructor's head. Every figure here reads “if this is what happened”.
- Many instructors curve by hand, to no method at all. Moving the cut-offs down until the distribution looks right is common, and it is not any of the four formulas above. If your instructor said “an 85 will be an A on this one”, they changed the cut-off table, not the scores — that's the Grade Scale Converter, not this page.
- Some institutions forbid mandating a curve, and some require one. Alberta's policy rules out mandating grades on a curve or a historic distribution; Michigan State's law school requires a numeric target mean. Most universities publish nothing either way, which leaves the decision entirely with the instructor.
- Class statistics you weren't given can't be reverse-engineered. Knowing your own curved and uncurved score identifies a line only if you already know it was a linear method. Two of the four fit almost any single pair of numbers.
- Your instructor and registrar own the real grade. This page computes what each documented method implies, and nothing more.
Sources
The arithmetic needs no authority. What needs citing is the claim the page is built on: that these methods are documented, that institutions take opposite positions on whether curving is even allowed, and that none of them requires the method to be disclosed to you.
Mehvar, R. (2025). A Practical Guide to Grade Adjustment or Curving for Pharmacy and Other Professional Health Programs. Pharmacy, 13(1), 4. Gives the mean-and-spread method as “Adjusted Score = Adjusted Mean + (Adjusted SD/Raw SD) × (Raw Score − Raw Mean)”, notes that an SD ratio of 1 reduces it to a uniform shift, and warns that curving “should not be viewed as a simple remedy to increase the grades when a large number of students perform poorly.”
Michigan State University College of Law, Grade Curve Policy: a mandatory curve with a “target mean of 3.00” for first-year classes and 3.33 for upper-level ones, permitted variances of ±0.07 for larger classes and ±0.17 for classes of twenty or fewer, and “no more than 70% of grades awarded in any class may be B+ (3.33), B (3.00), B− (2.67).” A published curve that can lower grades as readily as raise them.
University of Alberta, Assessment and Grading Policy (UAPPOL): “Grades in any course, examination or other academic assessment shall not be mandated on the basis of a curve or historic distribution of student grades,” and “the distribution of grades shall not be predetermined by any system of quotas that requires a certain number or percentage of grades at a particular level.” The opposite pole from a mandatory curve, published as policy.
Between those two poles sit most universities, which publish nothing at all about curving. That silence is why this page shows four answers instead of one.
Last reviewed: August 2026
Frequently asked questions
How do you calculate a curved grade?
There is no single calculation, which is the honest answer and the reason this page shows four. Adding a fixed number of points to everybody is one. Multiplying every score so the highest in the class becomes 100 is another. Taking the square root of the raw score and multiplying by ten is a third. Moving the class average to a chosen number and stretching or squeezing the spread around it is the fourth, and it is the one written up in the peer-reviewed literature: adjusted score = adjusted mean + (adjusted SD ÷ raw SD) × (raw score − raw mean). Three of those four turn out to be the same straight line with one constant pinned — only the square-root curve is a different shape. A raw 68 comes back a 75, a 77.3, a 78.7 or an 82.5 depending purely on which one your instructor chose, and that choice is not usually written down anywhere you can read it.
Does curving always raise your grade?
No, and the case where it doesn't is the one worth knowing about. A curve that fits the class to a target average and a target spread will lower the top of the class whenever the spread is squeezed: a 90 in a class fitted to an average of 77 with a spread of 4 comes back an 85. That is not a bug in the method, it is the method. Some professional schools require exactly this — Michigan State's College of Law mandates a target mean of 3.00 in first-year classes and caps B-range grades at 70% of any class, so in a section that did unusually well the curve takes grades away rather than handing them out. The other three methods on this page never lower a score, but only because of how they are built, not because curves are generous by nature.
What is the square root curve?
Take the square root of the raw percentage and multiply by ten, so a 64 becomes an 80 and a 49 becomes a 70. It is the only one of the four methods here that needs nothing from the instructor beyond the decision to use it, it never lowers a score, and it never lifts one above 100 — the top is a fixed point. It is usually described as helping the lowest scores most, and that is wrong at the bottom. The gain peaks at a raw 25%, which becomes a 50, and falls away on both sides of that: a raw 0 gains exactly nothing, because the square root of zero is zero. It also has no institutional publisher anywhere — no university calendar or registrar defines it — which puts it in a different evidentiary class from the mean-and-spread fit, and is worth knowing before you assume it is the standard.
Will my professor tell me if the test was curved?
They are generally not required to. Curving is at the instructor's discretion at most institutions and the method almost never appears on a syllabus, which makes this the one question on this site whose deciding input you cannot look up. Policies at the two ends do exist and are worth knowing: the University of Alberta's Assessment and Grading Policy states that grades "shall not be mandated on the basis of a curve or historic distribution of student grades", while Michigan State's College of Law publishes a mandatory curve with numeric target means. Most schools sit between those and say nothing at all. The practical move is to ask directly — "what was the class average, and how were the scores adjusted?" — because with the average and the spread in hand, the fourth method on this page becomes computable rather than hypothetical.
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