Grade Calculator

Input format:

Components:

Weight interpretation:

Choose course-share for syllabus percentages; choose normalize for relative weights like 1, 2, 3.

Letter scale:

Use plus/minus for A-, B+, and similar marks; straight letters ignores signs.

Target grade:

Enter an overall course goal from 0 to 200, e.g. 90 for an A-range target.

Remaining course weight:

Enter 0 when pasted rows already represent the full course or course-share weights define the rest.

Drop lowest components:

Use a whole number from 0 to 8; dropped rows stay visible in the ledger.

Late penalty per component:

Enter 0 for none, or a shared deduction such as 10 for every listed late item.

Study cadence:

Use 1-14 days; the value changes recommendation text, not the grade math.

days

Scenario label:

Optional short name for exports, e.g. Midterm recovery plan.

Metric	Value	Copy
{{ row.label }}	{{ row.value }}
Warning {{ idx + 1 }}	{{ warning }}
Component: {{ row.name }}	{{ row.category }} \| entered {{ row.entered }} \| effective {{ row.effective }} \| share {{ row.share }} \| {{ row.impact }} \| {{ row.status }}

Priority	Action	Why	Copy
{{ row.priority }}	{{ row.action }}	{{ row.why }}

Add at least one valid component row to render the share map.

Scenario	Remaining avg	Projected grade	Band	Planning note	Copy
{{ row.label }}	{{ row.remainingAverage }}	{{ row.projectedGrade }}	{{ row.band }}	{{ row.note }}

Embed:

Customize

Include current inputs

Size

Advanced

Width

Height

Aspect ratio

Max height

Collapsible embed

Allow fullscreen

Referrer policy

Sandbox tokens

A course grade is not always the average of every mark you can see. The score on an assignment says how that piece of work went, while the course rules decide how much that piece of work can move the final result. Points, percentages, letter marks, category weights, late penalties, dropped scores, and unfinished work can all change the number.

The important distinction is between performance and influence. A 95% homework score may have less effect than an 82% midterm if the midterm carries more course share. In a raw-points course, a small quiz can matter more than expected when it has many points attached. In a weighted course, a category average can look strong while the final grade still depends on a large exam category that has not been posted yet.

Points: Score earned divided by possible points, such as 18 out of 20.
Percent: A ready-made grade value such as 90%, often used when the point maximum is unknown.
Weight: The amount of influence an item or category has in the final course grade.
Category: A group such as homework, labs, discussions, quizzes, essays, or exams that may have its own rule.

Course grade path from scores to effective percentages, weights, current grade, and target planning.

Course grade models and common interpretation mistakes
Course setup	What usually drives the grade	What can mislead you
Raw points	Total earned points divided by total possible points.	Assuming every assignment has equal influence when point totals differ.
Course-share weights	Each row or category contributes a stated share of the final course grade.	Forgetting that unposted work still owns part of the course.
Normalized weights	Relative weights are rescaled across the entered rows.	Reading relative values as literal final-grade percentages.
Letter-only planning	Letter marks are converted to representative percentages before averaging.	Treating those representative values as official grade cutoffs.

Drop rules deserve special care. A simple lowest-percent drop removes the weakest effective percentage after any shared late penalty. Some learning platforms instead drop the item that improves the assignment group most, and that may not be the lowest percentage when point values differ. Category-specific drops, never-drop rules, closed grading periods, missing work, and instructor rounding can all produce a different official result.

A course grade estimate is most useful when it is treated as a transparent scenario next to the syllabus and official gradebook. It can show what has already been earned, what remains possible, and which assumption needs verification before a deadline, but it cannot replace the instructor's grading policy.

How to Use This Tool:

Choose the input path that matches your grade record, then add weights and target planning after the rows parse cleanly.

Set Input format. Use Points earned out of max for rows such as Quiz 1, 18, 20, 10, Quizzes; Percent and optional weight for Quiz 1, 90, 10, Quizzes; or Letter grade and optional weight for marks such as A-, B+, or PASS.
Paste one item per line in Components. Keep the same column order for the whole run, and quote names or categories that contain commas.
Choose Weight interpretation. Use course-share percentages for syllabus weights, normalize entered weights for relative values, or ignore weights for raw-points and simple-average checks.
Pick Letter scale when letter input or letter bands matter. The plus/minus scale recognizes marks such as A- and B+; the straight-letter scale groups each main letter into one representative value.
Open Advanced for scenario settings. Target grade sets the goal, Remaining course weight adds unfinished work outside course-share mode, Drop lowest components removes the weakest effective percentages, Late penalty per component deducts the same percentage from every parsed row, and Study cadence changes recommendation wording.
Read the summary subtitle and warning rows before trusting Current Grade. Warnings call out skipped rows, missing weights, ignored remaining-weight settings, and targets that require more than 100% on unfinished work.
Use Grade Ledger to verify each component, Action Plan for ranked next steps, the share map for where lost share sits, and Target Runway for remaining-work scenarios.

If a row is ignored, check that it matches the selected input format and contains a valid score, maximum, percent, or letter mark. Fix parser warnings before comparing target averages.

Interpreting Results:

Current Grade is the main percentage after input conversion, late penalty, drop count, and weight model have been applied. The letter beside it comes from the selected letter scale. If the kept-row count, calculation model, or warning list is wrong, correct that issue before reading the target plan.

Gap to target is target grade minus current grade. A negative value means the current scenario is already above the goal.
Tracked course weight is the share represented by kept rows under the active model.
Remaining course weight is the unfinished share used for target planning. In course-share mode it is inferred from entered weights.
Required avg on remaining work is the future average needed to reach the target. Values above 100% mean the target is not reachable under the current assumptions without extra credit or a changed scenario.
Max achievable grade assumes the remaining share earns 100%.
Highest-impact category and Weakest kept component show where earned share has been lost.

The share map groups by category when categories exist. With only one category, it switches to component-level bars so the loss is still visible. Treat four-decimal output as audit detail, not official precision; syllabus rounding, category-specific drop rules, unposted grades, and learning-platform rules can still change the final grade.

The safest confidence check is to match Weight interpretation, Drop lowest components, Late penalty per component, and every warning against the syllabus or gradebook settings before acting on Target Runway.

Technical Details:

Course-grade arithmetic starts by converting each kept component to a percentage. Points rows divide score by maximum points, percent rows already provide the percentage, and letter rows use a representative value from the selected scale. A shared late penalty is applied before drop handling, so it can change which rows are considered lowest.

Weight interpretation determines the denominator for the grade average. Course-share weighting reads positive weights as final-grade shares. Normalized weighting rescales positive weights across the entered work. Ignoring weights uses raw points for points input and a simple row average for percent or letter input.

Formula Core:

The main formulas cover row conversion, penalty adjustment, weighted averages, raw-points averages, and the remaining-work average needed to hit a target.

\begin{array}{lcl} P_{i} & = & \frac{S_{i}}{M_{i}} * 100 \\ E_{i} & = & clamp (P_{i} * (1 - \frac{L}{100}), 0, 200) \\ G_{weighted} & = & \frac{\sum (E_{i} * W_{i})}{\sum W_{i}} \\ G_{points} & = & \frac{\sum (S_{i} * (1 - \frac{L}{100}))}{\sum M_{i}} * 100 \\ A_{needed} & = & \frac{(T - G * \frac{C}{100}) * 100}{R} \end{array}

In these equations, S_i is earned score, M_i is maximum points, P_i is row percent, E_i is effective percent after penalty, L is the late-penalty percent, W_i is kept row weight, G is current grade, T is target grade, C is tracked course weight, and R is remaining course weight. When no remaining share exists, the required-average value is not available.

Weight interpretation rules
Weight interpretation	Calculation rule	Best fit
Auto-detect	Uses course-share weighting when kept weights total 100.5 or less; switches to normalized weighting above that tolerance.	First pass when pasted weights may be final-grade shares or relative values.
Course-share percentages	Reads each valid positive weight as a share of the final course grade and infers remaining share as 100 minus kept weight total.	Syllabus weights such as quizzes 10%, homework 20%, and exams 40%.
Normalize entered weights	Rescales positive weights across the tracked portion rather than reading them as final-grade percentages.	Relative weights such as 1, 2, and 3.
Ignore weights	Points input totals penalized earned points over possible points; percent and letter input average kept rows equally.	Raw-points courses or unweighted checks.

Validation and boundary rules for grade assumptions
Assumption	Accepted behavior	Why it matters
Target grade	0% to 200%.	Allows ordinary goals and extra-credit scenarios.
Remaining course weight	0% to 100%; ignored when course-share weights already define the remaining share.	Sets the future-work runway outside course-share mode.
Drop lowest components	Whole numbers from 0 to 8, applied to the lowest effective percentages.	A global drop may differ from category-specific gradebook rules.
Late penalty	0% to 100%, applied to every parsed row before drops and weights.	The penalty can change both the grade and which row is dropped.
Study cadence	1 to 14 days.	Changes action-plan wording only; it does not change grade math.

A course-share example with 90%, 90%, and 82% at weights 10, 20, and 30 gives (90 * 10 + 90 * 20 + 82 * 30) / 60 = 86. If those rows represent 60% of the course and the target is 90%, the remaining 40% must average 96% because the counted work has earned 51.6 final-grade points so far.

Accuracy and Privacy Notes:

The calculation runs in the current browser page from the rows and settings you enter. It does not connect to a school gradebook, verify instructor policy, or upload component rows for lookup.

Category-specific drop rules, never-drop assignments, missing-work rules, and gradebook rounding can differ from this scenario.
Letter input uses representative percentages, so it is best for planning when exact point values are not available.
Course-share weights over 100% or missing row weights can make a result useful for diagnosis but unsafe for final planning until the warnings are resolved.
Copied tables, downloaded files, and shared URLs can reveal course names, scores, categories, and targets if you choose to share them.

Advanced Tips:

Use Auto-detect only for a first pass. Pin Course-share percentages or Normalize entered weights once you know what the weights mean.
Compare the warning list before and after changing Remaining course weight. In course-share mode the remaining share is inferred and the manual value is ignored.
Set Drop lowest components to match a simple global rule only. If the syllabus drops within a category, model that category separately or keep the official gradebook as the source of truth.
Use Late penalty per component for a shared deduction, not for row-specific penalties. Convert row-specific penalties into adjusted percentages before pasting.
Use Scenario label when exporting or comparing multiple plans, such as no-drop, one-drop, and exam-recovery runs.

Worked Examples:

Mid-course weighted check

Rows of Quiz 1, 18, 20, 10, Quizzes; Homework, 45, 50, 20, Assignments; and Midterm, 82, 100, 30, Exams produce row percentages of 90%, 90%, and 82%. With course-share weighting, Current Grade is 86.00%, Tracked course weight is 60.00%, and a 90% target needs 96.00% on the remaining work.

Unweighted points with a dropped score

Remove the weights from those same rows and set Drop lowest components to 1. The 82% midterm is dropped because it has the lowest effective percent, leaving 63 points earned out of 70 possible. Current Grade becomes 90.00%.

Letter-only planning

Rows of Essay, A-; Project, B+; and Midterm, B under the plus/minus scale map to 91.5%, 88.5%, and 85%. The simple average is 88.33%. With Remaining course weight set to 25 and a 90% target, Required avg on remaining work is 95.00%.

FAQ:

Will this match my learning platform exactly?

Not always. Learning platforms can weight categories, drop scores, round totals, exclude missing work, and apply assignment-group rules in ways that are more specific than a pasted scenario.

Why was one of my lines ignored?

A warning appears when a row does not match the selected Input format or contains an invalid score, maximum, percent, or letter mark. Use the example format under Components, and quote names with commas.

Which score is dropped?

The drop setting removes the lowest effective percentages after any global late penalty. It does not imitate category-specific drop rules, never-drop rules, or platforms that choose the dropped item by total-score impact.

What does letter mode calculate?

Letter mode converts each entered mark into a representative percentage using the selected scale, then applies the same weighting and target math as the other modes. Confirm local cutoffs before treating those values as official.

Why is the required average above 100%?

The target is beyond reach under the current assumptions. Lower the target, add more remaining course weight, include valid extra-credit work if the course allows it, or check whether the entered weights match the syllabus.

Does the grade data leave my browser?

The calculation runs in the current browser page with no gradebook lookup or upload step. Data is copied to the clipboard or saved as a downloaded file only when you choose those actions.

Glossary:

Effective percent: A row's percentage after the global late penalty is applied and before the drop rule is processed.
Course-share weight: A weight that represents a literal portion of the final course grade.
Normalized weight: A relative weight rescaled across the tracked work instead of read as a final-grade percentage.
Tracked course weight: The portion of the course represented by kept rows under the active model.
Target runway: The future-work scenarios showing how different remaining averages affect the projected final grade.
Representative percentage: The numeric value used as a planning stand-in for an entered letter mark.

References:

Weighted Grades, Lehman College Center for Teaching and Learning.
Explanation of Grades, University of Illinois Office of the Registrar.
How do I create rules for an assignment group?, Instructure Community.