Predict your final marks with flexible weighted components. Adjust exam expectations and bonuses instantly. Turn study time into results with better weekly decisions.
| Student | Coursework | Midterm | Final expected | Predicted score | Grade |
|---|---|---|---|---|---|
| Ayesha | 78% | 70% | 82% | 78.80% | C+ |
| Hamza | 88% | 81% | 90% | 87.80% | B+ |
| Sana | 65% | 60% | 72% | 66.80% | D+ |
The predicted course score uses a weighted average of components:
The required final exam score rearranges the same equation:
Most courses combine multiple components. This calculator models that structure with three primary inputs: coursework, midterm, and final exam. Each score is multiplied by its weight, then summed and divided by 100. When weights do not total 100, normalization rescales them proportionally so predictions stay comparable across different grading schemes.
Students often know their current averages but are unsure how the final will change outcomes. By entering an expected final score, you can see a predicted course result immediately. The variability control adds a low and high estimate by shifting the expected final up and down, producing a simple range that supports risk-aware planning.
Set a target course grade to compute the minimum final exam score needed. The calculator rearranges the weighted equation to solve for the final exam term. If the required value exceeds 100%, the goal is unrealistic under current assumptions. If it is below 0%, your target is already secured.
Attendance points and extra credit are applied after the weighted average as additive points, which matches common grading policies. Keeping these separate from weights helps you test policy changes: a +2 bonus can lift borderline outcomes without changing academic performance inputs, and negative adjustments can model penalties.
Numeric predictions are translated into a letter grade using either a standard A–F scale or a plus/minus scale. This mapping makes it easier to communicate results and compare scenarios. Use the same scale your institution applies so the predicted letter aligns with reporting standards.
Downloadable CSV and PDF reports capture inputs, weights, and outputs in a tidy format. This is useful for academic advising, progress reviews, and weekly planning. Save multiple runs to document improvement: compare predicted scores across different expected-final scenarios and track which study actions moved the projection. For teams, counselors, or tutors, the captured table provides a shared reference point. Because every field is visible, students can discuss tradeoffs, such as raising coursework consistency versus aiming for a higher final. Re-run after each assessment to keep forecasts current during the remaining weeks.
Add smaller items into coursework, or adjust weights to match their combined share. The model stays accurate as long as the entered averages represent the same grouping used in grading.
Enable it when your weights do not sum to 100, or when you want a fair comparison across courses. If your syllabus already totals 100, leave it off.
Many courses apply bonuses after computing the weighted average. Adding points lets you test policy effects without distorting component weights. Use negative values to model penalties.
The range shifts your expected final up and down by the variability amount, then recomputes the overall score. It is a planning aid, not a statistical confidence interval.
It is the minimum final exam percentage needed to reach your target course grade, given current inputs and bonuses. Values above 100 indicate the target is not reachable under assumptions.
No. Exports are generated in your browser from the on-screen table. The file is downloaded locally, and nothing is automatically sent to a server.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.