Education • GPA
GPA Predictor
Predict your next semester GPA based on expected grades.
College GPA • Scale: 4.0
| Course | Grade | Type | Credits |
|---|
Semester GPA
—/ 4.0
Quality points
—
Credits counted
—
Institutional Note: Academic Disclaimer: Grading standards and conversions vary across institutions and credential evaluators.
Scale: Unweighted 4.0 (A=4.0, A-=3.7, B+=3.3…). P/NP, W, I grades are excluded. GPA = Σ(grade point × credits) / Σ credits.
How to use
- 1Add the courses you are currently taking or plan to take this semester.
- 2Select the grade you expect to earn in each course along with its credit hours.
- 3See your projected semester GPA immediately, and combine it with your current cumulative GPA to forecast the overall result.
Formula
Projected GPA = Σ (expected grade point × credits) / Σ creditsThe predictor applies the same credit-weighted formula as a standard GPA calculation, using the grades you expect rather than grades already earned. Include current cumulative GPA to weight your projection against all completed coursework.
Examples
Plan: A (4cr), B+ (3cr), A- (3cr), B (3cr)
QP: 16.0 + 9.9 + 11.1 + 9.0 = 46.0 ÷ 13.
Projected GPA 3.54
About
The GPA Predictor lets you forecast your grade point average for an upcoming or in-progress semester before final grades are out. Add your courses, choose the grades you expect to receive, and assign credit hours to see the projected GPA instantly. You can also include your current cumulative GPA and credits to see how the projected term would affect your overall average. Students use this tool to estimate semester outcomes, compare planning scenarios, and decide where to focus extra effort based on the impact each course has on their GPA.
Frequently asked questions
How is this different from a regular GPA calculator?
A regular calculator uses grades you've already earned. The predictor uses expected grades so you can forecast a semester before grades are finalized.
How accurate is the prediction?
It is only as accurate as the grades you estimate. Use your performance on assignments and tests so far to make realistic estimates.