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📊 Grade Calculator

Calculate weighted average grade across multiple subjects

Name
Score
Weight(%)
Weighted Average
81.7
Grade: B
F (<60)
D (60-69)
C (70-79)
B (80-89)
A (≥90)

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Grade Calculator Guide

The Grade Calculator supports weighted average calculation across multiple subjects or items. Each item can have a name, score, and weight percentage. The tool automatically calculates the weighted average and assigns a letter grade (A/B/C/D/F five-level system).

Unlike a simple average, a weighted average accounts for the importance difference of each item — such as a common course grading system where the final exam is 40%, midterm 30%, and regular assignments 30%. This tool is suitable for students estimating semester grades, teachers calculating comprehensive scores, and HR computing performance ratings.

Weighted Average Formula

【Weighted Average】Avg = Σ(Scoreᵢ × Weightᵢ) / Σ Weightᵢ

【Simple Average (Equal Weight)】Avg = (x₁+x₂+...+xₙ) / n
A special case when all weights are equal

【Grade Standards】
A: ≥90 (Excellent)
B: 80-89 (Good)
C: 70-79 (Average)
D: 60-69 (Pass)
F: <60 (Fail)

Note: Standards may vary by institution

Practical Examples

📋
【Example 1】University course overall grade Regular 85 × 30% = 25.5 Midterm 78 × 30% = 23.4 Final 82 × 40% = 32.8 Weighted total = 81.7 → Grade B (Good) 【Example 2】Comparing simple vs weighted average Two courses: Calculus 95 (4 credits), PE 80 (1 credit) Simple average: (95+80)/2 = 87.5 Weighted average: (95×4+80×1)/5 = 92.0 Higher-credit courses have a greater impact on the final grade! 【Example 3】Work performance evaluation KPI completion 90% × 50% Teamwork 85% × 30% Attendance 100% × 20% Weighted performance = 90×0.5 + 85×0.3 + 100×0.2 = 90.5

Important Notes

💡
- Total weight should ideally be 100%, but the tool also supports non-standardized weights (proportional scaling is applied) - Grade assessment uses the common five-level system; refer to your institution's specific standards - You can add any number of items, but at least one is required - At least one row of data must be kept when deleting items - Both scores and weights can be entered as decimals for fine-grained needs

Application Scenarios

  • - Academic evaluation: Multi-course weighted overall grade, GPA auxiliary calculation
  • - Performance review: KPI, OKR multi-dimensional weighted scoring summary
  • - Survey analysis: Weighted satisfaction scores across questionnaire items
  • - Quality inspection: Comprehensive scoring across multiple product quality dimensions
  • - Competition scoring: Weighted average of scores from multiple judges (judges can have different weights)

Weighted vs Simple Average

When to use weighted average? When the importance of each data point differs — such as courses with different credits, assessment items with different weights, or samples of different sizes. Weighted average more accurately reflects the "true average level."

When to use simple average? When all data points are equally important — such as multiple attempts on the same exam, or sampling inspection of products with the same specifications.

A common mistake is to ignore weight differences and take a simple average, which biases results toward low-weight high-value or high-weight low-value directions. The correct approach is to first determine reasonable weights for each item before calculating.

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