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LSAT/GPA Percentile vs. School Medians for Odds

LSAC Credential Assembly Predictor:

\[ Odds = f(LSAT_{percentile}, GPA_{percentile}, School_{medians}) \]

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1. What is the LSAC Credential Assembly Predictor?

The LSAC (Law School Admission Council) Credential Assembly Predictor estimates law school admission odds by comparing your LSAT scores and GPA against school medians. It helps applicants understand their competitive position in the admissions process.

2. How Does the Calculator Work?

The calculator uses a predictive algorithm:

\[ Odds = Base + (LSAT_{difference} \times 2) + (GPA_{difference} \times 10) \]

Where:

Explanation: The algorithm weights both LSAT and GPA performance relative to school medians to estimate admission probability.

3. Importance of LSAT and GPA Percentiles

Details: Law schools heavily weigh LSAT scores (typically 40-60% of decision) and undergraduate GPA. Being above both medians significantly increases admission chances.

4. Using the Calculator

Tips: Enter your actual LSAT score (120-180), current GPA (0-4.0 scale), and the target school's published LSAT and GPA medians. Use official LSAC data for most accurate results.

5. Frequently Asked Questions (FAQ)

Q1: How accurate is this predictor?
A: This provides a general estimate. Actual admissions consider personal statements, recommendations, and other factors beyond numbers.

Q2: What are good LSAT and GPA scores?
A: Top law schools typically have medians around 170+ LSAT and 3.8+ GPA. Check individual school websites for current medians.

Q3: How much does being above median help?
A: Being above both medians significantly improves odds, while being below both makes admission challenging at competitive schools.

Q4: Should I retake the LSAT if below median?
A: If you can realistically improve your score, retaking may be worthwhile, especially if other application components are strong.

Q5: How do soft factors affect admission?
A: Strong personal statements, unique experiences, and compelling recommendations can improve chances beyond what numbers alone predict.

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