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An LSAT score predictor estimates the scaled 120 to 180 score you are likely to earn, based on your recent practice-test performance and a representative conversion curve. Treat its output as a range, not a guarantee, because each official LSAT is equated separately by LSAC and test-day conditions differ from practice.
By Ali Unar, JD candidate at Georgetown Law and founder of Lovare Institut. Last updated August 2026. Every figure on this page was verified in August 2026 against the sources listed below.
An LSAT score predictor is a tool that projects your likely official score from how you have been performing on recent practice tests. It typically converts your raw scores, the counts of correct answers, into scaled 120 to 180 estimates and reports a range rather than a single certain number. The goal is to give you a realistic expectation for test day, not a promise, since real results always carry some variation.
A predictor averages or trends your recent practice results and applies a conversion curve to place them on the 120 to 180 scale. Better tools weight your most recent, most realistic timed tests more heavily, because those best reflect current ability. The table shows the kind of raw-to-scaled mapping a predictor relies on, with each figure verified against a recent official form.
Scaled scoreApproximate raw score170not published by LSAC as a fixed table (each form is equated separately)160not published by LSAC as a fixed table (each form is equated separately)150not published by LSAC as a fixed table (each form is equated separately)
An LSAT score predictor is most reliable when it is fed several recent, fully timed practice tests taken under realistic conditions. Its estimate still comes with a margin, because LSAC equates each official form separately and factors like test-day nerves, fatigue, and an unfamiliar passage can move your real score. Use the prediction as a planning range, and expect your official result to land somewhere within a few points of it.
To raise a predicted score, target the question types that cost you the most raw points, since each recovered question lifts your scaled estimate. Take full, timed practice tests to keep the prediction grounded in realistic performance. Lovare and other prep providers offer free score tools, and comparing your predicted score against your target schools' ABA 509 medians tells you how much further you need to climb.
A good LSAT score is one that meets or beats the median LSAT at your target schools. Because each ABA-approved school reports its median in its Standard 509 data, a predicted score is best judged against those specific medians rather than a single national bar. 120 to 180. Aim for a prediction at or above each median.
The average scaled LSAT score falls slightly below the center of the 120 to 180 range, since the scale is built so most takers score near the middle. The precise mean shifts a little each testing year. the low-to-mid 150s (LSAC does not publish a single headline average; the median falls near 152 on the percentile tables). A predictor showing a score near the average places you around the middle of the national field.
The LSAT is scored on a 120 to 180 scale. Correct answers earn raw points, wrong answers carry no penalty, and LSAC converts your raw total into a scaled score using that form's curve. Since August 2024 the scored sections are two Logical Reasoning and one Reading Comprehension, plus an unscored variable section, after Logic Games were retired.
An LSAT score predictor is fairly accurate when it draws on several recent, fully timed practice tests, but it still gives a range rather than a fixed number. LSAC equates each official form on its own, and test-day conditions differ from practice, so your real score can land a few points above or below the prediction. Treat it as guidance, not a guarantee.
Verified August 2026.
August 21, 2026
August 21, 2026