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Gaokao Rank Matcher: Reach/Match/Safety Bands

Convert your current-year Gaokao provincial rank to an equivalent rank in last year's pool using the equi-percentile method, with reach/match/safety bands to shortlist universities.

Overview

This tool uses the equi-percentile method: it converts your current-year provincial Gaokao rank into an equivalent rank in last year's candidate pool, then outputs three recommended rank bands (reach / match / safety) you can use to shortlist universities from historical admission data. All math runs locally in your browser. Final admission depends on enrollment quotas, major popularity and bonus policies; results are for filtering reference only.

How to use

  1. Enter your current-year provincial Gaokao rank (visible on your score report or the provincial exam authority's page).
  2. Enter the current-year total number of provincial candidates participating in ranking.
  3. Enter the reference year (usually last year) total candidates count using the same statistical scope.
  4. Optionally tweak the reach / match / safety percentages (default 8% / 15% / 25%); larger numbers widen the bands.
  5. Use the three rank ranges on the right to filter universities in historical admission datasets.

Formula

percentile = currentRank / currentTotal × 100%. equivalentRank = round(percentile × targetTotal). reach = [equiv × (1 − reach%/100), equiv − 1]. match = [equiv × (1 − match%/200), equiv × (1 + match%/200)]. safety = [equiv + 1, equiv × (1 + safety%/100)].

Common scenarios

Rank 50k of 600k → equivalent in last year's 580k pool

Percentile ≈ 8.33%, equivalent rank ≈ 48,333. Reach 44,467-48,332; match 44,710-52,049; safety 52,050-60,416.

Rank 1,000 of 300k (top tier)

Percentile ≈ 0.33%, equivalent rank ≈ 967 (if target year has 290k). Reach 889-966, match 894-1,041, safety 1,042-1,209 — focus on top universities.

Rank 250k of 500k (middle tier)

Percentile 50%, equivalent rank ≈ 240k (target year 480k). The three bands widen, useful for shortlisting many regional comprehensive universities by major popularity.

FAQ

Why use rank instead of raw score?

Exam difficulty and tier cutoffs differ year over year, so the same raw score maps to different relative positions across years. Provincial rank is a relative measure with much higher cross-year comparability — that is why the equi-percentile method is widely used.

Which total candidate count should I use — registered or actual sit-in?

Use the number actually participating in provincial ranking — usually the figure published by the provincial exam authority as 'participating candidates' or covered by the score-distribution table. Registered count overestimates because it includes no-shows. Keep both years consistent (e.g., both 'participating') for comparability.

How were the default reach / match / safety percentages 8 / 15 / 25 chosen?

These are typical heuristics from provincial admission guides: reach 5-10%, match 10-20%, safety 20-30%. Adjust according to your risk preference — for a more conservative plan lower 'reach' to 5% and raise 'safety' to 30%; to aim higher push 'reach' to 10-12%.

Does this tool upload my rank data?

No. The entire calculation runs purely client-side via React useMemo in your browser, sending nothing to our servers or any third party. You can verify by opening the browser DevTools network panel.

Is the rank range enough? What else should I check?

Equi-percentile is just the first cut — a coarse candidate pool. Your final decision also depends on: that year's enrollment quota changes (expansion/contraction shifts admission rank), major popularity (hot majors can rank thousands above the university minimum), medical restrictions, bonus policies, major-priority rules, and whether you accept transfer. Use this tool's rank range as a starting filter, then verify against each university's admission charter.

What if my current-year rank exceeds last year's total?

Mathematically it can still be computed (ratio-based), but practically it's meaningless. If currentRank > currentTotal the tool flags the input as invalid and returns no result. If your percentile is very high (>90%), the equivalent rank may approach or exceed the target-year total — in that case look at vocational/junior college admission data instead.

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