Every CLAT cutoff NLU table you have seen online has the same defect: it presents a single number per college per category, as though a closing rank were a threshold announced in advance. It is not. It is a record of where one round of one year's counselling happened to stop. Read that way, cutoff data is genuinely useful. Read as a threshold, it produces preference lists that fail.
This guide explains how NLU counselling actually works, how category and domicile quotas move closing ranks, and how to convert a predicted rank into a realistic list of institutions. The verified numbers themselves, round by round, are in our CLAT cutoff tables. This page is about how to read them.
The one thing to take away: A closing rank tells you where one round stopped in one year — so treat it as the centre of a band, not a line you must clear.
Where the numbers are
Closing-rank data circulates online in a badly degraded form. Tables mix Round 1 and final-round figures without labelling them. Category columns get transposed. Domicile-quota closing ranks are presented as all-India figures. Figures from different years sit side by side under one heading. A student building a preference list from that data is optimising against noise, and a preference order that forfeits a seat cannot be undone.
So use data that carries its round, its category and its source:
- **CLAT cutoff: closing ranks by NLU, category and round** — read from the Consortium's allotment lists, with the round stated on every row. For NLSIU General all-India, for example, the closing rank moved from 101 in round 1 to 120 in round 5. That band is what this guide teaches you to use.
- **NLU cutoff 2026** — the most recent completed cycle, institution by institution.
- **CLAT college predictor** — enter a rank and see which NLUs that rank reached in past allotments, for your category.
How NLU counselling actually works
Understanding the mechanism is what lets you read the numbers correctly, so start here.
The rank list
CLAT produces an all-India merit rank. That single rank feeds every subsequent process, but it is not the only thing that determines your allotment. Your category, your domicile status, and — crucially — your preference order all shape the outcome.
Preference filling
Before allotment, you submit an ordered list of institutions and programmes. This is the part of the process candidates take least seriously and should take most seriously, because the allotment algorithm treats your list as a genuine statement of preference.
Allotment rounds
Counselling runs in successive rounds. In each round, seats are allotted against the current rank list and the current preference lists. Then candidates respond — accepting, declining, or holding a seat while waiting for an upgrade.
Between rounds, seats move. A candidate allotted their fourth preference in Round 1, who is upgraded to their second preference in Round 2, releases the Round 1 seat back into the pool. That seat is then offered further down the rank list.
This is why closing ranks move outward with every round. A Round 1 closing rank and a final-round closing rank for the same institution and category are different numbers describing different moments, and comparing them as though they were the same quantity is the most common error in cutoff analysis.
The practical consequence: do not treat a Round 1 closing rank as your target. If your rank sits beyond Round 1's closing figure but within the range that later rounds have historically reached, you are a live candidate — provided you stay in the process. Candidates who exit after Round 1 forfeit seats that would have reached them.
Withdrawal and upgrade
Every NLU's counselling permits some form of withdrawal, and most permit holding a seat while remaining eligible for upgrade. The rules differ, the deadlines differ, and the financial consequences of withdrawing at different stages differ. Read the current counselling brochure on consortiumofnlus.ac.in rather than assuming last year's rules carry over. This is one of the few places in the admissions process where a procedural mistake costs a seat outright.
How category and domicile shift the picture
Two mechanisms operate, and they compose.
Category reservation
Reserved categories have their own rank lists and their own closing ranks. A candidate in a reserved category is not competing against the all-India general pool for those seats; they are competing against the much smaller pool of candidates in the same category.
The effect on closing ranks is large. Category closing ranks sit substantially further out than general closing ranks, and the gap widens as you move down the institutional ranking. What this means in practice is that a category candidate's realistic list is materially different from a general candidate's list at the same all-India rank — and building a preference list from general-category tables systematically understates your options.
What you need: the category-wise closing ranks for the categories you are eligible under, from the same round and the same year, for each institution on your shortlist. Not a general table with a note appended.
Domicile and State quotas
Many NLUs reserve a proportion of seats for candidates domiciled in the home State. This is not a uniform national rule — the proportion, the eligibility conditions, and the documentation required all vary by institution and are set by the relevant State.
The effect is often larger than candidates expect, because it operates on a small pool. An institution's home-State closing rank can sit far outside its all-India closing rank simply because far fewer candidates compete for those seats.
Two consequences follow.
One: check your domicile eligibility for every NLU on your list, not just the obvious one. Domicile rules turn on residence, schooling, or both, and the conditions differ between States. A candidate may qualify at an institution they never considered.
Two: get the documentation right early. Domicile certificates are issued by State authorities on State timelines, and counselling deadlines do not accommodate a certificate that is still in process. This is an October task, not a January one.
The composition effect
A candidate eligible under both a reserved category and a home-State domicile quota may be competing in a very small pool indeed. This is where the gap between a naive reading of a general all-India table and the actual position is widest — and where candidates most often aim far below what is available to them.
Reading a rank band rather than a rank
Here is the method that replaces optimising against a single number.
Step 1 — Establish your expected rank as a range. Not a number. Take your last four full-length mocks, take the score range, and convert. Our full-length mocks report a projected rank alongside the score for exactly this purpose. A single mock produces a single number and false confidence; four produce a range, which is the honest object.
Step 2 — Sort institutions into three tiers relative to that range.
- Reach — institutions whose recent closing ranks in your category sit meaningfully inside your best plausible rank.
- Target — institutions whose closing ranks sit within your range.
- Secure — institutions whose closing ranks sit comfortably outside your worst plausible rank.
Step 3 — Populate the preference list in true preference order, top to bottom, across all three tiers. Not in order of likelihood. The allotment process handles likelihood; your job is to state preference accurately. A list that omits reach institutions because they feel unlikely forfeits the upside for nothing, since listing them costs you no chance at anything below.
Step 4 — Do not truncate the list. The most expensive preference-list error is a short list. If every institution on your list closes above your rank, you receive no allotment — even where seats existed at institutions you would have accepted but did not list.
Step 5 — Decide your non-negotiables before results. Location, fees, specialisation strength, whether you would accept a five-year programme at an institution you have never visited. Deciding these in the middle of a counselling round, against a deadline, is how candidates make choices they regret. Our guide to choosing between NLUs works through the trade-offs that actually matter over five years.
What a closing rank does not tell you
Four things worth holding in mind before you weight this data too heavily.
It does not tell you about next year. Closing ranks move with the number of registrations, the difficulty of the paper, changes in seat numbers, and shifts in candidate preferences. A ten-year-old institution's closing rank is far more volatile than an established one's.
It does not tell you about the seat you would actually get. Closing ranks are usually reported per institution, but allotment is per programme. An institution running more than one programme has more than one closing rank, and the difference between them can be substantial.
It does not tell you about quality. The correlation between closing rank and educational outcome is real but much weaker than candidates assume. Closing rank measures demand, and demand is driven substantially by reputation, which lags reality in both directions.
It does not tell you about fit. Two institutions with adjacent closing ranks can differ enormously in location, size, teaching culture, and specialisation. Ranks are one input into a five-year decision, not the decision.
Checking against official sources
Before you finalise a preference list, confirm three things directly on the Consortium's counselling portal at consortiumofnlus.ac.in and each NLU's own admissions pages:
- The current seat matrix, including category and State-quota seats per programme. Seat numbers change between cycles, and a change in seats moves closing ranks.
- Domicile eligibility rules for each NLU with a State quota. These are set by the State, not the Consortium.
- Current fees, per institution and per year, including hostel and one-time charges. Fees change every year and are often misreported.
For NLU Delhi, which admits through AILET rather than CLAT counselling, the equivalent data sits with nationallawuniversitydelhi.in. If AILET is part of your plan, how to use the week between CLAT and AILET covers that paper.
Treat every aggregated table you encounter as unverified until you can identify its round and its year.
Before you think about cutoffs at all
One closing observation, because the timing of this question matters.
Cutoff research is absorbing, it feels productive, and before November it is mostly a distraction. Your rank is not yet determined; it is being determined, every week, by what you do with the 120-day plan from 8 August to 6 December. Every hour spent modelling counselling scenarios now is an hour not spent moving the rank those scenarios depend on.
Do the research properly in November, when your mock scores have stabilised and the range is real. Until then, the useful version of this question is much simpler: what is my score now, and what is the fastest thing that raises it?
If you do not have a current, honest number, take a free CLAT mock test and start there.
Frequently asked questions
What is a CLAT cutoff for an NLU? The closing rank in a given category for a given NLU in a given round of counselling — the rank of the last candidate allotted a seat under those exact conditions. It is a record of what happened, not a threshold announced in advance, which is why it moves between rounds and between years.
Why do CLAT closing ranks change between counselling rounds? Because candidates holding seats withdraw or upgrade. When a candidate allotted a seat at one NLU is upgraded to a preferred one, their original seat returns to the pool and is offered further down the rank list. Closing ranks therefore move outward with each successive round.
Do reserved category and domicile quotas change which NLUs I can target? Substantially. Category seats have their own rank lists and their own closing ranks, and many NLUs additionally reserve a share of seats for candidates domiciled in the home State. A candidate eligible under both a category and a domicile quota is competing in a much smaller pool than the all-India general pool.
How far below last year's closing rank should I aim? Treat any published closing rank as the centre of a band rather than a line. Build a preference list with several institutions above your expected rank, several around it, and several below it, rather than optimising against a single number that will have moved by the time you use it.
Where can I find official CLAT cutoff data? The Consortium of NLUs publishes counselling information and allotment data at consortiumofnlus.ac.in, and individual NLUs publish admission data on their own sites. Use these rather than aggregated tables, which frequently mix rounds, categories and years without saying so.