H-1B Visa Lottery Odds Calculator
Estimate your probability of selection under a simplified H-1B lottery model, then use the result as a planning tool rather than a promise.
Introduction
The H-1B visa is one of the best-known U.S. work visa categories for specialty occupations, but it is also one of the hardest to plan around because selection is often driven by a cap and a random draw rather than by timing or resume strength alone. In a year when registrations exceed the number of available slots, even a highly qualified applicant can miss out simply because demand is larger than supply. That basic mismatch is why people talk about “lottery odds” instead of ordinary application approval rates.
This calculator is designed to answer a narrow but useful question: if you make a reasonable estimate of the total number of registrations and choose the degree category that best describes you, what does a simplified probability model say about your chance of selection? The output is meant to help with planning. It can help a student think about backup employment options, help an employer compare scenarios, or help a worker understand why a single H-1B filing should rarely be the only immigration strategy in motion.
Just as important, this page explains the assumptions behind the estimate. Public discussion of H-1B odds often mixes together cap rules, advanced degree treatment, policy changes, duplicate registrations, and supplemental rounds. A calculator is only useful if you understand what it is counting and what it is leaving out. The sections below walk through the inputs, the simplified formula, a worked example, and the main limitations so you can interpret the result responsibly.
How to use
Start with the form immediately below this explanation. First choose the degree category. Use the bachelor’s option if you do not qualify for a U.S. advanced degree exemption. Use the master’s option only if the advanced degree assumption fits your situation. Next choose a fiscal year. In the current version of this page, the listed years share the same cap values, but the field is still helpful for keeping scenarios organized as policy and historical comparisons evolve.
Then enter an estimate for the total number of registrations or applications expected for the year. This number matters because the cap is fixed while demand moves around. If registrations rise and the cap stays the same, your percentage chance typically falls. If registrations fall, your percentage chance rises. After you click the calculation button, the tool shows the pool it assigned you to, the available positions in that pool, an estimated number of competing applications in that pool, first-round and supplemental rates, a combined probability, simple “1 in X” odds, and the expected number selected out of 100 similar cases.
Those outputs are easier to read when you think of them in plain language. A result of 20% does not mean you are likely to win; it means that in a large group of similar registrations, about 20 out of 100 would be selected under the model. Likewise, a result of “1 in 5” odds is another way of writing roughly the same probability. The result is not legal advice, not a USCIS statement, and not a prediction of petition approval after selection. It is simply an estimate of selection pressure.
Formula
The page uses a simplified two-stage probability model. It first estimates how many total registrations belong in your degree pool, then calculates an initial selection rate and a supplemental selection rate. For readability, the calculator assumes that roughly 65% of all registrations belong to the general allocation pool and 35% belong to the advanced degree pool. That split is an assumption used for scenario analysis, not an official USCIS ratio. Because of that assumption, the tool is best used to compare “what if” cases rather than to claim a precise real-world percentage.
First lottery selection rate:
Combined probability, accounting for a supplemental draw among applications not selected in the first stage:
In ordinary language, the first formula says, “Take 85% of the cap and divide it by the estimated number of cases competing in your pool.” The second formula says, “Add the first-round chance to the chance of missing the first round and then getting picked in the supplemental round.” The calculator also guards against edge cases. If your estimated pool is smaller than the cap itself, the result is capped at 100% instead of showing impossible odds above 100%.
That said, the real H-1B process is more complicated than any compact public model. Advanced degree cases may interact with regular cap mechanics differently than this estimate suggests, and policy details can change over time. The value of this page is that it makes its assumptions visible. If you change the total registration estimate or switch the degree category, you can immediately see how a more crowded or less crowded pool changes the percentage.
Example
Suppose you choose the advanced degree option and enter 206,000 as the estimated total number of registrations for the year. Under this calculator’s assumptions, 35% of those registrations fall into the advanced degree pool. That produces an estimated pool of 72,100 competing cases. The advanced degree cap in the tool is 20,000 positions. The first stage allocates 85% of that, or 17,000 positions, which gives a first-round selection rate of about 23.58%.
That leaves 55,100 estimated unselected cases in the pool and 3,000 positions for the supplemental stage. The supplemental rate is therefore about 5.44% within the remaining pool. When the tool combines those stages, it produces an overall selection probability of about 27.74%, which is a little better than 1 in 3.6. Another way to say the same thing is that out of 100 similar applications in that scenario, about 27.7 would be selected under the model.
This example is useful not because it predicts a real fiscal year with precision, but because it shows the moving parts clearly. If you keep everything the same and raise the total registrations, the probability falls. If you lower total registrations, the probability rises. If you switch the degree category, you move into a different cap size and a different assumed share of the pool. That is exactly the kind of sensitivity analysis scenario planning needs.
Historical context and interpretation
Competition for H-1B numbers has been intense for years. Even when annual demand changes from one filing cycle to the next, the central reality remains the same: a fixed cap has to absorb a very large number of hopeful workers and sponsoring employers. That is why selection odds can feel more like a capacity problem than a traditional merit ranking. An applicant can have a strong offer, a respected degree, and a willing employer and still face substantial uncertainty if the registration pool is crowded.
| Fiscal Year | Total Applications | General Cap Selection Rate | Advanced Degree Selection Rate | Overall Cap Filled? |
|---|---|---|---|---|
| 2020 | 274,237 | approximately 6.2% | approximately 15.3% | Yes |
| 2021 | 190,098 | approximately 16.5% | approximately 34.1% | Yes |
| 2022 | 198,081 | approximately 15.9% | approximately 32.4% | Yes |
| 2023 | 206,112 | approximately 15.2% | approximately 31.6% | Yes |
| 2024 | approximately 206,000 (est.) | approximately 15.8% | approximately 32.7% | Yes |
The table above is a reminder that the program has remained oversubscribed, but it should not be read as a direct output of this calculator. Historical figures depend on the rules and filing patterns of their own years. The tool on this page is simpler: it lets you vary only a few inputs so you can understand direction and scale. In practical terms, the result is often most valuable when it triggers good planning questions. If the scenario says your odds are modest, what is your employer’s backup plan? If you are a student, how much time do you have under OPT or STEM OPT? If your organization operates across borders, could an L-1 or another pathway become relevant if the H-1B route does not land this cycle?
That planning mindset matters because the lottery result is only one part of a broader immigration strategy. Selection can open the next step, but non-selection does not mean the conversation ends. The right response is often to compare timelines, preserve alternatives, and make decisions early enough that one missed filing season does not create an avoidable twelve-month delay.
Limitations and assumptions
No H-1B odds calculator can fully replicate the actual government process without current internal data, final registration counts, and exact procedural rules for a given year. This page is especially important to read carefully because the calculator intentionally uses a simplified model so the math stays understandable. That simplicity makes the tool useful for education and scenario testing, but it also means the estimate can differ meaningfully from real outcomes.
- Pool split assumption: The calculator estimates that 65% of total registrations fall into the general pool and 35% into the advanced degree pool. Real distributions can differ.
- Simplified draw mechanics: The model uses a two-stage pool framework. Actual advanced degree treatment and cap selection rules may not match this exact sequence.
- Registration quality is not modeled: The tool assumes all registrations are equally valid and does not account for denials, rejections, or withdrawals after selection.
- Duplicate and fraud controls can matter: If policy changes reduce improper or duplicate registrations, real-world odds can improve even when the headline total looks similar.
- Employer behavior matters: Whether an employer files, when it files, and whether it sponsors alternative visa strategies are outside the calculator.
- Policy can change: Congress, USCIS, or court decisions can alter the cap, the registration system, or the practical competitive landscape.
So how should you use the result? Treat it as a disciplined estimate. It is appropriate for comparing scenarios, budgeting for uncertainty, and having better conversations with employers or counsel. It is not appropriate for promising an outcome, discouraging a strong candidate from applying, or replacing legal advice. If you use the percentage in that practical way, the calculator becomes much more valuable than a simple “win or lose” guess.
H-1B Lottery Selection Odds
This estimate uses the simplified assumptions explained above. It is best for comparing scenarios and understanding how registration volume changes competitive pressure.
Optional mini-game: Duplicate Audit
Want a faster, more visual feel for why registration volume matters? This optional mini-game turns the core idea behind the calculator into a quick arcade challenge. Your mission is to spot and remove duplicate-looking registration pairs before they reach the lottery drum. Every audited pair shrinks the simulated pool and nudges the modeled odds meter upward. It does not change your calculator result, but it does make the supply-versus-demand problem feel immediate.
Quick takeaway: with the cap fixed, a larger registration pool pushes selection odds down. The game dramatizes that pressure by making duplicate traffic feel costly in real time.
