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H1b Lottery Probability Calculator

Calculate your probability of being selected in the H1B visa lottery from application count. Enter values for instant results with step-by-step formulas.

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Visa & Immigration

H1b Lottery Probability Calculator

Calculate your probability of being selected in the H1B visa lottery. Estimate selection odds based on number of registrations, total applicants, and annual cap.

Last updated: December 2025Reviewed by NovaCalculator Legal Editorial Team

Calculator

Adjust values & calculate
1

Number of separate employer registrations submitted for you. Note: beneficiary-centric selection (FY2024+) means multiple registrations may not increase odds.

Standard cap is 85,000 (65,000 regular + 20,000 US master's exemption)

Your Selection Probability
17.7%
with 1 registration
Low probability — consider backup immigration strategies

Key Statistics

Selection Rate (per registration)17.7%
Expected Selections0.18
Odds Ratio1 in 6

Historical Comparison

FY2025(480K registrations)
17.7%base
FY2024(759K registrations)
11.2%base
FY2023(484K registrations)
17.6%base
FY2022(309K registrations)
27.6%base
FY2021(274K registrations)
31%base
FY2020(201K registrations)
42.3%base
Disclaimer: Immigration rules change frequently. This calculator provides probability estimates based on mathematical models and historical data. Actual selection is random and no prediction can guarantee results. Since FY2024, USCIS uses beneficiary-centric selection. Consult a licensed immigration attorney for guidance.
Your Result
Selection Probability: 17.7% | Low probability — consider backup immigration strategies
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Understand the Math

Formula

P(selected) = 1 - (1 - Cap/Total)^registrations

The probability of at least one selection equals 1 minus the probability of none being selected. For a single registration, the probability is simply Cap/Total. Note: since FY2024, USCIS uses beneficiary-centric selection, so multiple registrations for the same person do not increase odds.

Last reviewed: December 2025

Worked Examples

Example 1: Single Registration

Calculate selection probability for one registration with 480,000 total registrations and 85,000 cap.
Solution:
Selection rate = 85,000 / 480,000 = 17.7% Probability with 1 registration = 17.7%
Result: 17.7% probability of selection

Example 2: Historical Comparison (FY2024)

In FY2024, approximately 759,000 registrations were submitted for 85,000 spots.
Solution:
Selection rate = 85,000 / 759,000 = 11.2% This was one of the lowest selection rates in H1B lottery history.
Result: 11.2% per registration — extremely competitive year
Expert Insights

Background & Theory

The H1b Lottery Probability Calculator applies the following established principles and formulas. Probability theory provides the mathematical foundation for analysing all games of chance. The fundamental measure assigns a probability between 0 and 1 to each outcome by dividing the count of favourable outcomes by the count of equally likely total outcomes. Rolling a standard six-sided die produces a 1/6 probability for each face; the probability that a fair coin lands heads exactly three times in five tosses follows the binomial distribution with parameters n=5 and p=0.5. Expected value (EV) is the probability-weighted average outcome of a random variable: EV equals the sum of each outcome multiplied by its probability. A fair coin flip paying $1 for heads and costing $1 for tails has EV of zero. Casino games are designed with negative expected value for the player; the house edge is the casino's average percentage profit per bet. European roulette with a single zero has a house edge of 2.7 percent, while American roulette's double zero raises it to 5.26 percent. Poker hand probabilities derive from combinatorics. From a 52-card deck, the number of distinct 5-card hands is C(52,5) = 2,598,960. A royal flush can occur in only 4 ways, giving it a probability of approximately 0.000154 percent. Blackjack basic strategy tables, derived from computer simulation of millions of hands, reduce the house edge from roughly 2 percent to below 0.5 percent by specifying the optimal hit, stand, double, or split decision for every player hand against every dealer up-card. Sports betting implied probability converts decimal odds to a probability estimate: implied probability equals 1 divided by decimal odds. Odds of 2.5 imply a 40 percent probability. The Kelly Criterion provides the theoretically optimal bet fraction: f equals (bp minus q) divided by b, where b is the net odds received, p is the probability of winning, and q is the probability of losing. This formula maximises the long-run geometric growth rate of a bankroll.

History

The history behind the H1b Lottery Probability Calculator traces back through the following developments. Physical evidence of dice play dates to around 2500 BCE at the Indus Valley city of Mohenjo-daro, where excavators found carved cubic astragali remarkably similar to modern dice. Ancient Egyptian, Greek, and Roman cultures all incorporated dice games into both leisure and religious ritual, suggesting gambling emerged independently across early civilisations as a universal human impulse. The first systematic attempt to mathematically analyse games of chance came from Gerolamo Cardano, the Italian polymath who wrote "Liber de Ludo Aleae" (Book on Games of Chance) around 1564. Cardano derived correct probabilities for dice combinations and introduced the concept of sample space, though his work remained unpublished until 1663. The field transformed into a rigorous discipline through correspondence in 1654 between Blaise Pascal and Pierre de Fermat prompted by a gambling problem posed by the Chevalier de Mere. Their exchange established the rules of probability, including the concept of expected value. Jacob Bernoulli's "Ars Conjectandi" (1713) formalised the law of large numbers, proving that sample frequencies converge to true probabilities as trials increase. The 20th century brought two pivotal developments. Stanislaw Ulam and John von Neumann devised Monte Carlo simulation methods in 1947 while working at Los Alamos, showing that complex probabilistic systems could be analysed by random sampling. Game theory and poker strategy developed in parallel, with John von Neumann's minimax theorem providing early foundations and later work by game theorists formalisingrational play under incomplete information. Online gambling launched in the mid-1990s following the passage of the Free Trade and Processing Act in Antigua in 1994, which issued the first online casino licences. The Unlawful Internet Gambling Enforcement Act of 2006 disrupted US online gambling markets. Esports betting and video game loot box mechanics brought probability and expected value calculations to younger audiences in the 2010s, prompting regulatory scrutiny of randomised virtual reward systems across multiple jurisdictions.

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Explore More

Frequently Asked Questions

The H1B lottery is conducted when USCIS receives more electronic registrations than the annual cap of 85,000 visas (65,000 regular cap + 20,000 for US master's degree holders). Each fiscal year, employers submit registrations during a designated period (typically March). USCIS then conducts a random selection. Selected registrants can then file their H1B petitions. Since FY2024, USCIS selects by unique beneficiary rather than by registration to prevent multiple registrations from inflating odds.
If not selected, alternatives include: (1) Try again the following year. (2) Consider O1 visa for individuals with extraordinary ability. (3) L1 visa if your employer has foreign offices. (4) Pursue a master's degree for the 20,000 advanced degree exemption pool. (5) Apply for employment through cap-exempt employers. (6) Consider EB-based green card directly if eligible. (7) Explore immigration to other countries (Canada Express Entry, etc.).
Probability is expressed as a number between 0 and 1 (or a percentage), representing the likelihood of an event. Odds compare favorable outcomes to unfavorable ones — odds of 3:1 means 3 wins for every 1 loss, which is a probability of 3/(3+1) = 75%. Casinos often express odds differently from true probability to build in their house edge.
A fair six-sided die has 1/6 ≈ 16.67% probability for each face. Rolling at least one specific number in two rolls = 1 − (5/6)² ≈ 30.6%. Rolling two specific numbers on two dice = 1/36 ≈ 2.78%. These calculations multiply individual probabilities for independent events.
A fair game is one where the expected value for all players is zero — no participant has a mathematical advantage. In practice, most casino games are unfair (negative EV for players) due to the house edge. Flipping a coin for even money is a fair game; flipping for $0.90 per win and $1 per loss is unfair.
The birthday problem asks: how many people are needed for a 50% chance two share a birthday? The answer is just 23 people — surprising because there are 365 days. The probability no two people share a birthday with n people = (365/365)(364/365)(363/365)...(365−n+1)/365. With 23 people this equals ≈50.7%, meaning a shared birthday is more likely than not.
Educational Note: This calculator is provided for educational and informational purposes. Results are based on the formulas and inputs provided. Always verify important calculations independently. NovaCalculator processes calculator inputs client-side; optional analytics follow visitor consent settings.Reviewed by: NovaCalculator Legal Editorial TeamReviewed against publicly available legal references. Last reviewed: December 2025. © 2024–2026 NovaCalculator.

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Formula

P(selected) = 1 - (1 - Cap/Total)^registrations

The probability of at least one selection equals 1 minus the probability of none being selected. For a single registration, the probability is simply Cap/Total. Note: since FY2024, USCIS uses beneficiary-centric selection, so multiple registrations for the same person do not increase odds.

Worked Examples

Example 1: Single Registration

Problem: Calculate selection probability for one registration with 480,000 total registrations and 85,000 cap.

Solution: Selection rate = 85,000 / 480,000 = 17.7%\nProbability with 1 registration = 17.7%

Result: 17.7% probability of selection

Example 2: Historical Comparison (FY2024)

Problem: In FY2024, approximately 759,000 registrations were submitted for 85,000 spots.

Solution: Selection rate = 85,000 / 759,000 = 11.2%\nThis was one of the lowest selection rates in H1B lottery history.

Result: 11.2% per registration — extremely competitive year

Frequently Asked Questions

How does the H1B lottery work?

The H1B lottery is conducted when USCIS receives more electronic registrations than the annual cap of 85,000 visas (65,000 regular cap + 20,000 for US master's degree holders). Each fiscal year, employers submit registrations during a designated period (typically March). USCIS then conducts a random selection. Selected registrants can then file their H1B petitions. Since FY2024, USCIS selects by unique beneficiary rather than by registration to prevent multiple registrations from inflating odds.

What happens if I'm not selected in the H1B lottery?

If not selected, alternatives include: (1) Try again the following year. (2) Consider O1 visa for individuals with extraordinary ability. (3) L1 visa if your employer has foreign offices. (4) Pursue a master's degree for the 20,000 advanced degree exemption pool. (5) Apply for employment through cap-exempt employers. (6) Consider EB-based green card directly if eligible. (7) Explore immigration to other countries (Canada Express Entry, etc.).

What is the difference between odds and probability?

Probability is expressed as a number between 0 and 1 (or a percentage), representing the likelihood of an event. Odds compare favorable outcomes to unfavorable ones — odds of 3:1 means 3 wins for every 1 loss, which is a probability of 3/(3+1) = 75%. Casinos often express odds differently from true probability to build in their house edge.

What is the probability of rolling a specific number on a standard die?

A fair six-sided die has 1/6 ≈ 16.67% probability for each face. Rolling at least one specific number in two rolls = 1 − (5/6)² ≈ 30.6%. Rolling two specific numbers on two dice = 1/36 ≈ 2.78%. These calculations multiply individual probabilities for independent events.

What is a fair game in probability theory?

A fair game is one where the expected value for all players is zero — no participant has a mathematical advantage. In practice, most casino games are unfair (negative EV for players) due to the house edge. Flipping a coin for even money is a fair game; flipping for $0.90 per win and $1 per loss is unfair.

What is the birthday problem in probability?

The birthday problem asks: how many people are needed for a 50% chance two share a birthday? The answer is just 23 people — surprising because there are 365 days. The probability no two people share a birthday with n people = (365/365)(364/365)(363/365)...(365−n+1)/365. With 23 people this equals ≈50.7%, meaning a shared birthday is more likely than not.

References

Reviewed by Abdullah, Technical Content Specialist · Editorial policy