Probability and Chance Calculator

This probability calculator finds the chance of an event, converts it to odds and "1 in N", and shows what happens over repeated tries: the chance of at least one success, exactly k successes and the number of tries needed to reach a target.

Checks on your data

  • Repeated trials are assumed independent. Past outcomes do not change the next one: a coin that landed heads five times is still 50/50 (the gambler’s fallacy is believing otherwise).
  • If the chance is only an estimate, small errors in it grow quickly across many trials.

Results

Probability of the event (single trial)
0.16666667
16.6667 %
As “1 in N”
1 in 6
Odds in favour
0.2 to 1
Odds against
5 to 1
Probability it does NOT happen
0.83333333
At least once in 10 trials
0.83849442
83.8494 %
Never in 10 trials
0.16150558
Exactly 2 times in 10 trials
0.29071005
At least 2 times
0.51548325
At most 2 times
0.7752268
Expected number of occurrences
1.66667
Trials needed for a 50% chance of at least one
4
Trials needed for a 95% chance of at least one
17
Chance of each number of occurrences in 10 trials
00.10.20.30: 0.16150600.1621: 0.32301110.3232: 0.2907120.2913: 0.15504530.1554: 0.054265940.05435: 0.013023850.0136: 0.0021706460.002177: 0.00024807370.0002488: 0.000018605480.00001869: 0.00000082690990.00000082710: 1.6538 × 10^-8101.6538 × 10^-8
Chance of at least one occurrence as trials increase
0%50%100%5101520n = 10Number of trials
Show step-by-step solution
  1. Single-trial probability p = 1 ÷ 6 = 0.16666667.
  2. At least once in 10 trials = 1 − (1 − p)ⁿ = 1 − 0.833333^10 = 0.83849442.
  3. Exactly 2 in 10: C(10, 2) × p^2 × (1 − p)^8 = 45 × 0.166667^2 × 0.833333^8 = 0.29071005.
Single eventFavourable ÷ total
At least once in n1 − (1 − p)ⁿ
Exactly k in nBinomial probability
Oddsp : (1 − p)

What Is Probability and Chance?

The probability of an event is a number from 0 to 1 (or 0 % to 100 %) that describes how likely it is. Odds describe the same thing as a ratio, such as 1 to 3, and "1 in N" is a way of saying it in words.

Repeated independent tries change the picture. The chance of at least one success in n tries is 1 − (1 − p)ⁿ, and the chance of exactly k successes comes from the binomial formula. The calculator gives both, the expected number of occurrences and the number of tries needed to reach a chosen chance.

Below you will find the formulas, a variables table, a worked example and answers to common questions such as the difference between probability and odds.

How to Use the Probability and Chance Calculator

  1. Enter the event either as favourable over total outcomes or directly as a probability.
  2. Enter how many times you will try and the number of successes k you want to look at.
  3. Read the single-event chance, odds and 1-in-N, then the repeated-trial results.
  4. Use the “tries needed” rows to plan how many attempts give you a good chance of success.

Probability and Chance Formula

Classical probability

P(E)=favourable outcomestotal outcomesP(E)=\frac{\text{favourable outcomes}}{\text{total outcomes}}

Odds in favour

odds=p1−p\text{odds}=\frac{p}{1-p}

At least once in n independent trials

P(≥1)=1−(1−p)nP(\ge1)=1-(1-p)^n

Exactly k successes in n trials

P(X=k)=(nk)pk(1−p)n−kP(X=k)=\binom{n}{k}p^k(1-p)^{n-k}

Tries needed for a target chance q

n=⌈ln⁡(1−q)ln⁡(1−p)⌉n=\left\lceil\frac{\ln(1-q)}{\ln(1-p)}\right\rceil

Probability and Chance Variables Explained

SymbolMeaningNotes
pProbability of the event in one try0 to 1
nNumber of independent tries
kNumber of successesFor the "exactly k" result
Oddsp ÷ (1 − p)Odds in favour

Probability and Chance Worked Example

Using the example values (press “Load example” above to try them):

  1. Single-trial probability p = 1 ÷ 6 = 0.16666667.
  2. At least once in 10 trials = 1 − (1 − p)ⁿ = 1 − 0.833333^10 = 0.83849442.
  3. Exactly 2 in 10: C(10, 2) × p^2 × (1 − p)^8 = 45 × 0.166667^2 × 0.833333^8 = 0.29071005.

Result: Probability of the event (single trial) = 0.16666667; At least once in 10 trials = 0.83849442; Exactly 2 times in 10 trials = 0.29071005.

Probability versus odds

People mix these up all the time. Probability compares the event to everything that could happen; odds compare it to the alternative. A probability of 1/6 is 1 to 5 odds in favour (one way to win to five ways not to), and 5 to 1 odds against.

Converting between probability and odds
ProbabilityPercentageOdds in favourOdds against
1/250%1 to 11 to 1
1/425%1 to 33 to 1
1/616.67%1 to 55 to 1
1/1010%1 to 99 to 1
1/1001%1 to 9999 to 1

The surprising maths of repeated tries

A 1-in-6 chance does not become certain after six tries. The chance of at least one success in six tries is 1 − (5/6)⁶ ≈ 66.5%. In general, if the chance per try is p, you need about 0.69 ÷ p tries for even odds of at least one success, and about 3 ÷ p for 95%. This is why rare risks accumulate: a 1% daily risk gives about a 63% chance of at least one occurrence over 100 days.

Tries needed for common chances per try
Chance per tryTries for 50% overallTries for 95% overall
50%15
25%311
10%729
5%1459
1%69299
0.1%6932,995

Assumptions

  • Each try is independent of the others.
  • The probability stays the same on every try (no learning, wear or “being due”).
  • Outcomes are either success or failure.
  • The gambler’s fallacy: a past run of failures does not make success more likely next time.

Where Probability and Chance Is Used

Converting probability and odds

Switching between percentages, odds and "1 in N".

Chance over several attempts

Finding how likely at least one success is after n independent tries.

Planning attempts

Finding how many tries give a chosen chance of success.

Classroom problems

Checking answers on classical and repeated-trial probability.

Common Probability and Chance Mistakes to Avoid

  • “At least one” is almost always best solved as 1 minus the chance of none.
  • Check that probabilities of exclusive, exhaustive outcomes add to 1.
  • Use 1-in-N figures with care: 1 in 100 is not the same as “once in 100 tries”.

Probability and Chance Terms and Definitions

Odds
The ratio of the chance an event happens to the chance it does not.
Trial
One attempt or repetition of the experiment.

Probability and Chance FAQs

How do you calculate probability?

Divide the number of favourable outcomes by the total number of equally likely outcomes.

How do I calculate the chance of at least one success in several tries?

Compute 1 − (1 − p)ⁿ, where p is the chance per try and n is the number of tries.

What is the difference between odds and probability?

Probability is favourable over total. Odds are favourable over unfavourable. A probability of 0.2 is odds of 1 to 4.

How many tries do I need for a 50% chance?

About 0.69 divided by the per-try probability. The calculator gives the exact number.

If the chance is 1 in 6, will I succeed in 6 tries?

Not necessarily. The chance of at least one success in six tries is about 66.5%, not 100%.

Can I enter percentages?

Yes, switch to the probability input and enter a decimal, a percentage such as 16.7% or a fraction such as 1/6.

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Last updated 2026-11-09. See our disclaimer.