Coin Flip Simulator | Flip a Virtual Coin and Track Results
Last updated: June 2026 · Free · No sign-up required
Quick reference
| Flips | P(all heads) |
|---|---|
| 1 | 1 in 2 (50%) |
| 2 | 1 in 4 (25%) |
| 3 | 1 in 8 (12.5%) |
| 5 | 1 in 32 (3.1%) |
| 10 | 1 in 1,024 (0.1%) |
info Coin Flip Simulator
Free generators calculator — enter your numbers and get an instant, accurate result.
info Private by design
Everything runs locally in your browser. No uploads, no accounts, no tracking.
info Works everywhere
Fully responsive and mobile-friendly — calculate on any device, any time.
info Educational
Includes the formula and step-by-step explanation so you understand the math, not just the answer.
Interpretation guide
| Concept | Note |
|---|---|
| Each flip | Independent — 50/50 regardless of history |
| Gambler's fallacy | Past flips do NOT change the next |
| k heads in n | P = C(n,k) / 2^n |
| Law of large numbers | Ratio approaches 50% over many flips |
lightbulb Worked example
Result: The calculator instantly applies the formula P(exactly k heads in n flips) = C(n, k) / 2^n; P(a specific sequence) = (1/2)^n and returns the result with appropriate precision.
What this means: Read the result in the context of what you are measuring. The step-by-step breakdown lets you confirm the math and understand which input most affects the outcome.
Formula & methodology
Formula: P(exactly k heads in n flips) = C(n, k) / 2^n; P(a specific sequence) = (1/2)^n
How coin flip probabilities work
The tool applies the binomial model: P(exactly k heads in n flips) = C(n, k) ÷ 2ⁿ, where C(n, k) counts the ways to choose k heads, and each specific sequence has probability (1/2)ⁿ. Every flip is an independent 50/50 event, so the outcome of one toss never influences the next.
Example: exactly 3 heads in 5 flips has probability C(5,3) ÷ 32 = 10 ÷ 32 ≈ 31.25%.
Reading the result: streaks of heads are perfectly normal — five heads in a row has a 1-in-32 chance — and the simulator's long-run distribution converges to the expected 50/50 as the flip count grows. It is useful for probability lessons, decision-making, and understanding why short runs feel 'unfair' but the average always reverts.
Frequently asked questions
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