Probability
Card Target Count Distribution Calculator
Build the exact probability distribution for zero through the displayed maximum target cards in a hand.
Decision view
Hypergeometric target-count summary
| Target cards in deck | Total possible hands | Probability of zero targets | Probability every drawn card is target | Expected target count per hand | Expected total target cards across hands | Displayed distribution rows |
|---|
Period-by-period detail
Exact target-card count probability distribution
How to use Card Target Count Distribution Calculator
- Enter deck, target, and draw counts.
- Choose the maximum displayed target count.
- Inspect the probability histogram and exact table.
Calculator guide
Understanding Card Target Count Distribution Calculator
A complete target-card distribution assigns an exact hypergeometric probability to every feasible target count.
Calculation method
How the calculation works
Detailed calculation process
Build the complete target-count distribution
The default draws 5 cards from a 52-card deck containing 13 targets and displays counts 0 through 5 across 200 planned hands.
What each symbol means
Worked substitution with the default inputs
The default distribution peaks at one target card with 41.1420%, and the expected target count is 1.25 per hand.
Purpose-built visual
Hypergeometric probability histogram
Discrete bars expose the full shape, mode, tails, and expected target count.
Worked situations
Practical examples
- The default draws 5 cards from a 52-card deck containing 13 targets and displays counts 0 through 5 across 200 planned hands.
- The default distribution peaks at one target card with 41.1420%, and the expected target count is 1.25 per hand.
Better inputs
Useful tips
- Change one input at a time and confirm that both the results and visual update.
- Keep every input in the unit printed beside it.
- Retain intermediate precision and round only the reported result.
Before relying on the result
Limitations and common mistakes
- The model assumes sampling without replacement.
- Displayed rows must include every feasible count to reconcile to 100%.
- Expected counts do not predict a particular hand.
Reference
Key terms
- Hypergeometric
- A without-replacement count distribution.
- Probability mass
- Probability assigned to one discrete outcome.
- Expected value
- The long-run average target count.
Important note
Calculated directly from the entered values using the displayed formula and rounding settings.
Frequently asked questions
Why are the bars discrete?
A hand can contain only whole target-card counts.
Should all bars sum to 100%?
Yes, when every feasible count is displayed.
Why is one target most likely?
It reflects the entered deck share and draw size.
Is the mean always a possible outcome?
No; an expected value can be fractional.