A standard 52-card deck contains 2,598,960 possible five-card hands. Every one of those hands belongs to exactly one of the ten types below, so the counts add up to that total without overlap.

Rank Hand Five-Card Combinations Probability Frequency (1 in N)
1 Royal Flush 4 0.000154% 1 in 649,740
2 Straight Flush 36 0.001385% 1 in 72,193
3 Four of a Kind 624 0.024010% 1 in 4,165
4 Full House 3,744 0.144058% 1 in 694.2
5 Flush 5,108 0.196540% 1 in 508.8
6 Straight 10,200 0.392465% 1 in 254.8
7 Three of a Kind 54,912 2.112845% 1 in 47.33
8 Two Pair 123,552 4.753902% 1 in 21.04
9 One Pair 1,098,240 42.256903% 1 in 2.37
10 High Card 1,302,540 50.117739% 1 in 2.00

How to read the three number columns

Five-Card Combinations counts how many of the 2,598,960 hands fall into that type. Probability is that same count expressed as a share of the full set. Frequency (1 in N) restates the figure as an average: a Full House appears about once per 694.2 randomly dealt five-card hands. That column is not “odds against” in the betting sense. Reading it as a price will give you the wrong number when you compare it with the chips in front of you. If you need a betting figure, work from the Probability column, or use the pot odds formula with the actual chip count.

The distinction is worth keeping straight because the two uses look similar. A frequency answers “how rare is this hand in the deck”. A pot price answers “how often must I be right for this call to pay”. They are different denominators, and a reference page that blurs them will quietly push decisions in the wrong direction.

Why the bottom two rows matter most

One Pair and High Card account for the large majority of all five-card hands. That is why a player who treats every pair as a strong holding puts chips into too many pots: the ranking says One Pair beats High Card, but the frequency says both are ordinary outcomes. Use the table for calibration. Before committing chips, identify which of the ten rows your hand belongs to, then count how many rows above it could realistically be held by an opponent still in the hand. The wider that group, the more cautious the decision should be.

The same logic works in reverse for the top rows. A hand type that occupies only a few combinations is genuinely hard to make, which is why players rarely need to plan around it. Most of the defensive work in a hand concerns the middle rows, where Flush, Straight, and Three of a Kind are common enough to matter but still beat most holdings.

Random hands versus hands at showdown

These figures describe five cards dealt at random, not the hands that reach showdown in a played pot. Players fold weak holdings before the river, so the distribution at showdown is tilted toward the stronger rows. Using this table to estimate what an opponent holds at showdown will understate their strength. Use it for what it actually measures: how rare a hand type is in the deck itself, and how much of the deck a given type occupies.

That difference also explains why a draw can feel more likely than its probability suggests. You are not sampling from all five-card hands at that point; you are sampling from the cards that remain unseen, after several specific cards are already known. Those are separate calculations, and the poker odds chart keeps the street-by-street version apart from this five-card baseline.

Using frequency with a draw

When you count outs on the flop, the question is narrower than this table answers: how many of the remaining cards complete one specific type. Convert each out against the unseen cards, then compare that share with the chips you must put into the pot. Keep the two numbers in their own columns. The baseline here tells you how unusual the finished hand would be; the street calculation tells you whether the price is right.