Craps: Working Out the House Edge
Deriving the house edge on a pass-line craps bet from scratch, using conditional probability across the come-out roll and the point phase — the standard 'work out this casino game's edge' interview question.
Prerequisites: Expected Maximum of Several Dice
Question. In craps, a "pass line" bet wins if the first roll (the come-out roll) is 7 or 11, loses if it's 2, 3, or 12, and otherwise the rolled number becomes "the point" — the shooter keeps rolling until either the point comes up again (bet wins) or a 7 comes up first (bet loses). What's the house edge on this bet? This is a genuinely multi-stage conditional-probability problem, and it's a favorite because it forces you to combine several probabilities correctly rather than just compute one.
Stage 1: the come-out roll
With two dice, sums have these counts out of 36: 7 has 6 ways, 11 has 2 ways, so . Sums 2, 3, 12 have ways, so . The remaining of rolls establish a point of 4, 5, 6, 8, 9, or 10.
Stage 2: given a point is established, what's the win probability?
If the point is , the shooter keeps rolling until or 7 appears, ignoring all other numbers (they're just re-rolled). Given that only or 7 matters, the win probability is
For point 4 (3 ways) vs. 7 (6 ways): . Point 5 (4 ways): . Point 6 (5 ways): . By symmetry, points 8, 9, 10 mirror 6, 5, 4 respectively.
Worked example: assembling the total win probability
Total win probability sums the come-out win, plus for each point value, the probability of establishing that point times the conditional win probability given that point:
Plugging in each point (4 and 10 each have 3/36 chance to be established, with win prob 1/3; 5 and 9 each 4/36 with win prob 2/5; 6 and 8 each 5/36 with win prob 5/11):
Computing each term: ; ; ; . Summing: , or about .
Since this is an even-money bet, the house edge is
about 1.41% — matching the well-known real-world figure for the craps pass line, one of the best bets on a casino floor precisely because the multi-stage structure keeps the edge small compared to, say, roulette's 5.26%.
Multi-stage betting games are solved by conditioning on the intermediate state (here, "what's the point") and combining stage probabilities with the law of total probability: . The house edge follows immediately once you have the true win probability and the payout odds.
The most common error is forgetting that once a point is established, rolls that are neither the point nor 7 simply don't count — treating this as "P(point before 7) over all 36 outcomes per roll" without conditioning down to just the two relevant outcomes gives the wrong per-roll probability, even though the final win probability formula above handles it correctly by construction.
Related concepts
Practice in interviews
Further reading
- Epstein, The Theory of Gambling and Statistical Logic, ch. 5