Expected Value Calculations for Common Table Game Bets

Expected Value Calculations for Common Table Game Bets

Greg Palmer
Share

Overview

Jack had been off the floor for four years when he decided to write it all down. Forty-three years under the lights, watching people push money across felt, watching the house swallow or disgorge based on the mathematics underneath.

He remembered a woman from Sacramento. She played baccarat every Thursday, had for twelve years. Bet banker 98 percent of the time. The banker bet has a house edge of 1.06 percent. But this woman played long sessions. Four hours, sometimes five. At 60 hands per hour, 240 hands. At an average bet of 200 dollars, that's 48,000 in action. One percent of 48,000 is 480 dollars. Sometimes she lost 200. Sometimes 800. Once she hit a winning streak and walked away up 1,200. But over twelve years, the math did its work. Jack estimated she'd left about 80,000 dollars at the baccarat tables, Thursday after Thursday, same bet, same time.

The expected value calculation is straightforward in theory. For a banker bet at 1.06 percent house edge: EV equals negative 1.06 percent of your average bet. If you bet 100 dollars, you expect to lose 1.06 dollars per hand over time. But EV is not a promise. It is a statistical destination. You might win. The variance is real.

A hand of blackjack where the player makes a perfect decision has an expected value of negative 0.5 percent for the player. Play one hand for 100 dollars. Your EV is negative 50 cents. Play 100 hands for 100 each. Your EV is negative 50 dollars. But the 100-hand reality might be negative 200 or positive 100. The math does not guarantee the outcome.

Jack's lesson was this: EV explains the long-term tilt. It explains why the house never loses at craps, even though individual players win 40 percent of the time. The pass line has a house edge of 1.4 percent. Don't pass has a house edge of 1.36 percent. These tiny differences compound. Over a thousand bets at 25 dollars each, the house expects to win 350 dollars. The variance might be 5,000 dollars. But the expected direction is inexorable.

The woman from Sacramento had another habit. She played roulette on Fridays. European roulette. The house edge on any single-number bet is 2.7 percent. On even-money bets (red-black, odd-even), it's also 2.7 percent. The EV on a 100-dollar bet on red is negative 2.70 dollars. Play red every Friday for 12 years, assuming 50 spins per evening, assume 50 weeks per year, that's 30,000 spins. At 2.7 percent, she expected to lose 81,000 dollars on the roulette wheel alone.

What fascinated Jack was this: the woman did not care about expected value. She cared about the experience. The Thursday baccarat session made her feel like she was someone from a James Bond film. The Friday roulette was meditation. She had a good job, a pension coming, and she allocated a specific amount annually for the ritual of it. She was not trying to beat the math. She was buying time in a place where the rules were clear and simple.

Jack would write: the expected value of a gamble is the average outcome if the bet were placed infinite times. A player does not play infinite times. A player plays until they are tired, or until they run out of money, or until something pulls them away. At that finite point, the expected value has barely begun its work.

But the house understands expected value deeply. A casino with a thousand tables in operation across a thousand nights generates millions of individual bets. On millions of bets, the law of large numbers takes hold. The expected value becomes actual value. The house edge becomes house profit.

The woman from Sacramento passed away in 2019. Jack went to her memorial. Her daughter mentioned that her mother had always seemed happiest on Thursday and Friday evenings. Jack did not tell her mother spent about 160,000 dollars over twelve years on those two evenings. Some calculations, once you understand them, are better left unspoken.

Filed underStrategy

Related posts