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Craps Table Odds: Comparing Player’s Edges For Selected Table Odds. David Wirkkala May 7, 2002 Advisor: Dr. Karrolyne Fogel. Dice Probability. In rolling two dice there are 36 possible outcomes. P(sum is 2) = P(sum is 12) = 1/36 P(sum is 3) = P(sum is 11) = 2/36
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Craps Table Odds:Comparing Player’s Edges For Selected Table Odds David Wirkkala May 7, 2002 Advisor: Dr. Karrolyne Fogel
Dice Probability In rolling two dice there are 36 possible outcomes. • P(sum is 2) = P(sum is 12) = 1/36 • P(sum is 3) = P(sum is 11) = 2/36 • P(sum is 4) = P(sum is 10) = 3/36 • P(sum is 5) = P(sum is 9) = 4/36 • P(sum is 6) = P(sum is 8) = 5/36 • P(sum is 7) = 6/36
Betting Strategy: Conservative Craps • Comeout Roll • Pass Line Bet ($1) • Win on 7 or 11; pays 1:1 • Lose on 2, 3, or 12; replace bet and repeat Comeout Roll • If 4, 5, 6, 8, 9, or 10 is rolled this number becomes the “point”; proceed to Point Roll • Point Roll • True Odds Bet ($ amount determined by Table Odds) • Win if “point” is rolled before rolling a 7; lose both bets on 7. • Pass Line Bet pays 1:1 • True Odds Bet pays 2:1 if point is 4 or 10, 3:2 if point is 5 or 9, and 6:5 if point is 6 or 8; house has no advantage
What Are Table Odds? • 1x odds – The True Odds Bet can be 1x the Pass Line Bet • 2x odds – The True Odds Bet can be 2x the Pass Line Bet • If the point is 6 or 8 the True Odds Bet can be 5/2x the Pass Line Bet • 3, 4, 5x odds • The True Odds Bet can be 3x the Pass Line Bet if the point is 4 or 10, 4x if the point is 5 or 9, and 5x if the point is 6 or 8. • 5x odds – The True Odds Bet can be 5x the Pass Line Bet • 10x odds – The True Odds Bet can be 10x the Pass Line Bet
Player’s Edge • The player’s edge is the player’s average gain divided by the player’s average bet. • Example: • Bet $11 to win $10 • 50% chance of winning • Average gain: ½ * (-11) + ½ * 10 = -0.5 • Player’s edge: -0.5/11 = -1/22 or –4.454%
Project Objectives • Use Maple to simulate Conservative Craps for selected Table Odds • Analyze empirical data • Compare empirical data with theoretical expectations • Determine the Table Odds that gives the best player’s edge • Consider extensions of project
Simulation • Recorded winnings and the amount bet after a 100 game session • A game consists of the Comeout Roll, establishing a point, and either rolling the point or rolling a 7. • Simulated 500,000 sessions for each Table Odds
Average Winnings (dollars) Standard Deviation (dollars) Average Bet (dollars) Player’s Edge (%) 1x odds -2.1214404 23.17060673 250.003398 -0.848564626 2x odds -2.120945 37.18120493 370.838377 -0.571932446 345x odds -2.10254 60.19374956 566.671566 -0.371033263 5x odds -2.147962 71.3223923 650.003398 -0.330453965 10x odds -2.181114 132.3755179 1150.003398 -0.189661527 Empirical Results
Calculating The Theoretical Player’s Edge For 1x Table Odds • Probability of player winning on Comeout Roll: • Probability of player establishing a point and then winning: or • Overall probability of player winning:
Calculating The Theoretical Player’s Edge For 1x Table Odds • Overall probability of winning: • Overall probability of losing: • Overall player’s average gain:
Calculating The Theoretical Player’s Edge For 1x Table Odds • Player’s average gain: • Player’s average bet: • The player’s edge is:
Empirical Results Theoretical Expectations 1x odds -0.84856 % -0.848 % 2x odds -0.57193 % -0.572 % 3, 4, 5x odds -0.37103 % -0.374 % 5x odds -0.33045 % -0.326 % 10x odds -0.18966 % -0.184 % Empirical Player’s Edges vs. Theoretical Player’s Edges
Assessment • Maple program was written correctly • Random dice • Winnings appear to be normally distributed • 10x Table Odds gives the player the best edge
Project Extensions • Consider a different betting strategy for selected Table Odds • Compare different betting strategies with the same Table Odds • Consider win/loss limits • Further investigate the distribution of winnings
Resources • Dr. Karrolyne Fogel • Art Benjamin • Anna P. • www.thewizardofodds.com • Probability and Statistical Inference Hogg and Tanis • www.statsoftinc.com/textbook/stdisfit.html • Applications of Discrete Mathematics Rosen