1 / 8

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day:

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Daniel vs. Gus, probabilities involving 4-of-a-kind Expected value and pot odds, revisited Violette/Elezra example Yang/Kravchenko example Expected value and deal-making

Download Presentation

Stat 35b: Introduction to Probability with Applications to Poker Outline for the day:

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Stat 35b: Introduction to Probability with Applications to Poker Outline for the day: Daniel vs. Gus, probabilities involving 4-of-a-kind Expected value and pot odds, revisited Violette/Elezra example Yang/Kravchenko example Expected value and deal-making (Remember: for teams and examples for hw & computer projects, see http://www.stat.ucla.edu/~frederic/35b/F07/diamond1.txt  u   u 

  2. 1) High Stakes Poker: Daniel vs. Gus -- How unlikely is it to make 4-of-a-kind? 1 in ___ ? -- What about the probability of flopping 4-of-a-kind? -- What about the prob. of flopping 4-of-a-kind, given that you have a pocket pair? -- Is it less likely than … * flopping an ace-high flush? * flopping a straight-flush?

  3. Suppose you’re all in next hand, no matter what cards you get. P(eventually make 4-of-a-kind)? [including case where all 4 are on board] Trick: just forget card order, and consider all collections of 7 cards. Out of choose(52,7) different combinations, each equally likely, how many of them involve 4-of-a-kind? 13 choices for the 4-of-a-kind. For each such choice, there are choose(48,3) possibilities for the other 3 cards. So, P(4-of-a-kind) = 13 * choose(48,3) / choose(52,7) ~ 0.168%, or 1 in 595. P(flop 4-of-a-kind) = 13*48 / choose(52,5) = 0.024% = 1 in 4165. P(flop 4-of-a-kind | pocket pair)? No matter which pocket pair you have, there are choose(50,3) possible flops, each equally likely, and 48 of them give you 4-of-a-kind (e.g. if you have 7 7, then need to flop 7u 7 X, & there are 48 choices for X.) So P(flop 4-of-a-kind | pp) = 48/choose(50,3) = 0.245% = 1 in 408.

  4. P(flop an ace high flush)? [where the ace might be on the board] -- 4 suits -- one of the cards must be an ace. Choose(12,4) possibilities for the others. So P(flop ace high flush) = 4 * choose(12,4) / choose(52,5) = 0.0762%, or 1 in 1313. P(flop a straight flush)? -- 4 suits -- 10 different straight-flushes in each suit. (5 high, 6 high, …, Ace high) So P(flop straight flush) = 4 * 10 / choose(52,5) = 0.00154%, or 1 in 64974.

  5. 2) Pot odds and expected value, continued. From last time: to call an all-in, need P(win) > B ÷ (B+pot). Expressed as an odds ratio, this is sometimes referred to as pot odds or express odds. If the bet is not all-in & another betting round is still to come, need P(win) > wager ÷ (wager + winnings), where winnings = pot + amount you’ll win on later betting rounds, wager = total amount you will wager including the current round & later rounds, assuming no folding. The terms Implied-odds / Reverse-implied-odds describe the cases where winnings > pot or where wager > B, respectively.

  6. 3) Example: Poker Superstars Invitational Tournament, FSN, October 2005. Ted Forrest: 1 million chips Freddy Deeb: 825,000 Blinds: 15,000 / 30,000 Cindy Violette: 650,000 Eli Elezra: 575,000 * Elezra raises to 100,000  * Forrest folds. * Deeb, the small blind, folds. * Violette, the big blind with Ku Ju, calls. * The flop is: 2u 7 Au * Violette bets 100,000. * Elezra raises all-in to 475,000. (pot = 790,000) So, it's 375,000 more to Violette. She folds. Q: Based on expected value, should she have called? Her chances must be at least 375,000 / (790,000 + 375,000) = 32%.3

  7. Violette has Ku Ju. The flop is: 2u 7 Au. Q: Based on expected value, should she have called? Her chances must be at least 375,000 / (790,000 + 375,000) = 32%. vs. AQ: 38%. AK: 37% AA: 26% 77: 26% A7: 31% A2: 34% 72: 34% TT: 54% T9: 87% 73: 50% Harrington's principle: always assume at least a 10% chance that opponent is bluffing. Bayesian approach: average all possibilities, weighting them by their likelihood. Maybe she's conservative.... but then why play the hand at all? Reality: Elezra had 7u 3. Her chances were 51%. Bad fold. How many outs did she have? eight us + 3 kings + 3 jacks = 14. And 2 chances (turn + river). So a very rough guess is 28% + 28% = 56%. A better guess is P(out on turn OR river) = 14/45 + 14/45 - (14/45)(13/44) = 53.0%. Must subtract from this the prob. that she hits a K or J but still loses = 6*4 / choose(45,2) = 2.4%. [50.6%] Also, subtract the chance that she gets the 3u but Elezra makes a full house = 1*4 / choose(45,2) = 0.4%. [50.2%] Also, add P(QT, non-u) = 9/choose(45,2) = 0.9%. [51.1%]

  8. 4. Yang / Kravchenko. Yang A 10u. Pot is 19million. Bet is 8.55 million. Needs P(win) > 8.55 ÷ (8.55 + 19) = 31%. vs. AA: 8.5%. AJ-AK: 25-27%. KK-TT: 29%. 99-22: 44-48%. KQs: 56%. Bayesian method: average these probabilities, weighting each by its likelihood.

More Related