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

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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
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Stat 35b: Introduction to Probability with Applications to PokerOutline for the day:Daniel vs. Gus, probabilities involving 4-of-a-kindExpected value and pot odds, revisitedViolette/Elezra exampleYang/Kravchenko exampleExpected value and deal-making(Remember: for teams and examples for hw & computer projects, seehttp://www.stat.ucla.edu/~frederic/35b/F07/diamond1.txt u   u 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? 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.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 64974.2) 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.3) Example: Poker Superstars Invitational Tournament, FSN, October 2005.Ted Forrest: 1 million chipsFreddy Deeb: 825,000 Blinds: 15,000 / 30,000Cindy Violette: 650,000Eli 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%.3Violette 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%]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.
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