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Online Poker James Gilman. Topics ●Hand Probabilities ●Betting Odds ●Odds of winning ●Expected Value ●Decision Making ●Poker Statistics ●Variance.

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Presentation on theme: "Online Poker James Gilman. Topics ●Hand Probabilities ●Betting Odds ●Odds of winning ●Expected Value ●Decision Making ●Poker Statistics ●Variance."— Presentation transcript:

1 Online Poker James Gilman

2 Topics ●Hand Probabilities ●Betting Odds ●Odds of winning ●Expected Value ●Decision Making ●Poker Statistics ●Variance

3 Hand Probabilities How often will you get dealt AA? P(Ace,Ace) = (4/52)x(3/51) = 12/2625 = 1/221 =.00452

4 Betting Odds ●A normal bet (1:1) - You need to win 50% to break even ●You bet with two people at once(2:1) - You need to win 33.3% to break even ●A number on a roulette wheel (35:1) - You need to win 2.77% to break even

5 Odds of Winning 44 unknown cards Duhamel’s outs to win: 4 Eights, 4 Kings, 2 Jacks 10/44 =.227

6 Expected Value Total Pot = 41.6M Affleck EV =.773 x 41.6M = 32.2M Duhamel EV =.227 x 41.6M = 9.4M

7 Simplified Example $10 in the pot You and your opponent have $10 each. You are first to act and can only fold or bet $10. Your Decision Fold Bet $10 Outcome = $0 Opponent folds, outcome = $10 Opponent Calls and you lose, outcome = -$10 Opponent Calls and you win, outcome = $20

8 Back To The Example What is the worst hand you would want to bet with? What if you had to bet $20 or $30 instead of $10? What if you could bet any amount you want? What if your opponent could re-raise you?

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10 Tracking Program

11 Checking on My Own Statistics

12 Variance You can think of a poker hand, session, tournament as an event that will end in as either Success or Failure. Bernoulli trial / Binomial Distribution Var = p(1-p) or np(1-p)

13 A look at long run variance

14 Implied Odds 34% 66%

15 Bankroll Management Kelly Criterion Used to maximize your growth rate

16 Example: One on One Tournament You think you are a 60% favorite to win. After the rake you will get 10/11 odds on your money if you win. [(10/11) x.6 -.4] / (10/11) =.16

17 Multi-Table Tournament 8074 players

18 Lottery Example Using Kelly Criterion Assume you are getting a good bet that pays out 2/1 in the long run. Odds of jackpot 1/175,000,000 [350,000,000 x (1/175,000,000) - (1 - (1/175,000,000)] / 2 = 0.000000002857 If tickets are $1, you would need a $35 million dollar bankroll to make this bet.


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