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Poker Math Academy

A course, not a blog. 31 lessons so far, in order, each short and each built around a tool you can change. Start at the top if probability is new to you; jump in anywhere if it isn’t.

  1. The deck as a counting problem. Everything else is built on this.

    1. The deck is a probability space5 min
    2. Probability versus odds4 min
    3. Combinations: counting without listing6 min
    4. One card, then another6 min
  2. Module 2

    Poker hands

    The rankings, how rare each hand is, and best-five-of-seven.

    1. Hand rankings are frequency rankings5 min
    2. Best five of seven5 min
  3. 1,326 combinations, 169 hands, and what the 4 : 12 split means.

    1. 1,326 combinations, 169 hands5 min
    2. Why 4 : 12 matters5 min
  4. Module 4

    Outs

    The cards that help, counted honestly.

    1. What is an out6 min
    2. Clean and dirty outs6 min
  5. From outs to a percentage, on each street.

    1. Flop to turn, turn to river, flop to river6 min
    2. The Rule of 2 and 4, and its error4 min
  6. Module 6

    Pot odds

    The price of a call, and the equity that pays for it.

    1. Pot odds in one formula6 min
    2. Break-even equity by bet size4 min
  7. Module 7

    Implied odds

    Future money, and the uncertainty that comes with it.

    1. Implied odds: paying with money you have not won yet7 min
    2. Reverse implied odds: when hitting still loses6 min
  8. Module 8

    Equity

    Your share of the pot, and its shape across the deck.

    1. What equity means5 min
    2. Equity has a shape6 min
    3. Hand vs range7 min
    4. Range vs range7 min
    5. Equity realisation5 min
  9. Combos, blockers, card removal, value and bluff counts.

    1. Counting combinations in a range6 min
    2. Blockers and card removal6 min
    3. Value combos vs bluff combos7 min
  10. Turning probabilities into money decisions.

    1. Expected value of a call6 min
  11. Module 11

    Variance

    Expected outcomes, standard deviation, downswings, distributions.

    1. Why 70% favourites lose 30% of the time6 min
    2. Standard deviation and sample size6 min
    3. Reading a distribution of outcomes5 min
  12. ICM, risk premium, bubble factors, bounties.

    1. Chips are not dollars: ICM7 min
    2. Risk premium and the bubble7 min
    3. Bounty mathematics5 min