Poker calculator

Poker calculator

Poker calculators are algorithms which through probabilistic (see Poker probability) or statistical (via a Monte Carlo method) means derive a player's chance of winning, losing, or tying a poker hand.

Given the complexities of poker and the constantly changing rules, most poker calculators are statistical machines, probabilities and card counting is rarely used. Poker calculators come in three flavors: "poker advantage calculators", "poker odds calculators" and "poker relative calculators".

A "poker odds calculator" calculates a player's winning ratio. Winning ratio is defined as, the number of games won divided by the total number of games simulated in a Monte Carlo for a specific player.

A "poker advantage calculator" calculates a player's winning ratio and normalizes (see Normalization (statistics)) the winning ratio relative to the number of players. An advantage calculator, provides a normalized value between -100% and +100% describing a player's winning change in a locked domain. That is, if a player's result is -100%, regardless of the number of players in the game, the player will certainly lose the game. If a player's advantage is +100%, regardless of the number of players, the player will certainly win the game.

Both a poker odds and advantage calculators can provide results provided a specific game scenario. Game scenario variables include: the number of players, the game type being played, and the hand or cards available for the player in question. Alternatively, there also exist "poker relative calculators" which display a player's winning chance relative to another player's chance.

"Poker relative calculators" tend to be displayed on poker shows and tournaments for an audience because they provide an accurate assessment of a player's winning chance. However, professional in game poker players do not use or think in terms of "poker relative calculations" because two or more poker hands of the same table are required.

ee also

*Poker tools
*List of poker related topics
*Game complexity
*Normalization (statistics)


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