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All Times ET

Friday, February 19
Fri, Feb 19, 12:30 PM - 1:30 PM
Virtual
ePoster Session 3

Simplify Poker Game for Predicting the Winning Probability Based on Risk Management (304215)

Mason Chen, Stanford Online High School 
*Saloni Patel, Stanford Online High School 

Keywords: Modeling, Statistics, Psychology, JMP, Poker, AKQJ, Probability, Risk Management

Poker is a very popular gambling game in Casinos. Except professionals, most Poker players lose money without knowing basic poker probability. This project studies Poker probability by using the 16-cards partial deck with 6 players. The authors have used combination formula and derived the general formulas of matching probability for each matching patter. With this unique AKQJ game, the winning patterns are down to “Four of a Kind”, “Full House”, “Three of a Kind” and “Two Pairs”. If all 6 players are playing, this Poker AKQJ game would be exciting since basic Poker probability can be simply calculated to guide each poker player on their betting decision to avoid any risky move. To study the players’ personality and psychology character, each player has been assigned a different playing character quantified by the risk level. Through this Poker AKQJ game, player data were simulated based on the worst-case probability algorithm. Worst-case algorithm could shorten the probability calculation time in real poker betting situations. Through playing this AKQJ game, poker players may become more rational and avoid gambling disorder.