Program With Digital Copies of Players Runs One Million WSOP 2026 Simulations

^{Lucas Jumalon}

The team behind the poker training platform Advanced Poker Training simulated the final table of the WSOP Main Event, which will take place from August 3 to 5.

A digital version of each of the nine participants was created based on their actual chip stack, position at the table, experience, playing style, level of aggression, risk tolerance and reactions to their opponents’ actions. The program then played out the tournament one million times and recorded the winner of each simulation.

American player Lucas Jumalon finished first more often than anyone else, winning 40.4% of the simulated tournaments, or approximately 404,000. Rami Hammoud ranked second with 13.2%, while Jamie Shavel placed third with 11.3%. Since no other participant won nearly as often, Jumalon was named the leading contender for the title.

Advanced Poker Training conducted a similar experiment before the 2016 WSOP final table. On that occasion, the program simulated the tournament 100 times and identified Qui Nguyen as the most frequent winner. Nguyen later went on to become the actual champion.

Such calculations cannot predict the winner with certainty. They show how factors including the participants’ starting chip stacks, positions at the table and expected playing styles could affect the outcome.

A model of this kind can also be used to prepare for the tournament. Players can repeatedly practise playing at the final table against digital versions of their future opponents and test different strategies.

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