Game's statistics: blackjack

Authors

DOI:

https://doi.org/10.14393/BEJOM-v1-n2-2020-53318

Keywords:

Blackjack, Card games, Statistics, Probability, Computational algorithm

Abstract

The main objectives of this article is to understand in depth the mechanism of the blackjack and establish a simple strategy to maximize the chances of winning the hand. First, we make a brief history about blackjack, discussing its origins and evolution. We explain in detail the rules of blackjack (scoring system and game procedures). In order to contextualize the popularity of blackjack, we provide some examples of books, films and video games where it has some role. Next, we present the computer program that we developed to compute the numeric probabilities to obtaining a given score using the blackjack points system, when we randomly draw 2, 3, 4, 5, 6, 7, 8, 9, 10 and 11 cards from a standard 52-card deck. We explain in detail the algorithm of this program, present its results and analyze them. Finally, we simulate several hands of blackjack with just one player and a dealer. In these simulations, we do not allow the player to hit on hands worth more than a certain maximum score (Pmax) or to get more than a certain maximum number of cards (Nmax). Once again, we present the complete computer program and discuss it line by line. Analyzing the results of 100 simulations, where we sweep the value of  Pmax  from 12 to 21 and the value of Nmax from 2 to 11, we look for the combination of values of Pmax and Nmax that bring the best chance of victory. The best situation is the one that the dealer's chances of winning are only 4.7% higher than the player's.

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Author Biographies

Fábio Pascoal dos Reis, Federal University of Uberlândia - ICENP

Physics professor at ICENP-UFU since 2011. Bachelor and PhD in Physics at IF-UFRJ. Practice area: Theoretical Physics and Mathematical Physics.

Cristiano de Siqueira Esteves, Federal University of Uberlândia - ICENP

He has a degree in Physics from the Federal University of Goiás (2001), a master's degree in Physics from the Federal University of Goiás (2004) and a PhD in Physics-Chemistry from the University of Brasilia (2008). He has experience in the area of Atomic and Molecular Physics, with an emphasis on nonlinear optical properties and development of new methodologies in Electronic Structure. He works mainly on the following topics: Development of the qHartree-Fock Method, Development of new functional forms for the study of Nuclear Reaction Dynamics and Optimization Methods [Generalized Simulated Annealing (GSA) and SIPLEX]. (Source: Lattes Curriculum).

Elisangela Aparecida y Castro, Federal University of Uberlândia - ICENP

Graduated in Physics from the Federal University of Santa Catarina (1998), Master's in Physics from the Federal University of Santa Catarina (2003) and PhD in Physics from the Federal University of São Carlos (2008). She is currently an adjunct professor at the Federal University of Uberlândia. She has experience in the field of Physics, with an emphasis on Collision Processes and Interactions of Atoms and Molecules, acting mainly on the following topics: distorted wave method, differential cross-sections, scattering, schwinger variational method and total absorption cross section. (Source: Lattes Curriculum).

References

HISTORY of Black Jack. The world of playing cards. Diponível em: https://www.wopc.co.uk/history/blackjack/blackjack. Acesso em: 02 abr. 2019.

CERVANTES, Miguel de. Novelas Exemplares, São Paulo, Cosac & Naify, 2015.

CARDS Games Rules: Blackjack. Pagat.com. Diponível em: https://www.pagat.com/banking/blackjack.html. Acesso em 02 abr. 2019.

THORP E. O. Beat the Dealer, New York, Random House, 1966.

WONG, S. Professional Blackjack, Las Vegas, Piyee Press, 1994.

GRIFFIN, P. A. The Theory of Blackjack: The Compleat Card Counter’s Guide to the Casino Game of 21, Las Vegas, Huntington Press, 1999.

Published

2020-07-02

How to Cite

REIS, F. P. dos; ESTEVES, C. de S.; Y CASTRO, E. A. Game’s statistics: blackjack. BRAZILIAN ELECTRONIC JOURNAL OF MATHEMATICS, Uberlândia, v. 1, n. 2, p. 118–131, 2020. DOI: 10.14393/BEJOM-v1-n2-2020-53318. Disponível em: https://seer.ufu.br/index.php/BEJOM/article/view/53318. Acesso em: 22 jul. 2024.

Issue

Section

Articles - Statistics and Probability