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Article

Gambling Strategies and Prize-Pricing Recommendation in Sports Multi-Bets

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Department of Mathematics, Bar-Ilan University, Ramat Gan 5290002, Israel
2
Faculty of Engineering, Bar-Ilan University, Ramat Gan 5290002, Israel
3
The Institute of Nanotechnology and Advanced Materials, Bar-Ilan University, Ramat Gan 5290002, Israel
*
Author to whom correspondence should be addressed.
Big Data Cogn. Comput. 2021, 5(4), 70; https://doi.org/10.3390/bdcc5040070
Submission received: 10 October 2021 / Revised: 10 November 2021 / Accepted: 24 November 2021 / Published: 29 November 2021

Abstract

A sports multi-bet is a bet on the results of a set of N games. One type of multi-bet offered by the Israeli government is WINNER 16, where participants guess the results of a set of 16 soccer games. The prizes in WINNER 16 are determined by the accumulated profit in previous rounds, and are split among all winning forms. When the reward increases beyond a certain threshold, a profitable strategy can be devised. Here, we present a machine-learning algorithm scheme to play WINNER 16. Our proposed algorithm is marginally profitable on average in a range of hyper-parameters, indicating inefficiencies in this game. To make a better prize-pricing mechanism we suggest a generalization of the single-bet approach. We studied the expected profit and risk of WINNER 16 after applying our suggestion. Our proposal can make the game more fair and more appealing without reducing the profitability.
Keywords: betting strategy; market efficiency; machine learning; wisdom of crowds; pricing betting strategy; market efficiency; machine learning; wisdom of crowds; pricing

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MDPI and ACS Style

Pirvandy, O.; Fridman, M.; Yaari, G. Gambling Strategies and Prize-Pricing Recommendation in Sports Multi-Bets. Big Data Cogn. Comput. 2021, 5, 70. https://doi.org/10.3390/bdcc5040070

AMA Style

Pirvandy O, Fridman M, Yaari G. Gambling Strategies and Prize-Pricing Recommendation in Sports Multi-Bets. Big Data and Cognitive Computing. 2021; 5(4):70. https://doi.org/10.3390/bdcc5040070

Chicago/Turabian Style

Pirvandy, Oz, Moti Fridman, and Gur Yaari. 2021. "Gambling Strategies and Prize-Pricing Recommendation in Sports Multi-Bets" Big Data and Cognitive Computing 5, no. 4: 70. https://doi.org/10.3390/bdcc5040070

APA Style

Pirvandy, O., Fridman, M., & Yaari, G. (2021). Gambling Strategies and Prize-Pricing Recommendation in Sports Multi-Bets. Big Data and Cognitive Computing, 5(4), 70. https://doi.org/10.3390/bdcc5040070

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