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Bet365 Xml – Open Access Policy Institute Open Access Program Special Issue Guidelines Editorial Process Research and Publication Ethics Articles Processing Fee Award Definitions

All published articles are immediately available worldwide under an open access license. Reuse of all or part of a published article (including figures and tables) does not require specific permission. For articles published under the Open Access Creative Commons CC BY license, any part of the article may be reused without permission as long as the original article is clearly cited. For more information, see https:///openaccess.

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Monographs represent cutting-edge research that has had the greatest impact in the field. The monograph should be a substantial, original article that covers several techniques or methods, provides perspectives on future research directions, and describes possible research applications.

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Monographs are submitted based on personal invitation or recommendation of the Scientific Editor and must receive positive feedback from the reviewers.

Editors’ Choice articles are based on recommendations from scientific editors of journals worldwide. The editors select a small number of recently published articles in the journal that they consider particularly interesting to readers or important to their research areas. The aim is to provide a snapshot of some of the most interesting work published in the various research areas of the journal.

Author: Oz Pirvandy Oz Pirvandy Scilit Preprints.org Google Scholar Publications 1, 2, Moti Fridman Moti Fridman Scilit Preprints.org Google Scholar Publications 2, 3 and Gur Yaari Gur Yaari Scilit Preprints.org Google Scholar View Publications, 232 *

Submissions received: October 10, 2021/Revised: November 10, 2021/Accepted: November 24, 2021/Published: November 29, 2021

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A multi-sports bet is a bet on the outcome of a set of N games. One type of multi-bet offered by the Israeli government is Winner 16, in which participants predict the results of 16 soccer matches. The 16 winning payouts are determined by the accumulated profits from the previous rounds and distributed among all winning forms. When rewards exceed a certain threshold, profitable strategies can be designed. Here, we offer a machine learning algorithm solution to play WINNER 16. Our proposed algorithm has minimum profit on average across hyperparameters, indicating that the game is inefficient. To create a better bonus rate mechanism, we recommend improving the single bet method. After implementing our recommendations, we reviewed WINNER 16’s expected benefits and risks. Our suggestions can make the game better and more attractive without reducing the profit.

The current rise of big data has a huge impact on almost all aspects of modern life. Data is being collected like never before, and the tools to analyze it are constantly evolving. Two sectors that benefit the most from this are finance and sports[1]. In particular, professional sports are data-driven and quantifiable. Although sports statistics have traditionally been aggregated, some data are now recorded in detail at the individual level and with high spatial and temporal resolution. Large amounts of data and methods for accessing and analyzing this information make it possible to test quantitative hypotheses [2, 3, 4, 5, 6].

Sports betting is a financial product that rewards gamblers based on the risks they take. In traditional financial markets, there is extensive and detailed documentation that affects transactions and price movements in the market. In recent years, sports betting has been closing this gap, with more high-frequency, high-quality data available to the public. Although there are similarities between financial markets and sports betting, there are also some important differences between them. The biggest difference is the legal issue; In terms of sports betting, some countries restrict the age of participants, some prohibit citizens from gambling on other countries’ websites, and some prohibit online gambling. However, in most financial markets, these restrictions do not exist. In addition, in financial markets, traders can buy and sell any legal product without any restrictions, as long as there are more than one over-the-counter trader willing to trade with them. This free market drives the development of the fintech sector, where there is high frequency trading and automated arbitrage as well as temporary market inefficiencies [7]. Conversely, in most jurisdictions, sportsbooks store participant information and share it with other bookmakers, so it is not possible to trade at different bookmakers at the same time.

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Another difference is the transfer fee. In financial markets, clearinghouses charge particularly low fees (typically <1%)[8]. In sports betting, each bookmaker has its own fee, which is usually quite high, for example bookmakers William Hill and Bet365 have an average fee of around 10% or more.

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Bookmakers use existing data to create new bet types, such as which team will score first, which team will foul first, how many goals will be scored in the second half, etc. Smart gamblers seek this information to develop and test gambling strategies, from rules-based [9] to analytical portfolio management [10] to artificial intelligence [11, 12, 13, 14].

Sports betting games are often based on odds of results. But in Israel, the bookmaker “Winner” has created a football gambling game called “Winner 16” which is not based on the results but is similar to the lottery game in some aspects. Winner 16 is a football betting game that offers betting on 16 matches selected by the winning bookmaker. To participate, one or more forms must be filled out, each costing NIS 3. The winning 16 game has multiple prize categories: first prize for correctly guessing all 16 games, second prize for guessing 15 out of 16 games, third prize for guessing 14 out of 16 games, and so on, until Up to 12 games. 16. Prizes in Winner 16 are determined by their distribution, meaning the sum of all prizes

All other prizes (12-15 correct guesses). If there are no winners in one or more categories during a particular week, the prizes for that period will be carried over to subsequent rounds. If more than one gambler wins a particular category, the winnings will be divided equally among the winning gamblers. Since there is no correlation between the prize and the chance of winning, there is a “sweet spot” that can turn the gambler’s expected profit into a positive value and determine how we gamble in that game/round. Winner 16 opens up online participation to gamblers from around the world.

The term crowd wisdom reflects the idea that large groups of people collectively are smarter than specialized experts [15]. In sports, crowd wisdom can be demonstrated by using Twitter to predict the outcome of soccer matches [16]. Another example is the betting market. The casino sets the initial odds based on expert evaluations in-house. When new bets are placed, the casino changes the betting odds in such a way that it wins. A reasonable assumption of this mechanism is that the wisdom of the crowd will drive the betting odds towards the optimal size for the game, i.e. it is assumed that the wisdom of the crowd will drive the betting odds to a more accurate estimate. Accurate estimation of betting odds can create an efficient sports betting market. It is worth noting that as the date of the match approaches, information such as player injuries, illnesses, weather conditions, and actions taken by both sides will affect the setting of the betting lines. Here, we first examine this by analyzing a large data set of sports betting. We then explore crowdsourced strategies for investing in multiple bets. Finally, we propose to generalize the bonus pricing method for a single bet to multiple bets.

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Data from each website was downloaded using Python code using the phantomjs suite [17] to manipulate JavaScript that prevented us from downloading the data. The data was collected between June 2011 and January 2017 and is available on the website. Use the statistical software R for data processing. Rounds with incomplete data, such as fewer than 16 games shown, obvious confusion in the prize table, or unclear games listed, were removed from the analysis. Of the 312 rounds performed during this period, these defects totaled 144 rounds, resulting in 168 complete rounds of data set. Of these, 16 rounds were missing reward data, resulting in a complete data set of 152 rounds. This code is available upon request.

To determine the size of the bonus in the simulations, we must take into account the effects of additional forms that are considered in each simulation. Adding more formats to a given round affects the awards in two ways: (1) the earnings of winners increase, which in turn increases the funds allocated for future awards; (2) is the amount of the reward

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