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cancel confirm. free football tips and predictions. Under 2. Under 1. Over 2. Under 3. Over 3. Vancouver Whitecaps. Sporting Kansas City. San Jose Earthquakes. Seattle Sounders. Portland Timbers. New England Revolution. Zhejiang Professional. Wellington Phoenix. Apparently, the randomness relies on the number of times the croupier spins the wheel, which, in turn, depends on their arm strength among other properties.

IMPORTANT NOTE. For security reasons and in order to keep confidential the identity of the vendor and game affected, some data has been redacted or omitted and the name of the game was changed to a generic one Big Six. In addition, screenshots of the real wheel and croupiers have been substituted by similar images specially created for this purpose.

Bix Six is a casino game based on Wheel of Fortune game. Briefly, it is a big vertical wheel where the player bets on the number it will stop on [ 3 ]. According to this security analysis, the outcome of the Big Six game is predictable enough in order that the house edge could be overcome and consequently a profit could be made in the long run.

Generally speaking, croupiers unconsciously tend to spin the wheel a specific number of times hence the dispersion of the number of spins is too small. Consequently, some positions of the wheel had higher chances of winning and a player could benefit by betting on these positions.

The wheel is comprised of 54 segments. The possible outcomes on the wheel are 1, 2, 5, 10, 20, 40, multiplier 1 M1 and multiplier 2 M2. Players bet on a number they think the wheel will land on and then the croupier spins the wheel.

The bets must be placed within the table limits, which are shown on the screen. The colour around the countdown indicates when players can place bets green , when betting time is nearly over amber and when no further bets can be placed for the current round no countdown.

It is worth mentioning that the croupier starts spinning the wheel before the betting time is over and continues doing it for several seconds once the betting time is over and the betting panel is no longer available. The wheel can stop on the numbers 1, 2, 5, 10, 20 and The pay-out of each segment is a bet multiplied by its number plus the stake.

The segments M1 and M2 are multiplier segments, which makes the game more interesting. If the wheel stops on any of them, new bets are not accepted, and the wheel is spun again. If the wheel stops on two or more multipliers, the final win is increased by as many times as all the multipliers before indicate.

A script was developed to record the behaviour and the outcome of the Bix Six online game. The obtained data included inter alia, initial speeds of the wheel, croupiers and winning numbers.

The figures below show some of those hands. In order to do this, the chi-square test of independence have been used to ascertain whether the difference between the analysed numbers distribution and the expected distribution is attributed to good luck or, on the contrary, to the lack of randomness, which could be eventually exploited by a malicious player.

Should any further information about the method be required, the reference added to this document could be consulted [ 1 ][ 2 ]. As the critical value is significantly higher than chi-squared statistic 4. This implies that it cannot be stated that there is difference in size of the segments or the wheel is biased.

According to the collected data, the chi-squared statistic is In addition, the p-value probability of obtaining test results at least as extreme as the results actually observed [ 4 ] is 0.

The table below shows that p-value is even lower in winning relative positions for hands with clockwise direction, particularly 0. Simultaneous confidence intervals [ 5 ][ 6 ] were calculated for this last sample to ultimately know the maximum and minimum potential benefit which a player would be able to gain.

It was estimated that a player has a probability of 2. This probability considerably exceeds the expected value 1. In order to exploit the lack of randomness of winning relative positions, betting strategies have to be designed.

The following two sections include betting strategies designed for clockwise and anticlockwise games, and the analysis of their efficiency in comparison with other strategies. A very simple winning betting strategy consists in betting on number 40 if the segment there is only one segment with number 40 is in the relative position 29 and the wheel direction is clockwise.

The following shows an example of how this strategy works. The image below shows the initial position of the wheel this coincides with the instant before the betting panel is disabled and no longer available until the next game.

Number 40 is in the relative position 8 but not in the relative position Therefore, this game would be ignored, and no bets should be made. In the following initial position, number 40 is in the relative position Therefore, a bet should be made on number It is worth mentioning that the bets would need to be made in an automated way using a script because such tasks as identifying the number positioned in a specific relative position, and making or not making a bet within 0.

According to the simultaneous confidence intervals calculated previously, the probability of winning would be between 2. it was estimated that the player could obtain a return on betting that would range from 0. For instance, a player would win a minimum of 5.

As a proof of concept, a more complex betting strategy was designed based on the estimated probabilities and expected ROI. For example, if the wheel is spinning clockwise and the relative position of the segment 40 is 7 see the image below , the player should not bet on any number.

However, if the wheel is spinning clockwise and the relative position of the segment 40 is 39, the player should bet on number 10 according to the strategy see the following image and table. Noticed that not all the games were played. In order to determine the effectiveness of the betting strategy, the probability of obtaining a return greater than or equal to the returns obtained was worked out.

Specifically, a bootstrap[ 7 ] analysis was performed to estimate the distribution of returns for the following losing strategies:. It is worth mentioning that Monte Carlo[ 8 ] analysis was performed as well, which yielded very similar results.

A thousand games were simulated. It is noteworthy that better strategies could be worked out. However, they were not explored as exploiting the lack of randomness in an efficient way was not the aim of this analysis but highlighting the fact that the house edge could be overcome.

It is worth mentioning that no intrusive tests were conducted during this research. Additionally, it was not necessary to make any bets to detect or proof the potential vulnerability described in this document.

The interaction with the game was limited to record videos of the wheel, which were analysed afterwards. Other online games were found to be similar to Bix Six. Therefore, these games might be vulnerable as well. It is recommended to make the necessary changes to the game in order to generate random winning relative positions.

This way, it will not be possible to overcome the house edge and make profit in the long run. The best and safest solution probably, the most expensive to implement as well is to replace the croupiers by hardware that randomly generates the outcome and spins the wheel with the necessary and exact strength to show the previously determined number as the winning number.

Other solution might consist in increasing the difference between the minimum and maximum number of wheel spins. According to the observations, the croupiers currently spin the wheel approximately between 2.

This means a difference of only two wheel spins 4. Additionally, it was observed that the croupiers unconsciously tend to spin the wheel a specific number of times.

Particularly, a number between 3. Apparently, the fact that this distribution is bell-shaped is the reason why the winning positions are not random enough. Therefore, increasing the difference between the maximum and minimum number of wheel spins will help to flatten the curve and, consequently, to obtain more random winning numbers.

To illustrate this solution, a simulation of 7, wheel spins, whose numbers of segments run ranged from Its histogram can be seen in the image below:. A chi-square test was conducted, and the p-value obtained was This result conforms well with a fair game and the deviation from expectations is well with the normal range.

Alternatively, winnings of players could be monitored and analysed statistically in real time. Additionally, suspicious betting patterns could be monitored as well.

For example, a player betting only on specific numbers 40 and 20 sporadically could be an indicative of a player trying to exploit this issue. Author: Zaid Baksh In the ever-evolving landscape of cyber threats, ransomware remains a persistent menace, with groups like Lorenz actively exploiting vulnerabilities in small to medium businesses globally.

Since early , Lorenz has been employing double-extortion tactics, exfiltrating sensitive data before encrypting systems and threatening to sell or release it…. A story on finding a zero day attacking the NETGEAR WAN interface after a last minute patch for Pwn2Own , involving a command injection, predicting random numbers, boot timing and voltage supply variations.

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Predicted Lineups. com - Predicttion Ultimate Sports Betting Prediiction Sportsgambler. The gambler x prediction fixtures for mecca slots leagues and competitions. This is higher than any other AUC value reported by similar studies that the authors are aware of e. This can also be applied to gambling.	Gender, age, frequent wagering in a single session, high losses, frequent depositing within a h period, and several other monetary variables were associated with self-reported problem gambling. As our main goal here is to get a proper way to boost our fortune level, we will only focus on your Sun sign, which is the month of your birth. VCU vs Richmond. The AIC was 13, and therefore lower than for the model without the monetary intensity values. Miami Open's Blake fined for betting sponsorship.	An anonymous professional sports bettor shares why legalizing sports betting in the U.S. hasn't created more opportunities to profit for Insider Secrets of football betting - how to forecast match results; How a London syndicate won over 1/2 million pounds with carefully targeted predictions Join This Week's #SteamRoom!! LIVE SUN @ pm est - Review Short/Long-Term Results Profit Blueprint + Proper Bet Size Q&A + CHAT+ LIVE BETS & More	The gambler's fallacy, also known as the Monte Carlo fallacy or the fallacy of the maturity of chances, is the incorrect belief that, if an event has Read today's picks from the world's leading free football tips and predictions provider for every game in all the leading competitions “But the odds for expansion to additional states appear iffy in because of political resistance and the sometimes competing financial

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The monetary intensity variables were added in a third logistic regression model and a likelihood ratio test was carried out between the third and the second model.

To reduce and prevent multicollinearity among the variables James et al. This threshold was also used by Hopfgartner et al. The amount of money bet per session and the amount of money won per session were excluded from the analysis based on a VIF greater than The Nagelkerke R 2 compares the log-likelihood of a model with explanatory variables to the null-model without any explanatory variables.

Similar to an R 2 of a linear regression it is between 0 and 1. However, it does not report the percentage of explained variance, it reports the degree of the correlation between the independent variables and the binary dependent variable.

Additionally, two machine learning models, Random Forest Rigatti, and Gradient Boost Machine Doan and Kalita, , were carried out. In contrast to classical statistical methods like logistic regression, machine learning methods use more parameters which can lead to overfitting.

This means that models might explain data on which they were trained very well, but not be applicable to new datasets. Model accuracy is reported based on the test data.

A total number of 37, gamblers registered between January 1 and April 30, with the online operator that provided the secondary dataset. Out of the 37, gamblers, became high-risk for at least one day in the 90 days after registration 7.

Table 1 reports the mean average values for gamblers who became high-risk and gamblers who did not become high-risk during the 90 days after registration.

Gamblers who did not become high-risk were on average 30 years old and gamblers who became high-risk were on average 38 years old. Future high-risk gamblers also displayed higher values with respect to every metric carried out during the first seven days after registration.

In order to investigate whether there was a linear or non-linear relationship between age and being a high-risk gambler, the authors classified players into different age bands. There appeared to be a positive correlation between age and the percentage of high-risk gamblers with the largest value appearing among those aged 39—55 years.

Those gamblers aged up to 21 years and those aged 22—28 years comprised the lowest percentage of high-risk gamblers. Gamblers older than 56 years had a lower percentage of high-risk gamblers compared to those aged between 39 and 55 years Table 2.

Appendix 2 shows the correlations between each variable including the high-risk status. There is a correlation of 0. A combination of variance inflation factor analysis and examination of the bivariate correlations led to the exclusion of the average amount of money won per session and the average amount of money bet per session.

This can be also explained by the fact that the difference between the amount of money won and amount of money bet is actually the amount of money lost. Variables which are derived from other variables do not add additional explanatory power, but increase collinearity and therefore add instability to regression models.

The number of monetary deposits had the largest correlation with becoming high-risk 0. A logistic regression model which included age and being female as independent variables and high-risk gambling as a binary dependent variable was carried out.

The control model reported a Nagelkerke R 2 of 0. The AIC of the control model was 18, In the next step, the behavioral variables were added to the logistic regression. The Nagelkerke R 2 was 0. The AIC was 14, The lower the AIC value, the better the model quality. Table 3 reports the coefficients for each independent variable.

Only being female was negatively correlated with becoming a high-risk gambler. In the third step, the monetary intensity variables were added to the logistic regression. The AIC was 13, and therefore lower than for the model without the monetary intensity values. This means that the AIC also confirmed an improved model quality after adding the monetary intensity variables.

Table 4 reports the coefficients for each independent variable in the third logistic regression model. In the multivariate logistic regression model, being female, average amount of money deposited per session, and average amount of money were negatively associated with becoming a high-risk gambler.

Table 4 also reports the odds ratios exp β for each independent variable in the logistic regression model. An odds ratio of 1 indicates that the chance of becoming high-risk is not related to an independent variable. An odds ratio of greater than 1 means that the chance of becoming high-risk increases with an increasing value of the independent variable.

If a player gambles on one more day during the first seven days after registration, the chance of becoming high-risk increases by An odds ratio of smaller than 1 means that the chance of becoming high-risk decreases with an increasing value of the independent variable.

Being female decreased the chance of becoming high-risk by One of limitation of logistic regression is that the method can only identify linear relationships. It is also non-iterative and it has many assumptions regarding the distribution of the data.

Therefore, the authors also carried out a Random Forest as well as a Gradient Boost Machine model. The independent variables and the dependent variable were the same as for the aforementioned third logistic regression model. Figure 1 displays the receiver operating curve ROC and the area under the curve AUC for the two models based on the test dataset.

The most important variables with respect to explanatory power were the total amount of money deposited, the number of deposits, the amount of money lost, and the average number of deposits per session. The present study was carried out in an attempt to identify early patterns of gambling which are predictive of becoming high-risk during the first 90 days after registration.

Player tracking data from a sample of 37, European online gamblers were used. The average age was 38 years which is in line with samples from other online gambling studies e. A univariate analysis found a lower percentage of high-risk gamblers among those aged up to 28 years compared to older gamblers.

Various relationships between age and problem gambling have been identified previously. For example, Raisamo et al. In a study of to year-old Australians, Abbott et al. The present study was based on player tracking data and did not assess gambling-related harm using a self-report gambling screen.

Young adults were less likely to become high-risk gamblers i. However, this does not necessarily contradict the aforementioned findings because young adults might perceive lower losses as harmful due to a lower available income. Older gamblers are more likely to have more available income which can lead to higher losses and more frequent high-risk classifications.

However, older adults might not perceive the losses as harmful because they do not negatively impact their financial situation. In the multivariate logistic regression model, this correlation was reversed which means that being female meant a lower likelihood of being high-risk.

The odds ratio for being female indicated that the chance of becoming high risk decreased by It is not uncommon that the direction of a correlation is different in a multivariate analysis compared to a univariate analysis because independent variables are often correlated with each other.

Apart from the average session length in minutes per session and the average number of monetary deposits per session, each of the behavioral metrics in the logistic regression was significant. This was also indicated by a Nagelkerke R 2 value of 0.

The addition of monetary intensity variables only slightly increased the Nagelkerke R 2 value from 0. In the final model, only the average amount of money withdrawn per session and the total amount of money lost were not significant.

The non-significance of the average number of deposits per session in the present study could be related to high correlations between the independent variables. Although highly correlated variables were removed based on the variance inflation factor VIF , it is still possible that another independent variable which is highly correlated with the average number of deposits per session was responsible for the non-significant correlation of the latter variable.

The correlation matrix in Appendix 1 shows a correlation of 0. The latter remained in the model and the odds ratio indicated that the chance of becoming high-risk increased by 5.

Other factors that were not assessed that may have contributed to high-risk gambling include factors specific to the gamblers themselves e. This was further backed up by machine learning models which report an area under the curve AUC of 0. This is higher than any other AUC value reported by similar studies that the authors are aware of e.

Among all the variables, the number of days on which a player gambled during the first week increases the chance of becoming high-risk the most.

The present study has a number of limitations. First, although the number of participants was large and representative of those who gambled on the website, the findings were based on a single anonymized secondary dataset from one European online casino operator.

Data from different operators might lead to other results which limits the generalizability of the findings. For example, responsible gambling interactions could lower the number of high-risk players or prevent players from becoming high-risk at an early stage. Responsible gaming procedures can also lead to player suspensions which would also lead to a lower number of high-risk players over time.

Third, there was no information available on the nationalities of the gamblers. Given there are often cultural differences between gamblers, it is not known if the participants predominantly came from one or two countries or whether the sample was more geographically diverse.

Finally, there is a possibility that more than one person might have been gambling using the same account e. Future replication studies should be conducted with data from different operators with different types of gamblers. However, no causal conclusions are made because the study was based on secondary data.

The findings of the study will be of interest to many different stakeholder groups of the gambling industry, gambling policymakers, and gambling regulators, as well as other researchers in the gambling studies field.

This means that online gambling operators could identify future high-risk players very early through monitoring metrics such as the amount of money deposited, number of monetary deposits, amount of money lost, and number of monetary deposits per session.

Abbott, M. The prevalence, incidence, and gender and age-specific incidence of problem gambling: Results of the Swedish longitudinal gambling study Swelogs. Addiction, 4 , — Article PubMed Google Scholar. Auer, M. The use of personalized behavioral feedback for online gamblers: An empirical study.

Frontiers in Psychology, 6 , Article PubMed PubMed Central Google Scholar. Self-reported losses versus actual losses in online gambling: An empirical study.

Journal of Gambling Studies, 33 3 , — The use of personalized messages on wagering behavior of Swedish online gamblers: An empirical study. Computers in Human Behavior, , Article Google Scholar.

Global limit setting as a responsible gambling tool: What do players think? International Journal of Mental Health and Addiction, 18 1 , 14— An empirical attempt to operationalize chasing losses in gambling utilizing account-based player tracking data. Journal of Gambling Studies.

Advance online publication. In this gambling horoscope, we figure out what secrets are hidden by the day, month, and year in which you were born. So how can this gambling luck calendar be composed?

To calculate what a particular day holds, you need to compare the numerology of your date of birth and the day you need to check.

The numerology of the date of birth is considered to be the sum of all the numbers of the date and bringing it to a prime number. Now we are able to calculate the lucky number of the day when you are planning to schedule a gambling session.

We have to calculate the total numerology of the resulting numbers. Now we can have a look at the interpretation of this number. Any steps that lead you to your goal will bring success!

Expect drastic changes: from good to bad and vice-versa. Avoid any type of conflict. This could be a good day to ask for a rewarding bonus. Starting something new on this day is not worth it.

Keep playing your favorite games at your preferred online casino. Time for new meetings, trips, and harvesting for those who have worked hard. This is a day for communication with old friends, charity, the forgiveness of grievances, and settlement of old conflicts.

It is better not to build new plans, so do not change the gambling platform this day. Feel free to start learning or make new discoveries. Intuition works to the fullest. A perfect moment to try some new games and strategies.

Energy is very successful and productive. You can take risks, solve complex problems, and register at new casinos. Success and luck accompany your endeavors, so use this day wisely. You can safely talk about your undertakings; everything will come true!

Most astrologists and numerologists assure us that you should not divide the numbers into lucky and unlucky. Each number carries some information. They simply tell us how best to act, and what should be abandoned.

The Universe can signal something to us if, for example, we constantly see the same number or a number with repeating digits. This is always a small, but meaningful warning for us. Nevertheless, it is highly recommended to be extra careful during some periods of the year.

One of those times is retrograde Mercury. There is nothing dangerous here, you just have to show some vigilance and caution, especially for the above-written Zodiac signs, as these might be not your lucky days to gamble. If you are still unsure whether today is a good day to gamble , then pass a luck test on our website.

This simple game will help you to check your intuition and test your inner sense. Not only the number, but the actual day of the week hides its own potential. In popular astrology, there is such a thing as lucky and unlucky days of the week for the signs of the zodiac.

This can also be applied to gambling. The thing is that the planets are directly responsible for managing the days, and each of them invests special energy on a particular day. Our task is to understand on which day the energies will be most favorable for our ideas, intentions, and gambling.

If you are a woman, the best time for you to play are Mondays and Fridays these days have the greatest flow of feminine and emotional energy , if you are a man, try to gamble on Tuesdays and Wednesdays planets these days are filled with powerful and strong fire energy.

Sunday is the day of the Sun, life, personal integrity, and the day of pure consciousness. This day equally favors all the signs of the Zodiac, as it gives an influx of strength and pure thinking.

Monday is the day of the Moon, a planet that controls emotions and is responsible for the health, life, and water element. Aqua signs: Cancer, Scorpio, and Pisces — this is your lucky day to gamble! Tuesday — Mars is the planet of aggressiveness, impulsiveness, and speed, so on Tuesday, people have time to manage much more things than on a regular day.

Wednesday — Mercury is the planet of movement, communication, and trade. People on this day are sociable, easy-going, and wise. Air Signs: Gemini, Libra, and Aquarius can definitely succeed this day!

Thursday — is the most auspicious day of the week, because this day is ruled by Jupiter — the largest and most pious planet. The symbols of this day include luck, spirituality, and wealth. Astrologers unanimously assure us that this day favors any sign of the Zodiac, but especially earthly ones: Taurus, Virgo, and Capricorn!

Venus is the planet of pleasures and feelings, so on Friday , people are more sensitive than usual. Some people are lucky on weekends, and others on weekdays.

Nonetheless, astrologers recommend not to gamble a lot on weekends, the exception can only be your own personal feeling. In this case, it is highly recommended to opt for Sundays rather than Saturdays when it comes to gambling. But there is a problem.

Saturday is under the auspices of Saturn — a strict and wise planet, which is also responsible for laws and order, higher justice, and symbolizes time. It has been considered a day of loneliness, refusal of social contacts, time for solitude, completion of affairs, and performance of various rituals and meditations.

Many people mistakenly believe that Sunday is the final day of the week, which is actually not true. Saturday is the last day, which is why this is the time to take a rest, analyze the work done and make good plans for the upcoming days. If you want to find out your best days to gamble at a casino , then the only perfect solution would be to test your luck on different days.

Start writing the notes in the diary after each gambling session, whether it was successful for you or not. After a while, you will see a clear picture and insights regarding your lucky days. While luck can be unpredictable and difficult to quantify, there are various methods that people use to try and gain insights into their chances of winning.

The process involves asking a specific question about your luck and drawing a card from a tarot deck. The card drawn will have different meanings and can provide insights into various aspects of your luck, including the chances of winning or losing, the best strategies to adopt, and the obstacles you may face.

You can ask questions such as:. Talismans are believed to have magical properties and are often used for good luck, protection, and success in various aspects of life, including gambling.

The use of gambling charms and talismans varies greatly depending on the culture and individual beliefs. The horseshoe is often made of iron and is believed to have the ability to ward off evil spirits and bring good fortune.

The horseshoe charm can be hung above a door, placed on a wall, or carried in a pocket or purse during gambling activities. The type of coin used as a lucky charm can vary depending on personal preference and cultural traditions. Some people believe that coins with a certain year or mint mark are lucky, while others may use coins that have been passed down through generations in their family.

A mojo bag or sachet may include herbs such as chamomile, basil, or cinnamon, which are believed to attract good luck and money.

Other items that may be included in the bag are crystals, such as citrine or pyrite, which are believed to promote abundance and prosperity. Our results speak for themselves. Betting on our football tips can be done through any sportsbook or betting exchange that is legal in your country.

We recommend shopping around for the biggest price you can find on your selection. We always advise our tips at the best price we can find at the time they are posted. Over many bets this can make a significant difference to your profit and loss. Both oddschecker and oddsportal are recommended for odds comparison.

At frog the gambler we are committed to responsible betting. Please know your limits and gamble responsibly. If you are looking for help, advice or support about your gambling, please go to gamcare.

At frog the gambler we believe in full transparency of our betting performance. We post all our results for every sportsbook, country and competition in our results section. Looking at our results against individual sportsbooks, we have positive returns for every one of them we have had over gold picks with.

You can read our results by sportsbook here. Saturday is the prime day for matches across the major leagues. The tips for Saturday will generally be posted on the Thursday before the game.

Be sure to check on Thursday afternoon on our latest tips page to get the early prices. We offer tips on all the major competitions like the English Premier League, La Liga, Ligue 1, Bundesliga, Serie A and MLS.

On top of this we cover competitions right down the lowest level we can get data and odds for across the globe throughout the weekend. Our algorithms have consistently made profits over thousands of bets.

Most free tipsters do not publish their results for everyone to see. Some just publish their winning picks but ignore the selections that lose. We have reached out to dozens of other free tipsters online.

Many did not reply. We are confident from comparing our performance against the other sites that we are the leading performer. If you disagree please contact us.

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