Nearly ** percent of the online gambling was made on the shadow market in 2016 in Poland. The share decreased steadily to nearly ** percent in 2024.

This statistic shows the distribution of online gambling revenue in Mexico in 2016. That year, the Mexican online gambling market presented a total revenue of two billion U.S. dollars, of which ** percent was obtained through the use of illegal or non-authorized websites.

The statistic shows the online gambling market as a share of the total gambling market worldwide from 2008 to 2015, with forecasted figures from 2016 to 2020. In 2015, the online gaming gross win accounted for ** percent of the total gaming gross win, this was forecasted to increase to ** percent in 2020.

Statistics Finland conducted the Gambling Harm Survey in early 2017 as a mixed-mode internet/mail survey. The study was commissioned by the National Institute for Health and Welfare (THL). The study aimed to chart Finnish gambling habits, social and healthcare-related problems caused by gambling, and opinions on the visibility of advertising and marketing by Finnish gambling organisations. In 2016, three gambling operators had exclusive rights to provide gambling services in Finland: Finland's Slot Machine Association RAY (government-owned), Veikkaus (government-owned) and Fintoto. These three were merged into a single government-owned organisation in 2017. First, the respondents were asked what the reasoning was for a government-owned and government-regulated gambling market (e.g. securing gambling profits for the state; supporting Finnish art, science, sports, and social services; reducing the harm caused by gambling; preventing foreign competition). Their opinions on marketing and advertising by these organisations were examined with questions regarding, for example, how often the respondents had seen gambling advertisements on billboards, television, the internet etc. Gambling habits were examined with questions regarding the frequency of playing games of chance, such as lotteries or horse betting, and reasons for playing them. The study also surveyed if the respondents found gambling a problem, how often they had felt in 2016 that it was a problem, and if they were familiar with or had used different services provided by RAY, Veikkaus and Fintoto for helping control gambling. The amount of money the respondents had used for gambling in 2016 per week, per month and during the whole year was also surveyed, as well as in what sort of environments they played these games (e.g. at home, at work, in kiosks, at Casino Helsinki) and with whom (alone, with an acquaintance / a group of acquaintances, or with an unknown person / a group of unknown persons). It was also surveyed if the respondents gambled on the internet and whether they used a PC or a mobile device, such as a smartphone or a tablet computer, for online gambling. Next, the Problem and Pathological Gambling Measure (PPGM) was used to evaluate the respondents' gambling habits. They were also asked about harm caused by gambling on their lives in general as well as relating to their economical situation, work or studies, health, emotional well-being and relationships. Other possible types of harm on the respondents' lives were also surveyed. Finally, the respondents were asked if their social circle in 2016 included persons who, in their opinion, gambled too much. It was queried who these persons were in relation to the respondents and what sort of problems these persons' gambling had caused for the respondent. Background variables included gender, education level, net income (categorised), economic activity and occupational status, age group and NUTS3 region.

In 2022, the majority of online gambling payments with companies licensed by the Malta Gaming Authority were made by bank transfer, with **** percent. The second-most common method was with a credit or debit card.

In the beginning of 2017, Finland's three gambling operators that had exclusive rights to provide gambling services, Finland's Slot Machine Association RAY, Veikkaus and Fintoto, merged into a single government-owned organisation (Veikkaus). The 2017 survey aimed to chart Finnish gambling habits, social and healthcare-related problems caused by gambling, and opinions on the visibility of advertising and marketing by Finnish gambling organisations. The goal of the study was to examine possible consequences of the merge. The survey was a follow-up study to FSD3261 Gambling Harm Survey 2016. The data for the follow-up 2017 study were collected in 2018 but as the study examines the respondents' gambling during the previous year, the title refers to the year 2017. The study was conducted by Statistics Finland and commissioned by the National Institute for Health and Welfare (THL). First, the respondents were asked about the reasoning for a government-owned and government-regulated gambling market (e.g. securing gambling profits for the state, supporting Finnish art, science, sports, and social services, reducing the harm caused by gambling, preventing foreign competition). Their opinions on marketing and advertising by these organisations were examined with questions regarding, for example, how often the respondents had seen gambling advertisements on billboards, television, the internet etc. Gambling habits were examined with questions regarding the frequency of playing games of chance, such as lotteries or horse betting, and reasons for playing them. Knowledge on aspects relating to gambling, such as the chances of winning, warning signs of excessive gambling, and health-related or financial consequences of gambling were charted. The study also surveyed whether the respondents found gambling a problem, how often they had felt in 2017 that it was a problem, and whether they were familiar with or had used different services provided by Veikkaus to help control gambling. The amount of money the respondents had used for gambling in 2017 per week, per month and during the whole year was also surveyed, as well as in what sort of environments they played games of chance (e.g. at home, at work, in kiosks, at Casino Helsinki) and with whom (alone, with an acquaintance or a group of acquaintances, or with an unknown person or a group of unknown persons). It was also surveyed whether the respondents gambled on the internet and used a PC or a mobile device, such as a smartphone or a tablet computer, for online gambling. Next, the Problem and Pathological Gambling Measure (PPGM) was used to evaluate the respondents' gambling habits. They were also asked about harm caused by gambling on their lives in general as well as relating to their economical situation, work or studies, health, emotional well-being and relationships. Other possible types of harm on the respondents' lives were also surveyed. Finally, the respondents were asked if their social circle in 2017 included persons who, in their opinion, gambled too much. It was queried who these persons were in relation to the respondents and what sort of problems these persons' gambling had caused for the respondents. Background variables included gender, education level, net income (categorised), economic activity and occupational status, age group and NUTS3 region.

Casinos and online gambling platforms have evolved remarkably in recent years, cementing their status as standout performers in the global leisure and entertainment sector. A surge in tourism has fueled booming attendance at iconic casino destinations, while advances in technology and regulatory reforms have rapidly expanded digital gambling markets to new consumer groups. Despite periodic economic disruptions and ongoing geopolitical uncertainty, the industry’s ability to adapt through enhancing visitor experiences, embracing mobile innovation and pursuing strategic mergers and acquisitions has helped drive consistent profit growth and sharpen its competitive edge internationally. Revenue has grown at a CAGR of 7.4% over the past five years, reaching an estimated $287.8 billion in 2025, when revenue is expected to climb 1.5%. The industry’s resilience has been evident in its swift rebound from the pandemic era’s travel bans and venue closures. With global tourism activity rising, destination casinos in hubs like Las Vegas, Macau and major European cities recorded increased foot traffic and revenues. At the same time, there’s been a decisive shift in consumer preferences toward experiences over goods, allowing casinos that double as entertainment complexes to capture an even bigger share of discretionary spending. Meanwhile, the expansion of online gambling, bolstered by regulatory changes, mass adoption of mobile technology and the growing popularity of live dealer games, has propelled digital platforms to new heights, resulting in notable profit gains globally. Over the next few years, growth will be supported by younger, tech-savvy players who prefer mobile betting and simplified games. This demographic shift pushes traditional casinos and online platforms toward modernized offerings, including skill-based gaming and accessible table games. Regulatory reforms will continue to tighten, especially in areas like responsible gaming, driving compliance costs and improving the sector’s public image. At the same time, AI and data analytics advances promise to boost operational efficiency, personalize experiences and ensure regulatory compliance. As new and existing markets mature, the industry’s profit trajectory seems to remain upward, propelled by a blend of innovation, investment and steady demand for entertainment-driven gambling experiences. Revenue is forecast to climb at a CAGR of 1.3% to $307.0 billion in 2030.

The statistic presents the estimated total amount wagered on eSports on cash gambling site worldwide in 2016, by product type. According to the calculations, the total bets for eSportsbook betting were expected to reach *** million U.S. dollars by the end of 2016. That same year, the most popular eSports game on the gambling market was League of Legends, as approximately ** percent of the total eSportsbook amount wagered was attributed to bets placed on LoL. All in all, the entire eSports betting market is believed to bring in **** billion U.S. dollars in revenue in 2020, up from only ** million estimated for 2015.

Europe's gambling and betting industry is continually evolving, bolstered by advancements in technology and changing consumer habits. While it's a hugely popular form of entertainment, the industry faces challenges, including strict regulations and ethical concerns over gambling addictions. Gaming enthusiasts across Europe are increasingly gravitating towards online gambling, particularly mobile apps, boosting industry demand. However, adverse economic conditions, including lingering financial challenges and geopolitical concerns, have weighed on consumer spending on gambling and betting activities. Revenue is expected to expand at a compound annual rate of 1.6% to €151.1 billion over the five years through 2025, despite a 1.1% dip in 2025. Online gambling and betting are growing rapidly in Europe, mainly due to technological advancements and the use of smartphones. As convenience trumps tradition, bricks-and-mortar betting and gambling establishments are closing up shops and online operators are cashing in. This ease of gambling from anywhere at any time is swelling gambling addiction across Europe. Governments are tightening their laws to protect consumers, ranging from advertising restrictions to complete bans. Since 2022, inflationary pressures have weakened consumer sentiment and forced consumers to tighten their purse strings, hindering gambling and betting activity. Although increased competition and regulations have weighed on profitability, the move to online platforms has supported the industry’s average profit margin. Digitalisation is set to steer the future direction of gambling in Europe, particularly through mobile gambling. Stringent regulations, like advertising bans and betting limits, are also anticipated as gambling addiction continues to be a thorn in the industry's side. However, overly strict regulations would risk consumers migrating to illegal gambling markets, taking revenue away from licensed companies. Businesses are embracing innovation like never before to stay ahead, including augmented reality, virtual reality and cryptocurrency, to create a more immersive and personalised experience. Investment in AI and data analytics is also at the forefront of industry transformation as operators look to optimise their platforms and give clients a more enjoyable and safer betting environment. Companies will increasingly leverage technology tools for targeted advertising and a more personalised experience for bettors on platforms, including tailored promotions and enhanced in-play markets. Revenue is forecast to expand at a compound annual rate of 3.5% to €179.1 billion over the five years through 2030. Meanwhile, intense competition and more stringent regulations will weigh on profit expansion.

This statistic displays the findings of a survey on the share of people participating in gambling in Great Britain in 2016, by frequency and mental ill health GHQ-12 score. During the survey period, it was found that ** percent of the respondents with less than optimal mental ill health according to the GHQ-12 score stated that they participated in any online gambling or betting once a week in the past 12 months.

In 2016, the gambling habits of a sample of 3361 adults in the state of Victoria, Australia, were surveyed. It was found that a number of factors that were highly correlated with self-reported gambling frequency and gambling problems were not significant predictors of gambling frequency and problem gambling. The major predictors of gambling frequency were the degree to which family members and peers were perceived to gamble, self-reported approval of gambling, the frequency of discussing gambling offline, and the participant’s Canadian Problem Gambling Severity Index (PGSI) score. Age was a significant predictor of gambling frequency for certain types of gambling (e.g. buying lottery tickets). Approximately 91% of the explainable variance in the participant’s PGSI score could be explained by just five predictors: Positive Urgency; Frequency of playing poker machines at pubs, hotels or sporting clubs; Participation in online discussions of betting on gaming tables at casinos; Frequency of gambling on the internet, and Overestimating the chances of winning. Based on these findings, suggestions are made as to how gambling-related harm can be reduced.

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Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

In this dataset you can find the top 200 games on twitch on each month from 2016 to present day. The data is divided into two datasets: - A bigger file - Twitch_game_data in which we find 200 obeservations per month representing the top games or categories on twitch for that month.
- A smaller file - Twitch_global_data in which there is one obeservation per month that contains the general statistics about viewership on twitch.

Acknowledgements

All information was taken from sullygnome.com - a twitch analytics and statistics site.

Inspiration

Where does your favorite game stands in relation to the top game category on twich? Is there one game who is the true king of twitch? Just chatting, is this category just a fad or is it here to stay?

Suggestions and/or comments are welcomed :)

Gambling and betting form a key part of the UK’s landscape, intertwined with the nation’s culture through sport, racing and leisure. Betting habits have evolved, with punters moving from high-street shops to online platforms that now pull in the lion’s share of revenue – data from the Gambling Commission (GC) shows the online sector’s gross gambling yield (GGY) reached £1.54 billion in 2024, underlining the scale of this shift. As online betting has grown, though, so too have concerns over addiction, prompting regulators to tighten rules and step up efforts to protect customers. Revenue is forecast to climb at a compound annual rate of 3.5% over the five years through 2025-26 to £17.2 billion, including an expected jump of 2.4% in 2025-26. Much of the industry’s recent growth reflects the recovery of betting shops after the pandemic, when revenue was hit hard by forced closures. That rebound has helped accelerate the longer-term shift to online gambling, which has expanded sharply, with GC data showing a 21% rise in GGY in Q4 2024 compared to the same period a year earlier as unfavourable sports results stabilised and more consumers migrated to digital platforms. Consumers are increasingly drawn to the convenience and accessibility of online platforms, with remote games proving the biggest winners – GGY from remote games rose 7% year-on-year in Q1 2025, according to the GC, driven by an 11% surge in online slot games. The rapid growth of slots has brought them under closer scrutiny, prompting the introduction of regulations capping stake limits in April 2025. Even with revenue on the rise, profit has been hit by this heavier regulation, as well as soaring marketing costs. Over the five years through 2030-31, revenue is forecast to expand at a compound annual rate of 2.6% to £19.6 billion. The industry will continue to be shaped by debate over gambling safety and public harm, a discussion expected to culminate in tighter regulation that will hoist operating costs even higher. Banks will play their part in protecting consumers, with schemes including Nationwide’s gambling blocks holding back demand for betting. AI is also poised to reshape the industry, with companies promoting it as a means to reduce costs and expand revenue through targeted marketing and promotions. However, ethical concerns, particularly around the risk of exacerbating gambling harm, continue to cloud AI’s potential.

The Challenge

The online sports gambling industry employs teams of data analysts to build forecast models that turn the odds at sports games in their favour. While several betting strategies have been proposed to beat bookmakers, from expert prediction models and arbitrage strategies to odds bias exploitation, their returns have been inconsistent and it remains to be shown that a betting strategy can outperform the online sports betting market. We designed a strategy to beat football bookmakers with their own numbers:

"Beating the bookies with their own numbers - and how the online sports betting market is rigged", by Lisandro Kaunitz, Shenjun Zhong and Javier Kreiner.

Here, we make the full dataset publicly available to the Kaggle community. We also provide the codes, raw SQL database and the online real-time dashboard that were used for our study on github.

Our strategy proved profitable in a 10-year historical simulation using closing odds, a 6-month historical simulation using minute to minute odds, and a 5-month period during which we staked real money with the bookmakers. We would like to challenge the Kaggle community to improve our results:

• Can your strategy consistently beat the sports betting market over thousands of bets across leagues around the world?
• Do time series odds movements offer insightful information that a betting strategy can exploit?
• Can you outperform the bookmakers’ predictions included in the odds data by creating a better model?

What's inside the Beat The Bookie dataset

10 year historical closing odds:

• 479,440 football games from 818 leagues around the world
• Games from 2005-01-01 to 2015-07-30.
• Maximum, average and count of active odds at closing time (start of the match)
• Betting odds from up to 32 providers
• Details about the match: date and time, league, teams, 90-minute score

14-months time series odds:

• 92,647 football games from 1005 leagues around the world
• Games from 2015-09-01 to 2016-11-22
• Hourly sampled odds time series, from up to 32 bookmakers from 72 hours before the start of each game
• Details about the match: date and time, league, teams, 90-minute score

The dataset was assembled over months of scraping online sport portals.

We hope you enjoy your sports betting simulations (but remember... the house always wins in the end).

Acknowledgements

Ben Fulcher was of great help when we were drafting the paper. Ben has also developed a very nice toolbox for time-series analysis, which might be relevant for the analysis of this dataset.

A survey conducted in 2022 in Mexico found that ** percent of respondents who played video games stated playing them online, going down from ** percent from 2020 to 2021.

Internet Gaming Disorder (IGD) was introduced as a condition with significant consequences requiring further research (American Psychiatric Association-APA, 2013). This study assessed, over a maximum period of three months, a sample of 60 Australian/permanent residents, players of massively multiplayer online (MMO) games, aged between 18 to 29 years about their IGD behaviors. IGD behaviors have been shown to peak among MMO gamers within this age range, and are related to individual, family and gaming associated risk and protective factors (Kuss & Griffiths, 2012).The present study used a battery of questionnaires to assess psychopathological behaviors (i.e depression, anxiety, Attention Deficit and Hyperactivity symptoms) and personality traits as individual factors, family relationships (family cohesion) as a family factor. Additional measures were: the level that the gamer is absorbed by the game action (online flow), and the game context (presence) and the bond between the gamer and his figure of representation (avatar) in the game (user self-presence) as gaming patterns related to IGD behaviors. Physiological activity and sleep duration were additionally measured using a fitness tracker (wearable actograph-bracelet). Basic demographic (i.e. gender, age, relationship status) and internet use questions (i.e. daily time consumed online) were included. Participants were provided with a plain language information sheet (PLS) and informed of all information needed toconsent to the study. Participants were then invited to complete the survey (40 minutes approximately) and to wear the fitness tracker (three days per measurement). The data were collected either online (survey monkey/lime survey) or face to face across three time points, one month apart, and participants’ measures were matched through a re-identifiable code. The study looked at unveiling risk and protective (individual, family and gaming related) factors for IGD behaviors.Procedure:Inclusion criteria18 to 29 years of age; players of massively multiplayer online (MMO) games, who were able and consent to: either a) attend three face to face assessment sessions onsite and carry a fitness tracker for 9 days (3 days per assessment point, one month apart, over three months) or: b) to complete an online assessment sessions without carrying a fitness tracker.Exclusion criteriaDue to self-monitoring and the inclusion of the physical activity tracking, those meeting the following criteria were not able to participate: had a documented life threatening illnesses or brain injury, mobility issues or a current untreated severe mental illness. These was done through a brief face to face interview prior to the setup of the fitbitIndividuals interested received the Plain Language Information Statement (PLIS). If a person chose to participate they were then be required to provide informed consent (signing the consent form).For physiological measurements, participants were provided with a fitness tracker (fitbit) to wear for three days (per assessment point). Fitness tracker data was collected through a unique online account referring to the device. The account was paired with an anonymous email address created by the information technology department of the University (i.e. fitbit1@federation.edu.au) where the data could be accessed. Each email address was assigned (randomly) to a different participant by the researchers.For all other measurements, participants were required to attend onsite for an approximately (40) minute data collection session per time-point, wherein they had to fill in a battery of 12 (paper & pencil) questionnaires. Besides demographic and internet use information (17 items) and the Internet gaming disorder - short form 9 (9 items) (Pontes & Griffiths, 2015) to assess IGD behaviors, these included:a. Assessing individual psychopathological factors associated to IGD: Beck depression inventory - second edition (21 items)(Beck, Steer & Brown, 1996), Beck anxiety inventory (Beck & Steer, 1990), Hikikomori-social withdrawal scale (5 items) (Teo et al., 2015), Attention Deficit Hyperactivity self-report scale (18 items) (Kessler et al., 2005) and the ten item personality inventory (Gosling, Rentfrow & Swann, 2003)b. Assessing family factors associated to IGD, the family cohesion scale (7 items) (Olson, 2011),c. Assessing gaming patterns associated to IGD: presence questionnaire (10 items) (Faiola, Newlon, Pfaff, & Smyslova, 2013), flow questionnaire (5 items) (Chen Wigand & Nilan, 2000), self-presence questionnaire (Ratan & Hasler, 2010) and the Gaming-Contingent Self-Worth Scale (12 items) (GCSW; Beard & Wickham, 2016).d. in face to face collection the assessment process was repeated three times. Fitbit accounts were deleted at the end of the study.

The gross gaming revenue of the gambling industry in the United States reached a total of 71.92 billion U.S. dollars in 2024. This shows an increase of more than five billion U.S. dollars when compared to the previous year. When looking at the breakdown of gross gambling revenue in the U.S., by segment, casino slots and table games brought in the highest portion of revenue in 2024.

The graph shows information on the percentage of mobile gamers who played online games requiring constant internet connection in the United States as of December 2016. During the survey, ** percent of respondents said they always played such games, while *** percent said they never played mobile games that required to have a constant internet connection.

Context

FIFA Mobile is an association football simulation video game developed by EA Mobile and EA Canada and published by EA Sports for iOS and Android. FIFA Mobile is an association football simulation video game developed by EA Mobile and EA Canada and published by EA Sports for iOS and Android. It was released on 11 October 2016, for iOS and Android. Microsoft Windows was also included until 2017. It was announced on August 16, 2016, during Gamescom 2016.[2] [source: wiki]

eFootball PES 2020 (eFootball Pro Evolution Soccer 2020) is a football simulation video game developed by PES Productions and published by Konami for Microsoft Windows, PlayStation 4, Xbox One, Android, and IOS.[1] The game is the 19th installment in the eFootball Pro Evolution Soccer series and was launched worldwide on 10 September 2019 and in Japan on 12 September 2019. [source: wiki]

Content

Acknowledgements

Image - FIFA EA Games & PES 2021 Official

Questions to answer

If I were to choose an online football game which one should it be?

As per Cognitive Market Research's latest published report, the Global Daily Fantasy Sports market size was USD 5,992.74 Million in 2017 and it is forecasted to reach USD 14,875.92 Million by 2029. Daily Fantasy Sports Industry's Compound Annual Growth Rate will be 8.95% from 2023 to 2030.

The North America Daily Fantasy Sports market size will be USD 5,022.11 Million by 2029.

Market Drivers For Daily Fantasy Sports

Growing adoption of smartphones coupled with rising internet connectivity

Over the last few years, there is a rapid increase in smart device adoption and internet penetration. Smart devices offer flexibility to customers on a smartphone, laptop, desktop, or tablet. With these devices, users are simply able to access several daily fantasy sports apps and websites.

According to a study, the number of unique mobile internet users in 2020 was 4.28 billion, and more than 90% of the worldwide internet population has access to the internet through a mobile device. Until March 2021, the internet penetration rate in Asia was at 62%, 88% in Europe, and 90% in North America.

Similarly, according to the study, the current global smartphone user population is 6.648 billion, which indicates that 83.72 percent of the world’s population possesses a smartphone. This statistic has increased significantly from 2016, when there were just 3.668 billion users, accounting for 49.40 percent of the world’s population at the time.

Furthermore, the usage of tablets, laptops, and desktops is also raising. According to the Australian Bureau of Statistics, desktop or laptop computers are used by 91% of connected households.

As technology advances, various organizations are releasing numerous daily fantasy games that can play online. This enables several people to entertain themselves as well as to earn money. In this app or website, users can play a wide range of fantasy games, including cricket, hockey, football, basketball, and kabaddi. This promotes market expansion.

According to data shared by Indian Super League (ISL) its fantasy football players hail from India, Nepal, Bangladesh, and the UK, with 86% of the traffic coming from mobile phones. As a result, the growing adoption of smart devices coupled with rising internet connectivity drives the growth of the daily fantasy sports market.

Rising number of daily fantasy sports players

As online gaming and associated activities gain traction, the online fantasy sports market is expected to see a considerable increase in income. The popularity of fantasy games has surged with the introduction of various applications and websites. Daily fantasy games, in particular, are gaining popularity, and many individuals are drawn to them. This increases the popularity of daily fantasy sports.

Daily fantasy games are a popular type of online fantasy gaming in which users pay an entrance fee to compete for cash rewards based on the performance of professional athletes whom users choose and then track in their respective professional sports events.

People are drawn to daily fantasy games for a variety of reasons. The primary reason for this is that players can win real money. According to data, one-third (34%) of urban Indians have played online fantasy sports for money in June 2021. There is real money on the line, and anybody has a chance to win. Some players even make a full-time career by joining competitions. It's difficult to say how much profit the top fantasy sports players make, but there's evidence that they might be earning at least $10,000 every week.

As a result, many players want to participate in daily fantasy games. According to the Fantasy Sports and Gaming Association, approximately 59 million individuals in the United States and Canada participate in fantasy sports. It also claims that 20 million individuals in India play fantasy games, with the amount expected to rise to 150 million by 2022. According to the Fantasy Sports Trade Association, the number of fantasy sports participants has increased from 500,000 in 1988 to 59.3 million in 2017, with the business being worth $7.22 billion (FSTA).

Similarly, key players are participating in a variety of measures to increase player numbers. For instance, to increase its appeal to women, Disney introduced a fantasy

league game for ABC's "Bachelorette" show in 2017. More than 700,000 individuals have playe...