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License information was derived automatically
Analysis of ‘NFL scores and betting data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/tobycrabtree/nfl-scores-and-betting-data on 12 November 2021.
--- Dataset description provided by original source is as follows ---
National Football League historic game and betting info
National Football League (NFL) game results since 1966 with betting odds information since 1979. Dataset was created from a variety of sources including games and scores from a variety of public websites such as ESPN, NFL.com, and Pro Football Reference. Weather information is from NOAA data with NFLweather.com a good cross reference. Betting data was used from http://www.repole.com/sun4cast/data.html for 1978-2013 seasons. Pro-football-reference.com data was then cross referenced for betting lines and odds as well as weather data. From 2013 on betting data reflects lines available at sportsline.com.
Helpful sites with interest in football and sports betting include:
https://github.com/fivethirtyeight/nfl-elo-game
http://www.repole.com/sun4cast/data.html
https://www.pro-football-reference.com/
https://github.com/jp-wright/nfl_betting_market_analysis
http://www.aussportsbetting.com/data/historical-nfl-results-and-odds-data/
Can you build a predictive model to better predict NFL game outcomes and identify successful betting strategies?
--- Original source retains full ownership of the source dataset ---
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Explore the historical Whois records related to free-football-odds.com (Domain). Get insights into ownership history and changes over time.
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Explore the historical Whois records related to live-football-betting-odds.com (Domain). Get insights into ownership history and changes over time.
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Explore the historical Whois records related to free-sports-odds.com (Domain). Get insights into ownership history and changes over time.
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Historical price and volatility data for OddsNotify in Euro across different time periods.
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Vietnam sports betting market size is projected to exhibit a growth rate (CAGR) of 9.69% during 2024-2032. The increasing demand for real-time data and advanced analytics tools, which allows sportsbooks to set odds more accurately, manage risk, and offer a wider range of betting options, is driving the market.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
| 2023 |
Forecast Years
|
2024-2032
|
Historical Years
|
2018-2023
|
Market Growth Rate (2024-2032) | 9.69% |
Sports betting refers to an instance of gambling where people stake money on the outcome of sporting events. It involves predicting the outcome of games, matches, or races and placing bets accordingly. Sports bettors can wager on a range of sports, including football, basketball, baseball, soccer, horse racing, and more. Bets can be placed on numerous aspects of a game, such as the final score, point spreads, over/under totals, or specific player performances. Odds are typically set by bookmakers or sportsbooks, reflecting the perceived probability of various outcomes. Sports betting has grown in popularity, with many people participating for entertainment and the potential to win money. However, it can also lead to addiction and financial issues if not done responsibly. Overall, sports betting is a form of entertainment that combines knowledge of sports with the excitement of gambling, offering both risks and rewards for participants.
The sports betting market in Vietnam has experienced substantial growth in recent years, primarily driven by a combination of factors. To begin with, the increasing legalization of sports betting across various jurisdictions has been a pivotal driver. Many states have recognized the potential for revenue generation through taxation and licensing fees, prompting them to legalize and regulate the industry. Consequently, this has led to a surge in the number of online and brick-and-mortar sportsbooks, expanding the overall market reach. Furthermore, the proliferation of digital technology and mobile devices has played a crucial role in driving the sports betting market. With easy access to betting platforms through smartphones and tablets, enthusiasts can now place bets conveniently from anywhere, significantly increasing the market's accessibility and user base. Additionally, the integration of live betting and in-play wagering options has further heightened the excitement and engagement of sports betting, attracting more participants and increasing market activity. Moreover, the rise of sports analytics and data-driven insights, which have provided bettors with valuable information to make informed decisions, enhancing the overall betting experience, is expected to drive the sports betting market in Vietnam during the forecast period.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on platform, betting type, and sports type.
Platform Insights:
https://www.imarcgroup.com/CKEditor/7da755b9-0058-4e24-9c96-31328c655e7evietnam-sports-betting-market-sagment.webp" style="height:450px; width:800px" />
The report has provided a detailed breakup and analysis of the market based on the platform. This includes offline and online.
Betting Type Insights:
A detailed breakup and analysis of the market based on the betting type have also been provided in the report. This includes fixed odds wagering, exchange betting, live/in play betting, pari-mutuel, esports betting, and others.
Sports Type Insights:
The report has provided a detailed breakup and analysis of the market based on the sports type. This includes football, basketball, baseball, horse racing, cricket, hockey, and others.
Regional Insights:
https://www.imarcgroup.com/CKEditor/aa952b43-bcb6-4a97-9a7d-0d8c3be8216fvietnam-sports-betting-market-regional.webp" style="height:450px; width:800px" />
The report has also provided a comprehensive analysis of all the major regional markets, which include Northern Vietnam, Central Vietnam, and Southern Vietnam.
The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Report Features | Details |
---|---|
Base Year of the Analysis | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Units | US$ Million |
Scope of the Report | Exploration of Historical and Forecast Trends, Industry Catalysts and Challenges, Segment-Wise Historical and Predictive Market Assessment:
|
Platforms Covered | Offline, Online |
Betting Types Covered | Fixed Odds Wagering, Exchange Betting, Live/In Play Betting, Pari-Mutuel, eSports Betting, Others |
Sports Types Covered | Football, Basketball, Baseball, Horse Racing, Cricket, Hockey, Others |
Regions Covered | Northern Vietnam, Central Vietnam, Southern Vietnam |
Customization Scope | 10% Free Customization |
Report Price and Purchase Option | Single User License: US$ 3699 Five User License: US$ 4699 Corporate License: US$ 5699 |
Post-Sale Analyst Support | 10-12 Weeks |
Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
<h4
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Explore the historical Whois records related to odds.com (Domain). Get insights into ownership history and changes over time.
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Explore the historical Whois records related to race-odds.bet (Domain). Get insights into ownership history and changes over time.
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The global sports betting market size reached USD 103.08 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 224.12 Billion by 2033, exhibiting a growth rate (CAGR) of 8.56% during 2025-2033. The market is propelled by the rising popularity of e-sports and competitive gaming, increasing adoption of advanced technologies such as virtual reality (VR) and AR, increasing demand for personalized and ergonomic gaming peripherals, rising penetration of internet and smartphones, and cultural enthusiasm among individuals.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
|
2024
|
Forecast Years
|
2025-2033
|
Historical Years
|
2019-2024
|
Market Size in 2024
| USD 103.08 Billion |
Market Forecast in 2033
| USD 224.12 Billion |
Market Growth Rate 2025-2033 | 8.56% |
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2025-2033. Our report has categorized the market based on platform, betting type, and sports type.
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Explore the historical Whois records related to esports-betting-odds.com (Domain). Get insights into ownership history and changes over time.
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License information was derived automatically
Multilevel event history regression model for seasonal risk of out-migration (Odds ratio and CI), **p
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License information was derived automatically
This dataset is about books and is filtered where the book is Against all odds : a pictorial record of the Western Bulldogs' history-making season 2016, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).
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Explore the historical Whois records related to free-nfl-odds.com (Domain). Get insights into ownership history and changes over time.
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License information was derived automatically
Historical price and volatility data for Taiwan New Dollar in OddsNotify across different time periods.
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License information was derived automatically
Frequency table describing n (with %) or mean with standard deviation for all variables.
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Explore the historical Whois records related to breeders-cup-odds.com (Domain). Get insights into ownership history and changes over time.
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BackgroundGrowing evidence suggests that intervention for smoking cessation enhances alcohol abstinence in treatment settings for alcohol dependence. However, research in this field is rare in Asians.MethodWe prospectively investigated the association of smoking status with drinking status using 9 surveys mailed during a 12-month period in 198 Japanese alcohol-dependent men (70 never/ex-smokers and 128 smokers) who admitted for the first time and completed a 3-month inpatient program for simultaneous alcohol abstinence and smoking cessation.ResultsNonsmoking during the first month after discharge and at the end of follow-up was reported in 28.9% and 25.0% of the baseline smokers, respectively. Kaplan-Meier estimates showed that a 12-month alcohol abstinence and heavy-drinking-free status were more frequent among never/ex-smokers (45.1% and 59.8%, respectively) and baseline smokers who quit smoking during the first month after discharge (59.0% and 60.8%, respectively), compared with sustained smokers (30.0% and 41.2%, respectively). Among the baseline smokers, the multivariate odds ratio (95% confidence interval) for smoking cessation during the first month were 2.77 (1.01–7.61) for alcohol abstinence during the period and 2.50 (1.00–6.25) for use of varenicline, a smoking cessation agent, during the inpatient program. After adjusting for age, drinking profile, lifestyle, family history of heavy or problem drinking, lifetime episodes of other major psychiatric disorders, and medications at discharge, the multivariate hazard ratios (HRs) for drinking lapse were 0.57 (0.37–0.89) for the never/ex-smoking and 0.41 (0.23–0.75) for new smoking cessation groups, respectively, compared with sustained smoking, while the corresponding HRs for heavy-drinking lapse were 0.55 (0.33–0.90) and 0.47 (0.25–0.88), respectively. The HR for drinking lapse was 0.63 (0.42–0.95) for the nonsmoking group (vs. smoking) during the observation period, while the HR for heavy-drinking lapse was 0.58 (0.37–0.91) for the nonsmoking group (vs. smoking) during the observation period. Other significant variables that worsened drinking outcomes were higher daily alcohol intake prior to hospitalization, family history of heavy or problem drinking and psychiatric medications at discharge.ConclusionNonsmoking was associated with better outcomes on the drinking status of Japanese alcohol-dependent men, and a smoking cessation program may be recommended to be integrated into alcohol abstinence programs.
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Explore the historical Whois records related to ultimate-odds.com (Domain). Get insights into ownership history and changes over time.
In the United States, the average person has a 1 in 6 chance of dying from heart disease and a 1 in 7 chance of dying from cancer. In comparison, the odds of dying from a dog attack are 1 in 43,882. Sadly, the odds of dying from an opioid overdose in the U.S. are 1 in 55, making death from an opioid overdose more likely than dying from a motor vehicle accident. Opioid overdose death rates have increased insignificantly in the U.S. over the past decade. Leading causes of death in the United States Given the high lifetime odds of dying from heart disease or cancer, it is unsurprising that heart disease and cancer are the leading causes of death in the United States. Together, heart disease and cancer account for around 40 percent of all deaths. Other leading causes of death include accidents, stroke, Alzheimer’s disease, and diabetes. However, in 2020 and 2021, COVID-19 was the third leading cause of death in the United States and remained the fourth leading cause of death in 2022, with around 44.5 deaths per 100,000 population. Heart disease in the U.S. Although heart disease is the leading cause of death in the United States, death rates due to heart disease have decreased steadily over the last two decades. In 2019, there were around 162 deaths due to heart disease per 100,000 population. Coronary heart disease is the most common form of heart disease in the United States. Common risk factors for heart disease include high blood pressure, high cholesterol, smoking, excessive drinking, and being overweight or obese. The states with the highest rates of death from heart disease are Oklahoma, Mississippi, and Alabama.
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License information was derived automatically
Results of three logistic regression models, with outcome variables: Having a history of suicide, self-harm, and both.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘NFL scores and betting data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/tobycrabtree/nfl-scores-and-betting-data on 12 November 2021.
--- Dataset description provided by original source is as follows ---
National Football League historic game and betting info
National Football League (NFL) game results since 1966 with betting odds information since 1979. Dataset was created from a variety of sources including games and scores from a variety of public websites such as ESPN, NFL.com, and Pro Football Reference. Weather information is from NOAA data with NFLweather.com a good cross reference. Betting data was used from http://www.repole.com/sun4cast/data.html for 1978-2013 seasons. Pro-football-reference.com data was then cross referenced for betting lines and odds as well as weather data. From 2013 on betting data reflects lines available at sportsline.com.
Helpful sites with interest in football and sports betting include:
https://github.com/fivethirtyeight/nfl-elo-game
http://www.repole.com/sun4cast/data.html
https://www.pro-football-reference.com/
https://github.com/jp-wright/nfl_betting_market_analysis
http://www.aussportsbetting.com/data/historical-nfl-results-and-odds-data/
Can you build a predictive model to better predict NFL game outcomes and identify successful betting strategies?
--- Original source retains full ownership of the source dataset ---