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 ---
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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 esports-betting-odds.com (Domain). Get insights into ownership history and changes over time.
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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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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 golf-betting-lines.com (Domain). Get insights into ownership history and changes over time.
Our NFL Data product offers extensive access to historic and current National Football League statistics and results, available in multiple formats. Whether you're a sports analyst, data scientist, fantasy football enthusiast, or a developer building sports-related apps, this dataset provides everything you need to dive deep into NFL performance insights.
Key Benefits:
Comprehensive Coverage: Includes historic and real-time data on NFL stats, game results, team performance, player metrics, and more.
Multiple Formats: Datasets are available in various formats (CSV, JSON, XML) for easy integration into your tools and applications.
User-Friendly Access: Whether you are an advanced analyst or a beginner, you can easily access and manipulate data to suit your needs.
Free Trial: Explore the full range of data with our free trial before committing, ensuring the product meets your expectations.
Customizable: Filter and download only the data you need, tailored to specific seasons, teams, or players.
API Access: Developers can integrate real-time NFL data into their apps with API support, allowing seamless updates and user engagement.
Use Cases:
Fantasy Football Players: Use the data to analyze player performance, helping to draft winning teams and make better game-day decisions.
Sports Analysts: Dive deep into historical and current NFL stats for research, articles, and game predictions.
Developers: Build custom sports apps and dashboards by integrating NFL data directly through API access.
Betting & Prediction Models: Use data to create accurate predictions for NFL games, helping sportsbooks and bettors alike.
Media Outlets: Enhance game previews, post-game analysis, and highlight reels with accurate, detailed NFL stats.
Our NFL Data product ensures you have the most reliable, up-to-date information to drive your projects, whether it's enhancing user experiences, creating predictive models, or simply enjoying in-depth football analysis.
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Explore the historical Whois records related to bettingodds.com (Domain). Get insights into ownership history and changes over time.
Brazil were given the highest odds by bookmakers of winning the 2022 World Cup ahead of the tournament, with an estimated probability of 20 percent or 4/1 odds. The team with the second-highest odds was France, with 20 percent or 6/1 odds. Further details of the odds of all teams listed can be found in the supplementary notes.
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Explore the historical Whois records related to cricket-bettingodds.com (Domain). Get insights into ownership history and changes over time.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This study uses prediction market data from the nation’s historical election betting markets to measure electoral competition in the American states during the era before the advent of scientific polling. Betting odds data capture ex ante expectations of electoral closeness in the aggregate, and as such improve upon existing measures of competition based on election returns data. Situated in an analysis of the1896 presidential election and its associated realignment, I argue that the market odds data show that people were able to anticipate the realignment and that expectations on the outcome in the states influenced voter turnout. Findings show that a month ahead of the election betting markets accurately forecast a McKinley victory in most states. This study further demonstrates that the market predictions identify those states where electoral competition would increase or decline that year and the consequences of these expected partisanship shifts on turnout. In places where the anticipation was for a close race voter expectations account for a turnout increase of as much as 6%. Participation dropped by 1% to 6% in states perceived as becoming electorally uncompetitive. The results support the conversion and dealignment theories from the realignment literature.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 3.47(USD Billion) |
MARKET SIZE 2024 | 4.09(USD Billion) |
MARKET SIZE 2032 | 15.2(USD Billion) |
SEGMENTS COVERED | Type ,Data Source ,Application ,End User ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | 1 Growing demand for realtime sports data analytics 2 Increasing adoption of cloudbased sports data platforms 3 Rise of sports betting and fantasy sports 4 Growing use of AI and machine learning in sports data analysis |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Sportradar AG ,Stats Perform ,Genius Sports ,Sportradar US ,Sportradar ,Opta Sports |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Indepth Player Analytics Realtime performance tracking and advanced metrics for player evaluation and optimization Enhanced Fan Engagement Personalized content interactive experiences and datadriven insights to deepen fan engagement Betting and Gambling Provision of standardized data for betting platforms and sportsbooks enabling accurate odds and enhanced user experience Sports Education and Coaching Access to data and insights for player development training optimization and tactical analysis Media and Entertainment Integration of sports data into live broadcasts documentaries and other content for improved storytelling and analysis |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 17.84% (2025 - 2032) |
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
While forecasting football match results has long been a popular topic, a practical model for football participants, such as coaches and players, has not been considered in great detail. In this study, we propose a generalized and interpretable machine learning model framework that only requires coaches’ decisions and player quality features for forecasting. By further allowing the model to embed historical match statistics, features that consist of significant information, during the training process the model was practical and achieved both high performance and interpretability. Using five years of data (over 1,700 matches) from the English Premier League, our results show that our model was able to achieve high performance with an F1-score of 0.47, compared to the baseline betting odds prediction, which had an F1-score of 0.39. Moreover, our framework allows football teams to adapt for tactical decision-making, strength and weakness identification, formation and player selection, and transfer target validation. The framework in this study would have proven the feasibility of building a practical match result forecast framework and may serve to inspire future studies.
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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 ---