13 datasets found
  1. A

    ‘NFL scores and betting data’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Nov 12, 2021
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘NFL scores and betting data’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-nfl-scores-and-betting-data-ccc5/1b0c9830/?iid=056-577&v=presentation
    Explore at:
    Dataset updated
    Nov 12, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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 ---

    Context

    National Football League historic game and betting info

    Content

    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.

    Acknowledgements

    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/

    http://www.espn.com/nfl/

    http://www.nflweather.com/

    http://www.noaa.gov/weather

    https://www.sportsline.com/

    https://github.com/jp-wright/nfl_betting_market_analysis

    http://www.aussportsbetting.com/data/historical-nfl-results-and-odds-data/

    Inspiration

    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 ---

  2. w

    live-football-betting-odds.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
    Updated May 21, 2018
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    AllHeart Web Inc (2018). live-football-betting-odds.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/live-football-betting-odds.com/
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 21, 2018
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Mar 27, 2025
    Description

    Explore the historical Whois records related to live-football-betting-odds.com (Domain). Get insights into ownership history and changes over time.

  3. w

    esports-betting-odds.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, esports-betting-odds.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/esports-betting-odds.com/
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Mar 4, 2025
    Description

    Explore the historical Whois records related to esports-betting-odds.com (Domain). Get insights into ownership history and changes over time.

  4. Vietnam Sports Betting Market Report by Platform (Offline, Online), Betting...

    • imarcgroup.com
    pdf,excel,csv,ppt
    Updated Dec 16, 2023
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    IMARC Group (2023). Vietnam Sports Betting Market Report by Platform (Offline, Online), Betting Type (Fixed Odds Wagering, Exchange Betting, Live/In Play Betting, Pari-Mutuel, eSports Betting, and Others), Sports Type (Football, Basketball, Baseball, Horse Racing, Cricket, Hockey, and Others), and Region 2024-2032 [Dataset]. https://www.imarcgroup.com/vietnam-sports-betting-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Imarc Group
    Authors
    IMARC Group
    License

    https://www.imarcgroup.com/privacy-policyhttps://www.imarcgroup.com/privacy-policy

    Time period covered
    2024 - 2032
    Area covered
    Vietnam, Global
    Description

    Market Overview:

    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.

    Vietnam Sports Betting Market Trends:

    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.

    Vietnam Sports Betting Market Segmentation:

    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:

    Vietnam Sports Betting Market Reporthttps://www.imarcgroup.com/CKEditor/7da755b9-0058-4e24-9c96-31328c655e7evietnam-sports-betting-market-sagment.webp" style="height:450px; width:800px" />

    • Offline
    • Online

    The report has provided a detailed breakup and analysis of the market based on the platform. This includes offline and online.

    Betting Type Insights:

    • Fixed Odds Wagering
    • Exchange Betting
    • Live/In Play Betting
    • Pari-Mutuel
    • eSports Betting
    • Others

    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:

    • Football
    • Basketball
    • Baseball
    • Horse Racing
    • Cricket
    • Hockey
    • Others

    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:

    Vietnam Sports Betting Market Reporthttps://www.imarcgroup.com/CKEditor/aa952b43-bcb6-4a97-9a7d-0d8c3be8216fvietnam-sports-betting-market-regional.webp" style="height:450px; width:800px" />

    • Northern Vietnam
    • Central Vietnam
    • Southern Vietnam

    The report has also provided a comprehensive analysis of all the major regional markets, which include Northern Vietnam, Central Vietnam, and Southern Vietnam.

    Competitive Landscape:

    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.

    Vietnam Sports Betting Market Report Coverage:

    Report FeaturesDetails
    Base Year of the Analysis2023
    Historical Period2018-2023
    Forecast Period2024-2032
    UnitsUS$ Million
    Scope of the ReportExploration of Historical and Forecast Trends, Industry Catalysts and Challenges, Segment-Wise Historical and Predictive Market Assessment:
    • Platform
    • Betting Type
    • Sports Type
    • Region
    Platforms CoveredOffline, Online
    Betting Types CoveredFixed Odds Wagering, Exchange Betting, Live/In Play Betting, Pari-Mutuel, eSports Betting, Others
    Sports Types CoveredFootball, Basketball, Baseball, Horse Racing, Cricket, Hockey, Others
    Regions CoveredNorthern Vietnam, Central Vietnam, Southern Vietnam
    Customization Scope10% Free Customization
    Report Price and Purchase OptionSingle User License: US$ 3699
    Five User License: US$ 4699
    Corporate License: US$ 5699
    Post-Sale Analyst Support10-12 Weeks
    Delivery FormatPDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

    <h4

  5. Sports Betting Market Report by Platform (Offline, Online), Betting Type...

    • imarcgroup.com
    pdf,excel,csv,ppt
    Updated Jan 16, 2025
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    IMARC Group (2025). Sports Betting Market Report by Platform (Offline, Online), Betting Type (Fixed Odds Wagering, Exchange Betting, Live/In Play Betting, Pari-Mutuel, eSports Betting, and Others), Sports Type (Football, Basketball, Baseball, Horse Racing, Cricket, Hockey, and Others), and Region 2025-2033 [Dataset]. https://www.imarcgroup.com/sports-betting-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    Imarc Group
    Authors
    IMARC Group
    License

    https://www.imarcgroup.com/privacy-policyhttps://www.imarcgroup.com/privacy-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    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 2025-20338.56%

    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.

  6. w

    golf-betting-lines.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
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    AllHeart Web Inc, golf-betting-lines.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/golf-betting-lines.com/
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Mar 22, 2025
    Description

    Explore the historical Whois records related to golf-betting-lines.com (Domain). Get insights into ownership history and changes over time.

  7. d

    NFL Data (Historic Data Available) - Sports Data, National Football League...

    • datarade.ai
    Updated Sep 26, 2024
    + more versions
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    APISCRAPY (2024). NFL Data (Historic Data Available) - Sports Data, National Football League Datasets. Free Trial Available [Dataset]. https://datarade.ai/data-products/nfl-data-historic-data-available-sports-data-national-fo-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Sep 26, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Ireland, Poland, Portugal, Bosnia and Herzegovina, Norway, China, Italy, Lithuania, Iceland, Malta
    Description

    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.

  8. w

    bettingodds.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
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    AllHeart Web Inc, bettingodds.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/bettingodds.com/
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Feb 14, 2025
    Description

    Explore the historical Whois records related to bettingodds.com (Domain). Get insights into ownership history and changes over time.

  9. Bookies favorites to win the FIFA World Cup 2022

    • statista.com
    Updated Sep 10, 2024
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    Statista (2024). Bookies favorites to win the FIFA World Cup 2022 [Dataset]. https://www.statista.com/statistics/1345308/teams-highest-odds-win-world-cup/
    Explore at:
    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2022
    Area covered
    World
    Description

    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.

  10. w

    cricket-bettingodds.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
    Updated Aug 1, 2024
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    AllHeart Web Inc (2024). cricket-bettingodds.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/cricket-bettingodds.com/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 1, 2024
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Feb 7, 2025
    Description

    Explore the historical Whois records related to cricket-bettingodds.com (Domain). Get insights into ownership history and changes over time.

  11. U

    Replication Data for: How the American Public Perceived Electoral...

    • dataverse.unc.edu
    • dataverse-staging.rdmc.unc.edu
    application/x-stata +3
    Updated Jul 1, 2022
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    UNC Dataverse (2022). Replication Data for: How the American Public Perceived Electoral Competition in the States During the Pre-Poll Era: A Prediction Market Data Analysis of the 1896 Presidential Election [Dataset]. http://doi.org/10.15139/S3/X6BYHS
    Explore at:
    application/x-stata(11503), application/x-stata(6147), pdf(137968), application/x-stata(10625), text/x-stata-syntax(4071), txt(8930)Available download formats
    Dataset updated
    Jul 1, 2022
    Dataset provided by
    UNC Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    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.

  12. w

    Global Sports Data Api Market Research Report: By Type (Sports Analytics,...

    • wiseguyreports.com
    Updated Aug 6, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Sports Data Api Market Research Report: By Type (Sports Analytics, Fantasy Sports, Betting Data, Event Data, Player Statistics), By Data Source (Live Telecasts, Player Tracking Systems, Official League Data, Social Media, Wearables), By Application (Performance Analysis, Injury Prevention, Scouting and Recruitment, Fan Engagement, Betting and Fantasy Sports), By End User (Professional Sports Teams, College Sports Programs, Amateur Sports Organizations, Sports Media Companies, Sports Betting and Fantasy Sports Operators) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/cn/reports/sports-data-api-market
    Explore at:
    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20233.47(USD Billion)
    MARKET SIZE 20244.09(USD Billion)
    MARKET SIZE 203215.2(USD Billion)
    SEGMENTS COVEREDType ,Data Source ,Application ,End User ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICS1 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 UNITSUSD Billion
    KEY COMPANIES PROFILEDSportradar AG ,Stats Perform ,Genius Sports ,Sportradar US ,Sportradar ,Opta Sports
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESIndepth 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)
  13. Match statistics’ statistical summary.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 20, 2023
    + more versions
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    Calvin C. K. Yeung; Rory Bunker; Keisuke Fujii (2023). Match statistics’ statistical summary. [Dataset]. http://doi.org/10.1371/journal.pone.0284318.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 20, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Calvin C. K. Yeung; Rory Bunker; Keisuke Fujii
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘NFL scores and betting data’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-nfl-scores-and-betting-data-ccc5/1b0c9830/?iid=056-577&v=presentation

‘NFL scores and betting data’ analyzed by Analyst-2

Explore at:
Dataset updated
Nov 12, 2021
Dataset authored and provided by
Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

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 ---

Context

National Football League historic game and betting info

Content

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.

Acknowledgements

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/

http://www.espn.com/nfl/

http://www.nflweather.com/

http://www.noaa.gov/weather

https://www.sportsline.com/

https://github.com/jp-wright/nfl_betting_market_analysis

http://www.aussportsbetting.com/data/historical-nfl-results-and-odds-data/

Inspiration

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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