About this Dataset

Trying to analyze historical betting odds for whether MLB games will go over or under the betting line? This dataset is for you. More than 13,000 rows include data for all games played between 2013 and 2018.

Category

Sports

Keywords

baseball,mlb,Betting,odds,probability

Row Count

13162

Price

$100.00

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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Sports Betting Predictive Analysis Dataset

This comprehensive synthetic dataset contains 1,369 rows and 10 columns specifically designed for predictive modeling in sports betting analytics. The dataset provides a rich foundation for machine learning applications in the sports betting domain, featuring realistic match data across multiple sports with comprehensive betting odds, team information, and outcome predictions.

Dataset Overview Table

Key Applications

Machine Learning Use Cases

• Outcome Prediction Models: Train classification algorithms to predict match winners
• Odds Analysis: Analyze betting market efficiency and identify value bets
• Feature Engineering: Create derived features for advanced predictive models
• Model Validation: Compare predicted vs actual outcomes for performance metrics
• Risk Assessment: Evaluate betting strategy performance and risk management

Data Science Applications

• Exploratory Data Analysis: Understand patterns in sports betting markets
• Statistical Modeling: Build probabilistic models for outcome prediction
• Time Series Analysis: Analyze temporal trends in betting odds and outcomes
• Comparative Analysis: Study performance differences across sports and teams
• Visualization Projects: Create interactive dashboards for betting analytics

Research Applications

• Academic Research: Study sports betting market dynamics
• Algorithm Development: Test new machine learning approaches
• Benchmarking: Compare different predictive modeling techniques
• Educational Projects: Learn data science concepts with realistic data
• Portfolio Development: Demonstrate skills in sports analytics domain

Data Characteristics

Realistic Market Simulation

• Betting odds within industry-standard ranges (1.2 - 5.0)
• Sport-specific logic (draws only applicable for Football and Hockey)
• Strategic null value placement to simulate real-world data gaps
• Temporal consistency across 2-year historical period
• Unique match identifiers for easy reference and tracking

Comprehensive Coverage

• Multi-Sport Analysis: Five major sports for diverse modeling scenarios
• Balanced Distribution: Even representation across all sports categories
• Team Diversity: Unique city-based team names preventing data leakage
• Outcome Variety: Includes wins, losses, and draws where applicable
• Prediction Comparison: Both model predictions and actual results included

Global Online Sports Betting Market size was USD 54.56 billion in 2023 and is grow to around USD 142.56 billion by 2032 with a CAGR of roughly 10.5%.

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Snapshot img

Sports Betting Market Size 2025-2029

The sports betting market size is valued to increase by USD 221.1 billion, at a CAGR of 12.6% from 2024 to 2029. Digital revolution will drive the sports betting market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 33% growth during the forecast period.
By Platform - Online segment was valued at USD 101.20 billion in 2023
By Type - Basketball segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 162.64 billion
Market Future Opportunities: USD 221.10 billion
CAGR from 2024 to 2029 : 12.6%

Market Summary

The market is a dynamic and complex industry, fueled by the intersection of technology and human passion for sports. With an estimated global value of USD155 billion in 2020, this market's growth is driven by the increasing popularity of online betting platforms and the integration of advanced technologies like machine learning. These innovations enable personalized user experiences, real-time data analysis, and more accurate odds calculation. However, the industry faces significant challenges, including stringent government regulations and restrictions. For instance, in some regions, sports betting remains illegal or heavily regulated, limiting market growth potential. Additionally, concerns over problem gambling and match-fixing continue to shape the regulatory landscape.
Despite these hurdles, the future of sports betting looks promising. Technological advancements, such as blockchain and virtual reality, are poised to revolutionize the industry further. As these developments unfold, businesses must adapt and innovate to stay competitive in this rapidly evolving market.

What will be the Size of the Sports Betting Market during the forecast period?

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How is the Sports Betting Market Segmented ?

The sports betting industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Platform

  Online
  Offline


Type

  Basketball
  Horse riding
  Football
  Others


Betting Type

  Fixed Odds Wagering
  Exchange Betting
  Live/In-Play Betting
  eSports Betting


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    Australia
    China
    India
    Japan


  Rest of World (ROW)

By Platform Insights

The online segment is estimated to witness significant growth during the forecast period.

The market is in a constant state of evolution, fueled by technological advancements and regulatory changes. The online betting segment, in particular, is thriving, driven by factors such as the expansion of the overall market, the increasing availability of mobile platforms due to Internet and smartphone penetration, and the structural migration of customers from retail to online betting in emerging markets. Technological innovations include advanced responsible gambling tools, payment gateway integration, customer support ticketing, win probability models, AML compliance software, data visualization tools, and bonus claim processes. Regulatory compliance checks, in-play betting data, sports data providers, geofencing technology, KYC compliance protocols, account management features, transaction processing speed, withdrawal processing times, real-time data feeds, betting exchange liquidity, deposit method integrations, user engagement metrics, customer identity verification, live streaming integration, mobile betting platforms, data analytics dashboards, risk management models, CRM system integration, betting platform security, fraud detection systems, user experience design, player segmentation strategies, and more.

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The Online segment was valued at USD 101.20 billion in 2019 and showed a gradual increase during the forecast period.

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Regional Analysis

APAC is estimated to contribute 33% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

See How Sports Betting Market Demand is Rising in APAC Request Free Sample

The Asia-Pacific (APAC) region is poised to lead The market due to its rapid expansion and significant population base. Comprising over 60% of the world's population, APAC is a burgeoning market with an increasing number of digital platforms and the adoption of online betting. Key factors contributing to this growth include the presence of gambling hubs like Macau and the rising disposable income of the population.

APAC's dominance in the global sports betting landscape is further reinforced

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Yearly growth chart for sports betting in US states, including handle, revenue, and growth metrics

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Ebitda Time Series for Intralot S.A. Integrated Lottery Systems and Services. Intralot S.A. Integrated Lottery Systems and Services supplies integrated gaming and transaction processing systems, game content, sports betting management, and interactive gaming services to state-licensed gaming organizations in Greece and internationally. The company offers LotosX, an open and modular ecosystem that enables operators to offer gaming services; LotosXi, a solution for digital lotteries; INTRALOT Orion, a sports betting platform; INTRALOT GMS, an integrated solution for monitoring and controlling large-scale gaming networks; and INTRALOT Gaming License System, an integrated platform that offers gaming regulators end-to-end processing and workflow management for various gaming licensing processes. It also provides Lottery Next, a digital lottery and sports betting purchasing experience for customers in retail locations; ScannPlay, a digital lottery and betting in-store customer experience that supports unregistered player participation, as well as allows players to place their bet, pay, and receive a digital e-ticket in their mobile without having to touch paper or money; and TapnBet, an impulse betting which uses vending machine or self-service terminal to help less experienced users browse among the games. The company is also involved in the design, organization, and/or management of games; advertising and sales promotion activities; and establishment of sales network. In addition, it provides risk management for fixed odds games, etc.; game operating services; and installation, technical support, and maintenance services to lotteries. Intralot S.A. Integrated Lottery Systems and Services was incorporated in 1992 and is based in Paiania, Greece.

During a 2024 survey, it was found that the most common sport or league bet on by student athletes in the United States was the National Football League (NFL). In total, 43 percent of male student athletes and 13 percent of female student athletes bet on the NFL.

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Bank lending-deposit spread in Thailand was reported at 2.6708 % in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Thailand - Bank lending-deposit spread - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

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