4 datasets found
  1. d

    Odds & Betting Data | Global Coverage | Soccer, Tennis, Basketball |...

    • datarade.ai
    .bin
    Updated Apr 11, 2025
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    VOdds (2025). Odds & Betting Data | Global Coverage | Soccer, Tennis, Basketball | Historical Data [Dataset]. https://datarade.ai/data-products/odds-betting-data-global-coverage-soccer-tennis-baske-vodds
    Explore at:
    .binAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    VOdds
    Area covered
    Slovenia, Senegal, Zimbabwe, Mali, Jersey, Malawi, Guadeloupe, Northern Mariana Islands, Svalbard and Jan Mayen, Guinea-Bissau
    Description

    The UNITY Odds Feed API – Historical Data Access offers a rich dataset of sports betting odds, covering a global array of leagues and events. This API enables users to retrieve detailed historical odds for both pre-match and live/in-play markets. It includes specific betting metrics such as Asian Handicap, Totals (Over/Under), Corners, and Cards, with data sourced from numerous major Asian sportsbooks and exchanges.

    This historical feed is particularly well-suited for:

    Data scientists and analysts building predictive models

    Sportsbooks improving odds-making strategies

    Media platforms generating betting insights

    Researchers analyzing market efficiency and odds movement

    Key Features: Pre-match and In-play Odds: Track how betting lines moved before and during events.

    Multi-Sport Coverage: Includes football (soccer), basketball, and tennis—spanning top leagues like the Premier League, NBA, and Grand Slam tournaments.

    Market Breadth: Extensive odds data for niche markets such as corners and cards.

    Bookmaker Diversity: Historical odds from a wide range of Asian bookmakers and betting exchanges with low spreads and back/lay functionality.

    Structured & Filterable: Access raw or formatted data by sport, league, event, or market.

    This API delivers the tools needed to extract meaningful insights from betting markets—whether you're building advanced algorithms, enhancing app features, or deep-diving into betting behavior trends.

  2. Share of NBA fans placing bets in the past year in the U.S. in 2024, by age

    • statista.com
    Updated Jul 11, 2024
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    Statista (2024). Share of NBA fans placing bets in the past year in the U.S. in 2024, by age [Dataset]. https://www.statista.com/statistics/1478741/nba-fans-placing-bets-age-us/
    Explore at:
    Dataset updated
    Jul 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    United States
    Description

    A January 2024 survey in the United States revealed that the highest proportion of fans who placed bets on basketball in the past 12 months were aged between 25 and 34. Meanwhile, only 4.3 percent of fans aged 65 or over placed bets.

  3. NBA Head Coaches

    • kaggle.com
    Updated Aug 28, 2020
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    Jacob Baruch (2020). NBA Head Coaches [Dataset]. https://www.kaggle.com/jacobbaruch/nba-head-coaches/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 28, 2020
    Dataset provided by
    Kaggle
    Authors
    Jacob Baruch
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Content

    The data contains two files:

    1. NBA coach of the year recipients - since 1963

    data: Year, Team, Season / Playoff / Career Records, Birth-date, Birthplace, Experiment years
    

    2. Historical NBA Head Coaches - since 1947

    data: general info [Name, Birth Date] and data that can be used to statistic [start season, End season, Years in play, Number of teams]
    

    you can fin the scraping code in GitHub

    Acknowledgements

    NBA coach of the Year data scrapped from ESPN Historical Data scrapped from basketball RealGM Photo from sports insight

  4. Sports U.S. consumers prefer to place bets on 2017

    • statista.com
    Updated Jul 10, 2025
    + more versions
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    Statista (2025). Sports U.S. consumers prefer to place bets on 2017 [Dataset]. https://www.statista.com/statistics/661695/most-popular-sports-for-betting-on-in-us/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 6, 2017 - Jan 14, 2017
    Area covered
    United States
    Description

    This statistic shows most popular sports for betting in the United States in 2017 according to a Statista survey. ** percent of survey respondents said they had placed bets on football in the past.

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Share
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Click to copy link
Link copied
Close
Cite
VOdds (2025). Odds & Betting Data | Global Coverage | Soccer, Tennis, Basketball | Historical Data [Dataset]. https://datarade.ai/data-products/odds-betting-data-global-coverage-soccer-tennis-baske-vodds

Odds & Betting Data | Global Coverage | Soccer, Tennis, Basketball | Historical Data

Explore at:
.binAvailable download formats
Dataset updated
Apr 11, 2025
Dataset authored and provided by
VOdds
Area covered
Slovenia, Senegal, Zimbabwe, Mali, Jersey, Malawi, Guadeloupe, Northern Mariana Islands, Svalbard and Jan Mayen, Guinea-Bissau
Description

The UNITY Odds Feed API – Historical Data Access offers a rich dataset of sports betting odds, covering a global array of leagues and events. This API enables users to retrieve detailed historical odds for both pre-match and live/in-play markets. It includes specific betting metrics such as Asian Handicap, Totals (Over/Under), Corners, and Cards, with data sourced from numerous major Asian sportsbooks and exchanges.

This historical feed is particularly well-suited for:

Data scientists and analysts building predictive models

Sportsbooks improving odds-making strategies

Media platforms generating betting insights

Researchers analyzing market efficiency and odds movement

Key Features: Pre-match and In-play Odds: Track how betting lines moved before and during events.

Multi-Sport Coverage: Includes football (soccer), basketball, and tennis—spanning top leagues like the Premier League, NBA, and Grand Slam tournaments.

Market Breadth: Extensive odds data for niche markets such as corners and cards.

Bookmaker Diversity: Historical odds from a wide range of Asian bookmakers and betting exchanges with low spreads and back/lay functionality.

Structured & Filterable: Access raw or formatted data by sport, league, event, or market.

This API delivers the tools needed to extract meaningful insights from betting markets—whether you're building advanced algorithms, enhancing app features, or deep-diving into betting behavior trends.

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