3 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, Zimbabwe, Malawi, Mali, Jersey, Guadeloupe, Guinea-Bissau, Senegal, Svalbard and Jan Mayen, Northern Mariana Islands
    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. o

    Emma Raducanu

    • opendatabay.com
    • kaggle.com
    .other
    Updated Jun 24, 2025
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    Datasimple (2025). Emma Raducanu [Dataset]. https://www.opendatabay.com/data/ai-ml/e64d1a47-e58f-4a43-b62d-eb825fe94df6
    Explore at:
    .otherAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Datasimple
    License

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

    Area covered
    Entertainment & Media Consumption
    Description

    Context I collect recent tweets about Emma Raducanu, winner of women US Open 2021. The teen Brit with Romanian and Chinese parents, born in Canada and arrived in Great Britain at 2 years old, stormed the US event from qualifiers, playing 10 games without losing one single set (20 sets won in a row). She is the first British woman to win a Grand Slam since 1977 (Virginia Wade), the first women in US Open history to win the event from the qualifiers. She jumped more than 120 points in the ranking to land on 23rd position. She is also a very good student, landing A grades in mathematics and economy (her preferred domains) in her selective grammar school from south London.

    Data collection The data is collected using tweepy Python package to access Twitter API. I use a relevant search term for the topic (#EmmaRaducanu).

    Data collection frequency The data is collected continuously using a script that collects a small number of recent tweets (using Twitter API and tweepy). The dataset obtained at each sampling time step is merged with current (or previously collected) dataset and stored dataset in csv format is saved on disk. Once or several times per day the currently accumulated dataset is uploaded on Kaggle as a new version of the tweets dataset.

    Inspiration You can perform multiple operations on the tweets about this British teen with meteoric ascension at US Open 2021. Here are few possible suggestions:

    Study the subjects of recent tweets about the new US Open champion or about tennis; Perform various NLP tasks on this data source (topic modelling, sentiment analysis); Can you identify tweets about tennis women, British athletes or US Open? Follow the trends in the news about tennis, US Open or Emma; Perform sentiment analysis on the tweets corpus but also split on topics, countries etc. Study the hashtags (associated to the tweets) distribution.

    License

    CC0

    Original Data Source: Emma Raducanu

  3. d

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

    • datarade.ai
    .bin
    Updated Apr 11, 2025
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    VOdds (2025). Real-Time Odds & Betting Data | Global Coverage | Soccer, Tennis, Basketball [Dataset]. https://datarade.ai/data-products/real-time-odds-betting-data-global-coverage-soccer-ten-vodds-a38b
    Explore at:
    .binAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    VOdds
    Area covered
    Isle of Man, French Polynesia, Saudi Arabia, Mozambique, Aruba, Gabon, Guernsey, Timor-Leste, Cabo Verde, Saint Kitts and Nevis
    Description

    UNITY is a next-generation Odds Feed and Betting API built for the dynamic needs of modern sportsbooks, betting websites, mobile apps, and professional trading teams/individuals. With comprehensive sports coverage—including top leagues in Football (Soccer), Basketball, and Tennis—UNITY provides real-time odds updates and supports seamless in-play betting across a wide range of markets like Asian Handicap, Over/Under Totals, Corners, and Cards.

    The platform combines a robust odds feed with a fully functional Betting API, enabling direct bet placements and full automation of trading strategies. UNITY integrates effortlessly with major Asian bookmakers and betting exchanges, supporting both back and lay positions through a single, central wallet.

    Designed with developers in mind, UNITY includes detailed documentation, code samples, and a staging environment for integration and testing. Its customizable data feed allows users to filter by sport, league, event, or market and choose between raw or formatted content, making it a flexible solution for platforms of any size.

    Backed by technical support and continuous system updates, UNITY ensures your betting operation stays ahead of the curve. Whether you're building a new platform or enhancing an existing one, UNITY delivers the tools and reliability to take your betting experience to the next level.

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Share
FacebookFacebook
TwitterTwitter
Email
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, Zimbabwe, Malawi, Mali, Jersey, Guadeloupe, Guinea-Bissau, Senegal, Svalbard and Jan Mayen, Northern Mariana Islands
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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