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  1. d

    Sports - Cricket: Year- and Match-wise Scores, Winners, Victory Margins and...

    • dataful.in
    Updated Feb 13, 2025
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    Dataful (Factly) (2025). Sports - Cricket: Year- and Match-wise Scores, Winners, Victory Margins and Season Winners in ODI World Cups, since 1975 [Dataset]. https://dataful.in/datasets/5809
    Explore at:
    application/x-parquet, xlsx, csvAvailable download formats
    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    Countries of the World
    Variables measured
    Matches
    Description

    The dataset contains year- and match-wise historical data on each match played in all the world cups since 1975. The specifics of data contained of each match includes year in which world cup was held, venue, first and second batting teams, their scores, results, winners, winning margins by number of runs or wickets, types of match, such as league match, quarter finals, semi finals, finals, etc, along with names of host country and season winner.

  2. International Cricket Players Dataset 🏏

    • kaggle.com
    Updated Dec 29, 2023
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    Kashish Parmar (2023). International Cricket Players Dataset 🏏 [Dataset]. https://www.kaggle.com/datasets/kashishparmar02/international-cricket-players-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 29, 2023
    Dataset provided by
    Kaggle
    Authors
    Kashish Parmar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    About This Dataset: Explore the dynamic world of international cricket with this comprehensive dataset featuring players from A to Z. Dive into the rich details of each player, including their birthdates, country of origin, and performance statistics in Test, ODI, and T20 formats. Whether you're a cricket enthusiast, analyst, or simply curious about the global cricket landscape, this dataset provides a valuable resource for understanding the diverse profiles of cricket players across different nations. Uncover trends, compare player performances, and gain insights into the fascinating world of cricket through this meticulously curated dataset. 🌐🏏

    Key Features

    Column NameDescriptionExample Values
    NamePlayer's full nameL F Kline
    Date_Of_BirthPlayer's date of birth29/09/1934
    CountryPlayer's country of originAustralia
    TestNumber of Test matches played13
    ODINumber of ODI matches played (N/A if not played)N/A
    T20Number of T20 matches played (N/A if not played)N/A

    How to Use This Dataset:

    1. Exploring Player Profiles:

      • Use the "Name" column to identify specific players.
      • Utilize "Date_Of_Birth" for understanding the age of each player.
      • Explore "Country" to analyze the diversity of players from different nations.
    2. Analyzing Performance Statistics:

      • Examine "Test," "ODI," and "T20" columns to understand the number of matches played in each format.
      • Identify trends by comparing statistics across players or countries.
    3. Filtering Data:

      • Use filtering mechanisms to focus on specific subsets of players based on criteria such as country, age, or playing format.
    4. Missing Data Handling:

      • Note that "N/A" in "ODI" and "T20" columns indicates that the player hasn't played matches in these formats.
    5. Visualizations:

      • Create visualizations, such as bar charts or scatter plots, to represent player distributions, age trends, or performance comparisons.
    6. Statistical Analysis:

      • Conduct statistical analyses to identify patterns or correlations between variables.
    7. Contributions and Feedback:

      • If you find interesting insights or have suggestions for improvement, consider contributing your analyses or providing feedback.
    8. Acknowledgments:

      • If you use this dataset in your work, acknowledge the source and any applicable terms of use.
  3. h

    cricket-dataset

    • huggingface.co
    Updated Feb 20, 2025
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    Akshitha Morigadi (2025). cricket-dataset [Dataset]. https://huggingface.co/datasets/Akshitha-M/cricket-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 20, 2025
    Authors
    Akshitha Morigadi
    Description

    Akshitha-M/cricket-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

  4. g

    Cricket Shots Dataset

    • gts.ai
    json
    Updated Apr 12, 2024
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    GTS (2024). Cricket Shots Dataset [Dataset]. https://gts.ai/dataset-download/cricket-shots-dataset/
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 12, 2024
    Dataset provided by
    GLOBOSE TECHNOLOGY SOLUTIONS PRIVATE LIMITED
    Authors
    GTS
    License

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

    Description

    This dataset is a collection of images from the internet, played really amazing player (So, can hope for perfection in shots).

  5. R

    Cricket Dataset

    • universe.roboflow.com
    zip
    Updated Oct 25, 2022
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    newruns (2022). Cricket Dataset [Dataset]. https://universe.roboflow.com/newruns/cricket-aclld/model/10
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 25, 2022
    Dataset authored and provided by
    newruns
    License

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

    Variables measured
    Cricket Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Sports Training & Improvement: Coaches or players can use the images from the "Cricket" model to study cricket playing styles, strategies, and techniques. The model can identify cricket equipment, players, and positions helping sportspersons analyze game practices.

    2. Sports Journalism & Broadcasting: The model can be used by sports broadcasting networks to automatically analyze and tag certain moments of a cricket match, such as a player's stance, delivery style, or field settings. This can provide real-time insights and stats during live broadcast.

    3. E-commerce: Online sports retailers can use this model to create more accurate items' descriptions, tag their cricket product images for easier searchability, and improve user experience.

    4. Gaming and Virtual Reality: Computer game developers can use this model to create more realistic and detailed cricket games. The AI model can help model the movements of players, the trajectory of the cricket ball, and other nuances of the sport.

    5. Security and Surveillance: In stadiums or sports facilities, the model can be used to monitor crowd behavior during a cricket match assisting security personnel's activities. It can detect any potential unauthorized field intrusions or unwanted activities.

    Note: Please consider the data example given, it mentions a blurry image of a group of fish, which doesn't align with the described use cases. It seems like it belongs to a different dataset. Please verify and provide correct data samples.

  6. Cricket Ball by Ball Dataset

    • kaggle.com
    Updated Jan 10, 2025
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    Sahil Tailor (2025). Cricket Ball by Ball Dataset [Dataset]. https://www.kaggle.com/datasets/sahiltailor/cricket-ball-by-ball-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 10, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sahil Tailor
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    UPVOTE is appreciation!

    2024 Ball by Ball Dataset

    SA20 2025 | SA20 2024 | SA20 2023

    ILT20 2025 | ILT20 2024 | ILT20 2023

    BGT 2024-25

    IPL 2024

    All 2024 Cricket Series ball by ball dataset available

    Any Queries or requirements, Please feel free to share them with me!!

    Author - Sahil Tailor

  7. Z

    Data set for ODI cricket matches from 1987 to 2023 (extracted from ESPN...

    • data.niaid.nih.gov
    Updated Jun 19, 2024
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    Mullick, Pratik (2024). Data set for ODI cricket matches from 1987 to 2023 (extracted from ESPN Cricinfo) and code (R) used for a statistical study [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_12172716
    Explore at:
    Dataset updated
    Jun 19, 2024
    Dataset authored and provided by
    Mullick, Pratik
    License

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

    Description

    Here I present the data and code that has been used to study the statistical evolution of ODI cricket. The preprint for this research is available at:

    https://doi.org/10.48550/arXiv.2406.11652

    Focus to learn more

  8. T20 Cricket World Cup titles 2007-2024, by country

    • statista.com
    Updated Jul 1, 2024
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    T20 Cricket World Cup titles 2007-2024, by country [Dataset]. https://www.statista.com/statistics/1066833/t20-cricket-world-cup-titles-team/
    Explore at:
    Dataset updated
    Jul 1, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The ICC Men's T20 World Cup first took place in 2007 and has been held on a two or four-year basis ever since. The West Indies, England, and India are the most successful teams in the history of the tournament, having all lifted the trophy on two occasions. India won the most recent T20 World Cup in 2024, beating South Africa in the final.

  9. Cricket Videos of Legal, Wide, LBW and No Balls

    • kaggle.com
    Updated Jul 12, 2023
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    Shujaan Azhar (2023). Cricket Videos of Legal, Wide, LBW and No Balls [Dataset]. https://www.kaggle.com/datasets/shujaanazhar/cricket-videos-of-legal-wide-lbw-and-no-balls
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 12, 2023
    Dataset provided by
    Kaggle
    Authors
    Shujaan Azhar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The videos have been used in the training and testing of model for detecting Legal Balls, and Wide Balls. Some videos are already augmented with flipping rotation in horizontal direction. The dataset ahs been split in train and test making it easier to use. The videos format is mp4.

  10. H

    Cricket Match Data: Scraped HTML Files from ESPNCricInfo

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Mar 7, 2020
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    Gaurav Sood (2020). Cricket Match Data: Scraped HTML Files from ESPNCricInfo [Dataset]. http://doi.org/10.7910/DVN/ZE88E5
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 7, 2020
    Dataset provided by
    Harvard Dataverse
    Authors
    Gaurav Sood
    License

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

    Description

    Underlying Github Repo: https://github.com/soodoku/get-cricket-data HTML Files

  11. h

    cricket

    • huggingface.co
    Updated Apr 20, 2024
    + more versions
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    cricket [Dataset]. https://huggingface.co/datasets/lallantop/cricket
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 20, 2024
    Dataset authored and provided by
    Lallan Top
    Description

    lallantop/cricket dataset hosted on Hugging Face and contributed by the HF Datasets community

  12. ICC Cricket dataset

    • kaggle.com
    Updated Jul 13, 2024
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    MKRISHNAHARI (2024). ICC Cricket dataset [Dataset]. https://www.kaggle.com/datasets/mkrishnahari/icc-cricket-dataset/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 13, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    MKRISHNAHARI
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Dataset

    This dataset was created by MKRISHNAHARI

    Released under MIT

    Contents

  13. R

    Cricket Dataset

    • universe.roboflow.com
    zip
    Updated Feb 20, 2025
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    Manoj (2025). Cricket Dataset [Dataset]. https://universe.roboflow.com/manoj-po9vp/cricket-pgaxx/dataset/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    Manoj
    License

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

    Variables measured
    Players
    Description

    Cricket

    ## Overview
    
    Cricket is a dataset for classification tasks - it contains Players annotations for 6,929 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  14. R

    Datasets Mole Cricket Dataset

    • universe.roboflow.com
    zip
    Updated Jan 21, 2024
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    detectionnienluan (2024). Datasets Mole Cricket Dataset [Dataset]. https://universe.roboflow.com/detectionnienluan/datasets-mole-cricket/dataset/2
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 21, 2024
    Dataset authored and provided by
    detectionnienluan
    License

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

    Variables measured
    Mole Cricket Bounding Boxes
    Description

    Datasets Mole Cricket

    ## Overview
    
    Datasets Mole Cricket is a dataset for object detection tasks - it contains Mole Cricket annotations for 250 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  15. h

    odi-cricket-dataset-1971-2014

    • huggingface.co
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    Bhuvanesh Prasad, odi-cricket-dataset-1971-2014 [Dataset]. https://huggingface.co/datasets/bhuvaneshprasad/odi-cricket-dataset-1971-2014
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Authors
    Bhuvanesh Prasad
    Description

    bhuvaneshprasad/odi-cricket-dataset-1971-2014 dataset hosted on Hugging Face and contributed by the HF Datasets community

  16. Cricket Pitches SDCC - Dataset - data.gov.ie

    • data.gov.ie
    Updated May 27, 2022
    + more versions
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    data.gov.ie (2022). Cricket Pitches SDCC - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/cricket-pitches-sdcc1
    Explore at:
    Dataset updated
    May 27, 2022
    Dataset provided by
    data.gov.ie
    License

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

    Description

    Location of Cricket Pitches within SDCC County. Point data identifying location and name included.

  17. D

    Cricket Analysis Software Market Research Report 2032

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Cricket Analysis Software Market Research Report 2032 [Dataset]. https://dataintelo.com/report/global-cricket-analysis-software-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Cricket Analysis Software Market Outlook



    In 2023, the global cricket analysis software market size was valued at approximately USD 1.2 billion and is projected to grow to around USD 3.5 billion by 2032, registering a compound annual growth rate (CAGR) of approximately 12.5% during the forecast period. The primary growth factor driving this market is the increasing demand for data-driven decision-making in sports to enhance player and team performance.



    The significant growth in the cricket analysis software market is largely driven by the increasing adoption of advanced technologies in sports. Cricket teams worldwide are increasingly relying on data analytics to gain a competitive edge. The inclusion of detailed performance metrics and real-time analysis helps coaches and players make informed decisions, thus improving their game strategies and overall performance. This growing reliance on data-driven insights is a crucial factor contributing to the market's expansion.



    Another critical growth factor is the rising popularity of cricket globally. Cricket is no longer confined to just a few countries; it has garnered a substantial following in regions such as North America and parts of Europe. This expansion has led to increased investments in cricket infrastructure, including training facilities equipped with the latest analytical software. Furthermore, the advent of various cricket leagues and tournaments has amplified the need for advanced performance analysis tools, thereby driving market growth.



    Technological advancements and innovations in software capabilities are also playing a significant role in market growth. Modern cricket analysis software offers features such as high-definition video analysis, 3D visualization, and predictive analytics. These sophisticated tools enable a more comprehensive analysis of player techniques and team strategies. The integration of artificial intelligence (AI) and machine learning (ML) in these software solutions is further enhancing their effectiveness, making them indispensable for professional and amateur teams alike.



    From a regional perspective, the Asia-Pacific region holds a substantial market share, primarily due to the enormous popularity of cricket in countries like India, Australia, and Pakistan. The region is also experiencing rapid technological advancements and increased investments in sports infrastructure. North America and Europe are emerging markets, showing significant potential due to the growing interest in cricket and the adoption of advanced analytical tools. These regions are expected to witness robust growth rates over the forecast period.



    Cricket and Field Hockey share a rich history and cultural significance in many regions around the world. Both sports have evolved significantly over the years, with cricket often being considered a gentleman's game, while field hockey is known for its fast-paced and dynamic nature. The strategic elements inherent in both sports have led to the adoption of data analytics to enhance performance and strategy. As cricket continues to grow globally, field hockey is also seeing a resurgence in popularity, particularly in countries where it has been a traditional sport. The use of technology in these sports is not only improving player performance but also enriching the spectator experience by providing deeper insights into the games.



    Component Analysis



    The cricket analysis software market is segmented into Software and Services. The Software segment includes various types of analysis tools and platforms designed to collect and interpret data related to player and team performance. These software solutions offer a range of features from basic statistical analysis to advanced machine learning algorithms capable of predicting player performance and match outcomes. The growing demand for such sophisticated tools is a significant driver for this segment, as teams seek to gain a competitive edge through data-driven insights.



    Within the Software segment, real-time data analytics is becoming increasingly popular. This involves the use of high-speed cameras, sensors, and other data collection devices to provide instantaneous feedback during matches and training sessions. Real-time data allows coaches and players to make immediate adjustments, thereby enhancing performance. The continuous evolution of software technologies, including the integration of AI and ML, is expected to further propel the growth of this

  18. h

    cricket

    • huggingface.co
    Updated May 9, 2024
    + more versions
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    Samhit Mantrala (2024). cricket [Dataset]. https://huggingface.co/datasets/samhitmantrala/cricket
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 9, 2024
    Authors
    Samhit Mantrala
    Description

    samhitmantrala/cricket dataset hosted on Hugging Face and contributed by the HF Datasets community

  19. m

    Global Cricket Analysis Software Market Size, Trends and Projections

    • marketresearchintellect.com
    Updated Jun 14, 2024
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    Market Research Intellect® | Market Analysis and Research Reports (2024). Global Cricket Analysis Software Market Size, Trends and Projections [Dataset]. https://www.marketresearchintellect.com/product/cricket-analysis-software-market/
    Explore at:
    Dataset updated
    Jun 14, 2024
    Dataset authored and provided by
    Market Research Intellect® | Market Analysis and Research Reports
    License

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

    Area covered
    Global
    Description

    The market size of the Cricket Analysis Software Market is categorized based on Type (Fielding, Batting, Bowling, Others) and Application (Sports Associations, Coaching Institutes) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

    This report provides insights into the market size and forecasts the value of the market, expressed in USD million, across these defined segments.

  20. h

    cricket-commentary

    • huggingface.co
    Updated Aug 18, 2023
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    Nirmalkumar Pajany (2023). cricket-commentary [Dataset]. https://huggingface.co/datasets/nirmalkumar/cricket-commentary
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 18, 2023
    Authors
    Nirmalkumar Pajany
    Description

    nirmalkumar/cricket-commentary dataset hosted on Hugging Face and contributed by the HF Datasets community

Share
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Dataful (Factly) (2025). Sports - Cricket: Year- and Match-wise Scores, Winners, Victory Margins and Season Winners in ODI World Cups, since 1975 [Dataset]. https://dataful.in/datasets/5809

Sports - Cricket: Year- and Match-wise Scores, Winners, Victory Margins and Season Winners in ODI World Cups, since 1975

Explore at:
application/x-parquet, xlsx, csvAvailable download formats
Dataset updated
Feb 13, 2025
Dataset authored and provided by
Dataful (Factly)
License

https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

Area covered
Countries of the World
Variables measured
Matches
Description

The dataset contains year- and match-wise historical data on each match played in all the world cups since 1975. The specifics of data contained of each match includes year in which world cup was held, venue, first and second batting teams, their scores, results, winners, winning margins by number of runs or wickets, types of match, such as league match, quarter finals, semi finals, finals, etc, along with names of host country and season winner.