3 datasets found
  1. Match Info and Ball by ball data for ODIs

    • kaggle.com
    Updated Oct 11, 2023
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    Subhrajyoti Nath (2023). Match Info and Ball by ball data for ODIs [Dataset]. https://www.kaggle.com/datasets/subhrajyotinath/match-info-and-ball-by-ball-data-for-odis/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 11, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Subhrajyoti Nath
    License

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

    Description

    This dataset encompasses detailed ball-by-ball data and match information for various cricket matches available in cricsheet website. The data provides an in-depth analysis at the granular level, capturing every ball bowled, the runs scored, the type of dismissal, and more.

    1. Ball-by-Ball Data: Includes details like the batting team, over, batter, bowler, runs scored, extras, dismissal information, etc.
    2. Match Info: Contains metadata about the match, like the venue, teams playing, toss decision, match outcome, and other relevant details.

    Acknowledgment: A big shoutout to Cricsheet for making such comprehensive cricket data available to the public. Their open-source initiative has empowered enthusiasts and analysts to understand the game better.

    Data Extraction Process: The raw data was sourced from Cricsheet in JSON format. A systematic extraction process was followed using Python, where each file was parsed to extract ball-by-ball data and match metadata. The data was then transformed and cleaned to form structured datasets, making it easier for researchers, analysts, and cricket enthusiasts to derive insights.

    Usage: This dataset is perfect for those looking to perform detailed cricket match analyses, understand patterns, player performances, or even develop predictive models. Whether you're a data scientist, a cricket enthusiast, or someone looking to delve into sports analytics, this dataset offers a plethora of opportunities.

    Ball-by-Ball Dataset:

    1. Match ID: A unique identifier for each match.
    2. Inning Team: The team that is batting during the particular inning.
    3. Over: The current over number in the inning.
    4. Batter: The name of the batsman facing the delivery.
    5. Bowler: The name of the bowler delivering the ball.
    6. Non-striker: The name of the batsman at the non-striker's end.
    7. Runs by Batter: Runs scored by the batsman on that particular delivery.
    8. Extras: Extra runs awarded, such as no-balls or wides.
    9. Total Runs: Total runs scored off the delivery (including runs by the batter and extras).
    10. Wicket Kind: The method by which the batsman was dismissed (e.g., caught, bowled, run out).
    11. Player Out: Name of the player who got out on that delivery.
    12. Fielder: If the wicket kind involves a fielder (like caught or run out), this mentions the fielder's name.
    13. Review By: The team that asked for the DRS review.
    14. Umpire: The umpire who made the DRS decision.
    15. Review Decision: The outcome of the DRS review (e.g., upheld, overturned).
    16. Review Type: The type of review (e.g., LBW, caught behind).
    17. Replacement In: Player who came in as a replacement.
    18. Replacement Out: Player who was replaced.
    19. Replacement Team: Team for which the replacement occurred.
    20. Replacement Reason: Reason for the replacement.
    21. Replacement Role: Role of the player being replaced (e.g., bowler, batsman).

    Match Info Dataset:

    1. Match ID: A unique identifier for each match.
    2. City: The city where the match took place.
    3. Date: The date on which the match was played.
    4. Match Type: The format of the cricket match (e.g., ODI, T20).
    5. Match Type Number: A unique number associated with the match type for that series.
    6. Season: The cricket season/year.
    7. Team Type: Type of team (e.g., international, domestic).
    8. Team 1: One of the teams playing the match.
    9. Team 2: The other team playing the match.
    10. Toss Winner: The team that won the toss.
    11. Toss Decision: The decision made by the toss-winning team (e.g., bat or field).
    12. Venue: The stadium or ground where the match was played.
    13. Winner: The team that won the match.
    14. Win Margin Type: Indicates if the win margin is in terms of runs or wickets.
    15. Win Margin: The margin by which the winning team won (in terms of runs or wickets).
    16. Player of the Match: The player who was awarded the "Player of the Match" title.
    17. Event Name: The name of the tournament or series.
    18. Event Match Number: Match number in the event or series.
    19. Event Stage: The stage of the event (e.g., Super Sixes, Finals).
    20. Gender: Gender category of the match (e.g., male, female).
    21. Umpire 1: One of the on-field umpires.
    22. Umpire 2: The other on-field umpire.
    23. TV Umpire: The third umpire.
    24. Match Referee: The official match referee.
  2. o

    How to conduct and report checking transitivity and inconsistency in...

    • osf.io
    Updated Nov 19, 2024
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    Tobias Saueressig; Daniel Belavy (2024). How to conduct and report checking transitivity and inconsistency in network-meta-analysis: practical tools with code, source data and worked examples for sports and exercise medicine researchers [Dataset]. http://doi.org/10.17605/OSF.IO/K9JFA
    Explore at:
    Dataset updated
    Nov 19, 2024
    Dataset provided by
    Center For Open Science
    Authors
    Tobias Saueressig; Daniel Belavy
    Description

    No description was included in this Dataset collected from the OSF

  3. Liberia Recreation

    • ebola-nga.opendata.arcgis.com
    Updated Dec 4, 2014
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    National Geospatial-Intelligence Agency (2014). Liberia Recreation [Dataset]. https://ebola-nga.opendata.arcgis.com/content/ef575185945b42f18302830b7575a239
    Explore at:
    Dataset updated
    Dec 4, 2014
    Dataset authored and provided by
    National Geospatial-Intelligence Agencyhttp://www.nga.mil/
    Area covered
    Description

    (UNCLASSIFIED) Recreation is broken down into the following types: Sports Facility, Pool, Park and Other. Sports Facilities include any field where sports are played professional or leisurely and include basketball courts, soccer stadiums and fields, tennis courts, etc. Parks include recreational areas around the cities.Development of Liberia’s recreational locations has taken a backseat in the post-war era to rehabilitation of critical infrastructure and services. Despite the resulting scarcity of parks and sports facilities throughout the country, soccer has surged in popularity and is by far the country’s most popular sport. The Liberian national team, nicknamed the Lone Stars for the Liberian flag, has seen a surge in popularity despite never having qualified for a World Cup. Semi-professional local teams have also experienced growing interest and have seen a 40 percent increase in match-attendance since 2014. An inter-county tournament is held annually for the sport’s highest award in the country, the Barclay Shield. Basketball, swimming, and squash are popular in Liberia’s urban areas, especially Monrovia, despite a lack of facilities outside of hotels and expatriate clubs. School children play soccer and kickball—typically on bare patches of earth rather than formal fields—as well as marbles (usually using dried seeds).Attribute Table Field DescriptionsISO3 - International Organization for Standardization 3-digit country code ADM0_NAME - Administration level zero identification / name ADM1_NAME - Administration level one identification / name ADM2_NAME - Administration level two identification / name NAME - Name of recreation area TYPE - Classification in the geodatabase CITY - City location available SPA_ACC - Spatial accuracy of site location (1 – high, 2 – medium, 3 – low) COMMENTS - Comments or notes regarding the recreation area SOURCE_DT - Source one creation date SOURCE - Source one SOURCE2_DT - Source two creation date SOURCE2 - Source two CollectionThis feature class was generated utilizing data from Wikimapia, OpenStreetMap, and other sources. Wikimapia is open-content mapping focused on gathering all geographical objects in the world. OpenStreetMap is a free worldwide map, created by crowd-sourcing.Consistent naming conventions for geographic locations were attempted but name variants may exist which can include historical or less widespread interpretations.The data included herein have not been derived from a registered survey and should be considered approximate unless otherwise defined. While rigorous steps have been taken to ensure the quality of each dataset, DigitalGlobe is not responsible for the accuracy and completeness of data compiled from outside sources.Metadata information was collected from an encyclopedia entry, an article published by BET, as well as a book on Liberian culture and recreation.Sources (HGIS)DigitalGlobe, “DigitalGlobe Imagery Archive.” Accessed October 03, 2014. Google, October 2014. Accessed October 03, 2014. www.google.com.OpenStreetMap, “Liberia.” October 2014. Accessed October 03, 2014. http://www.openstreetmap.org.Wikimapia, “Liberia.” October 2014. Accessed October 03, 2014. http://wikimapia.org.Sources (Metadata)Hicks, Jonathan P. “In Liberia, Soccer Is Bringing People Together: The West African nation is seeing a resurgance in the sport known as football, with attendance and sponsorships up.” BET. April 03, 2014. Accessed October 03, 2014. http://www.bet.com.Levy, Patricia and Michael Spilling. Cultures of the World: Liberia. 2010. Accessed October 03, 2014. http://books.google.com.Petterson, Donald Rahl. “Liberia: Sports and Recreation.” Encyclopedia Britannica Online. August 27, 2014. Accessed October 03, 2014. http://www.britannica.com.

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Share
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TwitterTwitter
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Click to copy link
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Close
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Subhrajyoti Nath (2023). Match Info and Ball by ball data for ODIs [Dataset]. https://www.kaggle.com/datasets/subhrajyotinath/match-info-and-ball-by-ball-data-for-odis/code
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Match Info and Ball by ball data for ODIs

An extensive ball-by-ball and match-wise dataset of international ODIs

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Oct 11, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Subhrajyoti Nath
License

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

Description

This dataset encompasses detailed ball-by-ball data and match information for various cricket matches available in cricsheet website. The data provides an in-depth analysis at the granular level, capturing every ball bowled, the runs scored, the type of dismissal, and more.

  1. Ball-by-Ball Data: Includes details like the batting team, over, batter, bowler, runs scored, extras, dismissal information, etc.
  2. Match Info: Contains metadata about the match, like the venue, teams playing, toss decision, match outcome, and other relevant details.

Acknowledgment: A big shoutout to Cricsheet for making such comprehensive cricket data available to the public. Their open-source initiative has empowered enthusiasts and analysts to understand the game better.

Data Extraction Process: The raw data was sourced from Cricsheet in JSON format. A systematic extraction process was followed using Python, where each file was parsed to extract ball-by-ball data and match metadata. The data was then transformed and cleaned to form structured datasets, making it easier for researchers, analysts, and cricket enthusiasts to derive insights.

Usage: This dataset is perfect for those looking to perform detailed cricket match analyses, understand patterns, player performances, or even develop predictive models. Whether you're a data scientist, a cricket enthusiast, or someone looking to delve into sports analytics, this dataset offers a plethora of opportunities.

Ball-by-Ball Dataset:

  1. Match ID: A unique identifier for each match.
  2. Inning Team: The team that is batting during the particular inning.
  3. Over: The current over number in the inning.
  4. Batter: The name of the batsman facing the delivery.
  5. Bowler: The name of the bowler delivering the ball.
  6. Non-striker: The name of the batsman at the non-striker's end.
  7. Runs by Batter: Runs scored by the batsman on that particular delivery.
  8. Extras: Extra runs awarded, such as no-balls or wides.
  9. Total Runs: Total runs scored off the delivery (including runs by the batter and extras).
  10. Wicket Kind: The method by which the batsman was dismissed (e.g., caught, bowled, run out).
  11. Player Out: Name of the player who got out on that delivery.
  12. Fielder: If the wicket kind involves a fielder (like caught or run out), this mentions the fielder's name.
  13. Review By: The team that asked for the DRS review.
  14. Umpire: The umpire who made the DRS decision.
  15. Review Decision: The outcome of the DRS review (e.g., upheld, overturned).
  16. Review Type: The type of review (e.g., LBW, caught behind).
  17. Replacement In: Player who came in as a replacement.
  18. Replacement Out: Player who was replaced.
  19. Replacement Team: Team for which the replacement occurred.
  20. Replacement Reason: Reason for the replacement.
  21. Replacement Role: Role of the player being replaced (e.g., bowler, batsman).

Match Info Dataset:

  1. Match ID: A unique identifier for each match.
  2. City: The city where the match took place.
  3. Date: The date on which the match was played.
  4. Match Type: The format of the cricket match (e.g., ODI, T20).
  5. Match Type Number: A unique number associated with the match type for that series.
  6. Season: The cricket season/year.
  7. Team Type: Type of team (e.g., international, domestic).
  8. Team 1: One of the teams playing the match.
  9. Team 2: The other team playing the match.
  10. Toss Winner: The team that won the toss.
  11. Toss Decision: The decision made by the toss-winning team (e.g., bat or field).
  12. Venue: The stadium or ground where the match was played.
  13. Winner: The team that won the match.
  14. Win Margin Type: Indicates if the win margin is in terms of runs or wickets.
  15. Win Margin: The margin by which the winning team won (in terms of runs or wickets).
  16. Player of the Match: The player who was awarded the "Player of the Match" title.
  17. Event Name: The name of the tournament or series.
  18. Event Match Number: Match number in the event or series.
  19. Event Stage: The stage of the event (e.g., Super Sixes, Finals).
  20. Gender: Gender category of the match (e.g., male, female).
  21. Umpire 1: One of the on-field umpires.
  22. Umpire 2: The other on-field umpire.
  23. TV Umpire: The third umpire.
  24. Match Referee: The official match referee.
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