100+ datasets found
  1. Most influential reasons for supporting MLB team in the U.S. 2022

    • statista.com
    Updated May 30, 2016
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    Christina Gough (2016). Most influential reasons for supporting MLB team in the U.S. 2022 [Dataset]. https://www.statista.com/study/10287/major-league-baseball-statista-dossier/
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    Dataset updated
    May 30, 2016
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Christina Gough
    Area covered
    United States
    Description

    During a March 2022 survey in the United States, some 46 percent of respondents with a favorite MLB team stated that where they grew up influenced which team they supported. Meanwhile, only eight percent of respondents chose their favorite team based on the team's record.

  2. PMLB-Enterprises (Company) - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, PMLB-Enterprises (Company) - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/company/PMLB-Enterprises/
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    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Mar 13, 2025
    Description

    Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company PMLB-Enterprises.

  3. Coaches of color in the MLB from 2011 to 2023

    • statista.com
    Updated Sep 28, 2023
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    Coaches of color in the MLB from 2011 to 2023 [Dataset]. https://www.statista.com/statistics/1168018/racial-diversity-mlb-head-coaches/
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    Dataset updated
    Sep 28, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    North America
    Description

    Major League Baseball (MLB) is a professional sports league in North America made up of 30 teams that compete in the American League and the National League. In 2023, roughly 31 percent of head coaches within the league came from a minority background.

  4. S

    Play Sustainaball: An environmental footprint for an MLB team season

    • data.subak.org
    • data.niaid.nih.gov
    • +2more
    csv
    Updated Feb 16, 2023
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    University of California Santa Barbara (2023). Play Sustainaball: An environmental footprint for an MLB team season [Dataset]. https://data.subak.org/dataset/play-sustainaball-an-environmental-footprint-for-an-mlb-team-season
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    csvAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    University of California Santa Barbara
    License

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

    Description

    In recent years, there has been increased attention and focus from the public on the environmental impact of professional sports organizations. Significant opportunities exist for Major League Baseball (MLB) teams to both reduce their own environmental footprint, and that of their fans, through sustainability initiatives. Despite stadiums using upwards of ten million gallons of water per year and having the same energy needs as a small city, no MLB team has completed a public-facing quantification of their total environmental footprint. This project calculated the carbon footprint and water consumption of the Tampa Bay Rays for the 2019 regular season. We analyzed Scope 1, 2, and 3 GHG emissions to identify hotspots within the Rays' operations, supply chains, and transportation. Fan transportation was found to be the largest source of GHGs, followed by food production for concessions. The cooling tower and restrooms were identified as the largest sources of onsite water usage. We created a repository of best practices as a resource for stadium managers that includes strategies to reduce GHGs and water use coupled with scenario analyses estimating potential reductions. The following recommendations are highlighted as the largest reduction opportunities: (1) prioritizing fan engagement to switch to more sustainable modes of transportation, and (2) offering and highlighting more vegetarian options at concessions. To further reduce emissions and water usage, MLB teams should prioritize sub-metering electricity and water lines and installing more efficient equipment.

  5. k

    Experimental Data for the Dissertation "Leveraging Constraints for...

    • radar.kit.edu
    • radar-service.eu
    tar
    Updated Nov 8, 2024
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    Jakob Bach (2024). Experimental Data for the Dissertation "Leveraging Constraints for User-Centric Feature Selection" [Dataset]. http://doi.org/10.35097/4kjyeg0z2bxmr6eh
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    tar(307135488 bytes)Available download formats
    Dataset updated
    Nov 8, 2024
    Dataset provided by
    Karlsruhe Institute of Technology
    Authors
    Jakob Bach
    Description

    These are the experimental data for the dissertation> Bach, Jakob. "Leveraging Constraints for User-Centric Feature Selection" at the Department of Informatics of the Karlsruhe Institute of Technology. You can find the dissertation here. See the README for details. Many input datasets (which we also provide here) either - originate from OpenML and are CC-BY-licensed or - originate from PMLB and are MIT-licensed. Please see the LICENSE files in the corresponding datasets/ subfolders for details.

  6. Female coaches in the MLB from 2011 to 2023

    • statista.com
    Updated Sep 28, 2023
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    Statista (2023). Female coaches in the MLB from 2011 to 2023 [Dataset]. https://www.statista.com/statistics/1310420/mlb-female-coaches/
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    Dataset updated
    Sep 28, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    North America
    Description

    Major League Baseball (MLB) is a professional sports league in North America made up of 30 teams that compete in the American League and the National League. In 2023, there were 43 female coaches in the league, representing the highest number ever recorded.

  7. Data from: MLb-LDLr.xlsx

    • figshare.com
    • research.science.eus
    xlsx
    Updated Jan 18, 2021
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    Asier Larrea; Cesar Martin Plagaro; Humberto González-Díaz; Asier Benito-Vicente; shifa jebari; Sonia Arrasate; unai galicia (2021). MLb-LDLr.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.13603991.v1
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    xlsxAvailable download formats
    Dataset updated
    Jan 18, 2021
    Dataset provided by
    figshare
    Authors
    Asier Larrea; Cesar Martin Plagaro; Humberto González-Díaz; Asier Benito-Vicente; shifa jebari; Sonia Arrasate; unai galicia
    License

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

    Description

    MLb-LDLr is a software that predicts the pathogenicity of LDLr variants. It is based on the pathogenicity frequency of more than 700 variants annotated on ClinVar database. This document contains the used ClinVar database, Pik values of each characteristic and the prediction of all the possible LDLr variants

  8. Basyntan Mlb Liquid Import Data India, Basyntan Mlb Liquid Customs Import...

    • seair.co.in
    Updated Dec 12, 2015
    + more versions
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    Seair Exim (2015). Basyntan Mlb Liquid Import Data India, Basyntan Mlb Liquid Customs Import Shipment Data [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Dec 12, 2015
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  9. Impact of COVID-19 outbreak on MLB (Major League Baseball)

    • store.globaldata.com
    Updated Jun 30, 2020
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    GlobalData UK Ltd. (2020). Impact of COVID-19 outbreak on MLB (Major League Baseball) [Dataset]. https://store.globaldata.com/report/impact-of-covid-19-outbreak-on-mlb-major-league-baseball/
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    Dataset updated
    Jun 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    North America
    Description

    Analysing the impact that COVID-19 has had on the business of the MLB Read More

  10. Basyntan Mlb Import Data India, Basyntan Mlb Customs Import Shipment Data

    • seair.co.in
    Updated Feb 27, 2024
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    Seair Exim (2024). Basyntan Mlb Import Data India, Basyntan Mlb Customs Import Shipment Data [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 27, 2024
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  11. MLB league sponsorship revenue 2010-2023

    • statista.com
    Updated Oct 20, 2023
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    Statista (2023). MLB league sponsorship revenue 2010-2023 [Dataset]. https://www.statista.com/statistics/380197/mlb-sponsorship-revenue/
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    Dataset updated
    Oct 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Annual sponsorship revenue for Major League Baseball teams amounted to 1.5 billion U.S. dollars in 2023. This marked an increase of more than 23 percent on the previous year's figure.

  12. Mlb distributors inc Importer in USA, Mlb distributors inc Import Data...

    • seair.co.in
    Updated Aug 17, 2011
    + more versions
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    Seair Exim (2011). Mlb distributors inc Importer in USA, Mlb distributors inc Import Data Report [Dataset]. https://www.seair.co.in
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Aug 17, 2011
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  13. f

    Regression analysis of pitchers by RE models.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    + more versions
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    Wen-Jhan Jane; Yi-Jie Yu; Jye-Shyan Wang (2023). Regression analysis of pitchers by RE models. [Dataset]. http://doi.org/10.1371/journal.pone.0284556.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Wen-Jhan Jane; Yi-Jie Yu; Jye-Shyan Wang
    License

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

    Description

    Based on the longitudinal data of 30 Major League Baseball (MLB) teams over seasons from 2017 to 2020, we used random effect (RE) models to conduct regression analyses on the detailed data of pitchers and fielders. Cultural distance (CD) was measured in terms of Hofstede’s cultural indicators and Global Preference Survey (GPS) data. The results showed that salary premiums for foreign MLB players existed and CD was significantly positively correlated with salaries. Further, the risk preference (/altruism) difference between foreign pitchers and American pitchers was significantly positively (/negatively) correlated with the salaries of foreign pitchers. Salary estimation data showed that the salary premium was nearly 20% for players from South Korea and Panama, the lowest (only 0.11%) for players from Australia, and only 6.13% for players from Dominican Republic (accounting for the largest proportion of foreign MLB players), indicating that the MLB’s foreign player recruitment policy is correct.

  14. MLB: LGBM and Catboost models

    • kaggle.com
    Updated Jul 1, 2021
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    lhagiimn (2021). MLB: LGBM and Catboost models [Dataset]. https://www.kaggle.com/lhagiimn/mlb-lgbm-and-catboost-models/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 1, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    lhagiimn
    Description

    Dataset

    This dataset was created by lhagiimn

    Contents

  15. w

    xn--georgensgmnd-mlb.net - Historical whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, xn--georgensgmnd-mlb.net - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/xn--georgensgmnd-mlb.net/
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Mar 26, 2025
    Description

    Explore the historical Whois records related to xn--georgensgmnd-mlb.net (Domain). Get insights into ownership history and changes over time.

  16. Franchise value of Major League Baseball teams in the U.S. 2024

    • statista.com
    Updated May 28, 2024
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    Statista (2024). Franchise value of Major League Baseball teams in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/193637/franchise-value-of-major-league-baseball-teams-in-2010/
    Explore at:
    Dataset updated
    May 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In 2024, the Major League Baseball (MLB) team with the lowest franchise value was the Miami Marlins. The Florida-based team had a franchise value of one billion U.S. dollars that year. Meanwhile, the New York Yankees ranked as the most valuable franchise in 2024, with a value of 7.55 billion U.S. dollars. MLB revenue streams Major League Baseball teams have numerous sponsorship deals, which provide them with income from advertising on stadiums and in broadcast media. Another revenue stream for MLB teams is the sale of food, drinks, and other concessions at games. This includes the sale of traditional gameday fare such as hot dogs, popcorn, and beer, as well as official merchandise such as jerseys, caps, and other memorabilia which provide additional revenue streams for the franchise. Take me out to the ball game MLB teams also generate revenue from ticket sales for regular season and playoff games, which includes individual game tickets, season tickets, and suite rentals. Overall, MLB attendance is consistently high, with many teams regularly selling out their stadiums. Despite a significant reduction in 2021 due to the coronavirus (COVID-19) pandemic, attendance at MLB matches has rebounded in recent years, exceeding 29.2 thousand in 2023.

  17. Mlb Opercula Sas Company profile with phone,email, buyers, suppliers, price,...

    • volza.com
    csv
    Updated Aug 1, 2025
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    Volza.LLC (2025). Mlb Opercula Sas Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/mlb-opercula-sas-14294123
    Explore at:
    csvAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    Volza
    License

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

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Mlb Opercula Sas contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  18. mlb_train_dfs

    • kaggle.com
    zip
    Updated Jul 15, 2021
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    Michael Chen (2021). mlb_train_dfs [Dataset]. https://www.kaggle.com/mycoalchen/train-dfs
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    zip(242435443 bytes)Available download formats
    Dataset updated
    Jul 15, 2021
    Authors
    Michael Chen
    Description

    Dataset

    This dataset was created by Michael Chen

    Contents

  19. mlb-all-star.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, mlb-all-star.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/mlb-all-star.com/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Mar 13, 2025
    Description

    Explore the historical Whois records related to mlb-all-star.com (Domain). Get insights into ownership history and changes over time.

  20. f

    Mlb Roofing Decks H1B cases

    • f1hire.com
    Updated Sep 22, 2024
    + more versions
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    FrogHire.ai (2024). Mlb Roofing Decks H1B cases [Dataset]. https://www.f1hire.com/company/mlb-roofing-decks
    Explore at:
    Dataset updated
    Sep 22, 2024
    Dataset provided by
    FrogHire.ai
    Description

    The H1B Sponsorship Trends linear chart shows the number of H1B cases filed by Mlb Roofing Decks from 2020 to 2023, providing a clear view of filing trends over time. Alongside, the horizontal bar chart titled Distribution of Job Fields Receiving H1B Sponsorship breaks down which roles and industries are most commonly sponsored.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Christina Gough (2016). Most influential reasons for supporting MLB team in the U.S. 2022 [Dataset]. https://www.statista.com/study/10287/major-league-baseball-statista-dossier/
Organization logo

Most influential reasons for supporting MLB team in the U.S. 2022

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 30, 2016
Dataset provided by
Statistahttp://statista.com/
Authors
Christina Gough
Area covered
United States
Description

During a March 2022 survey in the United States, some 46 percent of respondents with a favorite MLB team stated that where they grew up influenced which team they supported. Meanwhile, only eight percent of respondents chose their favorite team based on the team's record.

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