11 datasets found

  1. FiveThirtyEight MLB Elo Dataset

    • kaggle.com
    Updated Apr 26, 2019
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    FiveThirtyEight (2019). FiveThirtyEight MLB Elo Dataset [Dataset]. https://www.kaggle.com/datasets/fivethirtyeight/fivethirtyeight-mlb-elo-dataset/versions/113
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 26, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    FiveThirtyEight
    License

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

    Description

    Content

    files: - https://projects.fivethirtyeight.com/mlb-api/mlb_elo.csv

    - https://projects.fivethirtyeight.com/mlb-api/mlb_elo_latest.csv

    MLB Elo

    This file contains links to the data behind The Complete History Of MLB and our MLB Predictions.

    mlb_elo.csv contains game-by-game Elo ratings and forecasts back to 1871. mlb_elo_latest.csv contains game-by-game Elo ratings and forecasts for only the latest season.

    The data contains two separate systems for rating teams; the simpler Elo ratings, used for The Complete History Of MLB, and the more involved — and confusingly named — "ratings" that are used in our MLB Predictions. The main difference is that Elo ratings are reverted to the mean between seasons, while the more involved ratings use preseason team projections from several projection systems and account for starting pitchers. More information can be found in this article.

    ColumnDefinition
    dateDate of game
    seasonYear of season
    neutralWhether game was on a neutral site
    playoffWhether game was in playoffs, and the playoff round if so
    team1Abbreviation for home team
    team2Abbreviation for away team
    elo1_preHome team's Elo rating before the game
    elo2_preAway team's Elo rating before the game
    elo_prob1Home team's probability of winning according to Elo ratings
    elo_prob2Away team's probability of winning according to Elo ratings
    elo1_postHome team's Elo rating after the game
    elo2_postAway team's Elo rating after the game
    rating1_preHome team's rating before the game
    rating2_preAway team's rating before the game
    pitcher1Name of home starting pitcher
    pitcher2Name of away starting pitcher
    pitcher1_rgsHome starting pitcher's rolling game score before the game
    pitcher2_rgsAway starting pitcher's rolling game score before the game
    pitcher1_adjHome starting pitcher's adjustment to their team's rating
    pitcher2_adjAway starting pitcher's adjustment to their team's rating
    rating_prob1Home team's probability of winning according to team ratings and starting pitchers
    rating_prob2Away team's probability of winning according to team ratings and starting pitchers
    rating1_postHome team's rating after the game
    rating2_postAway team's rating after the game
    score1Home team's score
    score2Away team's score

    Context

    This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using GitHub's API and Kaggle's API.

    This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

  2. d

    Forecast Methodology

    • datahub.io
    Updated Feb 11, 2025
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    (2025). Forecast Methodology [Dataset]. https://datahub.io/core/five-thirty-eight-datasets/datasets/forecast-methodology
    Explore at:
    Dataset updated
    Feb 11, 2025
    Description

    This folder contains the data behind the story How The FiveThirtyEight Senate Forecast Model Works.

    Header | Definition

    state | Election year | Year of election candidate | Last name forecast_prob ...

  3. d

    March Madness Predictions

    • datahub.io
    Updated Sep 25, 2024
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    (2024). March Madness Predictions [Dataset]. https://datahub.io/core/five-thirty-eight-datasets/datasets/march-madness-predictions
    Explore at:
    Dataset updated
    Sep 25, 2024
    Description

    This folder contains data behind the 2014 NCAA Tournament Predictions.

    This dataset was scraped from FiveThirtyEight - march-madness-predictions ...

  4. A

    ‘Predicting the NFL!’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Predicting the NFL!’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-predicting-the-nfl-b2b8/f6bfa4de/?iid=007-902&v=presentation
    Explore at:
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Predicting the NFL!’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/nfl-elo-gamee on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    See Readme for more details.
    This repository contains a selection of the data -- and the data-processing scripts -- behind the articles, graphics and interactives at FiveThirtyEight.

    We hope you'll use it to check our work and to create stories and visualizations of your own. The data is available under the Creative Commons Attribution 4.0 International License and the code is available under the MIT License. If you do find it useful, please let us know.

    Source: https://github.com/fivethirtyeight/nfl-elo-game

    This dataset was created by FiveThirtyEight and contains around 20000 samples along with Team2, Playoff, technical information and other features such as: - Score2 - Elo Prob1 - and more.

    How to use this dataset

    • Analyze Season in relation to Result1
    • Study the influence of Team1 on Elo1
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit FiveThirtyEight

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  5. A

    ‘March Madness 2018’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Mar 15, 2018
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2018). ‘March Madness 2018’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-march-madness-2018-6118/e0be253b/?iid=013-075&v=presentation
    Explore at:
    Dataset updated
    Mar 15, 2018
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘March Madness 2018’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/march-madness-2018e on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    This file contains links to the data behind our 2018 March Madness Predictions.

    fivethirtyeight_ncaa_forecasts.csv contains power ratings for each team and the chance of each team reaching every round of the tournament. It includes men's and women's forecasts, with one forecast for each day of the tournament.

    Source: https://github.com/fivethirtyeight/data/tree/master/march-madness-predictions-2018

    This dataset was created by FiveThirtyEight and contains around 600 samples along with Rd1 Win, Rd7 Win, technical information and other features such as: - Team Id - Playin Flag - and more.

    How to use this dataset

    • Analyze Team Region in relation to Team Name
    • Study the influence of Gender on Rd5 Win
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit FiveThirtyEight

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  6. d

    Soccer Spi

    • datahub.io
    Updated Dec 2, 2018
    + more versions
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    (2018). Soccer Spi [Dataset]. https://datahub.io/core/five-thirty-eight-datasets/datasets/soccer-spi
    Explore at:
    Dataset updated
    Dec 2, 2018
    Description

    This file contains links to the data behind our Club Soccer Predictions and Global Club Soccer Rankings.

    spi_matches.csv contains match-by-match SPI ratings and forecasts back to 2016.

    spi_global...

  7. A

    ‘Predicting Women's NBA (WNBA)’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Predicting Women's NBA (WNBA)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-predicting-women-s-nba-wnba-dbae/latest
    Explore at:
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Predicting Women's NBA (WNBA)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/wnba-forecastse on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    https://i.ibb.co/4dcHDh5/WNBA.png" alt="">

    About this dataset

    About

    This file contains links to the data behind our WNBA Predictions. More information on how our WNBA Elo model works can be found in this article.

    wnba_elo.csv contains game-by-game Elo ratings and forecasts since 1997.

    wnba_elo_latest.csv contains game-by-game Elo ratings and forecasts for only the latest season.

    License

    Data released under the Creative Commons Attribution 4.0 License

    Source

    GitHub

    This dataset was created by data.world's Admin and contains around 6000 samples along with Home Team Postgame Rating, Home Team, technical information and other features such as: - Date - Away Team - and more.

    How to use this dataset

    • Analyze Neutral in relation to Home Team Pregame Rating
    • Study the influence of Away Team Postgame Rating on Season
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit data.world's Admin

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  8. d

    Submersible Mixers Market Analysis, Trends, Growth, Industry Revenue, Market...

    • datastringconsulting.com
    pdf, xlsx
    Updated Jun 15, 2025
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    Datastring Consulting (2025). Submersible Mixers Market Analysis, Trends, Growth, Industry Revenue, Market Size and Forecast Report 2024-2034 [Dataset]. https://datastringconsulting.com/industry-analysis/submersible-mixers-market-research-report
    Explore at:
    pdf, xlsxAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Datastring Consulting
    License

    https://datastringconsulting.com/privacy-policyhttps://datastringconsulting.com/privacy-policy

    Time period covered
    2019 - 2034
    Area covered
    Global
    Description
    Report Attribute/MetricDetails
    Market Value in 2025USD 538 million
    Revenue Forecast in 2034USD 1.18 billion
    Growth RateCAGR of 9.1% from 2025 to 2034
    Base Year for Estimation2024
    Industry Revenue 2024493 million
    Growth Opportunity USD 685 million
    Historical Data2019 - 2023
    Forecast Period2025 - 2034
    Market Size UnitsMarket Revenue in USD million and Industry Statistics
    Market Size 2024493 million USD
    Market Size 2027640 million USD
    Market Size 2029762 million USD
    Market Size 2030831 million USD
    Market Size 20341.18 billion USD
    Market Size 20351.29 billion USD
    Report CoverageMarket Size for past 5 years and forecast for future 10 years, Competitive Analysis & Company Market Share, Strategic Insights & trends
    Segments CoveredProduct Type, Application, Power Rating, Mounting Type, Material
    Regional ScopeNorth America, Europe, Asia Pacific, Latin America and Middle East & Africa
    Country ScopeU.S., Canada, Mexico, UK, Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Mexico, Argentina, Saudi Arabia, UAE and South Africa
    Top 5 Major Countries and Expected CAGR ForecastU.S., Germany, China, Japan, UK - Expected CAGR 6.6% - 9.6% (2025 - 2034)
    Top 3 Emerging Countries and Expected ForecastIndonesia, Chile, South Africa - Expected Forecast CAGR 8.7% - 11.4% (2025 - 2034)
    Top 2 Opportunistic Market SegmentsIndustrial Processing and Oil & Gas Application
    Top 2 Industry TransitionsThe Shift to Energy Efficiency, The Advent of Smart Technology
    Companies ProfiledXylem Inc., Sulzer Ltd., SPX Flow Technology, Franklin Electric Co. Inc, Flygt - a Xylem brand, JDV Equipment Corporation, Landustrie Sneek BV, Philadelphia Mixing Solutions Ltd., Tsurumi America Inc, EKATO GROUP, Grundfos and Statiflo International.
    CustomizationFree customization at segment, region, or country scope and direct contact with report analyst team for 10 to 20 working hours for any additional niche requirement (10% of report value)
  9. d

    Nfl Elo

    • datahub.io
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    Nfl Elo [Dataset]. https://datahub.io/core/five-thirty-eight-datasets/datasets/nfl-elo
    Explore at:
    Description

    This file contains links to the data behind The Complete History Of The NFL and our NFL Predictions.

    nfl_elo.csv contains game-by-game Elo ratings and forecasts back to 1920.

    This dataset was scrap...

  10. d

    Mlb Elo

    • datahub.io
    Updated Nov 10, 2024
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    (2024). Mlb Elo [Dataset]. https://datahub.io/core/five-thirty-eight-datasets/datasets/mlb-elo
    Explore at:
    Dataset updated
    Nov 10, 2024
    Description

    This file contains links to the data behind The Complete History Of MLB and our MLB Predictions.

    mlb_elo.csv contains game-by-game Elo ratings and forecasts back to 1871.

    This dataset was scraped f...

  11. 2021 NCAAM Prediction by 538

    • kaggle.com
    zip
    Updated Mar 17, 2021
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    Kamal Das (2021). 2021 NCAAM Prediction by 538 [Dataset]. https://www.kaggle.com/kmldas/2021-ncaam-prediction-by-538
    Explore at:
    zip(1598 bytes)Available download formats
    Dataset updated
    Mar 17, 2021
    Authors
    Kamal Das
    Description

    Dataset

    This dataset was created by Kamal Das

    Contents

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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FiveThirtyEight (2019). FiveThirtyEight MLB Elo Dataset [Dataset]. https://www.kaggle.com/datasets/fivethirtyeight/fivethirtyeight-mlb-elo-dataset/versions/113
Organization logo

FiveThirtyEight MLB Elo Dataset

Explore Data from FiveThirtyEight

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 26, 2019
Dataset provided by
Kagglehttp://kaggle.com/
Authors
FiveThirtyEight
License

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

Description

Content

files: - https://projects.fivethirtyeight.com/mlb-api/mlb_elo.csv

- https://projects.fivethirtyeight.com/mlb-api/mlb_elo_latest.csv

MLB Elo

This file contains links to the data behind The Complete History Of MLB and our MLB Predictions.

mlb_elo.csv contains game-by-game Elo ratings and forecasts back to 1871. mlb_elo_latest.csv contains game-by-game Elo ratings and forecasts for only the latest season.

The data contains two separate systems for rating teams; the simpler Elo ratings, used for The Complete History Of MLB, and the more involved — and confusingly named — "ratings" that are used in our MLB Predictions. The main difference is that Elo ratings are reverted to the mean between seasons, while the more involved ratings use preseason team projections from several projection systems and account for starting pitchers. More information can be found in this article.

ColumnDefinition
dateDate of game
seasonYear of season
neutralWhether game was on a neutral site
playoffWhether game was in playoffs, and the playoff round if so
team1Abbreviation for home team
team2Abbreviation for away team
elo1_preHome team's Elo rating before the game
elo2_preAway team's Elo rating before the game
elo_prob1Home team's probability of winning according to Elo ratings
elo_prob2Away team's probability of winning according to Elo ratings
elo1_postHome team's Elo rating after the game
elo2_postAway team's Elo rating after the game
rating1_preHome team's rating before the game
rating2_preAway team's rating before the game
pitcher1Name of home starting pitcher
pitcher2Name of away starting pitcher
pitcher1_rgsHome starting pitcher's rolling game score before the game
pitcher2_rgsAway starting pitcher's rolling game score before the game
pitcher1_adjHome starting pitcher's adjustment to their team's rating
pitcher2_adjAway starting pitcher's adjustment to their team's rating
rating_prob1Home team's probability of winning according to team ratings and starting pitchers
rating_prob2Away team's probability of winning according to team ratings and starting pitchers
rating1_postHome team's rating after the game
rating2_postAway team's rating after the game
score1Home team's score
score2Away team's score

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

  • Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

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