Our NFL Data product offers extensive access to historic and current National Football League statistics and results, available in multiple formats. Whether you're a sports analyst, data scientist, fantasy football enthusiast, or a developer building sports-related apps, this dataset provides everything you need to dive deep into NFL performance insights.

Key Benefits:

Comprehensive Coverage: Includes historic and real-time data on NFL stats, game results, team performance, player metrics, and more.

Multiple Formats: Datasets are available in various formats (CSV, JSON, XML) for easy integration into your tools and applications.

User-Friendly Access: Whether you are an advanced analyst or a beginner, you can easily access and manipulate data to suit your needs.

Free Trial: Explore the full range of data with our free trial before committing, ensuring the product meets your expectations.

Customizable: Filter and download only the data you need, tailored to specific seasons, teams, or players.

API Access: Developers can integrate real-time NFL data into their apps with API support, allowing seamless updates and user engagement.

Use Cases:

Fantasy Football Players: Use the data to analyze player performance, helping to draft winning teams and make better game-day decisions.

Sports Analysts: Dive deep into historical and current NFL stats for research, articles, and game predictions.

Developers: Build custom sports apps and dashboards by integrating NFL data directly through API access.

Betting & Prediction Models: Use data to create accurate predictions for NFL games, helping sportsbooks and bettors alike.

Media Outlets: Enhance game previews, post-game analysis, and highlight reels with accurate, detailed NFL stats.

Our NFL Data product ensures you have the most reliable, up-to-date information to drive your projects, whether it's enhancing user experiences, creating predictive models, or simply enjoying in-depth football analysis.

StatsBomb Open Data

StatsBomb are committed to sharing new data and research publicly to enhance understanding of the game of Football. We want to actively encourage new research and analysis at all levels. Therefore we have made certain leagues of StatsBomb Data freely available for public use for research projects and genuine interest in football analytics.

StatsBomb are hoping that by making data freely available, we will extend the wider football analytics community and attract new talent to the industry. We would like to collect some basic personal information about users of our data. By giving us your email address, it means we will let you know when we make more data, tutorials and research available. We will store the information in accordance with our Privacy Policy and the GDPR.

Whilst we are keen to share data and facilitate research, we also urge you to be responsible with the data. Please register your details on https://www.statsbomb.com/resource-centre and read our User Agreement carefully.

Terms & Conditions By using this repository, you are agreeing to the user agreement.

If you publish, share or distribute any research, analysis or insights based on this data, please state the data source as StatsBomb and use our logo, available in our Media Pack.

Getting Started The data is provided as JSON files exported from the StatsBomb Data API, in the following structure:

Competition and seasons stored in competitions.json. Matches for each competition and season, stored in matches. Each folder within is named for a competition ID, each file is named for a season ID within that competition. Events and lineups for each match, stored in events and lineups respectively. Each file is named for a match ID. StatsBomb 360 data for selected matches, stored in three-sixty. Each file is named for a match ID. Some documentation about the meaning of different events and the format of the JSON can be found in the doc directory.

With the SportMonks Football Euro Plan you get access to all data you need for a fantastic website/app about the Top Leagues in Europe. All data is available in JSON en extremely well documented. Our 7 days a week available Service Department will help you when needed. 14 day Free Trial included for all our plans!

This dataset consists in 22 JSON files representing a season of the Spanish Football League ("La Liga").

The dataset represents several hierarchically related elements, however, only the Match, Event and Player elements contain relevant information for analysis. The rest of the elements simply serve to keep the data structured, by seasons and matchdays. The dataset collects information from several seasons between the years 2000 and 2022. The attributes of each of the elements that make up the dataset are described below:

Season: JSON documents represent a season, their root contains the following information:

competition: Name by which the competition is known

country: Country where the competition is held

season_id: Identifier of the season, example: Season 2021/22

season_url: Relative URL of the season's web page

rounds: List of Round elements, the days into which the championship is divided

Rounds: (or matchdays) Collection of matches:

number: Name of the matchday, e.g.: Matchday 1.

matches: List of Match elements, matches that are played on the same day/s of the championship.

Match: contains relevant match information.

id: Match identifier used at BeSoccer.com

status: Code representing the status of the match: Played (1), Not Played (0)

home_team: Name of the home team

away_team: Name of the away team

result: List of two integers representing the match score

date_time: Date and time at which the match started

referee: First and last name of the referee of the match

href: URL relative to the match page

home_tactic: Tactical arrangement of the home team, e.g.: 4-3-3

home_lineup: List of players in the starting lineup of the home team

home_bench: List of the home team's substitute players

away_tactic: Tactical arrangement of the away team, e.g. 4-3-3

away_lineup: List of players in the home team's starting lineup

away_bench: List of substitute players of the away team

Event: contains information that defines each of the relevant actions that occur during a soccer match. Events can be described by the following attributes:

player: Player identifier. Relative URL

team: Team of the player who participates in the event

minute: Minute of the match in which the event occurs

type: Event type (Enumeration)

Players: Player information:

name: First name

fullname: Player's full name

dob: Date of birth

country: Nationality

position: Position the player usually occupies: GOA (GoalKeeper), DF (Defender), MID (Midfielder), STR (Striker)

foot: Dominant Foot: Right-footed, Left-footed, Two-footed, Unknown

weight: Weight of player in kilograms

height: Player height in centimeters

elo: Measurement of the player's skills on a scale of 1 to 100

potential: Estimate of the maximum ELO that a player can reach on a scale of 1 to 100.

href: Relative URL of the player's record

Description:

This comprehensive dataset offers detailed information on approximately 17,000 FIFA football players, meticulously scraped from SoFIFA.com.

It encompasses a wide array of player-specific data points, including but not limited to player names, nationalities, clubs, player ratings, potential, positions, ages, and various skill attributes. This dataset is ideal for football enthusiasts, data analysts, and researchers seeking to conduct in-depth analysis, statistical studies, or machine learning projects related to football players' performance, characteristics, and career progressions.

Features:

• name: Name of the player.
• full_name: Full name of the player.
• birth_date: Date of birth of the player.
• age: Age of the player.
• height_cm: Player's height in centimeters.
• weight_kgs: Player's weight in kilograms.
• positions: Positions the player can play.
• nationality: Player's nationality.
• overall_rating: Overall rating of the player in FIFA.
• potential: Potential rating of the player in FIFA.
• value_euro: Market value of the player in euros.
• wage_euro: Weekly wage of the player in euros.
• preferred_foot: Player's preferred foot.
• international_reputation(1-5): International reputation rating from 1 to 5.
• weak_foot(1-5): Rating of the player's weaker foot from 1 to 5.
• skill_moves(1-5): Skill moves rating from 1 to 5.
• body_type: Player's body type.
• release_clause_euro: Release clause of the player in euros.
• national_team: National team of the player.
• national_rating: Rating in the national team.
• national_team_position: Position in the national team.
• national_jersey_number: Jersey number in the national team.
• crossing: Rating for crossing ability.
• finishing: Rating for finishing ability.
• heading_accuracy: Rating for heading accuracy.
• short_passing: Rating for short passing ability.
• volleys: Rating for volleys.
• dribbling: Rating for dribbling.
• curve: Rating for curve shots.
• freekick_accuracy: Rating for free kick accuracy.
• long_passing: Rating for long passing.
• ball_control: Rating for ball control.
• acceleration: Rating for acceleration.
• sprint_speed: Rating for sprint speed.
• agility: Rating for agility.
• reactions: Rating for reactions.
• balance: Rating for balance.
• shot_power: Rating for shot power.
• jumping: Rating for jumping.
• stamina: Rating for stamina.
• strength: Rating for strength.
• long_shots: Rating for long shots.
• aggression: Rating for aggression.
• interceptions: Rating for interceptions.
• positioning: Rating for positioning.
• vision: Rating for vision.
• penalties: Rating for penalties.
• composure: Rating for composure.
• marking: Rating for marking.
• standing_tackle: Rating for standing tackle.
• sliding_tackle: Rating for sliding tackle.

Use Case:

This dataset is ideal for data analysis, predictive modeling, and machine learning projects. It can be used for:

• Player performance analysis and comparison.
• Market value assessment and wage prediction.
• Team composition and strategy planning.
• Machine learning models to predict future player potential and career trajectories.

Note:

Please ensure to adhere to the terms of service of SoFIFA.com and relevant data protection laws when using this dataset. The dataset is intended for educational and research purposes only and should not be used for commercial gains without proper authorization.

This web map shows the location of 7-a-side Soccer Pitches (Artificial Turf Pitch) in Hong Kong. It is a subset of the data made available by the Leisure and Cultural Services Department under the Government of Hong Kong Special Administrative Region (the “Government”) at https://DATA.GOV.HK/ (“DATA.GOV.HK”). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of DATA.GOV.HK at https://data.gov.hk.

Base de donnée officielle des équipements sportifs en FranceData ES est la base de données des équipements sportifs et des lieux de pratiques du Ministère chargé des Sports. Elle est mise à jour quotidiennement. Cette donnée découle d'une obligation légale où "tout propriétaire d'un équipement sportif est tenu d'en faire la déclaration à l'administration en vue de l'établissement d'un recensement des équipements" (Code du Sport L312-2). Depuis 2005, ce dispositif contribue à documenter et éclairer le développement de la pratique sportive en France. Aujourd'hui, avec plus de 330 000 lieux de pratiques recensés en France métropolitaine et dans les territoires d'outre-mer, DATA ES constitue un référentiel exhaustif, mis à jour quotidiennement. Chaque équipement recensé est associé à un code national unique, garantissant une identification précise et homogène. Data ES - Complet Ce jeu de données constitue l’agrégation complète des équipements sportifs, de leurs installations associées, et des activités sportives pratiquées sur chaque site. Il s'agit du fichier principal pour les analyses territoriales ou cartographiques à l’échelle nationale.Méthodologie et définitions Informations clés

Fréquence de mise à jour : quotidienne Format : CSV, JSON, via API Licence : Licence Ouverte / Etalab 2.0 Source : Ministère des Sports Contact : contact-equipements[AT]sports.gouv.fr