The provided dataset contains a comprehensive set of data about football players from the top 42 European first leagues. The dataset encompasses various statistics and information related to these players, providing valuable insights into their performance, skills, and backgrounds. The data covers a wide range of categories, including player details, club information, performance metrics, awards and achievements, transfer history, youth career, social media presence, and much more.   The dataset includes the following key information for each player:   Player Information: Full name, age, date of birth, place of birth, position, sub-position, nationality, height, and outfitter.   Club Details: Club name, league country, league, market value, contract expiry date, and transfermarkt URL.   Performance Metrics: Appearances, goals, assists, yellow cards, red cards, starting eleven appearances, minutes played, and goal participation.   Player Performance Ratings: Seasonal performance rating and overall performance rating.   Awards and Achievements: Accolades, team achievements, youth trophies, and continental trophies.   Transfer History: Transfer fees, transfer dates, left clubs, and joined clubs.   Social Media Presence: Facebook, Twitter, and Instagram links along with followers, following, likes, and other related metrics.   Domestic and Continental Competitions: Appearances, goals, assists, yellow cards, red cards, minutes played, goal participation, clean sheets, and conceded goals in domestic league competitions, UEFA Champions League, UEFA League, and UEFA Conference League.   Domestic Cup Performances: Appearances, goals, assists, yellow cards, red cards, starting eleven appearances, minutes played, and goal participation in domestic cup competitions.   Player Attributes and Skills: Scoring frequency, accurate passes, successful dribbles, tackles, interceptions, shots on target, ground and aerial duels won, accurate long balls, clearances, dispossessed, possession lost and won, touches, fouls, saves, punches, high claims, crosses not claimed, and much more.   The dataset also provides injury-related information such as missed matches and days injured, allowing analysis of a player's injury history.   This comprehensive dataset serves as a valuable resource for football analysts, clubs, researchers, and enthusiasts to gain in-depth insights into the performance and profiles of football players from the top 42 European first leagues.

This data represents game statistics of Boston Celtics Player, Isaiah Thomas during the 2016 - 2017 season. The data includes game quarterly statistics (Quarter, +/-, FG%, etc), game outcome (Opponent & Team score, Date, Result), and player descriptions (College, Experience, Nationality). The data was consolidated with python scripts using Basketball Reference libraries and Alteryx Designer, an analytics tool for ETL.

Trying to analyze historical betting odds for whether MLB games will go over or under the betting line? This dataset is for you. More than 13,000 rows include data for all games played between 2013 and 2018.

The dataset contains details of the top 250 soccer players' transfers (according to transfer fee) in each soccer season from 2006/17 to 2019/20, in total 14 seasons. Data source: Transfermarkt

A collection of information about each soccer match. DataSet contains statistics from all major European soccer leagues. (Premier League, Bundesliga, Ligue 1, Serie A, LaLiga and much more) Some example of data are: Score, Odds, Ball Possession, Goal Attempts, Shoots, Free Kicks, and much more

This is an email list of golf professionals nationwide.  It has 2,682 contacts.  It contains their full name and email.

This is an email list of golfers nationwide.  The email list contains 468 golfers.  The list contains their full name, email, some business names, and some location.

OVER 4400 FIGHTS in UFC and Bellator from 2007 to 2020. Includes the fighters, who won, how they won, the given odds (from Bovada), the weight class, and the computed pound-for-pound rank of the fighters at the time of the fight.   The encoding of the weight classes are as follows:   WOMAN STRAWWEIGHT -> ws WOMEN FLYWEIGHT -> wf WOMEN BANTAMWEIGHT -> wb WOMEN FEATHERWEIGHT -> wr WOMEN ATOMWEIGHT -> wa STRAWWEIGHT -> s FLYWEIGHT -> f BANTAMWEIGHT -> b FEATHERWEIGHT -> r LIGHT HEAVYWEIGHT -> y LIGHTWEIGHT -> l WELTERWEIGHT -> w MIDDLEWEIGHT -> m CATCHWEIGHT -> c HEAVYWEIGHT -> h   The encoding of the win methods are as follows:   SUBMISSION -> s TKO -> t KO -> k UNANIMOUS DECISION -> u SPLIT DECISION -> d MAJORITY DECISION -> m DRAW -> w NO CONTEST -> n    

Over 4400 fights in UFC and Bellator from 2007 to 2020. Includes the fighters, who won, how they won, the given odds (from Bovada), the weight class, and the computed pound-for-pound rank of the fighters at the time of the fight. The encoding of the weight classes are as follows: WOMAN STRAWWEIGHT -> ws WOMEN FLYWEIGHT -> wf WOMEN BANTAMWEIGHT -> wb WOMEN FEATHERWEIGHT -> wr WOMEN ATOMWEIGHT -> wa STRAWWEIGHT -> s FLYWEIGHT -> f BANTAMWEIGHT -> b FEATHERWEIGHT -> r LIGHT HEAVYWEIGHT -> y LIGHTWEIGHT -> l WELTERWEIGHT -> w MIDDLEWEIGHT -> m CATCHWEIGHT -> c HEAVYWEIGHT -> h   The encoding of the win methods are as follows: SUBMISSION -> s TKO -> t KO -> k UNANIMOUS DECISION -> u SPLIT DECISION -> d MAJORITY DECISION -> m DRAW -> w NO CONTEST -> n  

Contact list of over 500 University Athletic Equipment Managers. Equipment manager name, phone, email, and address provided. List is a free sample. Please contact in the questions area if you would like to purchase a large list.

Names and emails of over 10,000 college athletic trainers in the US. Solid email list for anyone looking to do direct email marketing for any sports and training products. Data was collected through web scraping of university websites. All emails were varified in Oct 2017. List brokers charge in the thousands for contact lists of this quality.