Fifa18-Players-Ratings Context Dataset for people who love data science and have grown up playing FIFA.
Content Every player featuring in FIFA 18 70+ attributes Player and Flag Images Playing Position Data Attributes based on actual data of the latest EA's FIFA 18 game Attributes include on all player style statistics like Dribbling, Aggression, GK Skills etc. Player personal data like Nationality, Photo, Club, Age, Wage, Salary etc. Upcoming Update will Include :
Team (National and Club) Data Player Images in Zip folder Betting Odds The dataset contains all the statistics and playing attributes of all the players in the Full version of FIFA 18.
Data Source The data is scraped from the website https://sofifa.com by extracting the Player personal data and Player Ids and then the playing and style statistics.
Possible Explorations Make your dream team Analyse which Club or National Team has the best-rated players Assess the strength of a team at a particular position Analyse the team with the best dribbling speed Co-relate between Age and Overall rating Co-relate between Age and Nationality Co-relate between Age and Potential Could prove of immense value to Fantasy Premier League enthusiasts.
These are just basic examples, sky is the limit.
Acknowledgements The data has been crawled from the https://sofifa.com website.
Inspiration Several insights and correlations between player value, wage, age, and performance can be derived from the dataset. Furthermore, how do the players in this dataset compare against themselves in last year's dataset?
Introduction The project is for people who love data science and have grown up playing soccer and are FIFA enthusiasts. The data is scraped from the website https://sofifa.com by extracting the Player personal data, followed by Player IDs and their playing and style statistics.
Insights and correlations between player value, wage, age, special attributes, and performance can be derived from the dataset. This uninterpreted data can be converted into information by analysing it. I have derived summary statistics for teams, clubs, & players. Through extensive Soccer experience: the insights provided in our results, alongwith understanding, and contextualized information enables users to act smartly when playing FIFA, picking a better team for say Fantasy Premier league, or increase their betting odds.