The dataset consist of the information about all the matches played between each teams in the FIFA World Cup 2018. Various variables are present in the dataset includes team, opponent team, ball possession, passes, free kicks, goal scored, corners, goals, 1st goal time etc.

It comprises of 3456 observation.

• Performance of team in the World Cup.
• Number of matches each team played, number of matches each team won in the World Cup.
• Number of Goals Scored, Attempts taken by team to score a goal, Number of shoots which are On-Taget and Off-Target.
• Number of free kicks, passes, saves done by a team.
• Number of matches where Penalty Shoot Out was taken
• Created graph for each analysis which is easy to undersatnd.
• Created new columns: - "Winning Team" and "Won Team" based on "Man Of Match Column"
• After EDA, I applied Logistic Regression to predict whether the team will Win.
• Model Evaluation by Confusion Matrix and craeted Decision Tree of Data Set.

The dataset consist of the information about all the matches played between each teams in 11 editions of IPL(2008-2018). Various variables are present in the dataset includes id, season, teams, toss winner, decision, match results, player of the match, venue, umpire 1 , umpire2, umpire3 etc.

• Performance of each team in 11 IPLs (2008-18) and also found the best player for each team.
• Performance of each team on home ground matches and away matches.
• Performance of team after winning the toss, if they won the toss what they elected batting or fielding.
• Performance of team while batting 1st and bowling 1st.
• Number of matches where decision was taken by DL method
• Saw the results of match whether it's normal, tie(decision was taken bt super over), no result(Match abandon)
• Done year wise performance of each team from 2008-2018.
• Number of teams participated in each year of IPL from 2008-2018.