During the 2022 FIFA Men's World Cup in Qatar, the Australian team, the 'Socceroos', played a total of four matches. During those matches, midfielder Aaron Mooy topped the team rank for the number of passes with 200 passes, while Craig Goodwin made the most crosses with 19.

The dataset contains FIFA Women’s World Cup Stats from 1991 to 2019.

The data was collected from Sports Reference then cleaned for data analysis.

Tabular data includes: - squad - year - players - age - possession - matches_played - starts - min_playing_time - minutes_played_90s - goals - assists - non_penalty_goals - penalty_kicks_made - penalty_kicks_attempted - yellow_cards - red_cards - goals_per_90: Runs allowed - assists_per_90 - goals_plus_assists_per_90 - goals_minus_penalty_kicks_per_90 - goals_plus_assists_minus_penalty_kicks_per_90

Context

I wanted to create a unique dataset which had not been made before. I was thinking about it for many days as to which data I should work upon because anything I was thinking was already there so I came up with this FIFA VAR dataset. I just wanted to keep it one hundred. VAR arrived in the Premier League in the season 19-20 and caused much controversy, with a total of 109 goals or incidents directly affected by the video ref.

What will the VAR review? - Goal/no goal - Penalty/no penalty - Direct red card (not second yellow card/caution) - Mistaken identity (when the referee cautions or sends off the wrong player)

What will it not review? - Any yellow card (including second yellow card leading to red) - Any free kick offence outside the box (other than red card offence)

Content

There are in all 2 files: 1. VAR_Incidents_Stats: This file contains the information about the various incidents that led to the inclusion of VAR in a football match. It contains 7 columns namely: - Team- Name of the team for which VAR was applied - Opponent Team - Name of the Opponent team for which VAR was applied - Date- The date when the match between team and opponent team was played - Site- Match was played Home(H) or Away(A) with respect to the Team - Incident- Description of the incident that led to the usage of VAR facility - Time- Time during the match when VAR was used or the incident happened - VAR used - VAR was used FOR or AGAINST with respect to the Team

1. VAR_Team_Stats: This file contains the statistics as to how VAR was used for a Team. It contains 10 columns namely:
2. Team - Name of the team for which VAR was applied
3. Overturns- How many times was the on field referees decision was overturned by the VAR
4. Leading to goals for - VAR Decisions that Lead to goal for the team
5. Disallowed goals for - VAR Decisions that Disallowed goals for the team
6. Leading to goals against - VAR Decisions that Leading to goals against the team
7. Disallowed goals against - VAR Decisions that Disallowed goals against the team
8. Net goal score - Total FOR and AGAINST VAR Decisions that led to a Goal
9. Subjective decisions for - VAR Subjective decisions for the team
10. Subjective decisions against - VAR Subjective decisions against the team
11. Net subjective score - Total FOR and AGAINST VAR Subjective Decisions

Acknowledgements

Data has been scraped from https://www.espn.in/football/english-premier-league/story/3929823/how-var-decisions-have-affected-every-premier-league-club.

Inspiration

• Has VAR been a good edition to the Premier League or Football in General?
• Has VAR been biased to any specific team?
• Is VAR improving with its decisions overtime?
• The name of the player on whom VAR has been used the most(FOR or AGAINST)?
• VAR has been used the most for which specific reason(Read cards, penalties, etc)?
• VAR has been used more on defenders, forwards, goalkeepers..?

Data used for the paper entitled "Home advantage for tournament victory: Empirical evidence from FIFA Confederations and World Cups" Date Submitted: 2022-11-04

At the latest World Cup in Russia in 2022, an average of 2.69 goals per game. The highest ever goals to game ratio was during the 1954 World Cup in Switzerland, where an average of 5.38 goals were scored in each of the 26 games. This number can be attributed to some unusually high-scoring games, which included Austria 7 Switzerland 5 and Hungary 9 South Korea 0. The final between West Germany and Hungary clocked in at a below-average 3-2.

World Cup goal-festsThe 171 goals scored during the 2014 World Cup in Brazil equals the record for the most goals in a single World Cup along with France 1998. The World Cup in France was also the first tournament which included 64 teams in the main event, a vast increase on the 18 teams that took part in the very first World Cup in Uruguay in 1930.

World Cup goal kingsGermany’s Miroslav Klose holds the record for the most goals ever scored at the World Cup. The striker scored his sixteenth and record-breaking goal in Germany's 7-1 semi-final demolition of Brazil during the 2014 World Cup. His first World Cup goals came 12 years earlier at the World Cup in South Korea and Japan in 2002. He scored a hat-trick during Germany’s 8-0 victory against Saudi Arabia in the group stage and went on to score two more goals during the tournament. The top goal scorer at the 2002 World Cup was Brazil’s Ronaldo, who comes in at second on the all-time leading scorers at the World Cup.

Context

I thought of consolidating and sharing this public data to see how the data science world uses it discover interesting patterns. The data has been collected from 2018 FIFA World Cup Russia Official App.

Content

The data will be updated after each match daily.

Note: On the column '1st Goal', any goal that was scored in the extra time will be denoted as 45 or 90 based on 1st or 2nd half of the game (ex. if 1st goal was scored in 45+2 mins then it will be mentioned as 45 instead of 47, likewise for the 2nd half)

Acknowledgements

Thanks to the FIFA 2018 World Cup App.

Inspiration

I thought of consolidating and sharing this public data to see how the data science world uses it discover interesting patterns. Can we predict the Man of the match award using this statistics before the official announcement that will be made right after the match?

This dataset contains comprehensive information on the teams participating in the UEFA Euro 2024 tournament. It includes details about each team, their group stage placement, FIFA rankings, captains, head coaches, pre-tournament forms, and average player age.

Columns Description:

• FIFA Ranking: Pre-tournament FIFA ranking of the team
• Team: Name of the team
• Total Points: Points in the pre-tournament FIFA ranking
• Previous Points: Points in the previous FIFA ranking
• Change in Points: Difference between points in Total Points and Previous Points
• Base Camp: Location for training and residency for the duration of UEFA Euro 2024
• Training Ground: Home training ground for the duration of UEFA Euro 2024
• Qualified as: Status under which the team has qualified for UEFA Euro 2024
• Previous appearances: Number of times the team has qualified for previous editions of UEFA Euro Championship
• Manager Name: Name of the manager of the team
• Installation (in years): Number of years the current manager has been coaching the team (rounded down an integer number of years)
• Group: Group in UEFA Euro 2024
• Average Age: Average age of the squad
• Captain: Captain of the team
• Recent Form: Record of wins, draws and losses in the 10 most recent matches played by the team (Friendlies included)

The graph depicts the investment budget share of the International Federation of Association Football (FIFA) for the 2022 FIFA World Cup Qatar as of 2021, sorted by segment. In total, ** percent of the budget was allocated for tournament prize money. The total investment budget for the 2022 FIFA World Cup Qatar amounts to over **** billion U.S. dollars.

Context

FIFA is a non-profit organization which describes itself as an international governing body of association football, futsal and beach soccer. It is the highest governing body of association football.

Content

This FIFA dataset show all information about players playing in major clubs across major leagues/ countries (Players available in FIFA 21), their personal information and professional traits in the game.

Acknowledgements

Github Link: https://github.com/4m4n5/fifa18-all-player-statistics Similar to : https://www.kaggle.com/karangadiya/fifa19 Websites : sofifa and fifa index websites.

Inspiration

Initial task would be to create visualizations and use statistics and predictive modelling to predict wages of players and to generate insights/categorise players based of actual/predicted wages.

Valvoline Global becomes an official supporter of the FIFA World Cup 2026, marking its first engagement with an event of this scale, aligning with its global presence and innovative vision.

During a November 2022 survey in the United States, over ************** of respondents stated that they had no intention of placing a bet or wager on the 2022 FIFA World Cup. Meanwhile, ** percent of respondents intended to place a wager during the tournament.

Context

The FIFA Ballon D'Or (Golden Ball) is a trophy for the best football player in the calendar year. The awarding was canceled in 2020 due to a pandemic, and this year there are several players who stand out in odds of winning the prize. Messi won Copa America, Lewandowski broke the record of Gerd Muller of goals scored in Bundesliga, Jorginho won Champions League and Euro, Salah is in amazing form in the outgoing season, etc...

On the 8. October, the list of 30 finalists was revealed. The announcement of the winner will be held in Paris on 29. November.

Content

I created a dataset containing statistics of each of the 30 candidates. In the dataset are included both matches from clubs as well as from national competitions.

Inspiration

As the ceremony approaches, it is increasingly interesting to predict who will win the most prestigious individual award in football? Can numbers give that answer?

A total of 172 goals were scored during the 2022 World Cup in Qatar, marking a new record for the tournament. This was three more goals than the previous tournament in 2018.

Goals galore The highest ever goals to game ratio was set during the 1954 World Cup in Switzerland, where an average of 5.38 goals were scored in each of the 26 games. Some of the highest scoring games during this tournament included Austria 7-5 Switzerland and Hungary 9-0 South Korea. The honor of the World Cup's all time top goal scorer belongs to Germany's Miroslav Klose. The iconic striker scored a total of 16 goals across four World Cups, with his 16th and record-breaking goal coming in Germany's semi-final demolition of Brazil in 2014.

Goal droughts At the other end of the scale, the 1990 World Cup had the fewest average goals per match, with the ball hitting the back of the net 115 times in 52 matches, or around 2.21 goals per game. The fewest goals scored in a single tournament stands at 70, which occurred at the first two World Cups in 1930 and 1934. This can be explained by the fact that only 13 and 16 teams respectively took part in the finals, and so fewer games were played overall.

Context

The dataset provided include players data for the ultimate team mode in FIFA 22 .

Columns Description

here is a description of some columns in the dataset : - Ratings : Player Rating - Position : Player Position - Version : Card Version - PS : Price on Playstation , if 0 then it is not available in market - SKI : Skills rating of player ( from 0 to 5 ) - WF : Weak Foot Skills ( from 0 to 5 ) - WR : Work rate of player on the field , and given in the formula ( Attack Work rate / Defence Work rate ) , each value can be ( low , medium , high ) - PAC : Player Pace (Speed) - SHO : Player Shooting power
- PAS : Player Pass - DRI : Player Dribble - DEF : Player Defence - PHY : Player Physicality - Body : player height given in cm and feet followed by type of body of player ( for some players the game have custom body for them ) - Popularity : popularity of using the player - BS : Base stats - IGS : In game stats

Context

The dataset provided include players data for the ultimate team mode in fifa 21 .

Columns Description

here is a description of some columns in the dataset : - RAT : Player Rating - POS : Player Position - VER : Card Version - PS : Price on Playstation , if 0 then it is not available in market - SKI : Skills rating of player ( from 0 to 5 ) - WF : Weak Foot Skills ( from 0 to 5 ) - WR : Work rate of player on the field , and given in the formula ( Attack Work rate / Defence Work rate ) , each value can be ( low , medium , high ) - PAC : Player Pace (Speed) - SHO : Player Shooting power
- PAS : Player Pass - DRI : Player Dribble - DEF : Player Defence - PHY : Player Physicality - Body_info : player height given in cm and feet followed by type of body of player ( for some players the game have custom body for them ) - Popularity : popularity of using the player - BS : Base stats - IGS : In game stats

About this dataset

  Context

The datasets provided include the players data for the Career Mode from FIFA 15 to FIFA 23. The data allows multiple comparisons for the same players across the last 9 versions of the video game. Some ideas of possible analysis:

Historical comparison between Messi and Ronaldo (what skill attributes changed the most during time - compared to real-life stats); Ideal budget to create a competitive team (at the level of top n teams in Europe) and… See the full description on the dataset page: https://huggingface.co/datasets/jsulz/FIFA23.

This dataset contains detailed league performance statistics for the nominees of the 2024 Ballon D'Or across major European football leagues. The stats cover the 2023-2024 season, showcasing metrics such as goals, assists, expected goals (xG), expected assists (xAG), progression metrics, and more.

Men's Ballon d'Or 2024 Nominees:

• Jude Bellingham (England, Real Madrid)
• Hakan Çalhanoğlu (Turkey, Inter)
• Dani Carvajal (Spain, Real Madrid)
• Rúben Dias (Portugal, Manchester City)
• Artem Dovbyk (Ukraine, Dnipro / Girona / Roma)
• Phil Foden (England, Manchester City)
• Alejandro Grimaldo (Spain, Bayer Leverkusen)
• Erling Haaland (Norway, Manchester City)
• Mats Hummels (Germany, Borussia Dortmund)
• Harry Kane (England, Bayern Munich)
• Toni Kroos (Germany, Real Madrid)
• Ademola Lookman (Nigeria, Atalanta)
• Emiliano Martínez (Argentina, Aston Villa)
• Lautaro Martínez (Argentina, Inter )
• Kylian Mbappé (France, Paris Saint-Germain / Real Madrid)
• Martin Ødegaard (Norway, Arsenal)
• Dani Olmo (Spain, Leipzig / Barcelona)
• Cole Palmer (England, Manchester City / Chelsea)
• Declan Rice (England, Arsenal)
• Rodri (Spain, Manchester City)
• Antonio Rüdiger (Germany, Real Madrid)
• Bukayo Saka (England, Arsenal)
• William Saliba (France, Arsenal)
• Federico Valverde (Uruguay, Real Madrid)
• Vinícius Júnior (Brazil, Real Madrid)
• Vitinha (Portugal, Paris Saint-Germain)
• Nico Williams (Spain, Athletic Club)
• Florian Wirtz (Germany, Bayer Leverkusen)
• Granit Xhaka (Switzerland, Bayer Leverkusen)
• Lamine Yamal (Spain, Barcelona)

The winner of the Men's Ballon d'Or goes to the best male player voted by a panel of soccer journalists representing the top 100 countries in the FIFA Men's Rankings.

The Ballon d'Or ceremony will be held on Oct. 28, 2024.

For the first time since 2003, though, Cristiano Ronaldo and Lionel Messi were not included among the nominees!

Dataset

This dataset was created by Dhrumil Patel

Released under CC0: Public Domain

Contents

The 64 matches of the 2022 FIFA World Cup were watched by an average of almost **** million viewers on FOX in the United States. This marked an increase of around 30 percent on the viewership from the previous tournament in 2018.

How many games in the World Cup?

The 1998 World Cup Finals in France saw a change to the format that had been used for the previous four tournaments. The format for the finals was initially changed for the 1982 World Cup in Spain in which 24 teams participated. The current format, first implemented in France 1998, sees 32 teams split into eight groups of four. As a result, the last six editions of the World Cup, including the latest World Cup in Russia in 2022, featured 64 games.

World Cup goal fests

A total of 171 goals were scored across the 2014 FIFA World Cup held in Brazil, marking a joint record for the tournament along with France 1998. The goal-fest in 2014 was thanks to some unusually high-scoring games, including Netherlands beating Spain 5-1 in the group stages and, most famously, Germany embarrassing Brazil 7-1 at the semi-final stage. The 2014 World Cup in Brazil also holds the record for the most amount of different scorers in a single tournament with 121 players.

World Cup goal-scorers

One of the most notable scorers at the 2014 World Cup was Germany’s Miroslav Klose, who became the leading goal-scorer of all time in World Cups, with his record-breaking 16th goal coming in that infamous semi final against Brazil. The top goal-scorer at the last World Cup in 2018 was England captain, Harry Kane. The forward scored six goals across the tournament, including a hattrick in England’s 6-1 drubbing of Panama. However, his goal-scoring exploits did not stop England from falling short of glory as they were knocked out by Croatia in the semi-finals.