In the English Premier League, the Golden Boot is awarded to the player(s) who scores the most league goals throughout the season. Since the 1888/89 season, the year of the first top flight season in English football, 109 different individuals have been named "top goal scorer" over 127 seasons. In the 2024/25 season, Liverpool's Mohamed Salah won the Golden Boot for the fourth time in eight seasons. Manchester City's Erling Haaland was the top goalscorer in the previous two seasons, including his record-breaking tally of 36 goals in his debut season in 2022/23. Premier League records Current records are generally given in the context of the past three decades, as the total number of games was reduced from 42 to 38 per season in 1995 (in the Premier League's fourth season). In the Premier League era, Thierry Henry and Mohamed Salah have won the Golden Boot more times than anybody else, winning this accolade four times each. Alan Shearer, who won three consecutive Golden Boots in the 90s, is the Premier League's all-time top goal scorer, with 260 goals. Interestingly, Wayne Rooney, who is the Premier League's third-highest goal scorer of all time, never won a Golden Boot. All-time records Outside the Premier League era, Jimmy Greaves has been the top scorer in England more times than any other player, appearing at the top of the list six times between 1958 and 1969, during his career with Chelsea and Tottenham Hotspurs. Derby County's Steve Bloomer finished five seasons as the league's top scorer between 1895 and 1904. The highest ever tally in a single season was sixty goals, which was scored by Everton's Dixie Dean in the 1927/28 season. Greaves, Bloomer, and Dean are also the three top goalscorers of all time in the English league, with 357, 314 and 310 goals respectively. Players from Tottenham have been named top scorer more than players from any other club, appearing 13 times on this list. 20 different nationalities are represented here, and although the vast majority of players are English, there were 16 times where the top scorer in the First Division was Scottish. A much wider variety of nationalities has been represented in recent years, including in the 2018/19 season where it was shared between three players from different African nations.

As of 2024, Alan Shearer was the Premier League's all-time top scorer, with a career total of 260 goals. The former Newcastle United forward lifted the league title with Blackburn Rovers in 1995. Meanwhile, Harry Kane scored his 200th Premier League goal in early 2023, becoming Tottenham Hotspur's all-time top scorer in his last season at the club.

In 2023/24, Erling Haaland won the race for the Premier League Golden Boot, with 27 goals. In the previous season, Haaland broke the record for the most goals scored in a single Premier League season, with 36.

As of 2023, the youngest goal scorer in Premier League history James Vaughan, who scored against Crystal Palace while playing for Everton in 2005. At the time, the English forward was 16 years and 270 days old.

Premier League Players Performance Dataset

This dataset provides a comprehensive overview of player performance in the Premier League capturing a wide array of metrics related to gameplay, scoring, passing, and defensive actions. With records detailing individual player statistics across different teams, this dataset is a valuable resource for analysts, data scientists, and fans who are interested in diving into player performance data from one of the world’s top soccer leagues.

Each entry represents a single player's profile, featuring data on expected goals (xG), expected assists (xAG), touches, dribbles, tackles, and more. This dataset is ideal for analyzing various aspects of player contribution, both offensively and defensively, and understanding their impact on team performance.

Dataset Columns

Player: Name of the player Team: Team the player belongs to '#' : Player's jersey number Nation: Nationality of the player Position: Primary playing position on the field Age: Age of the player Minutes: Total minutes played Goals: Number of goals scored Assists: Number of assists Penalty Shoot on Goal: Penalty shots taken on goal Penalty Shoot: Total penalty shots attempted Total Shoot: Total shots attempted Shoot on Target: Shots successfully on target Yellow Cards: Number of yellow cards received Red Cards: Number of red cards received Touches: Total ball touches Dribbles: Total dribbles attempted Tackles: Total tackles made Blocks: Total blocks Expected Goals (xG): Expected goals, calculated based on shooting positions and likelihood of scoring Non-Penalty xG (npxG): Expected goals excluding penalties Expected Assists (xAG): Expected assists, based on actions leading to an expected goal (xG) Shot-Creating Actions: Actions leading to a shot attempt Goal-Creating Actions: Actions leading to a goal Passes Completed: Successful passes completed Passes Attempted: Total passes attempted Pass Completion %: Pass completion rate, expressed as a percentage (some entries have missing values here) Progressive Passes: Passes advancing the ball significantly toward the opponent’s goal Carries: Total ball carries Progressive Carries: Carries advancing the ball significantly toward the opponent’s goal Dribble Attempts: Total dribbles attempted Successful Dribbles: Total successful dribbles Date: Date of record collection or game date

Potential Use Cases

Data Visualization: Explore relationships between various performance metrics to identify patterns.

Player Comparisons: Compare individual players based on goals, assists, xG, xAG, and other metrics.

Team Analysis: Evaluate contributions of players within the same team to gain insights into team dynamics.

Predictive Modeling: Use the dataset to build models for predicting game outcomes, goals, or assists based on player performance metrics.

Data Guide: Premier League Match Statistics

Welcome to the Premier League Match Statistics dataset! ⚽ This guide will help you understand the structure of the dataset, key variables, and how to make the most of the data for analysis and predictions.

This dataset contains detailed match statistics from the English Premier League, including final scores, player statistics, team performance, goals, yellow cards, red cards, and more. It is ideal for analyzing team performance, predicting match outcomes, and exploring trends in football. This dataset is valuable for football enthusiasts, data analysts, and predictive model developer.

1. Dataset Overview

This dataset provides comprehensive match statistics from the English Premier League, including team performance, player stats, goals, assists, yellow/red cards, and more. It is ideal for football enthusiasts, analysts, and machine learning projects.

2. Data Structure

The dataset consists of multiple columns, each representing different aspects of a match:

Additional columns may provide more in-depth insights.

3. How to Use This Dataset?

Here are some ideas to explore using this dataset:
✅ Analyze team performance trends over different seasons.
✅ Predict match outcomes using machine learning models.
✅ Identify key players based on goals, assists, and ratings.
✅ Explore disciplinary records (yellow/red cards) for fair play analysis.

4. Data Limitations

• This dataset focuses only on the English Premier League.
• Some matches may have missing or incomplete data.
• Real-time updates may not be available immediately after matches.

Explore the epic showdown between Messi and Cristiano: goals, assists, averages, and more. A deep dive into the stats that define their legacy.

All-time top Bulgaria national football team goal scorers complete list

As of February 2025, the quickest goal ever scored in the Premier League was Shane Long's opener against Watford in April 2019, coming in just 7.69 seconds. The second-fastest goal was scored by Philip Billing, who scored 9.11 seconds into AFC Bournemouth's match against Arsenal in March 2023.

Analysis of ‘English Premier League(2020-21)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/rajatrc1705/english-premier-league202021 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context

This dataset is a collection of basic but crucial stats of the English Premier League 2020-21 season. The dataset has all the players that played in the EPL and their standard stats such as Goals, Assists, xG, xA, Passes Attempted, Pass Accuracy and more! Do upvote if you like it!

Content

Inspiration

There are several directions you can take with this dataset: 1) Find out which team has the most aggressive defenders (or players for that matter) 2) Which team had more players in the top 10 most assists chart 3) Who were the players with most attempted passes 4) Which players had the most accurate passes excluding the goal keeper and the defenders 5) Defenders with most goals!! 6) Which nation had the most aggressive players? the possibilities are endless, create a notebook and explore them!

--- Original source retains full ownership of the source dataset ---

Description

This dataset contains detailed player performance statistics for the 2023-2024 season from the Big 5 European soccer leagues: Premier League, La Liga, Serie A, Bundesliga, and Ligue 1. The data has been meticulously scraped from FBref.com, a comprehensive source for soccer statistics.

Columns and Metrics:

• Rank: The rank of the player based on performance metrics.
• Player: Name of the player.
• Nation: Nationality of the player.
• Position: Playing position of the player.
• Squad: Club the player belongs to.
• Competition: League the player is competing in.
• Age: Age of the player.
• Year_Born: Year the player was born.
• Playing Time_MP: Matches played.
• Playing Time_Starts: Matches started.
• Playing Time_Min: Minutes played.
• Playing Time_90s: Equivalent of 90-minute matches played.
• Performance_Gls: Goals scored.
• Performance_Ast: Assists.
• Performance_G+A: Goals plus assists.
• Performance_G-PK: Goals excluding penalties.
• Performance_PK: Penalty kicks made.
• Performance_PKatt: Penalty kicks attempted.
• Performance_CrdY: Yellow cards.
• Performance_CrdR: Red cards.
• Expected_xG: Expected goals.
• Expected_npxG: Non-penalty expected goals.
• Expected_xAG: Expected assists.
• Expected_npxG+xAG: Non-penalty expected goals plus expected assists.
• Progression_PrgC: Progressive carries.
• Progression_PrgP: Progressive passes.
• Progression_PrgR: Progressive dribbles.
• Per 90 Minutes_Gls: Goals per 90 minutes.
• Per 90 Minutes_Ast: Assists per 90 minutes.
• Per 90 Minutes_G+A: Goals plus assists per 90 minutes.
• Per 90 Minutes_G-PK: Goals excluding penalties per 90 minutes.
• Per 90 Minutes_G+A-PK: Goals plus assists excluding penalties per 90 minutes.
• Per 90 Minutes_xG: Expected goals per 90 minutes.
• Per 90 Minutes_xAG: Expected assists per 90 minutes.
• Per 90 Minutes_xG+xAG: Expected goals plus expected assists per 90 minutes.
• Per 90 Minutes_npxG: Non-penalty expected goals per 90 minutes.
• Per 90 Minutes_npxG+xAG: Non-penalty expected goals plus expected assists per 90 minutes.

I am passionate about soccer and have created this dataset in the hope that it can be useful for others who share my love for the game. Whether you're conducting analysis, building models, or just exploring player stats, I hope this dataset provides valuable insights and serves as a helpful resource.

As of January 2025, Leicester City's Jamie Vardy held the record for the longest goal scoring run in Premier League history, scoring in 11 consecutive games in the 2015/16 season. Meanwhile, Ruud van Nistelrooy scored in 10 consecutive games for Manchester United in 2003.

Analysis of ‘Premier League Matches 2014-2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/sanjeetsinghnaik/premier-league-matches-20142020 on 28 January 2022.

--- Dataset description provided by original source is as follows ---

The Premier League is by far one of the world’s most entertaining leagues. They have some of the best managers, players and fans! But, what makes it truly entertaining is the sheer unpredictability. There are 6 equally amazing teams with a different team lifting the trophy every season. Not only that, the league has also witnessed victories from teams outside of the top 6. So, let us analyze some of these instances.

So far, the implementation of statistics into soccer has been positive. Teams can easily gather information about their opponents and their tactics. This convenience allows managers to create well-thought out game plans that suit their team, maximize opponents' weaknesses, and increase their chances of winning.

A goal is scored when the whole of the ball passes over the goal line, between the goalposts and under the crossbar, provided that no offence has been committed by the team scoring the goal. If the goalkeeper throws the ball directly into the opponents' goal, a goal kick is awarded.

THE TIME OF SEASON/MOTIVATION: While a club battling for a league title is going to be hungry for a win, as is a side that is fighting to stay up, a club that has already won the title or has already been relegated is unlikely to work as hard, and often rest players as well. THE REFEREE: Of course, when referee's send players off it make a massive impact on a match, but even if he is just awarding a yellow card then it can affect the outcome of the game as the player booked is less likely to go in as hard for the rest of the match.

SUBSTITUTES: The whole point of substitutes is for them to be able to come on and impact a match. Subs not only bring on a fresh pair of legs that are less tired than starters and more likely to track back and push forward, but can also play crucial roles in the formation of a team.

MIND GAMES/MANAGERS: Playing mind games has almost become a regular routine for top level managers, and rightly so. Just a simple mind game can do so much to impact a match, a good example coming from Sir Alex Ferguson.

Per his autobiography, when Manchester United were losing late on in a match at a certain point he would tap his watch and make sure to let the opposition know he is signalling this to his players. United's opposition already know that United have a tendency to come back from behind, and upon seeing this gesture they will think that United are going to come back. And because scientific studies prove that living creatures are more likely to accept things that have happened before than not - horses are more likely to lose to a horse they have already lost to in a race even if they are on an even playing field - they often succumb to a loss.

FORM/INJURIES/FIXTURES: A team on better form is more likely to win a match than if they have been on a poor run of form, while a team in the middle of a condensed run of fixtures is less likely to win than a well rested team. These are just some of the things that affect matches - if you have any other just mention them in the comment section below and I'll try to add them in!

--- Original source retains full ownership of the source dataset ---

As of September 2024, Harry Kane was England's all time top goal scorer, with 68 goals in total. Kane is also the all time top scorer for Premier League side Tottenham Hotspur.

Explore the assists competition (Opta criteria) between Messi and Cristiano. Who leads in creating goal-scoring opportunities?

Discover the assists battle (Transfermarkt criteria) between Mbappé and Haaland. Who excels in creating goal-scoring opportunities?

Explore the assists competition (Opta criteria) between Messi and Cristiano. Who leads in creating goal-scoring opportunities?

Wayne Rooney tops the list of all-time goal-scorers for Manchester United, having scored 253 times in 559 appearances for the club. In second place is legendary player, Sir Bobby Charlton, who scored 249 times in 758 appearances. These appearances put him second in the list of all-time games played for the Red Devils. At the top of this list is Welshman Ryan Giggs, who played 963 times for United between 1991 and 2016.

Premier League giants Manchester United are currently the record title winners in the English top flight, having won the division a total of 20 times since 1888. Most of these wins came after the inception of the Premier League at the start of the 1992/93 season under the leadership of manager Sir Alex Ferguson. Indeed, United’s most recent title came in the 2012/13 season, which was Ferguson’s final season of management before his retirement. Since United's last Premier League title, local rivals Manchester City have lifted the trophy on multiple occasions, most recently in the 2022/23 season.

Cup successes Based on their success on the pitch, Manchester United have cemented themselves as one of the biggest club teams in the world. Alongside their success in the league, they have won the FA Cup 12 times, only two behind record winners, Arsenal. Their titles also reach beyond British shores as they have won the European Cup on three occasions, most recently in 2008. However, the undisputed kings of the Champions League are Real Madrid, who have taken home the trophy on 14 occasions, including four out of five times between 2013 and 2018.

Explore the assists competition (Transfermarkt criteria) between Messi and Cristiano. Who leads in creating goal-scoring opportunities?

Delve into the rise of Mbappé and Haaland: goals, assists, averages, and more. A comparative analysis of two emerging football talents.