Resources & References

Comprehensive guide to understanding football statistics and analysis methodology

Football Statistics Glossary

Hover over any term to see its definition

Goals/90 Minutes (Gls/90)
Goals scored per 90 minutes of playing time. This normalizes goal output regardless of total minutes played, making it the fairest comparison metric for player efficiency across different playing times. A player with 10 goals in 900 minutes (1.0 goals/90) is more efficient than one with 15 goals in 2,700 minutes (0.5 goals/90).
Assists/90 Minutes (Ast/90)
Assists provided per 90 minutes of playing time. Measures a player's creative contribution and ability to set up teammates for scoring opportunities, normalized for fair comparison. This metric reveals which players are most effective at creating chances when on the pitch.
xG (Expected Goals)
A statistical metric that quantifies the quality of scoring chances a player has had based on factors like shot location, angle, body part used, and type of assist. An xG of 1.5 means a player had chances that a typical player would be expected to score 1.5 goals from. Comparing actual goals to xG measures finishing ability.
npxG (Non-Penalty Expected Goals)
Expected goals excluding penalty kicks, providing a clearer picture of a player's open-play finishing ability and shot creation without the influence of penalty situations. Since penalties are high-percentage chances, npxG better reflects a player's ability to create and convert chances in regular play.
xAG (Expected Assisted Goals)
Measures the quality of passes that lead to shots, indicating how likely those passes are to result in goals. A pass leading to a shot from 6 yards has higher xAG than one from 30 yards. This helps evaluate creative contribution beyond just assist numbers - a player with high xAG but low assists may be unlucky or have teammates with poor finishing.
Minutes Played (Min)
Total time on the pitch across all appearances during the season. Higher minutes generally indicate greater importance to team tactics, fitness levels, and manager trust. Key players often play 2,500+ minutes in a 38-game season.
G+A (Goals Plus Assists)
Combined total of goals scored and assists provided, representing a player's total direct contribution to team goal-scoring efforts throughout the season. This is a simple but effective measure of offensive impact.
90s
Number of full 90-minute matches played (total minutes รท 90). Used as the denominator for per-90 statistics. A player with 1,800 minutes has played 20 "90s".
MP (Matches Played)
Total number of matches a player appeared in, regardless of minutes played. A player could have 20 MP but only 500 minutes if used primarily as a substitute.
Starts
Number of matches where the player was in the starting XI. Comparing Starts to MP shows how often a player comes off the bench versus starting matches.
Squad Total
Collective team statistics showing overall performance metrics. Useful for comparing team-level efficiency and tactical approaches between different squads. Shows the combined output of all players.

Analysis Methodology

Data Collection

All statistics were sourced from FBREF, which aggregates data from Opta Sports. Data includes all Premier League matches from the 2024/25 season through May 2025.

Normalization

To ensure fair comparison between players with different playing times, key metrics (goals, assists) were normalized per 90 minutes. This allows direct comparison of efficiency regardless of total minutes.

Player Selection

The comparison table features the top performers from each team based on goals per 90 minutes, ensuring representation of the most impactful attacking players from both squads.

Expected Metrics

Expected Goals (xG) and Expected Assisted Goals (xAG) provide context beyond raw numbers, helping identify players who over or under-perform relative to the quality of chances they receive or create.

Defensive Analysis

While this analysis focuses on offensive metrics, defensive performance was considered through goals conceded data. Arsenal's defensive superiority (34 vs 42 goals) proved decisive.

Contextual Factors

Squad age, injury records, and playing style were considered alongside raw statistics to provide comprehensive understanding of why Arsenal finished above City.

External Resources

About This Analysis

This comprehensive statistical analysis examines one of the most significant Premier League storylines of the 2024/25 season: Arsenal finishing above Manchester City for the first time since 2008-09.

Key Questions Addressed

1. Why did Arsenal succeed? Through detailed statistical analysis of offensive and defensive metrics, squad composition, and player efficiency.

2. What went wrong for City? Despite superior attacking statistics and individual brilliance, defensive issues and injury problems hampered their campaign.

3. What does this mean? Arsenal's success demonstrates that balanced team performance and defensive solidity can overcome individual brilliance and attacking superiority.

Future Analysis: This dataset provides a foundation for deeper tactical analysis, including pressing statistics, passing networks, and defensive actions. Such analysis could further illuminate the tactical differences that led to Arsenal's superior league position.

How to Use This Site

Homepage

Start here for a high-level overview of the key findings, including the most important statistics and conclusions from the analysis.

Analysis Page

Use the interactive walkthrough to explore specific statistical insights. Click on player names for detailed performance analysis.

Datasets Page

Browse complete squad data for both teams. Compare individual and team-level statistics across multiple metrics.

Resources Page

Reference the glossary when encountering unfamiliar terms. Explore external links for additional context and information.