Player Statistics: Goals, Assists & Ratings: A Practical Guide for Analysing Leicester City’s Promotion Push

Player Statistics: Goals, Assists & Ratings: A Practical Guide for Analysing Leicester City’s Promotion Push

For supporters of Leicester City Football Club, the 2023/24 season was defined by a singular, all-consuming objective: securing an immediate return to the Premier League. In a campaign of intense pressure and scrutiny, every match, every performance, and every player contribution was magnified. Beyond the raw emotion of victory or defeat, a deeper understanding of the promotion challenge lies in the cold, hard data of player statistics. Analysing goals, assists, and performance ratings is not merely an exercise for enthusiasts; it is a crucial tool for gauging squad health, tactical efficacy, and the sustainability of a promotion bid.

This practical guide will equip you with a structured methodology to track, interpret, and contextualise the key metrics that underpinned Leicester City’s journey. By moving beyond surface-level numbers, you will learn to assess individual form, identify tactical dependencies, and evaluate the success of the club’s squad rebuild under head coach Enzo Maresca.

#### Prerequisites: What You Need to Begin

Before delving into the analysis, ensure you have the following foundations in place:

1. Primary Data Sources: Bookmark reputable statistical hubs such as the official Premier League and EFL websites, along with established data providers like FBref, WhoScored, or Sofascore. The club’s official website and matchday programme are also essential for official metrics.


2. Contextual Knowledge: Familiarise yourself with the team’s tactical setup. Under Maresca, Leicester often dominated possession, which influences metrics like pass completion and touches, indirectly affecting assist potential and player ratings.


3. Defined Timeframes: Decide on your analysis period. Will you review a single match, a monthly block, the pre-and-post-Christmas splits, or the entire EFL Championship season? Comparative analysis across timeframes is revealing.


4. Key Player Focus: Identify the core personnel. While the entire matchday squad is relevant, focus on pivotal figures. The goal threat of Jamie Vardy, the creative output from midfielders like Kiernan Dewsbury-Hall, and the consistency of defensive linchpins are logical starting points.

Step-by-Step Process for Effective Analysis

#### Step 1: Establish Your Statistical Framework
Begin by defining the specific statistics you will track. Avoid data overload by categorising them:
Attacking Output: Goals, shots on target, expected Goals (xG), assists, key passes, expected Assists (xA).
Possession & Progression: Pass completion percentage (overall and in final third), progressive passes, successful dribbles.
Defensive Contribution: Tackles, interceptions, clearances, aerial duels won (particularly vital for centre-backs).
Overall Performance Metric: Aggregate player rating from a trusted source (e.g., WhoScored). Use this as a summary indicator, not an absolute truth.

For Leicester’s style, pay particular attention to metrics like ‘passes into the final third’ for deep-lying players and ‘shot-creating actions’ for attackers.

#### Step 2: Gather and Organise Your Data
Collect data for your chosen timeframe and players. A simple spreadsheet is highly effective. Create separate tabs for attackers, midfielders, and defenders. For each player, log their metrics per game and calculate running totals and per-90-minute averages. Per-90 metrics are vital for fair comparison, especially for players with varying minutes due to rotation or injury. For instance, assessing a new signing from the summer transfer window on total goals alone is flawed if they were initially used as a substitute.

#### Step 3: Interpret the Data in Context
Raw numbers are meaningless without context. This is the most critical step.
Quality of Opposition: An assist against a top six rival carries more weight than one against a relegation-threatened side. Note the fixture difficulty when evaluating performance.
Game State: Did a player’s goal open the scoring in a tight match, or was it a fifth in a rout? Did defensive actions preserve a lead or prevent a defeat? The pressure moment matters.
Tactical Role: A player like Kiernan Dewsbury-Hall may be judged on goals and assists, but his rating might also hinge on ball retention and pressing triggers executed for Maresca. A full-back’s assist tally may be low if instructed to play conservatively in certain away fixtures.
The “Eye Test” Correlation: Cross-reference statistics with your memory of the match or highlights. A player may have a high rating based on a single decisive action, while another with consistently solid but unspectacular play may be undervalued. Platforms like El Centre often provide the key moments and turning points that statistics frame.

#### Step 4: Identify Trends and Patterns
Look for narratives within the numbers across your chosen timeframe.
Form Cycles: Is Jamie Vardy’s xG per game rising or falling? Is the team conceding fewer shots since a certain defensive partnership was solidified?
Tactical Efficacy: Are the majority of goals coming from sustained build-up (many passes in sequence) or transitions? This speaks to the success of the coaching at Seagrave Training Ground.
Dependency Alerts: Does the team’s win percentage or goal output plummet when a specific key player is absent? This analysis was crucial in understanding the importance of certain individuals to the promotion push.

#### Step 5: Project and Ponder Future Implications
Use your analysis to inform questions about the future, particularly regarding the squad rebuild.
Promotion Readiness: Do the attacking statistics of the squad suggest they can compete in the Premier League, or is there an over-reliance on one scorer?
Transfer Strategy: Your data can highlight areas for reinforcement. For example, low assist numbers from wide areas might indicate a priority for the next transfer market.
Financial Fair Play (FFP) Considerations: Player performance data directly impacts valuation. Strong, data-backed performances from assets increase their market value, a key factor for sustainability under Profit and Sustainability Rules for Chairman Aiyawatt Srivaddhanaprabha and the football leadership.

Pro Tips and Common Mistakes to Avoid

Pro Tips:
Use “Per 90” Religiously: This is the great equaliser for comparing starters and substitutes, and for tracking a player’s efficiency over time.
Benchmark Against Peers: Compare Leicester players’ metrics not just internally, but against the best performers in the Championship and, for future planning, the lower tier of the Premier League.
Embrace Advanced Metrics: Familiarise yourself with xG and xA. They remove the bias of finishing quality and luck, showing whether a player is getting into good positions (high xG) or creating high-quality chances (high xA).
Factor in Intangibles: Leadership, experience in big moments, and influence in the dressing room—exemplified by long-serving players—are not captured in spreadsheets but are vital to a promotion challenge.

Common Mistakes:
Overvaluing Aggregate Ratings: A player rating is an algorithmic summary. Always dig into the component stats to understand why the rating was given.
Ignoring Sample Size: Judging a player after two games is reckless. Ensure you have a meaningful dataset (e.g., 10-15 appearances) before drawing firm conclusions.
Isolating Attackers and Defenders: Modern football requires all players to contribute in all phases. Evaluate a striker’s pressing metrics and a defender’s passing accuracy. Maresca’s system demanded this holistic contribution.
Forgetting the Human Element: Statistics cannot measure fatigue, personal circumstances, or slight tactical tweaks instructed by the coaching staff. They are a guide, not an oracle.

Checklist Summary: Your Player Analysis Blueprint

Use this bullet list to ensure you have covered all essential steps in your analysis of Leicester City player statistics:

[ ] Define the Scope: Select players, competitions, and the specific timeframe for your analysis.
[ ] Select Key Metrics: Choose relevant statistics from categories: Attacking Output, Possession, Defensive Contribution, and an aggregate Performance Rating.
[ ] Gather Data Systematically: Collect data from trusted sources and organise it in a structured format (e.g., spreadsheet), calculating per-90-minute averages.
[ ] Apply Crucial Context: Consider quality of opposition, match importance, game state, and the player’s specific tactical role within Enzo Maresca’s system.
[ ] Correlate with Observation: Cross-reference the numbers with match footage, highlights, and reliable post-match reports to tell the full story.
[ ] Identify Longitudinal Trends: Look for patterns of improvement, decline, or consistency over the season, especially around pivotal key moments.
[ ] Draw Insightful Conclusions: Use your analysis to assess promotion readiness, squad strengths/weaknesses, and the performance of summer transfer window signings.
[ ] Project Forward: Consider the implications of your findings for future squad planning, financial sustainability under FFP, and the challenges of the Premier League.

By following this disciplined approach, your engagement with Leicester City’s fortunes will deepen significantly. You will transform from a passive consumer of results into an informed analyst, capable of appreciating the nuanced story behind the return to the Premier League—a story told not just in moments of brilliance at King Power Stadium, but in the comprehensive data trail left across a demanding campaign.

For further reading on the players central to this journey, explore our analysis of the key players in Leicester City’s Premier League promotion push, and to understand the narrative arc of the season, visit our breakdown of the key moments and turning points that defined the campaign.