How to Use Player Ratings from FBref and WhoScored for Liverpool FC Analysis

How to Use Player Ratings from FBref and WhoScored for Liverpool FC Analysis

When you follow Liverpool FC through a fan site like The Anfield Perspective, understanding player ratings becomes essential for evaluating performances beyond the scoreline. FBref and WhoScored offer two distinct approaches to quantifying how each Red performs in a match, but interpreting their numbers requires a structured method. This guide provides a practical checklist to extract meaningful insights from both platforms, helping you build informed opinions on squad form, tactical contributions, and individual development.

What Each Platform Measures Differently

FBref draws its data from Opta, focusing on raw statistical output—passes completed, tackles won, shots on target, distance covered, and advanced metrics like expected goals (xG) and expected assists (xA). Their ratings are algorithmically generated, weighting actions based on league averages and positional context. WhoScored, by contrast, uses a proprietary algorithm that assigns a rating out of 10, incorporating over 200 raw events per match, with adjustments for the difficulty of each action. The key distinction lies in emphasis: FBref rewards volume and efficiency in specific actions, while WhoScored places higher value on impactful moments—key passes, dribbles, interceptions—that shift momentum.

For a Liverpool midfielder, for instance, FBref might rate a 90% pass completion with 80 touches highly, whereas WhoScored could downgrade the same performance if those passes were mostly sideways and lacked progressive intent. Understanding this divergence prevents you from misreading a single rating as the full story.

Step 1: Cross-Reference Ratings with Match Context

Before accepting any rating as definitive, check the match circumstances. A 7.5 from WhoScored in a 3–0 win over a lower-table side may reflect dominance, but the same rating in a tense 1–0 away victory at a rival carries different weight. On FBref, look at the "Match Report" section for each game—note the opposition strength, home or away status, and any red cards or early substitutions that skewed playing time.

Create a simple table to track discrepancies:

PlayerFBref RatingWhoScored RatingMatch Context
Mohamed Salah8.27.8Home vs. mid-table, 2 goals, 1 assist
Virgil van Dijk7.17.5Away vs. top-4, clean sheet, 3 clearances
Dominik Szoboszlai6.97.3Subbed at 60', 2 key passes, 1 chance created

If ratings diverge by more than 0.5, investigate the underlying stats. For Szoboszlai above, FBref penalizes his limited minutes, while WhoScored rewards his high-impact cameo.

Step 2: Identify Positional Rating Patterns

Each position on the pitch generates different statistical profiles, and both platforms adjust for this, but the adjustments are not identical. For Liverpool's full-backs, WhoScored tends to rate high volume of crosses and dribbles positively, even if many crosses are inaccurate. FBref, however, considers cross accuracy and defensive recoveries more heavily. For centre-backs, clearances and aerial duels won dominate FBref's algorithm, while WhoScored adds weight to interceptions and blocks.

To use this effectively, maintain a mental or written baseline for each role:

  • Goalkeeper: FBref values save percentage and distribution accuracy; WhoScored rewards command of area and claim success.
  • Full-back: FBref emphasizes tackle success and progressive passes; WhoScored highlights dribbles and key passes.
  • Centre-back: FBref focuses on aerial duel win rate and clearances; WhoScored includes interceptions and blocks.
  • Midfielder: FBref rates pass completion and recoveries; WhoScored prioritizes key passes and dribbles.
  • Forward: FBref weights shots on target and xG; WhoScored rewards dribbles and chances created.
When a player like Cody Gakpo records a 7.0 on FBref but a 7.8 on WhoScored, it often signals he created several dangerous moments without converting them into goals or assists—valuable context for tactical analysis.

Step 3: Compare Ratings Across Multiple Matches for Trends

A single game rating tells you little. Aggregate ratings over a rolling five-match window to identify form streaks or dips. Both platforms offer season averages, but these can mask recent improvements or slumps. For instance, if Trent Alexander-Arnold averages 7.2 on WhoScored over the season but his last three games show 6.8, 6.9, and 6.7, that downward trend warrants attention—perhaps opposition tactics have targeted his defensive side, or his passing lanes are being cut off.

Use the historical match data on FBref to export or manually compile these sequences. On WhoScored, the "Player Stats" tab includes a match-by-match breakdown that you can scroll through. For deeper analysis, combine these ratings with tactical match analysis to see if the numbers align with visual observations.

Step 4: Incorporate Advanced Metrics from FBref

FBref offers a suite of advanced statistics that WhoScored does not fully replicate. Expected goals (xG), expected assists (xA), progressive passes, and pressures are particularly valuable for Liverpool's system under the current manager. A midfielder like Alexis Mac Allister might have a modest WhoScored rating of 7.0, but if his progressive passes per 90 exceed 8.0 and his pressures per 90 top 20, he is performing a critical role that ratings alone miss.

Build a simple checklist for each match review:

  • Check xG vs. actual goals for forwards
  • Review xA vs. actual assists for creators
  • Note progressive carries and passes for midfielders
  • Examine pressures and tackles for defensive contributions
  • Compare aerial duel win rate for centre-backs
These metrics help you distinguish between a player who is performing well but unlucky (high xG, low goals) and one who is overperforming unsustainably (low xG, high goals). For injury-affected players, injury impact on match outcomes provides additional context for rating fluctuations.

Step 5: Use WhoScored's Strengths and Weaknesses Reports

WhoScored publishes a "Strengths and Weaknesses" breakdown for each player, derived from their statistical profile. This feature is particularly useful for scouting opposition or evaluating Liverpool's own squad depth. For example, if a Liverpool defender is rated "Weak" in "Concentration" (based on errors leading to chances), you can cross-reference that with FBref's "Errors" stat to confirm a pattern.

When analyzing a new signing or a youth prospect, these reports offer a quick statistical snapshot. However, treat them as starting points—they are algorithmic summaries, not scouting reports. Pair them with player comparison using xG and xA to benchmark against league averages or similar roles.

Step 6: Filter Ratings by Competition and Opposition Quality

Both platforms allow you to filter ratings by competition—Premier League, Champions League, FA Cup, EFL Cup. This is critical because Liverpool often rotates heavily in domestic cups, leading to inflated ratings for fringe players against weaker sides. Conversely, Champions League matches against elite opposition tend to depress ratings for defenders facing constant pressure.

Create separate baselines for each competition:

  • Premier League: Primary benchmark; most reliable for form assessment
  • Champions League: Higher intensity; defensive ratings may drop, attacking ratings may rise against open games
  • FA Cup/EFL Cup: Lower average opposition; treat high ratings with caution unless the player dominated consistently
For youth academy graduates stepping into first-team action, compare their cup ratings to their U21 or U18 performance data. A 7.5 in the EFL Cup against a Championship side does not automatically translate to Premier League readiness—use the stats and metrics hub to contextualize their performances against age-group averages.

Step 7: Combine Ratings with Visual Match Analysis

Numbers are never the complete picture. A centre-back might record a 7.5 on both platforms due to high clearances and interceptions, but if those clearances were rushed and led to opposition second balls, the rating overstates his performance. Conversely, a midfielder who systematically breaks lines with passes might receive a 6.8 from FBref for low shot volume, yet his tactical contribution is immense.

After reviewing ratings, watch the match replay or extended highlights with a focus on the player in question. Note:

  • Positioning relative to teammates
  • Decision-making under pressure
  • Movement off the ball
  • Defensive awareness in transitions
Then compare your visual notes to the rating. Discrepancies often reveal either a rating system flaw or a player doing unglamorous work that stats miss. For Liverpool's system, where full-backs invert and midfielders rotate positions frequently, these visual checks are indispensable.

Summary Checklist for Your Next Match Review

  1. Open FBref and WhoScored for the match
  2. Note each Liverpool starter's rating from both platforms
  3. Identify discrepancies greater than 0.5 and investigate underlying stats
  4. Check match context: opposition strength, venue, scoreline, substitutions
  5. Review advanced metrics (xG, xA, progressive passes) on FBref
  6. Filter by competition and compare to season averages
  7. Watch match footage to validate or challenge the ratings
  8. Compile your own adjusted rating based on visual + statistical synthesis
By following this structured approach, you transform raw player ratings from mere numbers into actionable insights for your Liverpool FC analysis. Whether you are debating a player's form on forums, writing a post-match review for The Anfield Perspective, or simply deepening your understanding of the game, this method ensures your conclusions are grounded in evidence rather than emotion.
Anthony Barrett

Anthony Barrett

Statistical Analyst

Liam Carter is a statistical analyst specializing in Liverpool data, from expected goals to player heatmaps. He makes numbers accessible for everyday fans.

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