Player dossier
Superliga · 2025/2026
William Clem
William Clem- Team
- FC København
- Role
- Defensive midfielder
- Nationality
- Denmark
- Date of birth
- 20 Jun 2004 (age 22)
- Shirt number
- 36
- Competition
- Superliga (Denmark)
- Season
- 2025/2026
Season snapshot
25 appearances · 1,234 minutesEstablished sampleAll figures cover completed fixtures in this season only.
- Appearances
- 25
- Starts
- 12
- Minutes
- 1,234
- Goals
- 2
- Assists
- 2
- Yellow cards
- 2
- Red cards
- Not available
7 unused substitute matchdays
Counted from match events
Counted from match events
Counted from match events
Provider rating & details
Provider match ratingAverage rating across 25 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.91
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
62.7/ 100
Above average for their role
Established-sample estimate · 25 appearances · 1,234 minutes as defensive midfielder
Ball Security Score
76.4/ 100
Clearly above average for their role
Compared with defensive midfielders (37)
Defensive Activity Score
82.4/ 100
Clearly above average for their role
Compared with defensive midfielders (37)
How the Impact Score is built
- Duelweight 20%
- 50.0
- Passingweight 25%
- 77.9
- Creationweight 10%
- 32.0
- Defensiveweight 30%
- 68.2
- Ball retentionweight 15%
- 63.5
An experimental in-house model based on available match data. It weights role-relative percentile families and is not an official rating, a definitive measure of player quality, or a prediction.
Playing style
How this player tends to contribute, compared with players in the same role and season. Style, not quality.
No clear archetype yet. This player's profile does not lean strongly enough towards one style.
Player profile
See where the player ranks compared with others in the same role. A percentile of 80 means the player ranks higher than 80% of the comparison group. Only areas relevant to defensive midfielder are shown.
| Family | Percentile |
|---|---|
| Passing | 77.9 |
| Ball retention | 63.5 |
| Defensive | 68.2 |
| Duel | 50.0 |
| Creation | 32.0 |
| Dribbling | 52.8 |
| Shooting | 80.8 |
Dashed ring marks the defensive midfielder median (50th percentile) across 37 comparable players.
Percentile detail
Compared with Defensive midfielder players in this season37 in reference group
- Passing77.9pctl
- Ball retention63.5pctl
- Defensive68.2pctl
- Duel50.0pctl
- Creation32.0pctl
- Dribbling52.8pctl
- Shooting80.8pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- André RömerVery similar style99 / 100
Randers FC · Defensive midfielder · Superliga 2025/2026
Similar in ball security, attacking involvement, passing. Different in shooting, aerial play.
- Jens Jakob ThomasenVery similar style99 / 100
Lyngby Boldklub · Central midfielder · Superliga 2026/2027
Similar in dribbling, attacking involvement, aerial play. Different in defensive activity, defensive duels.
- Ryan George CarrVery similar style96 / 100
St. Mirren · Defensive midfielder · Premiership 2026/2027
Similar in attacking involvement, chance creation, ball security. Different in shooting, dribbling.
Show 2 more similar players
- Stijn SpieringsVery similar style96 / 100
Brøndby IF · Central midfielder · Superliga 2025/2026 · Possession Midfielder
Similar in aerial play, passing, ball security. Different in defensive activity, dribbling.
- Vicko SeveljVery similar style95 / 100
Dundee United · Central midfielder · Premiership 2025/2026
Similar in dribbling, shooting, chance creation. Different in aerial play, attacking involvement.
How similarity works
Similarity compares playing profiles inside the same role family. A score of 92 means the pair is closer than 92% of comparable player pairs. It is not a rating of ability, market value or transfer suitability.
Form & context
Recent form, development and match context from completed fixtures. These figures add context to the scores above and are not official ratings or predictions.
Form
Rising strongly
Detail
Momentum ScoreLast 2 scored matches 71.7 vs earlier 60.5 (+11.2).72.3/ 100
Development
Some upward signs
Detail
Breakout ScoreLooks at recent performances, playing time and starts to spot signs that a player is improving. It is not a prediction.Minutes −13 · Starts −23pp62.3/ 100
Decline
No clear decline
Detail
Decline ScoreLooks for signs that the player's performances and playing time are dropping. It is not a prediction.17 scored matches37.7/ 100
Opposition strength
Easier than average
Detail
Opposition Difficulty ScoreShows how strong the opponents have been. It is context only and does not change the Impact Score.25 rated opponents40.4/ 100
Efficiency
Too few recorded actions to score
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 60%Insufficient sample
Team effect and success rates
Team effect
Compares team points per completed match when the player starts and when he does not. This describes results, not proof that the player caused them.
Difference: +0.44 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 85.2% |
| Dribble success rate | 57.1% |
| Duel win rate | 51.5% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | 43.5% |
| Long ball accuracy | 46.9% |
William Clem · 0–100% scale
Methodology
Data source
Match, lineup, event and player statistics come from Sportmonks and are stored per fixture. Only completed fixtures with recorded minutes are aggregated. Announced lineups and future fixtures are excluded.
Per 90 minutes
A per-90 value scales a season total to a full match: total × 90 ÷ minutes played. It is not calculated when minutes are missing or zero.
Missing data
The provider omits some statistics instead of sending a zero. A missing value is shown as "not available" and never converted to 0, so rates and percentiles are only produced where the underlying fields genuinely exist.
Impact Score
The Football Performance Lab Impact Score is an experimental in-house model that combines role-relative percentile families with explicit weights. It is not an official rating and not a measure of transfer value.
Minimum samples
Values are calculated internally from 180 minutes, but a player is only shown publicly with a ranked Impact Score from 360 minutes and 5 appearances, with at least 90% metric coverage and an established role. A single appearance contributes a match impact observation from 30 minutes.