Player dossier
Superliga · 2026/2027
Villads Westh
Villads Westh- Team
- Silkeborg IF
- Role
- Defensive midfielder
- Nationality
- Denmark
- Date of birth
- 25 Apr 2004 (age 22)
- Shirt number
- 7
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
10 appearances · 840 minutesEstablished sampleAll figures cover completed fixtures in this season only.
- Appearances
- 10
- Starts
- 10
- Minutes
- 840
- Goals
- 1
- Assists
- 3
- Yellow cards
- 1
- Red cards
- Not available
0 unused substitute matchdays
Counted from match events
Counted from match events
Counted from match events
Provider rating & details
Provider match ratingAverage rating across 10 rated matches.Third-party match rating. Not used in FootyCabin scores.
7.31
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
69.4/ 100
Above average for their role
Established-sample estimate · 10 appearances · 840 minutes as defensive midfielder
Ball Security Score
58.3/ 100
Above average for their role
Compared with defensive midfielders (30)
Defensive Activity Score
71.7/ 100
Clearly above average for their role
Compared with defensive midfielders (30)
How the Impact Score is built
- Duelweight 20%
- 81.7
- Passingweight 25%
- 67.2
- Creationweight 10%
- 74.9
- Defensiveweight 30%
- 66.3
- Ball retentionweight 15%
- 59.4
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 | 67.2 |
| Ball retention | 59.4 |
| Defensive | 66.3 |
| Duel | 81.7 |
| Creation | 74.9 |
| Dribbling | 80.5 |
| Shooting | 38.5 |
Dashed ring marks the defensive midfielder median (50th percentile) across 30 comparable players.
Percentile detail
Compared with Defensive midfielder players in this season30 in reference group
- Passing67.2pctl
- Ball retention59.4pctl
- Defensive66.3pctl
- Duel81.7pctl
- Creation74.9pctl
- Dribbling80.5pctl
- Shooting38.5pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Panutche CamaraVery similar style99 / 100
Dundee United · Central midfielder · Premiership 2025/2026 · Box-to-Box Midfielder
Similar in dribbling, ball security, chance creation. Different in attacking involvement, defensive duels.
- Ryan George CarrVery similar style99 / 100
St. Mirren · Defensive midfielder · Premiership 2026/2027
Similar in ball security, defensive duels, dribbling. Different in chance creation, defensive activity.
- Liam PolworthVery similar style97 / 100
Kilmarnock · Defensive midfielder · Premiership 2025/2026 · Creative Midfielder
Similar in defensive activity, chance creation, shooting. Different in dribbling, defensive duels.
Show 2 more similar players
- Connor BarronVery similar style95 / 100
Rangers · Defensive midfielder · Premiership 2025/2026
Similar in defensive duels, defensive activity, passing. Different in chance creation, dribbling.
- Rasmus Falk Very similar style94 / 100
Odense BK · Defensive midfielder · Superliga 2025/2026 · Possession Midfielder
Similar in defensive activity, shooting, chance creation. Different in dribbling, aerial play.
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 59.2 (+12.5).75.0/ 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 +8 · Starts 0pp69.7/ 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.10 scored matches30.3/ 100
Opposition strength
Around average
Detail
Opposition Difficulty ScoreShows how strong the opponents have been. It is context only and does not change the Impact Score.10 rated opponents48.9/ 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.
Insufficient sample. The comparison needs at least 3 completed fixtures in both groups (currently 10 started and 0 not started).
| Metric | Rate |
|---|---|
| Pass accuracy | 87.2% |
| Dribble success rate | 58.3% |
| Duel win rate | 57.4% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | 33.3% |
| Long ball accuracy | 47.5% |
Villads Westh · 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.