Player dossier
Superliga · 2026/2027
William Kirk
William Kirk- Team
- Silkeborg IF
- Role
- Defensive midfielder
- Nationality
- Denmark
- Date of birth
- 13 Jan 2007 (age 19)
- Shirt number
- 27
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
10 appearances · 619 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 10
- Starts
- 8
- Minutes
- 619
- Goals
- 1
- Assists
- 1
- Yellow cards
- 0
- 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.
6.82
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
29.0/ 100
Below average for their role
Early-season estimate · 10 appearances · 619 minutes as defensive midfielder
Ball Security Score
8.3/ 100
Among the lowest in their role
Compared with defensive midfielders (30)
Defensive Activity Score
38.3/ 100
Close to average for their role
Compared with defensive midfielders (30)
Defensive Reliability Score
79.4/ 100
Clearly above average for their role
Compared with defensive midfielders (30)
How the Impact Score is built
- Duelweight 20%
- 44.8
- Passingweight 25%
- 8.3
- Creationweight 10%
- 20.4
- Defensiveweight 30%
- 45.5
- Ball retentionweight 15%
- 15.0
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 | 8.3 |
| Ball retention | 15.0 |
| Defensive | 45.5 |
| Duel | 44.8 |
| Creation | 20.4 |
| Dribbling | 12.9 |
| Shooting | 81.5 |
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
- Passing8.3pctl
- Ball retention15.0pctl
- Defensive45.5pctl
- Duel44.8pctl
- Creation20.4pctl
- Dribbling12.9pctl
- Shooting81.5pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- David WatsonVery similar style100 / 100
Kilmarnock · Central midfielder · Premiership 2025/2026
Similar in ball security, attacking involvement, aerial play. Different in chance creation, shooting.
- Scott ArfieldVery similar style100 / 100
Defensive midfielder · Premiership 2025/2026
Similar in shooting, attacking involvement, aerial play. Different in ball security, defensive duels.
- Alex KrálVery similar style97 / 100
FC København · Defensive midfielder · Superliga 2026/2027
Similar in defensive duels, attacking involvement, aerial play. Different in shooting, dribbling.
Show 2 more similar players
- Laurent MendyVery similar style96 / 100
Hearts · Defensive midfielder · Premiership 2026/2027
Similar in dribbling, defensive activity, attacking involvement. Different in ball security, aerial play.
- Killian PhillipsVery similar style95 / 100
St. Mirren · Central midfielder · Premiership 2025/2026
Similar in attacking involvement, ball security, shooting. Different in dribbling, chance creation.
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 46.6 vs earlier 36.4 (+10.2).70.5/ 100
Development
No clear upward trend
Detail
Breakout ScoreLooks at recent performances, playing time and starts to spot signs that a player is improving. It is not a prediction.Minutes −28 · Starts −50pp48.7/ 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.9 scored matches51.3/ 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 opponents51.0/ 100
Efficiency
Too few recorded actions to score
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 85%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 8 started and 2 not started).
| Metric | Rate |
|---|---|
| Pass accuracy | 68.7% |
| Dribble success rate | 22.2% |
| Duel win rate | 44.6% |
| Aerial duel win rate | Not available |
| Tackle success rate | 78.6% |
| Shot on target rate | 53.3% |
| Long ball accuracy | 35.7% |
William Kirk · 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.