Player dossier
Superliga · 2026/2027
Aske Andrésen
Aske Andrésen- Team
- Silkeborg IF
- Role
- Goalkeeper
- Nationality
- Denmark
- Date of birth
- 12 Jul 2005 (age 21)
- Shirt number
- 1
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
10 appearances · 900 minutesEstablished sampleAll figures cover completed fixtures in this season only.
- Appearances
- 10
- Starts
- 10
- Minutes
- 900
- Goals
- 0
- Assists
- 0
- 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.
6.76
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
45.2/ 100
Slightly above average for their role
Established-sample estimate · 10 appearances · 900 minutes as goalkeeper
Goalkeeper Performance Score
50.0/ 100
Slightly above average for their role
Compared with goalkeepers (15)
How the Impact Score is built
- Passingweight 25%
- 25.6
- Goalkeepingweight 60%
- 55.0
- Ball retentionweight 15%
- 38.9
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.
Shot-Focused Goalkeeper
Moderate matchBusy on the line: a high volume of saves, including inside the box.
Why this style
- Saves inside the box per 9083th
- Saves per 9070th
- Save rate55th
Archetypes describe statistical playing style, not player quality. How this is built
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 goalkeeper are shown.
| Family | Percentile |
|---|---|
| Goalkeeping | 55.0 |
| Passing | 25.6 |
| Ball retention | 38.9 |
Dashed ring marks the goalkeeper median (50th percentile) across 15 comparable players.
Percentile detail
Compared with Goalkeeper players in this season15 in reference group
- Goalkeeping55.0pctl
- Passing25.6pctl
- Ball retention38.9pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Nicolai FløVery similar style99 / 100
Sønderjyske Fodbold · Goalkeeper · Superliga 2025/2026
Similar in goalkeeping, passing.
- Matej DelacVery similar style98 / 100
Horsens · Goalkeeper · Superliga 2026/2027 · Shot-Focused Goalkeeper
Similar in passing, goalkeeping.
- Dimitar MitovVery similar style97 / 100
Aberdeen · Goalkeeper · Premiership 2025/2026
Similar in goalkeeping, passing.
Show 2 more similar players
- Marcus BundgaardVery similar style97 / 100
Sønderjyske Fodbold · Goalkeeper · Superliga 2025/2026
Similar in goalkeeping, passing.
- Jesper HansenVery similar style96 / 100
AGF · Goalkeeper · Superliga 2025/2026 · Shot-Focused Goalkeeper
Similar in passing, goalkeeping.
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
Form is falling
Detail
Momentum ScoreLast 2 scored matches 36.0 vs earlier 42.8 (−6.8).36.4/ 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 0 · Starts 0pp37.6/ 100
Decline
Some signs of decline
Detail
Decline ScoreLooks for signs that the player's performances and playing time are dropping. It is not a prediction.10 scored matches62.4/ 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 opponents49.5/ 100
Efficiency
Around average
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 100%45.9/ 100
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).
Efficiency Score components
- Pass accuracyweight 50%
- 65.4%
- Long ball accuracyweight 50%
- 26.4%
| Metric | Rate |
|---|---|
| Pass accuracy | 65.4% |
| Dribble success rate | Not available |
| Duel win rate | 100.0% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | Not available |
| Long ball accuracy | 26.4% |
Aske Andrésen · 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.