Player dossier
Superliga · 2026/2027
Magnus Knudsen
Magnus Knudsen- Team
- AGF
- Role
- Defensive midfielder
- Nationality
- Norway
- Date of birth
- 15 Jun 2001 (age 25)
- Shirt number
- 4
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
10 appearances · 751 minutesEstablished sampleAll figures cover completed fixtures in this season only.
- Appearances
- 10
- Starts
- 8
- Minutes
- 751
- Goals
- 1
- Assists
- 1
- Yellow cards
- 3
- 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.
6.94
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
59.3/ 100
Above average for their role
Established-sample estimate · 10 appearances · 751 minutes as defensive midfielder
Ball Security Score
88.7/ 100
Among the best in their role
Compared with defensive midfielders (31)
Defensive Activity Score
53.2/ 100
Slightly above average for their role
Compared with defensive midfielders (31)
Defensive Reliability Score
50.0/ 100
Slightly above average for their role
Compared with defensive midfielders (31)
How the Impact Score is built
- Duelweight 20%
- 60.9
- Passingweight 25%
- 69.4
- Creationweight 10%
- 18.7
- Defensiveweight 30%
- 53.9
- Ball retentionweight 15%
- 78.0
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.
Possession Midfielder
Moderate matchalso Ball-Winning MidfielderConstantly on the ball and rarely loses it, with very high passing volume.
Why this style
- Pass accuracy84th
- Possession lost per 100 touches81th
- Passes per 9054th
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 defensive midfielder are shown.
| Family | Percentile |
|---|---|
| Passing | 69.4 |
| Ball retention | 78.0 |
| Defensive | 53.9 |
| Duel | 60.9 |
| Creation | 18.7 |
| Dribbling | 66.0 |
| Shooting | 43.8 |
Dashed ring marks the defensive midfielder median (50th percentile) across 31 comparable players.
Percentile detail
Compared with Defensive midfielder players in this season31 in reference group
- Passing69.4pctl
- Ball retention78.0pctl
- Defensive53.9pctl
- Duel60.9pctl
- Creation18.7pctl
- Dribbling66.0pctl
- Shooting43.8pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Allan CampbellVery similar style100 / 100
St. Mirren · Defensive midfielder · Premiership 2025/2026
Similar in ball security, defensive duels, attacking involvement. Different in aerial play, chance creation.
- Mads LarsenVery similar style100 / 100
Silkeborg IF · Defensive midfielder · Superliga 2025/2026 · Possession Midfielder
Similar in ball security, chance creation, shooting. Different in defensive activity, aerial play.
- Graeme Shinnie Very similar style99 / 100
Aberdeen · Defensive midfielder · Premiership 2025/2026 · Ball-Winning Midfielder
Similar in shooting, defensive duels, passing. Different in aerial play, attacking involvement.
Show 2 more similar players
- Lukas FadingerVery similar style99 / 100
Motherwell · Defensive midfielder · Premiership 2025/2026 · Possession Midfielder
Similar in dribbling, defensive duels, aerial play. Different in passing, shooting.
- Lukas Lerager Very similar style99 / 100
FC København · Central midfielder · Superliga 2025/2026
Similar in passing, attacking involvement, defensive activity. Different in aerial play, defensive duels.
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 56.3 vs earlier 58.8 (−2.5).44.9/ 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 +2 · Starts 0pp45.7/ 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.8 scored matches54.3/ 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 opponents45.6/ 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 | 88.6% |
| Dribble success rate | 60.0% |
| Duel win rate | 58.3% |
| Aerial duel win rate | Not available |
| Tackle success rate | 67.9% |
| Shot on target rate | 66.7% |
| Long ball accuracy | 57.1% |
Magnus Knudsen · 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.