Player dossier
Superliga · 2026/2027
Magnus Andersen
Magnus Andersen- Team
- Odense BK
- Role
- Winger
- Nationality
- Denmark
- Date of birth
- 03 Apr 2006 (age 20)
- Shirt number
- 28
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
9 appearances · 480 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 9
- Starts
- 5
- Minutes
- 480
- 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 9 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.64
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
38.4/ 100
Close to average for their role
Early-season estimate · 9 appearances · 480 minutes as winger
Creative Impact Score
22.4/ 100
Below average for their role
Compared with wingers (33)
How the Impact Score is built
- Duelweight 10%
- 46.6
- Passingweight 15%
- 87.4
- Creationweight 25%
- 18.2
- Shootingweight 20%
- 20.2
- Dribblingweight 20%
- 18.4
- Ball retentionweight 10%
- 83.3
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 winger are shown.
| Family | Percentile |
|---|---|
| Creation | 18.2 |
| Dribbling | 18.4 |
| Passing | 87.4 |
| Shooting | 20.2 |
| Ball retention | 83.3 |
| Duel | 46.6 |
| Defensive | 57.4 |
Dashed ring marks the winger median (50th percentile) across 33 comparable players.
Percentile detail
Compared with Winger players in this season33 in reference group
- Creation18.2pctl
- Dribbling18.4pctl
- Passing87.4pctl
- Shooting20.2pctl
- Ball retention83.3pctl
- Duel46.6pctl
- Defensive57.4pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Asker BeckVery similar style97 / 100
Viborg FF · Winger · Superliga 2026/2027
Similar in ball security, dribbling, defensive activity. Different in shooting, defensive duels.
- Asker BeckVery similar style97 / 100
Viborg FF · Winger · Superliga 2025/2026
Similar in dribbling, chance creation, defensive duels. Different in ball security, aerial play.
- Hyun-jun YangVery similar style96 / 100
Celtic · Winger · Premiership 2025/2026 · Goal-Focused Wide Player
Similar in defensive duels, attacking involvement, chance creation. Different in shooting, ball security.
Show 2 more similar players
- Ben KrauhausVery similar style95 / 100
Falkirk · Attacking midfielder · Premiership 2026/2027
Similar in dribbling, aerial play, defensive duels. Different in attacking involvement, passing.
- Dennis GeigerVery similar style94 / 100
Aberdeen · Attacking midfielder · Premiership 2025/2026
Similar in shooting, ball security, aerial play. Different in defensive activity, dribbling.
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
Steady form
Detail
Momentum ScoreLast 2 scored matches 68.1 vs earlier 62.1 (+6.0).62.0/ 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 +26 · Starts +25pp66.6/ 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.6 scored matches33.4/ 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.9 rated opponents54.8/ 100
Efficiency
Around average
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 100%45.1/ 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.
Difference: 0.00 points per match. This is a description of results only and does not mean the player caused them.
Efficiency Score components
- Dribble success rateweight 35%
- 23.1%
- Pass accuracyweight 25%
- 86.5%
- Shot on target rateweight 25%
- 33.3%
- Duel win rateweight 15%
- 47.2%
| Metric | Rate |
|---|---|
| Pass accuracy | 86.5% |
| Dribble success rate | 23.1% |
| Duel win rate | 47.2% |
| Aerial duel win rate | Not available |
| Tackle success rate | 66.7% |
| Shot on target rate | 33.3% |
| Long ball accuracy | 42.9% |
Magnus Andersen · 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.