Player dossier
Superliga · 2026/2027
Christian Gammelgaard
Christian Gammelgaard- Team
- Odense BK
- Role
- Winger
- Nationality
- Denmark
- Date of birth
- 10 Mar 2003 (age 23)
- Shirt number
- 14
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
6 appearances · 381 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 6
- Starts
- 5
- Minutes
- 381
- Goals
- 0
- Assists
- 0
- 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 6 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.53
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
46.4/ 100
Slightly above average for their role
Early-season estimate · 6 appearances · 381 minutes as winger
Creative Impact Score
81.0/ 100
Clearly above average for their role
Compared with wingers (32)
How the Impact Score is built
- Duelweight 10%
- 3.1
- Passingweight 15%
- 59.9
- Creationweight 25%
- 92.2
- Shootingweight 20%
- 23.5
- Dribblingweight 20%
- 14.5
- Ball retentionweight 10%
- 64.1
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.
Creative Winger
Strong matchCreates from wide areas through crossing volume, accuracy and key passes.
Why this style
- Crosses per 9097th
- Chances created per 9088th
- Key passes per 9088th
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 winger are shown.
| Family | Percentile |
|---|---|
| Creation | 92.2 |
| Dribbling | 14.5 |
| Passing | 59.9 |
| Shooting | 23.5 |
| Ball retention | 64.1 |
| Duel | 3.1 |
| Defensive | 14.4 |
Dashed ring marks the winger median (50th percentile) across 32 comparable players.
Percentile detail
Compared with Winger players in this season32 in reference group
- Creation92.2pctl
- Dribbling14.5pctl
- Passing59.9pctl
- Shooting23.5pctl
- Ball retention64.1pctl
- Duel3.1pctl
- Defensive14.4pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Declan JohnVery similar style98 / 100
St. Mirren · Winger · Premiership 2025/2026 · Creative Winger
Similar in shooting, attacking involvement, ball security. Different in chance creation, passing.
- Kristall Máni IngasonVery similar style96 / 100
Sønderjyske Fodbold · Attacking midfielder · Superliga 2025/2026 · Goal-Focused Wide Player
Similar in aerial play, ball security, passing. Different in chance creation, attacking involvement.
- Tony YoganeVery similar style94 / 100
Dundee · Winger · Premiership 2025/2026 · Direct Winger
Similar in shooting, aerial play, defensive activity. Different in dribbling, chance creation.
Show 2 more similar players
- Greg KiltieVery similar style94 / 100
Kilmarnock · Attacking midfielder · Premiership 2025/2026
Similar in attacking involvement, chance creation, aerial play. Different in shooting, dribbling.
- Findlay CurtisSimilar style79 / 100
Rangers · Winger · Premiership 2026/2027
Similar in ball security, passing, dribbling. Different in shooting, defensive activity.
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 58.2 vs earlier 58.0 (+0.2).50.4/ 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 −33 · Starts 0pp47.3/ 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.5 scored matches52.7/ 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.6 rated opponents49.5/ 100
Efficiency
Too few recorded actions to score
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 65%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.
Difference: +0.40 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 87.0% |
| Dribble success rate | Not available |
| Duel win rate | 27.3% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | 33.3% |
| Long ball accuracy | 40.0% |
Christian Gammelgaard · 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.