Player dossier
Premiership · 2026/2027
Panutche Camara
Panutche Camara- Team
- Dundee United
- Role
- Winger
- Nationality
- Guinea-Bissau
- Date of birth
- 28 Feb 1997 (age 29)
- Shirt number
- 8
- Competition
- Premiership (Scotland)
- Season
- 2026/2027
Season snapshot
7 appearances · 364 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 7
- Starts
- 4
- Minutes
- 364
- Goals
- 0
- Assists
- 0
- Yellow cards
- 0
- Red cards
- Not available
1 unused substitute matchday
Counted from match events
Counted from match events
Counted from match events
Provider rating & details
Provider match ratingAverage rating across 7 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.85
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
61.0/ 100
Above average for their role
Early-season estimate · 7 appearances · 364 minutes as winger
Creative Impact Score
65.2/ 100
Above average for their role
Compared with wingers (45)
How the Impact Score is built
- Duelweight 10%
- 54.5
- Passingweight 15%
- 88.5
- Creationweight 25%
- 79.6
- Shootingweight 20%
- 1.1
- Dribblingweight 20%
- 63.4
- Ball retentionweight 10%
- 94.5
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.
Wide Creator
Strong matchCentral creator: chances, key passes and passing into the final third.
Why this style
- Chances created per 9079th
- Key passes per 9078th
- Big chances created per 9071th
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 | 79.6 |
| Dribbling | 63.4 |
| Passing | 88.5 |
| Shooting | 1.1 |
| Ball retention | 94.5 |
| Duel | 54.5 |
| Defensive | 68.5 |
Dashed ring marks the winger median (50th percentile) across 45 comparable players.
Percentile detail
Compared with Winger players in this season45 in reference group
- Creation79.6pctl
- Dribbling63.4pctl
- Passing88.5pctl
- Shooting1.1pctl
- Ball retention94.5pctl
- Duel54.5pctl
- Defensive68.5pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Stuart ArmstrongVery similar style97 / 100
Aberdeen · Attacking midfielder · Premiership 2025/2026
Similar in defensive duels, dribbling, attacking involvement. Different in aerial play, shooting.
- Tobias LauritsenVery similar style97 / 100
Vejle Boldklub · Winger · Superliga 2025/2026
Similar in defensive duels, shooting, defensive activity. Different in passing, attacking involvement.
- Max EjdumVery similar style96 / 100
Odense BK · Winger · Superliga 2025/2026
Similar in aerial play, shooting, ball security. Different in defensive duels, defensive activity.
Show 2 more similar players
- Caleb YirenkyiVery similar style96 / 100
Nordsjælland · Winger · Superliga 2025/2026
Similar in shooting, ball security, dribbling. Different in aerial play, defensive duels.
- Reo HatateVery similar style94 / 100
Celtic · Winger · Premiership 2025/2026 · Wide Creator
Similar in ball security, chance creation, passing. Different in defensive activity, shooting.
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 52.0 vs earlier 78.6 (−26.6).0.0/ 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 −17 · Starts 0pp9.3/ 100
Decline
Strong downward trend
Detail
Decline ScoreLooks for signs that the player's performances and playing time are dropping. It is not a prediction.4 scored matches90.7/ 100
Opposition strength
Easier than average
Detail
Opposition Difficulty ScoreShows how strong the opponents have been. It is context only and does not change the Impact Score.7 rated opponents41.0/ 100
Efficiency
Too few recorded actions to score
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 75%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: −0.75 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 91.2% |
| Dribble success rate | 85.7% |
| Duel win rate | 47.8% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | Not available |
| Long ball accuracy | 83.3% |
Panutche Camara · 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.