Player dossier
Superliga · 2025/2026
Janni Serra
Janni Serra- Team
- AGF
- Role
- Striker
- Nationality
- Germany
- Date of birth
- 13 Mar 1998 (age 28)
- Shirt number
- 13
- Competition
- Superliga (Denmark)
- Season
- 2025/2026
Season snapshot
20 appearances · 519 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 20
- Starts
- 5
- Minutes
- 519
- Goals
- 3
- Assists
- 0
- Yellow cards
- 0
- Red cards
- Not available
6 unused substitute matchdays
Counted from match events
Counted from match events
Counted from match events
Provider rating & details
Provider match ratingAverage rating across 18 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.70
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
65.9/ 100
Above average for their role
Early-season estimate · 20 appearances · 519 minutes as striker
Attacking Threat Score
65.2/ 100
Above average for their role
Compared with strikers (43)
Creative Impact Score
72.4/ 100
Clearly above average for their role
Compared with strikers (43)
How the Impact Score is built
- Duelweight 15%
- 83.7
- Passingweight 10%
- 62.4
- Creationweight 20%
- 72.4
- Shootingweight 35%
- 66.2
- Dribblingweight 10%
- 43.9
- Ball retentionweight 10%
- 50.8
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 striker are shown.
| Family | Percentile |
|---|---|
| Shooting | 66.2 |
| Creation | 72.4 |
| Ball retention | 50.8 |
| Duel | 83.7 |
| Dribbling | 43.9 |
| Passing | 62.4 |
| Defensive | 69.9 |
Dashed ring marks the striker median (50th percentile) across 43 comparable players.
Percentile detail
Compared with Striker players in this season43 in reference group
- Shooting66.2pctl
- Creation72.4pctl
- Ball retention50.8pctl
- Duel83.7pctl
- Dribbling43.9pctl
- Passing62.4pctl
- Defensive69.9pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Viktor Dadason Very similar style97 / 100
FC København · Striker · Superliga 2025/2026 · Creative Forward
Similar in ball security, chance creation, shooting. Different in attacking involvement, dribbling.
- Kieron BowieVery similar style97 / 100
Hibernian · Striker · Premiership 2025/2026
Similar in dribbling, chance creation, ball security. Different in aerial play, defensive duels.
- Pierre Landry KaboréVery similar style94 / 100
Hearts · Striker · Premiership 2025/2026 · Direct Forward
Similar in passing, attacking involvement, chance creation. Different in dribbling, ball security.
Show 2 more similar players
- Nikolaj MöllerVery similar style94 / 100
Dundee United · Striker · Premiership 2025/2026 · Aerial Forward
Similar in ball security, chance creation, shooting. Different in attacking involvement, dribbling.
- Ross MacIverVery similar style91 / 100
Falkirk · Striker · Premiership 2025/2026
Similar in ball security, chance creation, defensive duels. Different in attacking involvement, 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
Form is falling
Detail
Momentum ScoreLast 2 scored matches 50.2 vs earlier 62.4 (−12.2).25.6/ 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 −11 · Starts 0pp33.7/ 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.5 scored matches66.3/ 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.20 rated opponents50.4/ 100
Efficiency
Too few recorded actions to score
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 80%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: −1.06 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 72.9% |
| Dribble success rate | 36.4% |
| Duel win rate | 46.1% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | 46.2% |
| Long ball accuracy | 50.0% |
Janni Serra · 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.