Player dossier
Superliga · 2025/2026
Oscar Buch
Oscar Buch- Team
- Fredericia
- Role
- Striker
- Nationality
- Denmark
- Date of birth
- 14 Feb 1997 (age 29)
- Shirt number
- 97
- Competition
- Superliga (Denmark)
- Season
- 2025/2026
Season snapshot
22 appearances · 1,358 minutesEstablished sampleAll figures cover completed fixtures in this season only.
- Appearances
- 22
- Starts
- 14
- Minutes
- 1,358
- Goals
- 6
- Assists
- 1
- Yellow cards
- 2
- Red cards
- Not available
4 unused substitute matchdays
Counted from match events
Counted from match events
Counted from match events
Provider rating & details
Provider match ratingAverage rating across 22 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.82
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
45.6/ 100
Slightly above average for their role
Established-sample estimate · 22 appearances · 1,358 minutes as striker
Non-Penalty Finishing Score
76.8/ 100
Clearly above average for their role
Compared with strikers (43)
Attacking Threat Score
47.0/ 100
Slightly above average for their role
Compared with strikers (43)
Creative Impact Score
22.4/ 100
Below average for their role
Compared with strikers (43)
How the Impact Score is built
- Duelweight 15%
- 39.5
- Passingweight 10%
- 63.2
- Creationweight 20%
- 29.2
- Shootingweight 35%
- 46.7
- Dribblingweight 10%
- 52.0
- Ball retentionweight 10%
- 59.3
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.
Link-Up Forward
Strong matchDrops in to join play, keeping the ball with high passing volume and accuracy.
Why this style
- Touches per 9078th
- Pass accuracy73th
- Passes 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 striker are shown.
| Family | Percentile |
|---|---|
| Shooting | 46.7 |
| Creation | 29.2 |
| Ball retention | 59.3 |
| Duel | 39.5 |
| Dribbling | 52.0 |
| Passing | 63.2 |
| Defensive | 87.0 |
Dashed ring marks the striker median (50th percentile) across 43 comparable players.
Percentile detail
Compared with Striker players in this season43 in reference group
- Shooting46.7pctl
- Creation29.2pctl
- Ball retention59.3pctl
- Duel39.5pctl
- Dribbling52.0pctl
- Passing63.2pctl
- Defensive87.0pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Filip BundgaardSimilar style88 / 100
Brøndby IF · Striker · Superliga 2025/2026 · Link-Up Forward
Similar in aerial play, defensive duels, shooting. Different in defensive activity, ball security.
- Kieron BowieSimilar style80 / 100
Hibernian · Striker · Premiership 2025/2026
Similar in ball security, shooting, defensive duels. Different in chance creation, defensive activity.
- Jake YoungSimilar style77 / 100
St. Mirren · Striker · Premiership 2025/2026
Similar in shooting, aerial play, dribbling. Different in ball security, defensive activity.
Show 2 more similar players
- Matthew HoppeSimilar style76 / 100
Sønderjyske Fodbold · Striker · Superliga 2025/2026
Similar in ball security, shooting, dribbling. Different in defensive activity, chance creation.
- Roland IdowuSome style similarities74 / 100
St. Mirren · Striker · Premiership 2025/2026 · Link-Up Forward
Similar in defensive duels, chance creation, ball security. Different in dribbling, aerial play.
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 21.8 vs earlier 59.1 (−37.3).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 −43pp0.0/ 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.16 scored matches100.0/ 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.22 rated opponents47.2/ 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: −0.24 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 77.3% |
| Dribble success rate | 45.5% |
| Duel win rate | 42.0% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | 39.4% |
| Long ball accuracy | 46.2% |
Oscar Buch · 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.