Player dossier
Premiership · 2026/2027
Kasper Høgh
Kasper Høgh- Team
- Celtic
- Role
- Striker
- Nationality
- Denmark
- Date of birth
- 06 Dec 2000 (age 25)
- Shirt number
- 9
- Competition
- Premiership (Scotland)
- Season
- 2026/2027
Season snapshot
4 appearances · 302 minutesEarly sampleAll figures cover completed fixtures in this season only.
- Appearances
- 4
- Starts
- 3
- Minutes
- 302
- Goals
- 3
- 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 4 rated matches.Third-party match rating. Not used in FootyCabin scores.
7.40
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Non-Penalty Finishing Score
78.6/ 100
Clearly above average for their role
Compared with strikers (25)
Attacking Threat Score
41.7/ 100
Close to average for their role
Compared with strikers (25)
Creative Impact Score
45.0/ 100
Slightly above average for their role
Compared with strikers (25)
The Impact Score will appear after a larger sample. Publication requires 360 minutes, 5 appearances, at least 90% metric coverage and an established role.
Playing style
How this player tends to contribute, compared with players in the same role and season. Style, not quality.
Goal-Focused Forward
Strong matchA penalty-box scorer: high shot volume, accuracy and non-penalty goals.
Why this style
- Shots per 9098th
- Non-penalty goals per 9097th
- Shots on target per 9085th
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 | 85.8 |
| Creation | 60.4 |
| Ball retention | 39.3 |
| Duel | 55.0 |
| Dribbling | 53.0 |
| Passing | 42.6 |
| Defensive | 28.2 |
Dashed ring marks the striker median (50th percentile) across 25 comparable players.
Percentile detail
Compared with Striker players in this season25 in reference group
- Shooting85.8pctl
- Creation60.4pctl
- Ball retention39.3pctl
- Duel55.0pctl
- Dribbling53.0pctl
- Passing42.6pctl
- Defensive28.2pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- DaniloVery similar style97 / 100
Rangers · Striker · Premiership 2025/2026
Similar in attacking involvement, passing, aerial play. Different in ball security, defensive duels.
- Alexander LindVery similar style97 / 100
Nordsjælland · Striker · Superliga 2025/2026
Similar in ball security, chance creation, dribbling. Different in attacking involvement, shooting.
- Johnny KennyVery similar style96 / 100
Celtic · Striker · Premiership 2025/2026 · Creative Forward
Similar in aerial play, shooting, dribbling. Different in defensive duels, ball security.
Show 2 more similar players
- Mohamed SankohVery similar style94 / 100
Randers FC · Striker · Superliga 2026/2027 · Goal-Focused Forward
Similar in ball security, defensive activity, passing. Different in chance creation, dribbling.
- Kelechi IheanachoVery similar style93 / 100
Celtic · Striker · Premiership 2025/2026 · Goal-Focused Forward
Similar in aerial play, chance creation, passing. Different in ball security, 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
Needs 4 scored matches and the publishable season sample
Detail
Momentum ScoreShows whether recent performances have been better or worse than earlier in the season.Insufficient sample
Development
Insufficient sample
Detail
Breakout ScoreLooks at recent performances, playing time and starts to spot signs that a player is improving. It is not a prediction.Insufficient sample
Decline
Insufficient sample
Detail
Decline ScoreLooks for signs that the player's performances and playing time are dropping. It is not a prediction.Insufficient sample
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.4 rated opponents45.2/ 100
Efficiency
Needs 360 minutes and 5 appearances
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: +0.60 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 65.1% |
| Dribble success rate | 100.0% |
| Duel win rate | 41.2% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | 42.9% |
| Long ball accuracy | 75.0% |
Kasper Høgh · 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.