Player dossier
Superliga · 2026/2027
Callum McCowatt
Callum McCowatt- Teams this season
- AGF · Silkeborg IFMultiple teams represented, no single club label applied
- Role
- Attacking midfielder
- Nationality
- New Zealand
- Date of birth
- 30 Apr 1999 (age 27)
- Shirt number
- 18
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
8 appearances · 548 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 8
- Starts
- 6
- Minutes
- 548
- Goals
- 3
- Assists
- 2
- Yellow cards
- 3
- 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 8 rated matches.Third-party match rating. Not used in FootyCabin scores.
7.08
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
53.9/ 100
Slightly above average for their role
Early-season estimate · 8 appearances · 548 minutes as attacking midfielder
Creative Impact Score
63.9/ 100
Above average for their role
Compared with midfielders (53)
Attacking Threat Score
67.9/ 100
Above average for their role
Compared with midfielders (53)
Ball Security Score
2.2/ 100
Among the lowest in their role
Compared with midfielders (53)
How the Impact Score is built
- Duelweight 10%
- 34.4
- Passingweight 20%
- 60.7
- Creationweight 30%
- 73.6
- Shootingweight 15%
- 61.3
- Dribblingweight 15%
- 22.6
- Ball retentionweight 10%
- 36.9
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
- Big chances created per 9096th
- Passes in the final third per 9090th
- Chances created per 9079th
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 attacking midfielder are shown.
| Family | Percentile |
|---|---|
| Passing | 60.7 |
| Creation | 73.6 |
| Ball retention | 36.9 |
| Duel | 34.4 |
| Dribbling | 22.6 |
| Defensive | 68.0 |
| Shooting | 61.3 |
Dashed ring marks the attacking midfielder median (50th percentile) across 14 comparable players.
Percentile detail
Compared with Attacking midfielder players in this season14 in reference groupSmall reference group
- Passing60.7pctl
- Creation73.6pctl
- Ball retention36.9pctl
- Duel34.4pctl
- Dribbling22.6pctl
- Defensive68.0pctl
- Shooting61.3pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Adil AouchicheVery similar style100 / 100
Aberdeen · Attacking midfielder · Premiership 2025/2026 · Inside Forward
Similar in ball security, attacking involvement, passing. Different in defensive activity, defensive duels.
- Lyall CameronVery similar style99 / 100
Attacking midfielder · Premiership 2025/2026 · Creative Winger
Similar in ball security, defensive activity, attacking involvement. Different in aerial play, defensive duels.
- Blair SpittalVery similar style98 / 100
Hearts · Winger · Premiership 2025/2026 · Wide Creator
Similar in attacking involvement, aerial play, ball security. Different in defensive duels, shooting.
Show 2 more similar players
- Yan DhandaVery similar style97 / 100
Dundee · Attacking midfielder · Premiership 2025/2026 · Creative Winger
Similar in ball security, dribbling, passing. Different in shooting, defensive duels.
- Fiete ArpVery similar style95 / 100
Odense BK · Attacking midfielder · Superliga 2026/2027 · Direct Winger
Similar in defensive duels, shooting, passing. Different in aerial play, 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
Form is falling
Detail
Momentum ScoreLast 2 scored matches 51.2 vs earlier 59.1 (−7.9).34.1/ 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 +1 · Starts 0pp38.4/ 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.6 scored matches61.6/ 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.8 rated opponents53.1/ 100
Efficiency
Around average
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 100%52.6/ 100
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.
Efficiency Score components
- Pass accuracyweight 35%
- 76.3%
- Dribble success rateweight 30%
- 45.5%
- Duel win rateweight 20%
- 37.9%
- Shot on target rateweight 15%
- 31.3%
| Metric | Rate |
|---|---|
| Pass accuracy | 76.3% |
| Dribble success rate | 45.5% |
| Duel win rate | 37.9% |
| Aerial duel win rate | Not available |
| Tackle success rate | 71.4% |
| Shot on target rate | 31.3% |
| Long ball accuracy | 43.3% |
Callum McCowatt · 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.