Player dossier
Superliga · 2025/2026
Callum McCowatt
Callum McCowatt- Team
- Silkeborg IF
- Role
- Attacking midfielder
- Nationality
- New Zealand
- Date of birth
- 30 Apr 1999 (age 27)
- Shirt number
- 18
- Competition
- Superliga (Denmark)
- Season
- 2025/2026
Season snapshot
32 appearances · 2,511 minutesEstablished sampleAll figures cover completed fixtures in this season only.
- Appearances
- 32
- Starts
- 30
- Minutes
- 2,511
- Goals
- 11
- Assists
- 5
- Yellow cards
- 4
- 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 32 rated matches.Third-party match rating. Not used in FootyCabin scores.
7.26
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
64.8/ 100
Above average for their role
Established-sample estimate · 32 appearances · 2,511 minutes as attacking midfielder
Creative Impact Score
57.7/ 100
Above average for their role
Compared with attacking midfielders (15)
Attacking Threat Score
88.5/ 100
Among the best in their role
Compared with attacking midfielders (15)
Ball Security Score
75.0/ 100
Clearly above average for their role
Compared with attacking midfielders (15)
How the Impact Score is built
- Duelweight 10%
- 63.3
- Passingweight 20%
- 76.7
- Creationweight 30%
- 53.6
- Shootingweight 15%
- 70.0
- Dribblingweight 15%
- 72.2
- Ball retentionweight 10%
- 56.7
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.
Goal-Focused Wide Player
Strong matchalso Inside ForwardOutput is concentrated on scoring rather than creating for others.
Why this style
- Shots on target per 9092th
- Shot accuracy86th
- Non-penalty goals per 9081th
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 | 76.7 |
| Creation | 53.6 |
| Ball retention | 56.7 |
| Duel | 63.3 |
| Dribbling | 72.2 |
| Defensive | 60.7 |
| Shooting | 70.0 |
Dashed ring marks the attacking midfielder median (50th percentile) across 15 comparable players.
Percentile detail
Compared with Attacking midfielder players in this season15 in reference group
- Passing76.7pctl
- Creation53.6pctl
- Ball retention56.7pctl
- Duel63.3pctl
- Dribbling72.2pctl
- Defensive60.7pctl
- Shooting70.0pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Alex LowryVery similar style99 / 100
Motherwell · Attacking midfielder · Premiership 2026/2027 · Wide Creator
Similar in dribbling, ball security, attacking involvement. Different in defensive duels, aerial play.
- Elijah JustVery similar style98 / 100
Motherwell · Attacking midfielder · Premiership 2025/2026
Similar in ball security, attacking involvement, chance creation. Different in dribbling, passing.
- Thelo AasgaardVery similar style96 / 100
Rangers · Attacking midfielder · Premiership 2025/2026
Similar in dribbling, shooting, aerial play. Different in passing, ball security.
Show 2 more similar players
- Adil AouchicheVery similar style96 / 100
Aberdeen · Attacking midfielder · Premiership 2025/2026 · Inside Forward
Similar in chance creation, ball security, aerial play. Different in defensive duels, defensive activity.
- Fiete ArpVery similar style95 / 100
Odense BK · Attacking midfielder · Superliga 2026/2027 · Direct Winger
Similar in attacking involvement, dribbling, defensive activity. Different in defensive duels, ball security.
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
Rising strongly
Detail
Momentum ScoreLast 2 scored matches 76.0 vs earlier 64.0 (+12.0).74.0/ 100
Development
Some upward signs
Detail
Breakout ScoreLooks at recent performances, playing time and starts to spot signs that a player is improving. It is not a prediction.Minutes −8 · Starts 0pp68.8/ 100
Decline
No clear decline
Detail
Decline ScoreLooks for signs that the player's performances and playing time are dropping. It is not a prediction.30 scored matches31.2/ 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.32 rated opponents46.3/ 100
Efficiency
Above average
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 100%64.7/ 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.
Insufficient sample. The comparison needs at least 3 completed fixtures in both groups (currently 30 started and 2 not started).
Efficiency Score components
- Pass accuracyweight 35%
- 79.7%
- Dribble success rateweight 30%
- 64.3%
- Duel win rateweight 20%
- 52.2%
- Shot on target rateweight 15%
- 47.5%
| Metric | Rate |
|---|---|
| Pass accuracy | 79.7% |
| Dribble success rate | 64.3% |
| Duel win rate | 52.2% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | 47.5% |
| Long ball accuracy | 59.9% |
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.