Player dossier
Premiership · 2025/2026
Afeez Aremu
Afeez Aremu- Team
- Aberdeen
- Role
- Defensive midfielder
- Nationality
- Nigeria
- Date of birth
- 03 Oct 1999 (age 27)
- Shirt number
- 32
- Competition
- Premiership (Scotland)
- Season
- 2025/2026
Season snapshot
10 appearances · 638 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 10
- Starts
- 9
- Minutes
- 638
- Goals
- 1
- Assists
- 1
- Yellow cards
- 1
- Red cards
- Not available
3 unused substitute matchdays
Counted from match events
Counted from match events
Counted from match events
Provider rating & details
Provider match ratingAverage rating across 10 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.72
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
49.4/ 100
Slightly above average for their role
Early-season estimate · 10 appearances · 638 minutes as defensive midfielder
Ball Security Score
35.9/ 100
Close to average for their role
Compared with defensive midfielders (47)
Defensive Activity Score
90.4/ 100
Among the best in their role
Compared with defensive midfielders (47)
Defensive Reliability Score
13.5/ 100
Among the lowest in their role
Compared with defensive midfielders (47)
How the Impact Score is built
- Duelweight 20%
- 48.9
- Passingweight 25%
- 41.5
- Creationweight 10%
- 26.6
- Defensiveweight 30%
- 70.9
- Ball retentionweight 15%
- 35.1
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.
Ball-Winning Midfielder
Strong matchWins the ball back often through tackles, interceptions and recoveries.
Why this style
- Ball recoveries per 9087th
- Interceptions per 9085th
- Tackles per 9076th
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 defensive midfielder are shown.
| Family | Percentile |
|---|---|
| Passing | 41.5 |
| Ball retention | 35.1 |
| Defensive | 70.9 |
| Duel | 48.9 |
| Creation | 26.6 |
| Dribbling | 49.3 |
| Shooting | 38.7 |
Dashed ring marks the defensive midfielder median (50th percentile) across 47 comparable players.
Percentile detail
Compared with Defensive midfielder players in this season47 in reference group
- Passing41.5pctl
- Ball retention35.1pctl
- Defensive70.9pctl
- Duel48.9pctl
- Creation26.6pctl
- Dribbling49.3pctl
- Shooting38.7pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Bartosz SliszVery similar style99 / 100
Brøndby IF · Defensive midfielder · Superliga 2025/2026 · Ball-Winning Midfielder
Similar in dribbling, attacking involvement, defensive activity. Different in defensive duels, shooting.
- Mike VestergårdVery similar style99 / 100
Vejle Boldklub · Central midfielder · Superliga 2025/2026 · Ball-Winning Midfielder
Similar in shooting, dribbling, chance creation. Different in attacking involvement, defensive duels.
- Henry CartwrightVery similar style99 / 100
Falkirk · Defensive midfielder · Premiership 2025/2026 · Deep Distributor
Similar in dribbling, chance creation, ball security. Different in defensive activity, attacking involvement.
Show 2 more similar players
- Mads EnggårdVery similar style99 / 100
Vejle Boldklub · Defensive midfielder · Superliga 2025/2026 · Ball-Winning Midfielder
Similar in defensive duels, dribbling, passing. Different in ball security, chance creation.
- Felix WintherVery similar style99 / 100
Fredericia · Defensive midfielder · Superliga 2025/2026
Similar in attacking involvement, shooting, aerial play. Different in defensive duels, 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 37.6 vs earlier 53.1 (−15.5).19.1/ 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 −7 · Starts 0pp25.4/ 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.9 scored matches74.6/ 100
Opposition strength
Easier than average
Detail
Opposition Difficulty ScoreShows how strong the opponents have been. It is context only and does not change the Impact Score.10 rated opponents41.7/ 100
Efficiency
Too few recorded actions to score
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 60%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: +0.08 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 75.8% |
| Dribble success rate | 57.1% |
| Duel win rate | 47.5% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | 33.3% |
| Long ball accuracy | 44.4% |
Afeez Aremu · 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.