Player dossier
Superliga · 2026/2027
Mohamed Sankoh
Mohamed Sankoh- Team
- Randers FC
- Role
- Striker
- Nationality
- Netherlands
- Date of birth
- 16 Oct 2003 (age 22)
- Shirt number
- 30
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
Season snapshot
9 appearances · 388 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 9
- Starts
- 4
- Minutes
- 388
- Goals
- 3
- Assists
- 0
- Yellow cards
- 1
- 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 9 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.77
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
51.5/ 100
Slightly above average for their role
Early-season estimate · 9 appearances · 388 minutes as striker
How the Impact Score is built
- Duelweight 15%
- 50.0
- Passingweight 10%
- 66.1
- Creationweight 20%
- 25.0
- Shootingweight 35%
- 60.7
- Dribblingweight 10%
- 47.5
- Ball retentionweight 10%
- 63.6
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 Forward
Moderate matchA penalty-box scorer: high shot volume, accuracy and non-penalty goals.
Why this style
- Non-penalty goals per 9085th
- Shot accuracy59th
- Shots per 9054th
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 | 60.7 |
| Creation | 25.0 |
| Ball retention | 63.6 |
| Duel | 50.0 |
| Dribbling | 47.5 |
| Passing | 66.1 |
| Defensive | 35.0 |
Dashed ring marks the striker median (50th percentile) across 27 comparable players.
Percentile detail
Compared with Striker players in this season27 in reference group
- Shooting60.7pctl
- Creation25.0pctl
- Ball retention63.6pctl
- Duel50.0pctl
- Dribbling47.5pctl
- Passing66.1pctl
- Defensive35.0pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Alexander LindVery similar style100 / 100
Nordsjælland · Striker · Superliga 2025/2026
Similar in defensive duels, ball security, aerial play. Different in chance creation, attacking involvement.
- Barney StewartVery similar style100 / 100
Falkirk · Striker · Premiership 2025/2026
Similar in shooting, aerial play, chance creation. Different in dribbling, defensive duels.
- Jay-Roy GrotVery similar style100 / 100
Odense BK · Striker · Superliga 2025/2026
Similar in attacking involvement, dribbling, aerial play. Different in ball security, defensive duels.
Show 2 more similar players
- Thibault KlidjéVery similar style99 / 100
Hibernian · Striker · Premiership 2025/2026 · Goal-Focused Forward
Similar in dribbling, aerial play, ball security. Different in shooting, passing.
- Kevin NisbetVery similar style99 / 100
Aberdeen · Striker · Premiership 2026/2027 · Direct Forward
Similar in dribbling, ball security, aerial play. Different in defensive duels, passing.
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 71.3 vs earlier 56.6 (+14.8).79.6/ 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 −17 · Starts −17pp67.2/ 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.5 scored matches32.8/ 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.9 rated opponents48.1/ 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: 0.00 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 79.2% |
| Dribble success rate | 57.1% |
| Duel win rate | 48.0% |
| Aerial duel win rate | Not available |
| Tackle success rate | Not available |
| Shot on target rate | 36.4% |
| Long ball accuracy | 83.3% |
Mohamed Sankoh · 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.