Player dossier
Premiership · 2026/2027
Min-su Kim
Min-su Kim- Team
- Rangers
- Role
- Attacking midfielder
- Nationality
- Spain
- Date of birth
- 19 Jan 2006 (age 20)
- Shirt number
- 10
- Competition
- Premiership (Scotland)
- Season
- 2026/2027
Season snapshot
7 appearances · 486 minutesDeveloping sampleAll figures cover completed fixtures in this season only.
- Appearances
- 7
- Starts
- 6
- Minutes
- 486
- Goals
- 0
- 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 7 rated matches.Third-party match rating. Not used in FootyCabin scores.
7.10
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
63.3/ 100
Above average for their role
Early-season estimate · 7 appearances · 486 minutes as attacking midfielder
Creative Impact Score
67.7/ 100
Above average for their role
Compared with midfielders (43)
Attacking Threat Score
73.1/ 100
Clearly above average for their role
Compared with midfielders (43)
Ball Security Score
50.0/ 100
Slightly above average for their role
Compared with midfielders (43)
How the Impact Score is built
- Duelweight 10%
- 55.6
- Passingweight 20%
- 45.8
- Creationweight 30%
- 70.8
- Shootingweight 15%
- 65.3
- Dribblingweight 15%
- 79.2
- Ball retentionweight 10%
- 57.0
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.
No clear archetype yet. This player's profile does not lean strongly enough towards one style.
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 | 45.8 |
| Creation | 70.8 |
| Ball retention | 57.0 |
| Duel | 55.6 |
| Dribbling | 79.2 |
| Defensive | 41.7 |
| Shooting | 65.3 |
Dashed ring marks the attacking midfielder median (50th percentile) across 12 comparable players.
Percentile detail
Compared with Attacking midfielder players in this season12 in reference groupSmall reference group
- Passing45.8pctl
- Creation70.8pctl
- Ball retention57.0pctl
- Duel55.6pctl
- Dribbling79.2pctl
- Defensive41.7pctl
- Shooting65.3pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Mikey MooreVery similar style100 / 100
Rangers · Winger · Premiership 2025/2026 · Inside Forward
Similar in passing, attacking involvement, aerial play. Different in defensive duels, shooting.
- Jesper KarlssonVery similar style100 / 100
Aberdeen · Winger · Premiership 2025/2026 · Wide Creator
Similar in ball security, aerial play, shooting. Different in dribbling, chance creation.
- Josh McPakeVery similar style99 / 100
Hearts · Winger · Premiership 2026/2027 · Direct Winger
Similar in chance creation, attacking involvement, passing. Different in shooting, aerial play.
Show 2 more similar players
- Clement BischoffVery similar style99 / 100
Brøndby IF · Winger · Superliga 2025/2026
Similar in aerial play, ball security, dribbling. Different in attacking involvement, chance creation.
- Djeidi GassamaVery similar style98 / 100
Rangers · Winger · Premiership 2026/2027
Similar in ball security, attacking involvement, chance creation. 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
Steady form
Detail
Momentum ScoreLast 2 scored matches 59.8 vs earlier 60.3 (−0.5).49.1/ 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 +18 · Starts +20pp55.9/ 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.7 scored matches44.1/ 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.7 rated opponents45.8/ 100
Efficiency
Above average
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 100%62.1/ 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: +1.34 points per match. This is a description of results only and does not mean the player caused them.
Efficiency Score components
- Pass accuracyweight 35%
- 82.6%
- Dribble success rateweight 30%
- 59.3%
- Duel win rateweight 20%
- 50.8%
- Shot on target rateweight 15%
- 34.8%
| Metric | Rate |
|---|---|
| Pass accuracy | 82.6% |
| Dribble success rate | 59.3% |
| Duel win rate | 50.8% |
| Aerial duel win rate | Not available |
| Tackle success rate | 71.4% |
| Shot on target rate | 34.8% |
| Long ball accuracy | 57.1% |
Min-su Kim · 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.