Player dossier
Superliga · 2025/2026
Han-beom Lee
Han-beom Lee- Team
- FC Midtjylland
- Role
- Centre back
- Nationality
- South Korea
- Date of birth
- 17 Jun 2002 (age 24)
- Shirt number
- 3
- Competition
- Superliga (Denmark)
- Season
- 2025/2026
Season snapshot
29 appearances · 2,339 minutesEstablished sampleAll figures cover completed fixtures in this season only.
- Appearances
- 29
- Starts
- 25
- Minutes
- 2,339
- Goals
- 0
- Assists
- 1
- Yellow cards
- 3
- 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 28 rated matches.Third-party match rating. Not used in FootyCabin scores.
6.86
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
48.1/ 100
Slightly above average for their role
Established-sample estimate · 29 appearances · 2,339 minutes as centre back
Defensive Activity Score
46.1/ 100
Slightly above average for their role
Compared with centre backs (51)
Defensive Reliability Score
31.7/ 100
Close to average for their role
Compared with centre backs (51)
Ball Security Score
15.1/ 100
Below average for their role
Compared with centre backs (51)
How the Impact Score is built
- Duelweight 25%
- 68.8
- Passingweight 25%
- 30.4
- Defensiveweight 35%
- 55.1
- Ball retentionweight 15%
- 27.1
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.
Aerial Defender
Strong matchDefends the box in the air, contesting and winning a lot of aerial duels.
Why this style
- Aerial duels per 9091th
- Aerial win rate83th
- Clearances per 9034th
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 centre back are shown.
| Family | Percentile |
|---|---|
| Passing | 30.4 |
| Defensive | 55.1 |
| Ball retention | 27.1 |
| Duel | 68.8 |
| Creation | 58.7 |
Dashed ring marks the centre back median (50th percentile) across 51 comparable players.
Percentile detail
Compared with Centre back players in this season51 in reference group
- Passing30.4pctl
- Defensive55.1pctl
- Ball retention27.1pctl
- Duel68.8pctl
- Creation58.7pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Robbie DeasVery similar style99 / 100
Kilmarnock · Centre back · Premiership 2025/2026 · Aerial Defender
Similar in ball security, dribbling, chance creation. Different in aerial play, passing.
- Valdemar LundVery similar style99 / 100
Vejle Boldklub · Centre back · Superliga 2025/2026 · Aerial Defender
Similar in ball security, aerial play, passing. Different in shooting, chance creation.
- Ryan AstleyVery similar style98 / 100
Dundee · Centre back · Premiership 2025/2026
Similar in dribbling, attacking involvement, defensive duels. Different in aerial play, passing.
Show 2 more similar players
- Magnus JensenVery similar style98 / 100
Sønderjyske Fodbold · Centre back · Superliga 2025/2026 · Aerial Defender
Similar in dribbling, passing, attacking involvement. Different in defensive activity, shooting.
- Martin ErlićVery similar style97 / 100
FC Midtjylland · Centre back · Superliga 2026/2027
Similar in attacking involvement, dribbling, defensive duels. Different in chance creation, 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 57.1 vs earlier 46.2 (+10.9).71.9/ 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 +2 · Starts +4pp67.6/ 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.26 scored matches32.4/ 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.29 rated opponents46.9/ 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: +0.21 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 85.0% |
| Dribble success rate | 75.0% |
| Duel win rate | 58.8% |
| Aerial duel win rate | 65.7% |
| Tackle success rate | Not available |
| Shot on target rate | 9.1% |
| Long ball accuracy | 47.8% |
Han-beom Lee · 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.