Player dossier
Superliga · 2025/2026
Philip Billing
Philip Billing- Team
- FC Midtjylland
- Role
- Defensive midfielder
- Nationality
- Denmark
- Date of birth
- 11 Jun 1996 (age 30)
- Shirt number
- 8
- Competition
- Superliga (Denmark)
- Season
- 2025/2026
Season snapshot
20 appearances · 1,568 minutesEstablished sampleAll figures cover completed fixtures in this season only.
- Appearances
- 20
- Starts
- 18
- Minutes
- 1,568
- Goals
- 2
- Assists
- 2
- Yellow cards
- 6
- 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 20 rated matches.Third-party match rating. Not used in FootyCabin scores.
7.16
FootyCabin performance
FootyCabin scores compare this player with others in the same role, league and season. Higher scores indicate stronger statistical performance.
Impact Score
57.9/ 100
Above average for their role
Established-sample estimate · 20 appearances · 1,568 minutes as defensive midfielder
Ball Security Score
54.2/ 100
Slightly above average for their role
Compared with defensive midfielders (37)
Defensive Activity Score
96.0/ 100
Among the best in their role
Compared with defensive midfielders (37)
Defensive Reliability Score
67.5/ 100
Above average for their role
Compared with defensive midfielders (37)
How the Impact Score is built
- Duelweight 20%
- 61.8
- Passingweight 25%
- 42.8
- Creationweight 10%
- 57.7
- Defensiveweight 30%
- 71.1
- Ball retentionweight 15%
- 51.8
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
- Duel win rate97th
- Tackles per 9095th
- Interceptions 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 defensive midfielder are shown.
| Family | Percentile |
|---|---|
| Passing | 42.8 |
| Ball retention | 51.8 |
| Defensive | 71.1 |
| Duel | 61.8 |
| Creation | 57.7 |
| Dribbling | 63.9 |
| Shooting | 57.0 |
Dashed ring marks the defensive midfielder median (50th percentile) across 37 comparable players.
Percentile detail
Compared with Defensive midfielder players in this season37 in reference group
- Passing42.8pctl
- Ball retention51.8pctl
- Defensive71.1pctl
- Duel61.8pctl
- Creation57.7pctl
- Dribbling63.9pctl
- Shooting57.0pctl
Similar players
Players with the most similar statistical playing styles. This compares style, not player quality.
- Laurent MendyVery similar style98 / 100
Hearts · Defensive midfielder · Premiership 2026/2027
Similar in attacking involvement, passing, aerial play. Different in defensive duels, defensive activity.
- Ryan FinniganVery similar style98 / 100
Dundee · Defensive midfielder · Premiership 2026/2027 · Ball-Winning Midfielder
Similar in ball security, defensive activity, chance creation. Different in shooting, dribbling.
- Max Isaac EjdumVery similar style98 / 100
Brøndby IF · Defensive midfielder · Superliga 2026/2027 · Box-to-Box Midfielder
Similar in chance creation, ball security, passing. Different in defensive duels, dribbling.
Show 2 more similar players
- Frederik LauenborgVery similar style98 / 100
Randers FC · Defensive midfielder · Superliga 2025/2026 · Ball-Winning Midfielder
Similar in attacking involvement, shooting, defensive duels. Different in aerial play, defensive activity.
- Afeez AremuVery similar style97 / 100
Aberdeen · Defensive midfielder · Premiership 2026/2027 · Ball-Winning Midfielder
Similar in ball security, dribbling, defensive duels. Different in shooting, aerial play.
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 50.1 vs earlier 58.8 (−8.7).32.6/ 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 +9 · Starts +6pp40.1/ 100
Decline
Some signs of decline
Detail
Decline ScoreLooks for signs that the player's performances and playing time are dropping. It is not a prediction.19 scored matches59.9/ 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.20 rated opponents48.2/ 100
Efficiency
Too few recorded actions to score
Detail
Efficiency ScoreShows how often the player's actions lead to successful results.Coverage 85%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: −0.35 points per match. This is a description of results only and does not mean the player caused them.
| Metric | Rate |
|---|---|
| Pass accuracy | 83.9% |
| Dribble success rate | 66.7% |
| Duel win rate | 65.8% |
| Aerial duel win rate | Not available |
| Tackle success rate | 58.2% |
| Shot on target rate | 23.1% |
| Long ball accuracy | 69.1% |
Philip Billing · 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.