Player dossier
Superliga · 2025/2026
Mads Freundlich
Mads Freundlich- Team
- Silkeborg IF
- Role
- Defensive midfielder
- Nationality
- Denmark
- Date of birth
- 25 Mar 2003 (age 23)
- Shirt number
- 33
- Competition
- Superliga (Denmark)
- Season
- 2025/2026
Passing & possession
Season figures recorded by the data provider, with a per-90 view where it makes sense. A statistic the provider never recorded is shown as not available, never as zero.
PassingSeason · Per 90
Overall passing volume and accuracy.
| Metric | Season | Per 90 |
|---|---|---|
| Passes | 1,021 | 72.13 |
| Accurate passes | 920 | 64.99 |
| Pass accuracy | 90.1% | – |
| Backward passes | 76 | 5.37 |
DistributionSeason · Per 90
Longer distribution and how often it finds a team mate.
| Metric | Season | Per 90 |
|---|---|---|
| Long balls | 107 | 7.56 |
| Long balls completed | 57 | 4.03 |
| Long ball accuracy | 53.3% | – |
| Through balls | Not available | – |
| Through balls completed | Not available | – |
Final third passingSeason · Per 90
Passing that reaches or creates inside the attacking third.
| Metric | Season | Per 90 |
|---|---|---|
| Passes in the final third | 128 | 9.04 |
| Key passes | 6 | 0.42 |
| Chances created | 5 | 0.35 |
| Big chances created | Not available | – |
Ball Security Score
Among the best in their role
How safely the player keeps the ball: losing it rarely and passing accurately.
Compared with defensive midfielders (37) · Statistics available 80%
What goes into this score
- Possession lost per 100 touches (lower is better)35%
- 10.85
- Pass accuracy25%
- 0.90
- Dispossessed per 90 (lower is better)20%
- 0.42
- Dribble success rate10%
- Not available
- Turnovers per 90 (lower is better)10%
- Not available
Ball securitySeason · Per 90
How safely the player keeps the ball while in possession.
| Metric | Season | Per 90 |
|---|---|---|
| Possession lost | 130 | 9.18 |
| Dispossessed | 6 | 0.42 |
| Turnovers | Not available | – |
| Touches | 1,198 | 84.63 |
| Dribbles attempted | 12 | 0.85 |
| Dribble success rate | 66.7% | – |
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.