Sønderjyske Fodbold
Sønderjyske Fodbold are 12th in the Superliga after 9 matches in the 2026/2027 season. They have won 1 match, scored 12 goals and conceded 21.
They average 1.33 goals per match and have kept a clean sheet in 11% of their league matches.
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
- Position
- 12 of 12Based on completed matches
- Team Strength
- 24.4FootyCabin rating, 0–100
- Founded
- 2004
- Form
- Loss
- Loss
- Loss
- Loss
- Draw
- Win
Team intelligence
What stands out
- Low Volume / Average ConversionFewer shots than the league average, with an average scoring rate.
- Limited TerritoryLess possession and fewer corners than most teams in the league.
- Both teams scoredBoth teams scored in 67% of league matches.
Season summary
Calculated from completed matches only. Scheduled matches are never counted.
- Matches played
- 9
- Wins
- 1
- Draws
- 2
- Losses
- 6
- Goals scored
- 12
- Goals conceded
- 21
- Goal difference
- -9
- Points
- 5
0.56 per match
Efficiency Rates
Success rates for passing, shooting, dribbling, duels and defending.
| Statistic | Rate |
|---|---|
| Pass accuracy | 75.3% |
| Shots on target rate | 31.7% |
| Dribble success | 39.8% |
| Duel win rate | 51.9% |
| Aerial win rate | 77.3% |
| Tackle success | 60.8% |
0–100% scale
Team performance
Team totals built from recorded player statistics in 9 completed matches.
| Statistic | Total | Per match | Matches with data |
|---|---|---|---|
| Shots | 60 | 6.67 | 9 |
| Shots on target | 19 | 2.38 | 8 |
| Passes | 2,365 | 262.78 | 9 |
| Accurate passes | 1,780 | 197.78 | 9 |
| Passes into the final third | 382 | 42.44 | 9 |
| Key passes | 52 | 5.78 | 9 |
| Chances created | 54 | 6.00 | 9 |
| Successful dribbles | 33 | 4.71 | 7 |
| Tackles | 102 | 11.33 | 9 |
| Interceptions | 70 | 7.78 | 9 |
| Clearances | 177 | 19.67 | 9 |
| Ball recoveries | 314 | 34.89 | 9 |
| Duels | 555 | 61.67 | 9 |
| Duels won | 288 | 32.00 | 9 |
| Aerial duels | 119 | 14.88 | 8 |
| Aerial duels won | 92 | 11.50 | 8 |
| Goalkeeper saves | 22 | 3.67 | 6 |
These are calculated from player data rather than official team totals. A dash or "not available" means no value was recorded. It never means zero.
How this team plays
See how this team's playing style compares with the rest of the league. Higher scores mean the team shows more of that style, not that it is better.
Team style
Balanced Profile
No single playing-style dimension stands out against the rest of the league.
Style summary: Balanced. A descriptive summary of the profile below, not a rating.
- Possession4
Possession is well below the league average. (39.7%, 9 fixtures)
- Attacking output25
Attacking output is below the league average. (11.56 per match, 9 fixtures)
- Chance creation29
Chance creation is below the league average. (9.78 per match, 9 fixtures)
- Defensive activity54
Defensive activity is around the league average. (76.44 per match, 9 fixtures)
- Ball security4
Ball security is well below the league average. (75.8%, 9 fixtures)
Scores run from 0 to 100 and compare this team with the 12 teams in the same league and season. Higher means more of that characteristic, not better.
Style context
Shows how this team's playing-style characteristics relate to league performance patterns this season.
This is descriptive context, not evidence that a playing style causes better or worse results.
- Attacking outputTeam score: 25High-attacking output teams: 1.62 points / matchLow-attacking output teams: 1.00 points / match
This team is in the league's low-attacking output group.
High-attacking output teams average 0.62 more points per match than low-attacking output teams.
- Chance creationTeam score: 29High-chance creation teams: 1.62 points / matchLow-chance creation teams: 1.00 points / match
This team is in the league's low-chance creation group.
High-chance creation teams average 0.62 more points per match than low-chance creation teams.
- Ball securityTeam score: 4High-ball security teams: 1.53 points / matchLow-ball security teams: 1.14 points / match
This team is in the league's low-ball security group.
High-ball security teams average 0.39 more points per match than low-ball security teams.
Possession profile
Territory context
Limited Territory
Less possession and fewer corners than most teams in the league.
- Possession:
- 4 / 100
- Corners:
- 29 / 100
Scores run from 0 to 100 and compare this team with the rest of the league. Higher means more of that characteristic, not better performance.
- Average possession
- 39.7%
- Home
- 38.6%
- Away
- 41.0%
Based on 9 of 9 completed matches.
Recent results
Latest completed matches, newest first.
| Date | Opponent | Venue | Score | Result | Competition |
|---|---|---|---|---|---|
| 20 Sept 2026 | Randers FC | Home | 4–2 | Win | Superliga |
| 13 Sept 2026 | Lyngby Boldklub | Away | 1–1 | Draw | Superliga |
| 06 Sept 2026 | Horsens | Home | 2–5 | Loss | Superliga |
| 31 Aug 2026 | FC København | Away | 1–3 | Loss | Superliga |
| 23 Aug 2026 | Nordsjælland | Home | 0–3 | Loss | Superliga |
| 17 Aug 2026 | Brøndby IF | Away | 2–3 | Loss | Superliga |
| 07 Aug 2026 | Viborg FF | Home | 0–0 | Draw | Superliga |
| 03 Aug 2026 | Odense BK | Away | 0–1 | Loss | Superliga |
| 26 Jul 2026 | FC Midtjylland | Home | 2–3 | Loss | Superliga |
Home and away
Home and away records this season.
| Split | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|
| Home | 5 | 1 | 1 | 3 | 8 | 13 | -5 | 4 |
| Away | 4 | 0 | 1 | 3 | 4 | 8 | -4 | 1 |
Attack & defence
How the team has performed in attack and defence across completed league matches this season.
Attack
Defence
Match pattern
Standout players
The team's leading players by FootyCabin Impact Score this season. Players are shown once they have enough match data.
- 2Olti HyseniView player
Winger
Impact 53.5·Non-Penalty Finishing 83.3
Inside Forward
Best category: Non-Penalty Finishing
- 3Daníel Leó GrétarssonView player
Centre back
Impact 49.4·Defensive Activity 83.3
Defensive Stopper
Best category: Defensive Activity
Squad
Players used this season, ordered by minutes played. Impact Score is shown once a player has enough match data.
| Player | Role | |||||
|---|---|---|---|---|---|---|
| Maxime Soulas | Centre back | 9 | 810 | — | 1 | 46.0 |
| Mohamed Cherif Haidara | Attacking midfielder | 9 | 768 | 4 | — | 39.3 |
| Ebube Duru | Full back | 9 | 747 | — | — | 41.2 |
| Magnus JensenMultiple teams | Centre back | 9 | 694 | 2 | — | 45.6 |
| Sefer Emini | Defensive midfielder | 8 | 549 | — | 2 | 42.4 |
| Daníel Leó GrétarssonMultiple teams | Centre back | 7 | 532 | — | — | 49.4 |
| Alexander Munksgaard | Full back | 5 | 449 | 1 | 1 | 41.6 |
| Olti HyseniMultiple teams | Winger | 9 | 449 | 3 | 2 | 53.5 |
| Ismaïl Seydi | Winger | 8 | 411 | 2 | 1 | 57.2 |
| Marcus Bundgaard | Goalkeeper | 4 | 360 | — | — | Sample too small |
| Jacob Christensen | Defensive midfielder | 6 | 334 | — | 2 | Sample too small |
| Anders Hoeg | Winger | 7 | 324 | — | 1 | Sample too small |
| Brynjar Ingi Bjarnason | Centre back | 4 | 324 | 1 | — | Sample too small |
| Rasmus Vinderslev | Defensive midfielder | 4 | 323 | — | — | Sample too small |
| Matthew Hoppe | Striker | 8 | 299 | — | — | Sample too small |
| Nick Shinton | Goalkeeper | 3 | 270 | — | — | Sample too small |
| Andreas Oggesen | Defensive midfielder | 6 | 264 | — | — | Sample too small |
| Osaze De Rosario | Striker | 3 | 259 | 2 | 1 | Sample too small |
| David Boison | Winger | 4 | 234 | — | — | Sample too small |
| Dalton Wilkins | Winger | 6 | 209 | — | 1 | Sample too small |
| Nicolai Flø | Goalkeeper | 2 | 180 | — | — | Sample too small |
| Pachanga Kristensen | Centre back | 4 | 166 | — | — | Sample too small |
| Simon Wæver | Defensive midfielder | 2 | 149 | — | — | Sample too small |
| Bubacarr Tambedou | Winger | 5 | 137 | 1 | — | Sample too small |
| Gustav Wagner | Centre back | 3 | 118 | — | — | Sample too small |
| Alexander Lyng | Attacking midfielder | 2 | 100 | — | — | Sample too small |
| Tobias Klysner | Full back | 2 | 98 | — | — | Sample too small |
| Lirim Qamili | Striker | 3 | 91 | — | — | Sample too small |
| Anders Bergholt | Role not established | 3 | 83 | — | — | Sample too small |
| Teodor Berg Haltvik | Winger | 2 | 80 | — | — | Sample too small |
| Mathias Olesen | Defensive midfielder | 2 | 64 | — | — | Sample too small |
| Stefan Velkov | Centre back | 1 | 23 | — | — | Sample too small |
Appearances and minutes are from completed matches. Players who have played for more than one club this season are marked.
Squad by role
Players grouped by position. Impact data is shown only when there is enough match data.
Centre back
- View player
- Maxime SoulasView player
Impact 46.0·Defensive Activity 75.6
- View player
Centre back
- View player
- Maxime SoulasView player
Impact 46.0·Defensive Activity 75.6
- View player
Full back
- Alexander MunksgaardView player
Impact 41.6·Ball Security 58.7
- Ebube DuruView player
Impact 41.2·Defensive Activity 58.7
Attacking midfielder
Winger
- Ismaïl SeydiView player
Impact 57.2·Creative Impact 60.3
- View player
Team impact leaders
The team's highest Impact Scores this season, alongside each player's playing style. Playing style describes how they play, not how good they are. How this is built
- 1Ismaïl SeydiWingerArchetype not available57.2/100
- 2Olti HyseniWingerInside Forward53.5/100
- 3Daníel Leó GrétarssonCentre backDefensive Stopper49.4/100
Squad archetype profile
The most common playing styles in the squad this season.
Not enough players in this squad have a published archetype this season to show a meaningful distribution.
Player contributions
Team leaders for minutes, goals, assists and Impact Score this season.
Most minutes
All completed fixtures this season.
- 1Maxime Soulas810minutes
- 2Mohamed Cherif Haidara768minutes
- 3Ebube Duru747minutes
- 4Magnus Jensen694minutes
- 5Sefer Emini549minutes
Most goals
Season totals from imported match data.
- 1Mohamed Cherif Haidara4goals
- 2Olti Hyseni3goals
- 3Magnus Jensen2goals
- 4Ismaïl Seydi2goals
- 5Osaze De Rosario2goals
Most assists
Season totals from imported match data.
- 1Sefer Emini2assists
- 2Olti Hyseni2assists
- 3Jacob Christensen2assists
- 4Maxime Soulas1assists
- 5Alexander Munksgaard1assists
Highest Impact Score
Only players who meet the publishable sample and coverage rules.
- 1Ismaïl Seydi57.2/ 100
- 2Olti Hyseni53.5/ 100
- 3Daníel Leó Grétarsson49.4/ 100
- 4Maxime Soulas46.0/ 100
- 5Magnus Jensen45.6/ 100
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.