Nordsjælland
Nordsjælland are 3rd in the Superliga after 10 matches in the 2026/2027 season. They have won 5 matches, scored 14 goals and conceded 10.
They average 1.40 goals per match and have kept a clean sheet in 50% of their league matches.
- Competition
- Superliga (Denmark)
- Season
- 2026/2027
- Position
- 3 of 12Based on completed matches
- Team Strength
- 58.7FootyCabin rating, 0–100
- Founded
- 2003
- Form
- Win
- Loss
- Draw
- Win
- Loss
- Draw
Team intelligence
What stands out
- High Volume / Low ConversionMore shots than the league average, but a lower scoring rate.
- Possession & TerritoryMore possession and more corners than most teams in the league.
- Clean sheetsClean sheet in 50% of league matches.
- Scoring timing43% of goals scored in minutes 76–90+.
Season summary
Calculated from completed matches only. Scheduled matches are never counted.
- Matches played
- 10
- Wins
- 5
- Draws
- 3
- Losses
- 2
- Goals scored
- 14
- Goals conceded
- 10
- Goal difference
- +4
- Points
- 18
1.80 per match
Efficiency Rates
Success rates for passing, shooting, dribbling, duels and defending.
| Statistic | Rate |
|---|---|
| Pass accuracy | 87.9% |
| Shots on target rate | 27.3% |
| Dribble success | 51.7% |
| Duel win rate | 47.7% |
| Aerial win rate | 75.9% |
| Tackle success | 81.6% |
0–100% scale
Team performance
Team totals built from recorded player statistics in 9 completed matches.
| Statistic | Total | Per match | Matches with data |
|---|---|---|---|
| Shots | 110 | 12.22 | 9 |
| Shots on target | 30 | 3.33 | 9 |
| Passes | 3,561 | 445.13 | 8 |
| Accurate passes | 3,131 | 391.38 | 8 |
| Passes into the final third | 355 | 44.38 | 8 |
| Key passes | 87 | 10.88 | 8 |
| Chances created | 78 | 8.67 | 9 |
| Successful dribbles | 61 | 7.63 | 8 |
| Tackles | 87 | 10.88 | 8 |
| Interceptions | 40 | 5.00 | 8 |
| Clearances | 108 | 13.50 | 8 |
| Ball recoveries | 336 | 37.33 | 9 |
| Duels | 555 | 69.38 | 8 |
| Duels won | 265 | 33.13 | 8 |
| Aerial duels | 79 | 8.78 | 9 |
| Aerial duels won | 60 | 6.67 | 9 |
| Goalkeeper saves | 21 | 3.50 | 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
Possession & Creation
Keeps the ball more than most league teams and turns that possession into chances.
Style summary: Possession & Attack. A descriptive summary of the profile below, not a rating.
- Possession96
Possession is well above the league average. (56.4%, 10 fixtures)
- Attacking output96
Attacking output is well above the league average. (17.90 per match, 10 fixtures)
- Chance creation96
Chance creation is well above the league average. (13.40 per match, 10 fixtures)
- Defensive activity46
Defensive activity is around the league average. (76.30 per match, 10 fixtures)
- Ball security96
Ball security is well above the league average. (86.7%, 10 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: 96High-attacking output teams: 1.62 points / matchLow-attacking output teams: 1.00 points / match
This team is in the league's high-attacking output group.
High-attacking output teams average 0.62 more points per match than low-attacking output teams.
- Chance creationTeam score: 96High-chance creation teams: 1.62 points / matchLow-chance creation teams: 1.00 points / match
This team is in the league's high-chance creation group.
High-chance creation teams average 0.62 more points per match than low-chance creation teams.
- Ball securityTeam score: 96High-ball security teams: 1.53 points / matchLow-ball security teams: 1.14 points / match
This team is in the league's high-ball security group.
High-ball security teams average 0.39 more points per match than low-ball security teams.
Possession profile
Territory context
Possession & Territory
More possession and more corners than most teams in the league.
- Possession:
- 96 / 100
- Corners:
- 71 / 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
- 56.4%
- Home
- 54.0%
- Away
- 58.8%
Based on 10 of 10 completed matches.
Recent results
Latest completed matches, newest first.
| Date | Opponent | Venue | Score | Result | Competition |
|---|---|---|---|---|---|
| 09 Oct 2026 | Odense BK | Home | 0–0 | Draw | Superliga |
| 20 Sept 2026 | Viborg FF | Away | 1–4 | Loss | Superliga |
| 13 Sept 2026 | AGF | Home | 2–0 | Win | Superliga |
| 07 Sept 2026 | FC Midtjylland | Away | 2–2 | Draw | Superliga |
| 03 Sept 2026 | FC København | Away | 0–2 | Loss | Superliga |
| 30 Aug 2026 | Brøndby IF | Home | 3–1 | Win | Superliga |
| 23 Aug 2026 | Sønderjyske Fodbold | Away | 3–0 | Win | Superliga |
| 16 Aug 2026 | Silkeborg IF | Home | 1–0 | Win | Superliga |
| 02 Aug 2026 | Randers FC | Home | 1–0 | Win | Superliga |
| 26 Jul 2026 | Horsens | Away | 1–1 | Draw | Superliga |
Home and away
Home and away records this season.
| Split | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|
| Home | 5 | 4 | 1 | 0 | 7 | 1 | 6 | 13 |
| Away | 5 | 1 | 2 | 2 | 7 | 9 | -2 | 5 |
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.
- 3Nicklas RøjkjærView player
Central midfielder
Impact 64.0·Creative Impact 75.0
Creative Midfielder
Best category: Creative Impact
Squad
Players used this season, ordered by minutes played. Impact Score is shown once a player has enough match data.
| Player | Role | |||||
|---|---|---|---|---|---|---|
| Andreas Hansen | Goalkeeper | 10 | 900 | — | — | 60.2 |
| Runar Norheim | Winger | 10 | 840 | 1 | 1 | 44.6 |
| Justin Janssen | Central midfielder | 10 | 779 | 1 | 1 | 66.1 |
| Juho Lähteenmäki | Winger | 10 | 772 | — | 2 | 53.3 |
| Peter Ankersen | Centre back | 8 | 635 | — | 1 | 52.4 |
| Mark Brink | Central midfielder | 9 | 603 | 1 | 3 | 53.3 |
| Noah Markmann | Centre back | 7 | 586 | — | — | 63.2 |
| Ibrahim Adel | Winger | 10 | 545 | 1 | 1 | 52.6 |
| Prince Amoako Junior | Winger | 8 | 504 | — | — | 65.1 |
| Tobias Salquist | Centre back | 6 | 503 | — | 1 | 58.1 |
| Villum Berthelsen | Striker | 10 | 468 | 1 | — | 57.7 |
| Stephen Acquah | Centre back | 7 | 446 | — | — | 60.9 |
| Alexander Lind | Striker | 8 | 431 | 3 | 1 | 57.4 |
| Nicklas Røjkjær | Central midfielder | 7 | 408 | 1 | — | 64.0 |
| Hjalte Boe Rasmussen | Winger | 10 | 394 | 3 | 1 | 40.6 |
| Victor Nelsson | Centre back | 4 | 360 | — | — | Sample too small |
| Lamine Sadio | Winger | 7 | 254 | — | — | Sample too small |
| Caleb Yirenkyi | Centre back | 2 | 180 | — | — | Sample too small |
| Markus Walker | Winger | 3 | 156 | 2 | — | Sample too small |
| Levy Nene | Winger | 1 | 64 | — | — | Sample too small |
| Malte Heyde | Role not established | 5 | 60 | — | — | Sample too small |
| Ola Solbakken | Role not established | 1 | 13 | — | — | 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.
Goalkeeper
Goalkeeper
Centre back
- Noah MarkmannView player
Impact 63.2·Defensive Activity 70.5
- View player
- Tobias SalquistView player
Impact 58.1·Ball Security 90.8
Central midfielder
- Justin JanssenView player
Impact 66.1·Ball Security 93.5
- View player
- View player
Winger
- Prince Amoako JuniorView player
Impact 65.1·Attacking Threat 97.6
- View player
- View player
Striker
- Villum BerthelsenView player
Impact 57.7·Creative Impact 97.1
- 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
- 1Justin JanssenCentral midfielderArchetype not available66.1/100
- 2Prince Amoako JuniorWingerArchetype not available65.1/100
- 3Nicklas Røjkjær Central midfielderCreative Midfielder64.0/100
Squad archetype profile
The most common playing styles in the squad this season.
- Ball-Playing Defender225%
- Creative Midfielder225%
- Direct Forward113%
- Distribution-Focused Goalkeeper113%
- Inside Forward113%
- Wide Creator113%
Based on 8 players with enough data for a playing-style classification.
Player contributions
Team leaders for minutes, goals, assists and Impact Score this season.
Most minutes
All completed fixtures this season.
- 1Andreas Hansen900minutes
- 2Runar Norheim840minutes
- 3Justin Janssen779minutes
- 4Juho Lähteenmäki772minutes
- 5Peter Ankersen635minutes
Most goals
Season totals from imported match data.
- 1Alexander Lind3goals
- 2Hjalte Boe Rasmussen3goals
- 3Markus Walker2goals
- 4Runar Norheim1goals
- 5Justin Janssen1goals
Most assists
Season totals from imported match data.
- 1Mark Brink3assists
- 2Juho Lähteenmäki2assists
- 3Runar Norheim1assists
- 4Justin Janssen1assists
- 5Peter Ankersen1assists
Highest Impact Score
Only players who meet the publishable sample and coverage rules.
- 1Justin Janssen66.1/ 100
- 2Prince Amoako Junior65.1/ 100
- 3Nicklas Røjkjær 64.0/ 100
- 4Noah Markmann63.2/ 100
- 5Stephen Acquah60.9/ 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.