FootyCabin
Get started
Team profileVFF10 completed fixtures

Viborg FF

Viborg FF are 3rd in the Superliga after 10 matches in the 2026/2027 season. They have won 6 matches, scored 17 goals and conceded 8.

They average 1.70 goals per match and have kept a clean sheet in 40% of their league matches.

Season
2026/2027
Position
3 of 12Based on completed matches
Team Strength
66.0FootyCabin rating, 0–100
Founded
1896
Form
  1. Win
  2. Win
  3. Loss
  4. Draw
  5. Win
  6. Win
Oldest to newest

Team intelligence

What stands out

  • Limited TerritoryLess possession than most teams, with an average number of corners.
  • Balanced ProfileNo single playing-style dimension stands out against the rest of the league.
  • Clean sheetsClean sheet in 40% of league matches.

Season summary

Calculated from completed matches only. Scheduled matches are never counted.

Matches played
10
Wins
6
Draws
2
Losses
2
Goals scored
17
Goals conceded
8
Goal difference
+9
Points
20

2.00 per match

Efficiency Rates

Success rates for passing, shooting, dribbling, duels and defending.

Team efficiency rates for Viborg FF 2026/2027
StatisticRate
Pass accuracy77.4%
Shots on target rate31.3%
Dribble success38.5%
Duel win rate46.5%
Aerial win rate77.9%
Tackle success57.7%
PASSSHOTDRIBDUELAERTACK

0–100% scale

Team performance

Team totals built from recorded player statistics in 10 completed matches.

Team totals
StatisticTotalPer matchMatches with data
Shots838.3010
Shots on target262.899
Passes2,784278.4010
Accurate passes2,156239.569
Passes into the final third27327.3010
Key passes656.5010
Chances created678.388
Successful dribbles424.679
Tackles10410.4010
Interceptions686.8010
Clearances15717.449
Ball recoveries26726.7010
Duels57263.569
Duels won26626.6010
Aerial duels777.7010
Aerial duels won606.0010
Goalkeeper saves103.333

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.

  • Possession29

    Possession is below the league average. (48.1%, 10 fixtures)

  • Attacking output46

    Attacking output is around the league average. (14.40 per match, 10 fixtures)

  • Chance creation54

    Chance creation is around the league average. (10.90 per match, 10 fixtures)

  • Defensive activity25

    Defensive activity is below the league average. (73.60 per match, 10 fixtures)

  • Ball security79

    Ball security is above the league average. (84.8%, 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: 46
    High-attacking output teams: 1.59 points / matchLow-attacking output teams: 0.97 points / match

    This team sits between the league's high and low attacking output groups.

    High-attacking output teams average 0.62 more points per match than low-attacking output teams.

  • Chance creationTeam score: 54
    High-chance creation teams: 1.59 points / matchLow-chance creation teams: 0.97 points / match

    This team sits between the league's high and low chance creation groups.

    High-chance creation teams average 0.62 more points per match than low-chance creation teams.

  • Ball securityTeam score: 79
    High-ball security teams: 1.60 points / matchLow-ball security teams: 1.12 points / match

    This team is in the league's high-ball security group.

    High-ball security teams average 0.48 more points per match than low-ball security teams.

Possession profile

Territory context

Limited Territory

Less possession than most teams, with an average number of corners.

Possession:
29 / 100
Corners:
46 / 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
48.1%
Home
45.8%
Away
50.4%

Based on 10 of 10 completed matches.

Recent results

Latest completed matches, newest first.

Recent completed fixtures
DateOpponentVenueScoreResultCompetition
11 Oct 2026Randers FCAway2–0WinSuperliga
20 Sept 2026NordsjællandHome4–1WinSuperliga
13 Sept 2026Silkeborg IFAway1–1DrawSuperliga
04 Sept 2026Lyngby BoldklubHome0–2LossSuperliga
28 Aug 2026HorsensAway3–2WinSuperliga
23 Aug 2026FC KøbenhavnHome4–0WinSuperliga
14 Aug 2026AGFHome2–1WinSuperliga
07 Aug 2026Sønderjyske FodboldAway0–0DrawSuperliga
02 Aug 2026Brøndby IFAway0–1LossSuperliga
24 Jul 2026Odense BKHome1–0WinSuperliga

Home and away

Home and away records this season.

Home and away records from completed fixtures
SplitPWDLGFGAGDPts
Home5401114712
Away52216428

Attack & defence

How the team has performed in attack and defence across completed league matches this season.

Attack

Goals / match1.70
Failed to score30%

Defence

Goals conceded / match0.80
Clean sheets40%

Match pattern

Both teams scored40%
Corners for / match5.1
Corners against / match5.9

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.

Full methodology