Aarhus vs Viborg
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Match statistics
Recorded data · 2026-05-17 · Superliga (Denmark)
| Statistic | Aarhus | Viborg |
|---|---|---|
| Possession (%) | 64 | 36 |
| Total shots | 16 | 23 |
| Shots on target | 9 | 9 |
| Corners | 2 | 2 |
| Fouls | 11 | 18 |
| Offsides | 1 | 1 |
Both teams’ statistical background
Observed averages per match before 2026-05-17. Compare team production with the opponent’s conceded statistics. Every figure includes its sample size.
| Statistic and sample | Aarhus | Viborg |
|---|---|---|
| Total shots Superliga (Denmark) | 15.0 for · 13 matches 11.0 conceded · 13 matches Since 2026-02-09. Superliga (Denmark) | 14.7 for · 13 matches 13.4 conceded · 13 matches Since 2026-02-08. Superliga (Denmark) |
| Shots on target Superliga (Denmark) | 5.9 for · 13 matches 3.8 conceded · 13 matches Since 2026-02-09. Superliga (Denmark) | 4.8 for · 13 matches 4.2 conceded · 13 matches Since 2026-02-08. Superliga (Denmark) |
| Corners Superliga (Denmark) | 5.9 for · 13 matches 3.5 conceded · 13 matches Since 2026-02-09. Superliga (Denmark) | 4.9 for · 13 matches 4.3 conceded · 13 matches Since 2026-02-08. Superliga (Denmark) |
| Fouls Superliga (Denmark) | 11.3 for · 13 matches 15.4 conceded · 13 matches Since 2026-02-09. Superliga (Denmark) | 10.8 for · 13 matches 13.2 conceded · 13 matches Since 2026-02-08. Superliga (Denmark) |
| Offsides Superliga (Denmark) | 1.4 for · 13 matches 0.8 conceded · 13 matches Since 2026-02-09. Superliga (Denmark) | 1.5 for · 13 matches 2.2 conceded · 13 matches Since 2026-02-08. Superliga (Denmark) |
These are unweighted descriptive averages, not model projections, effective sample sizes or probabilities. Small samples can vary substantially. Missing data is not counted as zero.
How the analysis is calculated · Comparing leagues, cups and opponents · Lineups and missing players
Both teams’ previous results
Latest results before this match
Up to five earlier matches in this competition and period, newest first. Scores are shown from the team’s perspective. This match is excluded.
Understanding probabilities and sample sizes · Explore leagues