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Midtjylland 3 - 0 AaB

29.04.2018 - 10:00

Stadium: MCH Arena

Finished

Table

Group A

# Team MP W D L GF GA GD Pts PPG Last 5
1
AGF Team Logo

AGF

6 4 0 2 12 7 +5 12 2.00
L W D W W
2
Hobro Team Logo

Hobro

6 4 0 2 8 6 +2 12 2.00
W L W W L
3
FC Helsingør Team Logo

FC Helsingør

6 2 1 3 6 9 -3 7 1.17
L D W L L
4
Silkeborg Team Logo

Silkeborg

6 1 1 4 7 11 -4 4 0.67
L D W L L

Group B

# Team MP W D L GF GA GD Pts PPG Last 5
1
OB Team Logo

OB

6 3 2 1 11 6 +5 11 1.83
L L L W D
2
Randers Team Logo

Randers

6 3 1 2 9 6 +3 10 1.67
W W D L L
3
SønderjyskE Team Logo

SønderjyskE

6 3 1 2 6 6 0 10 1.67
L D L W W
4
Lyngby Team Logo

Lyngby

6 0 2 4 4 12 -8 2 0.33
L L D L D

At the moment, Midtjylland is in 1st in the Superliga. In 10 matches, Midtjylland has 8 wins, 1 draws, and 1 losses.

The club has picked up 25 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 2.5 points per match to date in the tournament.

  • Goals scored: 20
  • Goals conceded: 10
  • Goal difference: 10

Here are more stats from Midtjylland’s campaign at home in the Superliga below:

  • 5 matches
  • 4 wins
  • 0 draws
  • 1 defeats

If we only look at Midtjylland’s away matches, this is their current record:

  • 5 matches
  • 4 wins
  • 1 draws
  • 0 defeats

As for AaB’s campaign, they sit in 5th in the competition table and this is the current state of their Superliga campaign:

  • Matches: 10
  • Wins: 2
  • Draws: 3
  • Losses: 5
  • Goals scored: 10
  • Goals conceded: 17
  • Goal difference: -7

As a result, AaB has, in terms of the overall campaign, the 5th position on the leaderboard. When AaB plays as home team, the situation is as follows: 5 games, 2 wins, 2 draws and 1 losses.

Now, when playing away from home, AaB adds:

  • 5 matches
  • 0 wins
  • 1 draws
  • 4 defeats

The competition table helps provide an overview of the teams’ performance during the current campaign and helps identify patterns, trends, and statistics relevant to analysing Midtjylland vs AaB.

With this data, you can check each club’s goal production, their position in the table, their goal difference, and other factors that can be useful for predicting the outcome of the match.