29.06.2020 - 17:00
Stadium : Nature Energy Park (Odense)
Finished
Group 1
Group 2
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Midtjylland | 26 | 21 | 2 | 3 | 42 | 14 | +28 | 65 | 2.50 | |
2 | Copenhagen | 26 | 18 | 2 | 6 | 47 | 29 | +18 | 56 | 2.15 | |
3 | AGF | 26 | 14 | 5 | 7 | 42 | 28 | +14 | 47 | 1.81 | |
4 | Brøndby | 26 | 13 | 3 | 10 | 47 | 37 | +10 | 42 | 1.62 | |
5 | Nordsjælland | 26 | 12 | 5 | 9 | 48 | 35 | +13 | 41 | 1.58 | |
6 | AaB | 26 | 11 | 5 | 10 | 44 | 33 | +11 | 38 | 1.46 | |
7 | Randers | 26 | 10 | 5 | 11 | 39 | 35 | +4 | 35 | 1.35 | |
8 | Horsens | 26 | 10 | 4 | 12 | 25 | 44 | -19 | 34 | 1.31 | |
9 | OB | 26 | 9 | 6 | 11 | 34 | 30 | +4 | 33 | 1.27 | |
10 | Lyngby | 26 | 9 | 5 | 12 | 31 | 45 | -14 | 32 | 1.23 | |
11 | SønderjyskE | 26 | 6 | 9 | 11 | 31 | 44 | -13 | 27 | 1.04 | |
12 | Hobro | 26 | 3 | 14 | 9 | 25 | 35 | -10 | 23 | 0.88 | |
13 | Esbjerg | 26 | 4 | 6 | 16 | 22 | 44 | -22 | 18 | 0.69 | |
14 | Silkeborg | 26 | 3 | 7 | 16 | 31 | 55 | -24 | 16 | 0.62 |
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Midtjylland | 13 | 9 | 1 | 3 | 20 | 10 | +10 | 28 | 2.15 | |
2 | Copenhagen | 13 | 11 | 1 | 1 | 28 | 12 | +16 | 34 | 2.62 | |
3 | AGF | 13 | 7 | 3 | 3 | 22 | 13 | +9 | 24 | 1.85 | |
4 | Brøndby | 13 | 9 | 1 | 3 | 27 | 17 | +10 | 28 | 2.15 | |
5 | Nordsjælland | 13 | 7 | 3 | 3 | 24 | 11 | +13 | 24 | 1.85 | |
6 | AaB | 13 | 7 | 2 | 4 | 24 | 15 | +9 | 23 | 1.77 | |
7 | Randers | 13 | 7 | 3 | 3 | 22 | 12 | +10 | 24 | 1.85 | |
8 | Horsens | 13 | 6 | 1 | 6 | 15 | 23 | -8 | 19 | 1.46 | |
9 | OB | 13 | 6 | 3 | 4 | 21 | 14 | +7 | 21 | 1.62 | |
10 | Lyngby | 13 | 8 | 1 | 4 | 19 | 20 | -1 | 25 | 1.92 | |
11 | SønderjyskE | 13 | 4 | 5 | 4 | 17 | 20 | -3 | 17 | 1.31 | |
12 | Hobro | 13 | 1 | 9 | 3 | 12 | 17 | -5 | 12 | 0.92 | |
13 | Esbjerg | 13 | 3 | 4 | 6 | 14 | 18 | -4 | 13 | 1.00 | |
14 | Silkeborg | 13 | 2 | 2 | 9 | 14 | 27 | -13 | 8 | 0.62 |
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Midtjylland | 13 | 12 | 1 | 0 | 22 | 4 | +18 | 37 | 2.85 | |
2 | Copenhagen | 13 | 7 | 1 | 5 | 19 | 17 | +2 | 22 | 1.69 | |
3 | AGF | 13 | 7 | 2 | 4 | 20 | 15 | +5 | 23 | 1.77 | |
4 | Brøndby | 13 | 4 | 2 | 7 | 20 | 20 | 0 | 14 | 1.08 | |
5 | Nordsjælland | 13 | 5 | 2 | 6 | 24 | 24 | 0 | 17 | 1.31 | |
6 | AaB | 13 | 4 | 3 | 6 | 20 | 18 | +2 | 15 | 1.15 | |
7 | Randers | 13 | 3 | 2 | 8 | 17 | 23 | -6 | 11 | 0.85 | |
8 | Horsens | 13 | 4 | 3 | 6 | 10 | 21 | -11 | 15 | 1.15 | |
9 | OB | 13 | 3 | 3 | 7 | 13 | 16 | -3 | 12 | 0.92 | |
10 | Lyngby | 13 | 1 | 4 | 8 | 12 | 25 | -13 | 7 | 0.54 | |
11 | SønderjyskE | 13 | 2 | 4 | 7 | 14 | 24 | -10 | 10 | 0.77 | |
12 | Hobro | 13 | 2 | 5 | 6 | 13 | 18 | -5 | 11 | 0.85 | |
13 | Esbjerg | 13 | 1 | 2 | 10 | 8 | 26 | -18 | 5 | 0.38 | |
14 | Silkeborg | 13 | 1 | 5 | 7 | 17 | 28 | -11 | 8 | 0.62 |
At the moment, OB is in 3rd in the Superliga. In 6 matches, OB has 3 wins, 1 draws, and 2 losses.
The club has picked up 10 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 1.67 points per match to date in the tournament.
Here are more stats from OB’s campaign at home in the Superliga below:
If we only look at OB’s away matches, this is their current record:
As for Lyngby’s campaign, they sit in 4th in the competition table and this is the current state of their Superliga campaign:
As a result, Lyngby has, in terms of the overall campaign, the 4th position on the leaderboard. When Lyngby plays as home team, the situation is as follows: 3 games, 0 wins, 2 draws and 1 losses.
Now, when playing away from home, Lyngby adds:
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 OB vs Lyngby.
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.
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