Group A
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
![]() West Ham |
6 | 5 | 0 | 1 | 10 | 4 | +6 | 15 | 2.50 |
|
2 |
![]() Freiburg |
6 | 4 | 0 | 2 | 17 | 7 | +10 | 12 | 2.00 |
|
3 |
![]() Olympiakos Piraeus |
6 | 2 | 1 | 3 | 11 | 14 | -3 | 7 | 1.17 |
|
4 |
![]() Backa Topola |
6 | 0 | 1 | 5 | 6 | 19 | -13 | 1 | 0.17 |
|
Group B
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
![]() Brighton |
6 | 4 | 1 | 1 | 10 | 5 | +5 | 13 | 2.17 |
|
2 |
![]() Olympique Marseille |
6 | 3 | 2 | 1 | 14 | 10 | +4 | 11 | 1.83 |
|
3 |
![]() Ajax |
6 | 1 | 2 | 3 | 10 | 13 | -3 | 5 | 0.83 |
|
4 |
![]() AEK Athens |
6 | 1 | 1 | 4 | 6 | 12 | -6 | 4 | 0.67 |
|
Group C
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
![]() Rangers |
6 | 3 | 2 | 1 | 8 | 6 | +2 | 11 | 1.83 |
|
2 |
![]() Sparta Prague |
6 | 3 | 1 | 2 | 9 | 7 | +2 | 10 | 1.67 |
|
3 |
![]() Betis |
6 | 3 | 0 | 3 | 9 | 7 | +2 | 9 | 1.50 |
|
4 |
![]() Aris Limassol |
6 | 1 | 1 | 4 | 7 | 13 | -6 | 4 | 0.67 |
|
Group D
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
![]() Atalanta |
6 | 4 | 2 | 0 | 12 | 4 | +8 | 14 | 2.33 |
|
2 |
![]() Sporting |
6 | 3 | 2 | 1 | 10 | 6 | +4 | 11 | 1.83 |
|
3 |
![]() Sturm Graz |
6 | 1 | 1 | 4 | 4 | 9 | -5 | 4 | 0.67 |
|
4 |
![]() Rakow Czestochowa |
6 | 1 | 1 | 4 | 3 | 10 | -7 | 4 | 0.67 |
|
Group E
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
![]() Liverpool |
6 | 4 | 0 | 2 | 17 | 7 | +10 | 12 | 2.00 |
|
2 |
![]() Toulouse |
6 | 3 | 2 | 1 | 8 | 9 | -1 | 11 | 1.83 |
|
3 |
![]() Union Saint-Gilloise |
6 | 2 | 2 | 2 | 5 | 8 | -3 | 8 | 1.33 |
|
4 |
![]() LASK Linz |
6 | 1 | 0 | 5 | 6 | 12 | -6 | 3 | 0.50 |
|
Group F
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
![]() Villarreal |
6 | 4 | 1 | 1 | 9 | 7 | +2 | 13 | 2.17 |
|
2 |
![]() Rennes |
6 | 4 | 0 | 2 | 13 | 6 | +7 | 12 | 2.00 |
|
3 |
![]() Maccabi Haifa |
6 | 1 | 2 | 3 | 3 | 9 | -6 | 5 | 0.83 |
|
4 |
![]() Panathinaikos |
6 | 1 | 1 | 4 | 7 | 10 | -3 | 4 | 0.67 |
|
Group G
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
![]() Slavia Praha |
6 | 5 | 0 | 1 | 17 | 4 | +13 | 15 | 2.50 |
|
2 |
![]() Roma |
6 | 4 | 1 | 1 | 12 | 4 | +8 | 13 | 2.17 |
|
3 |
![]() Servette |
6 | 1 | 2 | 3 | 4 | 13 | -9 | 5 | 0.83 |
|
4 |
![]() Sheriff |
6 | 0 | 1 | 5 | 5 | 17 | -12 | 1 | 0.17 |
|
Group H
# | Team | MP | W | D | L | GF | GA | GD | Pts | PPG | Last 5 |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
![]() Bayer Leverkusen |
6 | 6 | 0 | 0 | 19 | 3 | +16 | 18 | 3.00 |
|
2 |
![]() Qarabag |
6 | 3 | 1 | 2 | 7 | 9 | -2 | 10 | 1.67 |
|
3 |
![]() Molde |
6 | 2 | 1 | 3 | 12 | 12 | 0 | 7 | 1.17 |
|
4 |
![]() Hacken |
6 | 0 | 0 | 6 | 3 | 17 | -14 | 0 | 0 |
|
At the moment, Molde is in 3rd in the UEFA Europa League. In 6 matches, Molde has 2 wins, 1 draws, and 3 losses.
The club has picked up 7 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 1.17 points per match to date in the tournament.
Here are more stats from Molde’s campaign at home in the UEFA Europa League below:
If we only look at Molde’s away matches, this is their current record:
As for Hacken’s campaign, they sit in 4th in the competition table and this is the current state of their UEL campaign:
As a result, Hacken has, in terms of the overall campaign, the 4th position on the leaderboard. When Hacken plays as home team, the situation is as follows: 3 games, 0 wins, 0 draws and 3 losses.
Now, when playing away from home, Hacken 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 Molde vs Hacken.
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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