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Vårgårda Team Logo

Table: Vårgårda 3 - 1 Hisingsbacka

Fri, 17 August 2018 - 13:00

Stadium: Tånga Hed

Finished

Hisingsbacka Team Logo

Table

Group 1

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

Haninge

2 1 0 1 4 2 +2 3 1.50
W L W L W
2
Karlberg Team Logo

Karlberg

2 1 0 1 3 3 0 3 1.50
W L W L W
3
Hudiksvall Team Logo

Hudiksvall

2 1 0 1 2 4 -2 3 1.50
L W W L L

Group 2

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

Trollhättan

2 1 1 0 4 1 +3 4 2.00
D W L W W
2
Halmia Team Logo

Halmia

2 1 0 1 4 4 0 3 1.50
W L W W W
3
Berga Team Logo

Berga

2 0 1 1 2 5 -3 1 0.50
D L W W W

At the moment, Vårgårda is in 10th in the Division 2. In 26 matches, Vårgårda has 7 wins, 6 draws, and 13 losses.

The club has picked up 27 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 1.04 points per match to date in the tournament.

  • Goals scored: 44
  • Goals conceded: 54
  • Goal difference: -10

Here are more stats from Vårgårda’s campaign at home in the Division 2 below:

  • 13 matches
  • 4 wins
  • 3 draws
  • 6 defeats

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

  • 13 matches
  • 3 wins
  • 3 draws
  • 7 defeats

As for Hisingsbacka’s campaign, they sit in 13th in the competition table and this is the current state of their Division 2 campaign:

  • Matches: 26
  • Wins: 6
  • Draws: 5
  • Losses: 15
  • Goals scored: 38
  • Goals conceded: 67
  • Goal difference: -29

As a result, Hisingsbacka has, in terms of the overall campaign, the 13th position on the leaderboard. When Hisingsbacka plays as home team, the situation is as follows: 13 games, 3 wins, 3 draws and 7 losses.

Now, when playing away from home, Hisingsbacka adds:

  • 13 matches
  • 3 wins
  • 2 draws
  • 8 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 Vårgårda vs Hisingsbacka.

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.