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Kungsängen Team Logo

Table: Kungsängen 1 - 0 Skiljebo

Sat, 04 May 2019 - 09:00

Stadium: Kungsängens IP 1 (Kungsängen)

Finished

Skiljebo Team Logo

Table

Group 1

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

Berga

2 2 0 0 5 2 +3 6 3.00
W W W W L
2
Olympic Team Logo

Olympic

2 0 1 1 3 4 -1 1 0.50
L D W D D
3
Grebbestad Team Logo

Grebbestad

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

Group 2

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

Motala

2 2 0 0 4 1 +3 6 3.00
W W W W W
2
Karlberg Team Logo

Karlberg

2 0 1 1 3 4 -1 1 0.50
L D W W W
3
Ytterhogdal Team Logo

Ytterhogdal

2 0 1 1 2 4 -2 1 0.50
L D W W W

At the moment, Kungsängen is in 9th in the Division 2. In 26 matches, Kungsängen has 8 wins, 5 draws, and 13 losses.

The club has picked up 29 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 1.12 points per match to date in the tournament.

  • Goals scored: 37
  • Goals conceded: 54
  • Goal difference: -17

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

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

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

  • 13 matches
  • 4 wins
  • 2 draws
  • 7 defeats

As for Skiljebo’s campaign, they sit in 10th in the competition table and this is the current state of their Division 2 campaign:

  • Matches: 26
  • Wins: 7
  • Draws: 6
  • Losses: 13
  • Goals scored: 33
  • Goals conceded: 39
  • Goal difference: -6

As a result, Skiljebo has, in terms of the overall campaign, the 10th position on the leaderboard. When Skiljebo plays as home team, the situation is as follows: 13 games, 4 wins, 4 draws and 5 losses.

Now, when playing away from home, Skiljebo 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 Kungsängen vs Skiljebo.

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.