Favourite this Match
Stafsinge Team Logo

Table: Stafsinge 2 - 1 Eslov

Sat, 07 September 2019 - 08:00

Stadium: Stafsinge IP (Falkenberg)

Finished

Eslov 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, Stafsinge is in 14th in the Division 2. In 26 matches, Stafsinge has 5 wins, 5 draws, and 16 losses.

The club has picked up 20 points (adding up all matches, including knockout matches). So based on points per match, they have picked up 0.77 points per match to date in the tournament.

  • Goals scored: 34
  • Goals conceded: 61
  • Goal difference: -27

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

  • 13 matches
  • 2 wins
  • 3 draws
  • 8 defeats

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

  • 13 matches
  • 3 wins
  • 2 draws
  • 8 defeats

As for Eslov’s campaign, they sit in 11th in the competition table and this is the current state of their Division 2 campaign:

  • Matches: 26
  • Wins: 8
  • Draws: 4
  • Losses: 14
  • Goals scored: 32
  • Goals conceded: 63
  • Goal difference: -31

As a result, Eslov has, in terms of the overall campaign, the 11th position on the leaderboard. When Eslov plays as home team, the situation is as follows: 13 games, 4 wins, 3 draws and 6 losses.

Now, when playing away from home, Eslov adds:

  • 13 matches
  • 4 wins
  • 1 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 Stafsinge vs Eslov.

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.