Varbergs GIF vs Eskilsminne: result 2-0 and analysis
Division 2 - Västra GötalandMatchday 13Kick-off on June 21, 2017 at 05:00 PM (UTC)Påskbergsvallen, Varberg
Full time
What was the result of Varbergs GIF vs Eskilsminne?
Varbergs GIF won 2-0 on June 21, 2017.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Varbergs GIF have 3 wins, 3 draws and 6 defeats; Eskilsminne have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2017 | Höganäs(away) | 2-0 | Division 2 - Västra Götaland |
| Jun 11, 2017 | Dalstorps(home) | 1-3 | Division 2 - Västra Götaland |
| Jun 6, 2017 | Tenhult(away) | 0-1 | Division 2 - Västra Götaland |
| May 28, 2017 | Ullared(home) | 5-2 | Division 2 - Västra Götaland |
| May 23, 2017 | Sävedalen(away) | 0-0 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2017 | Hittarp(home) | 2-1 | Division 2 - Västra Götaland |
| Jun 8, 2017 | Tvååker(away) | 0-1 | Division 2 - Västra Götaland |
| Jun 2, 2017 | Halmia(home) | 3-2 | Division 2 - Västra Götaland |
| May 28, 2017 | Assyriska Turabdin(away) | 2-0 | Division 2 - Västra Götaland |
| May 25, 2017 | Vinberg(home) | 2-2 | Division 2 - Västra Götaland |
How many goals should we expect?
Varbergs GIF score 1.1 and concede 1.5 goals per match over their last 12; Eskilsminne score 2.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Varbergs GIF | 1.1 | 1.5 | 3 | 5/12 | 4/12 |
| Eskilsminne | 2.3 | 1.3 | 4 | 8/15 | 10/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Varbergs GIF | 26 | 7 | 1 | 18 | 29 | 58 | 22 |
A question about Varbergs GIF vs Eskilsminne?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy