Assyriska BK vs Hittarp: result 2-4 and analysis
Division 2 - Västra GötalandRegular Season - 25Kick-off on October 13, 2018 at 11:00 AM (UTC)Ruddalens IP 1, Västra Frölunda
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What was the result of Assyriska BK vs Hittarp?
Hittarp won 2-4 on October 13, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assyriska BK have 7 wins, 2 draws and 6 defeats; Hittarp have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Olympic(home) | 4-2 | Division 2 - Västra Götaland |
| Sep 29, 2018 | Högaborg(away) | 2-1 | Division 2 - Västra Götaland |
| Sep 22, 2018 | Halmia(home) | 1-4 | Division 2 - Västra Götaland |
| Sep 14, 2018 | Rosengård(home) | 1-0 | Division 2 - Västra Götaland |
| Sep 10, 2018 | Ullared(away) | 2-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Varbergs GIF(home) | 6-0 | Division 2 - Västra Götaland |
| Sep 29, 2018 | Kvarnby(home) | 0-0 | Division 2 - Västra Götaland |
| Sep 22, 2018 | Lindome(away) | 1-2 | Division 2 - Västra Götaland |
| Sep 16, 2018 | Halmia(away) | 1-2 | Division 2 - Västra Götaland |
| Sep 8, 2018 | Sävedalen(home) | 2-1 | Division 2 - Västra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 0 Assyriska BK win(s), 0 draw(s), 1 Hittarp win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 21, 2018 | Hittarp 5-1 Assyriska BK | Division 2 - Västra Götaland |
Last archived meeting: Hittarp vs Assyriska BK on Jun 21, 2018
How many goals should we expect?
Assyriska BK score 1.5 and concede 2.3 goals per match over their last 15; Hittarp score 2.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assyriska BK | 1.5 | 2.3 | 1 | 13/15 | 13/15 |
| Hittarp | 2.7 | 0.9 | 6 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy