Halmia vs Hittarp: result 2-1 and analysis
Division 2 - Västra GötalandRegular Season - 21Kick-off on September 16, 2018 at 02:00 PM (UTC)Örjans Vall, Halmstad
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What was the result of Halmia vs Hittarp?
Halmia won 2-1 on September 16, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Halmia have 11 wins, 0 draws and 4 defeats; Hittarp 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 |
|---|---|---|---|
| Sep 10, 2018 | Högaborg(away) | 7-0 | Division 2 - Västra Götaland |
| Aug 30, 2018 | Rosengård(home) | 1-2 | Division 2 - Västra Götaland |
| Aug 25, 2018 | Ullared(away) | 5-1 | Division 2 - Västra Götaland |
| Aug 18, 2018 | Varbergs GIF(home) | 2-0 | Division 2 - Västra Götaland |
| Aug 11, 2018 | IFK Malmö(away) | 0-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Sävedalen(home) | 2-1 | Division 2 - Västra Götaland |
| Aug 31, 2018 | Högaborg(away) | 4-1 | Division 2 - Västra Götaland |
| Aug 25, 2018 | Prespa Birlik(home) | 2-1 | Division 2 - Västra Götaland |
| Aug 18, 2018 | Rosengård(away) | 2-0 | Division 2 - Västra Götaland |
| Aug 11, 2018 | Vinberg(home) | 3-0 | Division 2 - Västra Götaland |
What does the head-to-head say?
Across the last 3 meetings: 2 Halmia win(s), 0 draw(s), 1 Hittarp win(s).
| Date | Score | Competition |
|---|---|---|
| May 25, 2018 | Hittarp 0-3 Halmia | Division 2 - Västra Götaland |
| Aug 3, 2017 | Hittarp 3-2 Halmia | Division 2 - Västra Götaland |
| Apr 22, 2017 | Halmia 3-1 Hittarp | Division 2 - Västra Götaland |
How many goals should we expect?
Halmia score 2.6 and concede 0.6 goals per match over their last 15; Hittarp score 2.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Halmia | 2.6 | 0.6 | 8 | 5/15 | 8/15 |
| Hittarp | 2.4 | 1.2 | 4 | 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