Sävedalen vs Halmia: result 1-2 and analysis
Division 2 - Västra GötalandRegular Season - 26Kick-off on October 16, 2016 at 12:00 PM (UTC)Vallhamra IP, Sävedalen
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What was the result of Sävedalen vs Halmia?
Halmia won 1-2 on October 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sävedalen have 6 wins, 4 draws and 5 defeats; Halmia 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 |
|---|---|---|---|
| Oct 8, 2016 | Tenhult(away) | 1-3 | Division 2 - Västra Götaland |
| Sep 30, 2016 | Lindome(away) | 3-2 | Division 2 - Västra Götaland |
| Sep 24, 2016 | Dalstorps(home) | 1-1 | Division 2 - Västra Götaland |
| Sep 17, 2016 | Vinberg(away) | 1-0 | Division 2 - Västra Götaland |
| Sep 10, 2016 | Högaborg(away) | 2-0 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Eskilsminne(home) | 2-3 | Division 2 - Västra Götaland |
| Oct 1, 2016 | Akademi HIF(away) | 2-0 | Division 2 - Västra Götaland |
| Sep 24, 2016 | Lindome(away) | 1-4 | Division 2 - Västra Götaland |
| Sep 17, 2016 | Tenhult(home) | 3-1 | Division 2 - Västra Götaland |
| Sep 10, 2016 | Vinberg(away) | 1-0 | Division 2 - Västra Götaland |
What does the head-to-head say?
In the last meeting: 0 Sävedalen wins, 0 draws, 1 Halmia win.
| Date | Score | Competition |
|---|---|---|
| Jun 11, 2016 | Halmia 2-1 Sävedalen | Division 2 - Västra Götaland |
How many goals should we expect?
Sävedalen score 1.6 and concede 1.7 goals per match over their last 15; Halmia score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sävedalen | 1.6 | 1.7 | 3 | 11/15 | 10/15 |
| Halmia | 1.9 | 1.5 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Sävedalen vs Halmia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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