Dalstorps vs Sävedalen: result 0-1 and analysis
Division 2 - Västra GötalandRegular Season - 9Kick-off on May 28, 2016 at 01:00 PM (UTC)Dalshov Konstgräs, Dalstorps
Full time
What was the result of Dalstorps vs Sävedalen?
Sävedalen won 0-1 on May 28, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Dalstorps have 2 wins, 2 draws and 4 defeats; Sävedalen have 3, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2016 | Tenhult(away) | 0-0 | Division 2 - Västra Götaland |
| May 14, 2016 | Halmia(home) | 1-1 | Division 2 - Västra Götaland |
| May 8, 2016 | Vinberg(away) | 2-3 | Division 2 - Västra Götaland |
| May 4, 2016 | Lindome(home) | 0-5 | Division 2 - Västra Götaland |
| Apr 30, 2016 | Högaborg(home) | 2-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Högaborg(home) | 0-1 | Division 2 - Västra Götaland |
| May 14, 2016 | Laholm(away) | 0-4 | Division 2 - Västra Götaland |
| May 7, 2016 | Assyriska BK(home) | 0-2 | Division 2 - Västra Götaland |
| May 4, 2016 | Höganäs(away) | 2-1 | Division 2 - Västra Götaland |
| Apr 29, 2016 | Torslanda(home) | 1-1 | Division 2 - Västra Götaland |
How many goals should we expect?
Dalstorps score 0.9 and concede 1.9 goals per match over their last 8; Sävedalen score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dalstorps | 0.9 | 1.9 | 2 | 4/8 | 5/8 |
| Sävedalen | 1.0 | 1.5 | 0 | 5/8 | 4/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Dalstorps | 25 | 14 | 7 | 4 | 50 | 28 | 49 |
A question about Dalstorps vs Sävedalen?
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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