Dalstorps vs Angelholms FF: result 1-5 and analysis
Division 2 - Västra GötalandVästra Götaland - 25Kick-off on September 18, 2021 at 01:00 PM (UTC)Dalshov Konstgräs, Dalstorps
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What was the result of Dalstorps vs Angelholms FF?
Angelholms FF won 1-5 on September 18, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dalstorps have 5 wins, 2 draws and 8 defeats; Angelholms FF have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2021 | Ullared(away) | 1-2 | Division 2 - Västra Götaland |
| Sep 8, 2021 | Vinberg(away) | 2-0 | Division 2 - Västra Götaland |
| Sep 4, 2021 | Astrio(home) | 2-0 | Division 2 - Västra Götaland |
| Aug 28, 2021 | Västra Frölunda(away) | 1-3 | Division 2 - Västra Götaland |
| Aug 25, 2021 | Onsala(away) | 0-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2021 | Höganäs(home) | 2-0 | Division 2 - Västra Götaland |
| Sep 8, 2021 | Eskilsminne(away) | 1-1 | Division 2 - Västra Götaland |
| Sep 4, 2021 | Husqvarna(away) | 4-1 | Division 2 - Västra Götaland |
| Aug 28, 2021 | Sävedalen(home) | 3-1 | Division 2 - Västra Götaland |
| Aug 25, 2021 | Tord(away) | 4-1 | Division 2 - Västra Götaland |
How many goals should we expect?
Dalstorps score 1.6 and concede 1.9 goals per match over their last 15; Angelholms FF score 2.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dalstorps | 1.6 | 1.9 | 3 | 8/15 | 10/15 |
| Angelholms FF | 2.7 | 1.1 | 4 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Dalstorps | 13 | 7 | 4 | 2 | 25 | 14 | 25 |
| 2 | Dalstorps | 18 | 9 | 6 | 3 | 35 | 21 | 33 |
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