Qviding FIF vs Sävedalen: result 4-0 and analysis
Division 2 - Västra GötalandVästra Götaland - 1Kick-off on April 1, 2023 at 02:00 PM (UTC)Valhalla IP, Göteborg
Full time
What was the result of Qviding FIF vs Sävedalen?
Qviding FIF won 4-0 on April 1, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Qviding FIF have 4 wins, 1 draw and 10 defeats; Sävedalen have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2023 | Trollhättan(away) | 0-6 | Friendlies Clubs |
| Feb 18, 2023 | Tvååker(away) | 0-1 | Friendlies Clubs |
| Feb 11, 2023 | Onsala(home) | 1-3 | Friendlies Clubs |
| Nov 5, 2022 | Olympic(away) | 3-4 | Ettan - Södra |
| Oct 29, 2022 | Lindome(home) | 2-2 | Ettan - Södra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2022 | Västra Frölunda(home) | 2-0 | Division 2 - Västra Götaland |
| Oct 8, 2022 | Ullared(away) | 4-0 | Division 2 - Västra Götaland |
| Oct 1, 2022 | Tölö(home) | 6-2 | Division 2 - Västra Götaland |
| Sep 24, 2022 | Astrio(home) | 2-5 | Division 2 - Västra Götaland |
| Sep 16, 2022 | Assyriska BK(away) | 2-0 | Division 2 - Västra Götaland |
How many goals should we expect?
Qviding FIF score 1.2 and concede 2.2 goals per match over their last 15; Sävedalen score 2.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Qviding FIF | 1.2 | 2.2 | 2 | 7/15 | 9/15 |
| Sävedalen | 2.6 | 1.6 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Qviding FIF | 25 | 11 | 4 | 10 | 46 | 45 | 37 |
A question about Qviding FIF 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