Sävedalen vs Kvarnby: result 9-0 and analysis
Division 2 - Västra GötalandRegular Season - 21Kick-off on September 15, 2018 at 11:30 AM (UTC)Vallhamra IP, Sävedalen
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What was the result of Sävedalen vs Kvarnby?
Sävedalen won 9-0 on September 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sävedalen have 7 wins, 3 draws and 5 defeats; Kvarnby have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Hittarp(away) | 1-2 | Division 2 - Västra Götaland |
| Sep 1, 2018 | Prespa Birlik(away) | 3-2 | Division 2 - Västra Götaland |
| Aug 26, 2018 | Vinberg(home) | 1-0 | Division 2 - Västra Götaland |
| Aug 19, 2018 | Olympic(away) | 5-2 | Division 2 - Västra Götaland |
| Aug 11, 2018 | Assyriska BK(home) | 5-0 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Prespa Birlik(home) | 0-1 | Division 2 - Västra Götaland |
| Sep 1, 2018 | Vinberg(away) | 1-2 | Division 2 - Västra Götaland |
| Aug 25, 2018 | Olympic(home) | 3-3 | Division 2 - Västra Götaland |
| Aug 18, 2018 | Assyriska BK(away) | 1-2 | Division 2 - Västra Götaland |
| Aug 11, 2018 | Lindome(home) | 0-1 | Division 2 - Västra Götaland |
What does the head-to-head say?
In the last meeting: 0 Sävedalen wins, 1 draw, 0 Kvarnby wins.
| Date | Score | Competition |
|---|---|---|
| May 27, 2018 | Kvarnby 0-0 Sävedalen | Division 2 - Västra Götaland |
How many goals should we expect?
Sävedalen score 1.6 and concede 1.5 goals per match over their last 15; Kvarnby score 0.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sävedalen | 1.6 | 1.5 | 5 | 7/15 | 8/15 |
| Kvarnby | 0.9 | 2.0 | 3 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Sävedalen vs Kvarnby?
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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