Olympic vs Kvarnby: result 2-0 and analysis
Division 2 - Västra GötalandRegular Season - 5Kick-off on May 5, 2018 at 12:00 PM (UTC)Lindängens IP, Malmö
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What was the result of Olympic vs Kvarnby?
Olympic won 2-0 on May 5, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olympic have 1 wins, 5 draws and 9 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 |
|---|---|---|---|
| Apr 28, 2018 | Sävedalen(away) | 0-2 | Division 2 - Västra Götaland |
| Apr 21, 2018 | Prespa Birlik(home) | 1-0 | Division 2 - Västra Götaland |
| Apr 14, 2018 | Vinberg(away) | 0-0 | Division 2 - Västra Götaland |
| Apr 7, 2018 | Hittarp(home) | 1-6 | Division 2 - Västra Götaland |
| Oct 15, 2016 | Berga(home) | 1-2 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2018 | Assyriska BK(home) | 1-3 | Division 2 - Västra Götaland |
| Apr 21, 2018 | Lindome(away) | 0-0 | Division 2 - Västra Götaland |
| Apr 14, 2018 | Halmia(home) | 2-0 | Division 2 - Västra Götaland |
| Apr 8, 2018 | Högaborg(away) | 0-2 | Division 2 - Västra Götaland |
| Oct 14, 2017 | IFK Hässleholm(away) | 3-2 | Division 2 - Södra Götaland |
What does the head-to-head say?
Across the last 2 meetings: 0 Olympic win(s), 0 draw(s), 2 Kvarnby win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 30, 2016 | Kvarnby 3-1 Olympic | Division 2 - Södra Götaland |
| Apr 9, 2016 | Olympic 1-2 Kvarnby | Division 2 - Södra Götaland |
How many goals should we expect?
Olympic score 0.9 and concede 1.8 goals per match over their last 15; Kvarnby score 1.1 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olympic | 0.9 | 1.8 | 2 | 9/15 | 8/15 |
| Kvarnby | 1.1 | 2.2 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
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