Qviding FIF vs Olympic: result 2-3 and analysis
Division 2 - Västra GötalandRegular Season - 13Kick-off on June 23, 2019 at 10:00 AM (UTC)Valhalla IP, Göteborg
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What was the result of Qviding FIF vs Olympic?
Olympic won 2-3 on June 23, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Qviding FIF have 9 wins, 1 draw and 5 defeats; Olympic have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2019 | Halmia(home) | 5-0 | Division 2 - Västra Götaland |
| Jun 8, 2019 | Eslov(away) | 7-0 | Division 2 - Västra Götaland |
| Jun 5, 2019 | Velebit(away) | 2-0 | Svenska Cupen |
| Jun 2, 2019 | Stafsinge(home) | 4-3 | Division 2 - Västra Götaland |
| May 29, 2019 | Hittarp(away) | 4-4 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2019 | Assyriska BK(home) | 2-0 | Division 2 - Västra Götaland |
| Jun 8, 2019 | Halmia(away) | 0-4 | Division 2 - Västra Götaland |
| Jun 2, 2019 | Onsala(home) | 3-2 | Division 2 - Västra Götaland |
| May 29, 2019 | Eslov(away) | 3-1 | Division 2 - Västra Götaland |
| May 25, 2019 | Prespa Birlik(home) | 4-2 | Division 2 - Västra Götaland |
How many goals should we expect?
Qviding FIF score 3.1 and concede 1.8 goals per match over their last 15; Olympic score 2.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Qviding FIF | 3.1 | 1.8 | 5 | 9/15 | 12/15 |
| Olympic | 2.1 | 2.1 | 2 | 12/15 | 12/15 |
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 Olympic?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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