Nässjö vs Qviding FIF: result 1-3 and analysis
Division 2 - Västra GötalandVästra Götaland - 13Kick-off on June 22, 2023 at 05:30 PM (UTC)Skogsvallen, Nässjö
Full time
What was the result of Nässjö vs Qviding FIF?
Qviding FIF won 1-3 on June 22, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nässjö have 2 wins, 3 draws and 10 defeats; Qviding FIF have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2023 | Astrio(away) | 1-2 | Division 2 - Västra Götaland |
| Jun 9, 2023 | Tord(home) | 2-3 | Division 2 - Västra Götaland |
| Jun 3, 2023 | Tölö(away) | 1-0 | Division 2 - Västra Götaland |
| May 28, 2023 | Varbergs GIF(home) | 1-3 | Division 2 - Västra Götaland |
| May 20, 2023 | Hittarp(away) | 1-2 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2023 | Lindome(home) | 2-1 | Division 2 - Västra Götaland |
| Jun 11, 2023 | Västra Frölunda(away) | 1-4 | Division 2 - Västra Götaland |
| Jun 2, 2023 | Landvetter IS(away) | 0-1 | Division 2 - Västra Götaland |
| May 27, 2023 | Astrio(home) | 1-1 | Division 2 - Västra Götaland |
| May 20, 2023 | Tord(away) | 1-4 | Division 2 - Västra Götaland |
How many goals should we expect?
Nässjö score 1.0 and concede 1.9 goals per match over their last 15; Qviding FIF score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nässjö | 1.0 | 1.9 | 1 | 11/15 | 8/15 |
| Qviding FIF | 1.9 | 1.9 | 4 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Qviding FIF | 25 | 11 | 4 | 10 | 46 | 45 | 37 |
A question about Nässjö vs Qviding FIF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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