Nässjö vs Varbergs GIF: result 1-3 and analysis
Division 2 - Västra GötalandVästra Götaland - 9Kick-off on May 28, 2023 at 02:00 PM (UTC)Skogsvallen, Nässjö
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What was the result of Nässjö vs Varbergs GIF?
Varbergs GIF won 1-3 on May 28, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nässjö have 1 win, 4 draws and 10 defeats; Varbergs GIF have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2023 | Hittarp(away) | 1-2 | Division 2 - Västra Götaland |
| May 14, 2023 | Onsala(home) | 1-3 | Division 2 - Västra Götaland |
| May 7, 2023 | Laholm(away) | 0-1 | Division 2 - Västra Götaland |
| Apr 28, 2023 | Husqvarna(home) | 2-1 | Division 2 - Västra Götaland |
| Apr 23, 2023 | Sävedalen(away) | 0-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2023 | Lindome(home) | 1-0 | Division 2 - Västra Götaland |
| May 14, 2023 | Västra Frölunda(away) | 4-1 | Division 2 - Västra Götaland |
| May 7, 2023 | Qviding FIF(home) | 0-2 | Division 2 - Västra Götaland |
| Apr 28, 2023 | Astrio(away) | 2-3 | Division 2 - Västra Götaland |
| Apr 22, 2023 | Tord(home) | 0-1 | Division 2 - Västra Götaland |
How many goals should we expect?
Nässjö score 1.1 and concede 2.0 goals per match over their last 15; Varbergs GIF score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nässjö | 1.1 | 2.0 | 0 | 12/15 | 8/15 |
| Varbergs GIF | 1.5 | 2.1 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Varbergs GIF | 26 | 7 | 1 | 18 | 29 | 58 | 22 |
A question about Nässjö vs Varbergs GIF?
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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