Nosaby vs VMA: result 0-2 and analysis
Division 2 - Södra GötalandSödra Götaland - 6Kick-off on May 5, 2023 at 04:30 PM (UTC)Nya Vallbjörka, Kristianstad
Full time
What was the result of Nosaby vs VMA?
VMA won 0-2 on May 5, 2023.
Goalscorers
- 35′?VMA
- 40′?VMA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nosaby have 8 wins, 3 draws and 4 defeats; VMA have 0, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2023 | Räppe(away) | 2-1 | Division 2 - Södra Götaland |
| Apr 22, 2023 | Karlskrona(home) | 0-2 | Division 2 - Södra Götaland |
| Apr 15, 2023 | Simrishamn(away) | 0-3 | Division 2 - Södra Götaland |
| Apr 7, 2023 | Kristianstad(home) | 1-0 | Division 2 - Södra Götaland |
| Apr 1, 2023 | Hässleholms IF(away) | 1-1 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2023 | IFK Hässleholm(home) | 1-3 | Division 2 - Södra Götaland |
| Apr 23, 2023 | Rosengård(away) | 0-3 | Division 2 - Södra Götaland |
| Apr 15, 2023 | Berga(home) | 0-2 | Division 2 - Södra Götaland |
| Apr 7, 2023 | Räppe(home) | 2-5 | Division 2 - Södra Götaland |
| Apr 2, 2023 | Karlskrona(away) | 0-5 | Division 2 - Södra Götaland |
How many goals should we expect?
Nosaby score 1.2 and concede 1.2 goals per match over their last 15; VMA score 0.6 and concede 3.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nosaby | 1.2 | 1.2 | 4 | 8/15 | 8/15 |
| VMA | 0.6 | 3.6 | 0 | 2/5 | 4/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Nosaby | 25 | 12 | 6 | 7 | 47 | 40 | 42 |
A question about Nosaby vs VMA?
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