VMA vs IFK Hässleholm: result 1-3 and analysis
Division 2 - Södra GötalandSödra Götaland - 5Kick-off on April 28, 2023 at 04:30 PM (UTC)Ädlavallen
Full time
What was the result of VMA vs IFK Hässleholm?
IFK Hässleholm won 1-3 on April 28, 2023.
Goalscorers
- 28′?VMA
- 38′?IFK Hässleholm
What is the recent form of both teams?
Over their last 4 matches in all competitions, VMA have 0 wins, 0 draws and 4 defeats; IFK Hässleholm have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2023 | Räppe(home) | 2-1 | Division 2 - Södra Götaland |
| Apr 14, 2023 | Karlskrona(away) | 1-1 | Division 2 - Södra Götaland |
| Apr 7, 2023 | Simrishamn(home) | 3-1 | Division 2 - Södra Götaland |
| Mar 31, 2023 | Kristianstad(away) | 0-2 | Division 2 - Södra Götaland |
| Mar 25, 2023 | Eslov(home) | 3-1 | Friendlies Clubs |
How many goals should we expect?
VMA score 0.5 and concede 3.8 goals per match over their last 4; IFK Hässleholm score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VMA | 0.5 | 3.8 | 0 | 1/4 | 3/4 |
| IFK Hässleholm | 1.3 | 1.6 | 1 | 9/15 | 9/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | IFK Hässleholm | 26 | 6 | 4 | 16 | 36 | 58 | 22 |
A question about VMA vs IFK Hässleholm?
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