Laholm vs Assyriska BK: result 2-2 and analysis
Division 2 - Västra GötalandRegular Season - 13Kick-off on June 23, 2016 at 05:00 PM (UTC)Glänninge IP, Laholm
Full time
What was the result of Laholm vs Assyriska BK?
Laholm and Assyriska BK drew 2-2 on June 23, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Laholm have 1 win, 3 draws and 8 defeats; Assyriska BK have 6, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Höganäs(away) | 1-3 | Division 2 - Västra Götaland |
| Jun 10, 2016 | Torslanda(home) | 1-1 | Division 2 - Västra Götaland |
| Jun 3, 2016 | Ullared(away) | 1-1 | Division 2 - Västra Götaland |
| May 28, 2016 | Akademi HIF(home) | 1-2 | Division 2 - Västra Götaland |
| May 21, 2016 | Eskilsminne(away) | 0-2 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2016 | Lindome(away) | 3-0 | Division 2 - Västra Götaland |
| Jun 11, 2016 | Höganäs(home) | 3-2 | Division 2 - Västra Götaland |
| Jun 3, 2016 | Torslanda(away) | 6-0 | Division 2 - Västra Götaland |
| May 28, 2016 | Ullared(home) | 1-4 | Division 2 - Västra Götaland |
| May 21, 2016 | Akademi HIF(away) | 0-3 | Division 2 - Västra Götaland |
How many goals should we expect?
Laholm score 0.8 and concede 1.8 goals per match over their last 12; Assyriska BK score 1.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Laholm | 0.8 | 1.8 | 2 | 5/12 | 6/12 |
| Assyriska BK | 1.9 | 1.8 | 4 | 7/12 | 10/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Laholm | 26 | 19 | 3 | 4 | 69 | 33 | 60 |
A question about Laholm vs Assyriska BK?
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