Akademi HIF vs Torslanda: result 1-1 and analysis
Division 2 - Västra GötalandRegular Season - 6Kick-off on May 9, 2016 at 05:00 PM (UTC)Olympiafältet, Helsingborg
Full time
What was the result of Akademi HIF vs Torslanda?
Akademi HIF and Torslanda drew 1-1 on May 9, 2016.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Akademi HIF have 2 wins, 2 draws and 1 defeat; Torslanda have 2, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2016 | Ullared(away) | 0-0 | Division 2 - Västra Götaland |
| Apr 30, 2016 | Lindome(away) | 3-1 | Division 2 - Västra Götaland |
| Apr 22, 2016 | Eskilsminne(home) | 5-2 | Division 2 - Västra Götaland |
| Apr 16, 2016 | Sävedalen(away) | 1-2 | Division 2 - Västra Götaland |
| Apr 9, 2016 | Tenhult(home) | 1-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2016 | Eskilsminne(home) | 0-0 | Division 2 - Västra Götaland |
| Apr 29, 2016 | Sävedalen(away) | 1-1 | Division 2 - Västra Götaland |
| Apr 23, 2016 | Tenhult(home) | 3-1 | Division 2 - Västra Götaland |
| Apr 16, 2016 | Halmia(away) | 4-1 | Division 2 - Västra Götaland |
| Apr 10, 2016 | Vinberg(home) | 1-5 | Division 2 - Västra Götaland |
How many goals should we expect?
Akademi HIF score 2.0 and concede 1.2 goals per match over their last 5; Torslanda score 1.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Akademi HIF | 2.0 | 1.2 | 1 | 4/5 | 3/5 |
| Torslanda | 1.8 | 1.6 | 1 | 4/5 | 3/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Torslanda | 26 | 9 | 7 | 10 | 43 | 44 | 34 |
A question about Akademi HIF vs Torslanda?
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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