Torslanda vs Assyriska Turabdin: result 3-2 and analysis
Division 2 - Västra GötalandRegular Season - 10Kick-off on June 2, 2017 at 05:00 PM (UTC)Torslandavallen, Torslanda
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What was the result of Torslanda vs Assyriska Turabdin?
Torslanda won 3-2 on June 2, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Torslanda have 7 wins, 0 draws and 8 defeats; Assyriska Turabdin have 2, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Vinberg(away) | 0-1 | Division 2 - Västra Götaland |
| May 23, 2017 | Lindome(away) | 1-3 | Division 2 - Västra Götaland |
| May 20, 2017 | Eskilsminne(home) | 4-2 | Division 2 - Västra Götaland |
| May 13, 2017 | Höganäs(away) | 1-2 | Division 2 - Västra Götaland |
| May 6, 2017 | Dalstorps(home) | 1-2 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Eskilsminne(home) | 0-2 | Division 2 - Västra Götaland |
| May 25, 2017 | Höganäs(away) | 3-1 | Division 2 - Västra Götaland |
| May 20, 2017 | Dalstorps(home) | 1-1 | Division 2 - Västra Götaland |
| May 12, 2017 | Tenhult(away) | 3-1 | Division 2 - Västra Götaland |
| May 6, 2017 | Ullared(home) | 0-1 | Division 2 - Västra Götaland |
How many goals should we expect?
Torslanda score 1.9 and concede 1.7 goals per match over their last 15; Assyriska Turabdin score 1.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Torslanda | 1.9 | 1.7 | 2 | 12/15 | 13/15 |
| Assyriska Turabdin | 1.0 | 2.1 | 0 | 4/9 | 6/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Torslanda | 18 | 5 | 7 | 6 | 28 | 27 | 22 |
| 10 | Torslanda | 13 | 3 | 6 | 4 | 17 | 19 | 15 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy