Assyriska Turabdin vs Österlen: result 3-0 and analysis
Division 2 - Södra GötalandRegular Season - 1Kick-off on April 7, 2018 at 02:00 PM (UTC)Rosenlunds IP, Jönköping
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What was the result of Assyriska Turabdin vs Österlen?
Assyriska Turabdin won 3-0 on April 7, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assyriska Turabdin have 7 wins, 3 draws and 5 defeats; Österlen have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Vinberg(away) | 1-4 | Division 2 - Västra Götaland |
| Oct 7, 2017 | Lindome(home) | 2-1 | Division 2 - Västra Götaland |
| Sep 30, 2017 | Halmia(home) | 2-3 | Division 2 - Västra Götaland |
| Sep 23, 2017 | Eskilsminne(away) | 3-4 | Division 2 - Västra Götaland |
| Sep 16, 2017 | Torslanda(home) | 3-1 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Hässleholms IF(home) | 0-2 | Division 2 - Södra Götaland |
| Oct 7, 2017 | Kvarnby(away) | 2-1 | Division 2 - Södra Götaland |
| Oct 1, 2017 | Lindsdal(home) | 3-0 | Division 2 - Södra Götaland |
| Sep 24, 2017 | Torns(home) | 0-4 | Division 2 - Södra Götaland |
| Sep 16, 2017 | IFK Hässleholm(away) | 0-3 | Division 2 - Södra Götaland |
How many goals should we expect?
Assyriska Turabdin score 1.9 and concede 1.8 goals per match over their last 15; Österlen score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assyriska Turabdin | 1.9 | 1.8 | 1 | 14/15 | 12/15 |
| Österlen | 1.5 | 2.0 | 2 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Österlen | 25 | 9 | 6 | 10 | 42 | 41 | 33 |
A question about Assyriska Turabdin vs Österlen?
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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