Assyriska Turabdin vs Sölvesborg: result 4-0 and analysis
Division 2 - Södra GötalandRegular Season - 6Kick-off on May 12, 2018 at 01:00 PM (UTC)Rosenlunds IP, Jönköping
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What was the result of Assyriska Turabdin vs Sölvesborg?
Assyriska Turabdin won 4-0 on May 12, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assyriska Turabdin have 8 wins, 2 draws and 5 defeats; Sölvesborg have 2, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2018 | Råslätts(away) | 1-0 | Division 2 - Södra Götaland |
| Apr 28, 2018 | Nosaby(away) | 1-1 | Division 2 - Södra Götaland |
| Apr 21, 2018 | Berga(home) | 3-2 | Division 2 - Södra Götaland |
| Apr 13, 2018 | Hässleholms IF(away) | 2-2 | Division 2 - Södra Götaland |
| Apr 7, 2018 | Österlen(home) | 3-0 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Berga(home) | 0-1 | Division 2 - Södra Götaland |
| Apr 27, 2018 | Hässleholms IF(away) | 1-0 | Division 2 - Södra Götaland |
| Apr 21, 2018 | Österlen(home) | 1-1 | Division 2 - Södra Götaland |
| Apr 14, 2018 | Räppe(away) | 1-0 | Division 2 - Södra Götaland |
| Apr 7, 2018 | Dalstorps(home) | 1-2 | Division 2 - Södra Götaland |
How many goals should we expect?
Assyriska Turabdin score 2.1 and concede 1.7 goals per match over their last 15; Sölvesborg score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assyriska Turabdin | 2.1 | 1.7 | 3 | 12/15 | 12/15 |
| Sölvesborg | 0.8 | 0.8 | 2 | 2/5 | 1/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sölvesborg | 25 | 9 | 2 | 14 | 36 | 47 | 29 |
A question about Assyriska Turabdin vs Sölvesborg?
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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