Assyriska IF vs Sleipner: result 0-0 and analysis
Division 2 - Södra SvealandRegular Season - 10Kick-off on June 3, 2017 at 01:00 PM (UTC)Mamre IP, Norrköping
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What was the result of Assyriska IF vs Sleipner?
Assyriska IF and Sleipner drew 0-0 on June 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assyriska IF have 1 win, 3 draws and 11 defeats; Sleipner have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Rynninge(away) | 0-2 | Division 2 - Södra Svealand |
| May 24, 2017 | Örebro Syrianska(home) | 0-2 | Division 2 - Södra Svealand |
| May 20, 2017 | Boo(away) | 3-5 | Division 2 - Södra Svealand |
| May 13, 2017 | Linköping City(home) | 1-5 | Division 2 - Södra Svealand |
| May 6, 2017 | Värmdö(away) | 0-4 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Haninge(home) | 2-1 | Division 2 - Södra Svealand |
| May 25, 2017 | Huddinge(away) | 1-0 | Division 2 - Södra Svealand |
| May 20, 2017 | Södertälje(home) | 1-0 | Division 2 - Södra Svealand |
| May 14, 2017 | Rynninge(home) | 7-2 | Division 2 - Södra Svealand |
| May 6, 2017 | Örebro Syrianska(away) | 2-0 | Division 2 - Södra Svealand |
How many goals should we expect?
Assyriska IF score 1.0 and concede 2.7 goals per match over their last 15; Sleipner score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assyriska IF | 1.0 | 2.7 | 1 | 9/15 | 10/15 |
| Sleipner | 1.7 | 1.3 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sleipner | 25 | 14 | 6 | 5 | 51 | 36 | 48 |
A question about Assyriska IF vs Sleipner?
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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