Sleipner vs Assyriska FF: result 3-3 and analysis
Division 2 - Södra SvealandSödra Svealand - 13Kick-off on June 18, 2022 at 12:00 PM (UTC)PlatinumCars Arena, Norrköping
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What was the result of Sleipner vs Assyriska FF?
Sleipner and Assyriska FF drew 3-3 on June 18, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sleipner have 7 wins, 2 draws and 6 defeats; Assyriska FF have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2022 | Enskede(away) | 0-2 | Division 2 - Södra Svealand |
| Jun 3, 2022 | Huddinge(home) | 1-4 | Division 2 - Södra Svealand |
| May 29, 2022 | Nyköping(away) | 2-1 | Division 2 - Södra Svealand |
| May 26, 2022 | Smedby(home) | 1-3 | Division 2 - Södra Svealand |
| May 22, 2022 | Trosa-Vagnhärad SK(away) | 2-1 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2022 | Karlberg(home) | 3-2 | Division 2 - Södra Svealand |
| Jun 5, 2022 | Arameiska / Syrianska(away) | 3-0 | Division 2 - Södra Svealand |
| May 29, 2022 | Värmbols(away) | 3-0 | Division 2 - Södra Svealand |
| May 26, 2022 | Enskede(home) | 0-1 | Division 2 - Södra Svealand |
| May 21, 2022 | Huddinge(away) | 3-3 | Division 2 - Södra Svealand |
How many goals should we expect?
Sleipner score 1.3 and concede 1.9 goals per match over their last 15; Assyriska FF score 2.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sleipner | 1.3 | 1.9 | 2 | 11/15 | 10/15 |
| Assyriska FF | 2.2 | 1.1 | 5 | 9/15 | 11/15 |
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 | 12 | 7 | 3 | 2 | 24 | 19 | 24 |
| 2 | Sleipner | 18 | 10 | 4 | 4 | 36 | 30 | 34 |
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