Värmbols vs Atvidabergs FF: result 0-1 and analysis
Division 2 - Södra SvealandSödra Svealand - 4Kick-off on August 16, 2020 at 03:00 PM (UTC)Värmbols IP, Katrineholm
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What was the result of Värmbols vs Atvidabergs FF?
Atvidabergs FF won 0-1 on August 16, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Värmbols have 9 wins, 0 draws and 6 defeats; Atvidabergs FF have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2020 | Newroz(away) | 2-1 | Division 2 - Södra Svealand |
| Jun 27, 2020 | Huddinge(away) | 3-2 | Division 2 - Södra Svealand |
| Jun 14, 2020 | Arameiska / Syrianska(home) | 1-2 | Division 2 - Södra Svealand |
| Oct 12, 2019 | Assyriska IF(home) | 3-1 | Division 2 - Södra Svealand |
| Oct 5, 2019 | Arameiska / Syrianska(away) | 1-3 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 8, 2020 | Forward(home) | 0-4 | Division 2 - Södra Svealand |
| Jun 27, 2020 | Kumla(home) | 4-1 | Division 2 - Södra Svealand |
| Jun 14, 2020 | Assyriska FF(away) | 1-4 | Division 2 - Södra Svealand |
| Nov 2, 2019 | Lund(home) | 2-2 | Ettan - Södra |
| Oct 26, 2019 | Assyriska Turabdin(away) | 3-1 | Ettan - Södra |
How many goals should we expect?
Värmbols score 2.1 and concede 1.8 goals per match over their last 15; Atvidabergs FF score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Värmbols | 2.1 | 1.8 | 0 | 14/15 | 15/15 |
| Atvidabergs FF | 1.3 | 1.7 | 1 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Atvidabergs FF | 26 | 21 | 3 | 3 | 70 | 18 | 66 |
A question about Värmbols vs Atvidabergs FF?
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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