Värmbols vs Motala: result 0-2 and analysis
Division 2 - Södra SvealandRegular Season - 19Kick-off on August 26, 2017 at 02:00 PM (UTC)Värmbols IP, Katrineholm
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What was the result of Värmbols vs Motala?
Motala won 0-2 on August 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Värmbols have 6 wins, 3 draws and 6 defeats; Motala have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | Kumla(away) | 2-0 | Division 2 - Södra Svealand |
| Aug 13, 2017 | Assyriska IF(home) | 2-3 | Division 2 - Södra Svealand |
| Aug 6, 2017 | Haninge(away) | 2-1 | Division 2 - Södra Svealand |
| Jul 30, 2017 | Sleipner(away) | 1-2 | Division 2 - Södra Svealand |
| Jun 28, 2017 | Huddinge(home) | 1-0 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2017 | Sylvia(home) | 1-3 | Division 2 - Södra Svealand |
| Aug 12, 2017 | Södertälje(home) | 0-3 | Division 2 - Södra Svealand |
| Aug 5, 2017 | Kumla(away) | 1-0 | Division 2 - Södra Svealand |
| Jul 29, 2017 | Haninge(away) | 1-1 | Division 2 - Södra Svealand |
| Jun 29, 2017 | Assyriska IF(home) | 3-2 | Division 2 - Södra Svealand |
What does the head-to-head say?
Across the last 3 meetings: 1 Värmbols win(s), 0 draw(s), 2 Motala win(s).
| Date | Score | Competition |
|---|---|---|
| May 13, 2017 | Motala 3-2 Värmbols | Division 2 - Södra Svealand |
| Sep 4, 2016 | Värmbols 1-0 Motala | Division 2 - Södra Svealand |
| May 14, 2016 | Motala 3-1 Värmbols | Division 2 - Södra Svealand |
How many goals should we expect?
Värmbols score 1.9 and concede 1.8 goals per match over their last 15; Motala score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Värmbols | 1.9 | 1.8 | 2 | 12/15 | 10/15 |
| Motala | 1.3 | 1.8 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
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