Motala vs Vimmerby: result 1-2 and analysis
Division 2 - Södra SvealandRegular Season - 21Kick-off on September 10, 2016 at 01:00 PM (UTC)Motala Idrottspark, Motala
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What was the result of Motala vs Vimmerby?
Vimmerby won 1-2 on September 10, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Motala have 7 wins, 1 draw and 7 defeats; Vimmerby have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2016 | Värmbols(away) | 0-1 | Division 2 - Södra Svealand |
| Aug 27, 2016 | Aspudden-Tellus(home) | 2-3 | Division 2 - Södra Svealand |
| Aug 20, 2016 | Eskilstuna City(away) | 2-6 | Division 2 - Södra Svealand |
| Aug 13, 2016 | Arameiska / Syrianska(home) | 0-3 | Division 2 - Södra Svealand |
| Aug 8, 2016 | Sylvia(away) | 3-0 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2016 | Södertälje(home) | 2-1 | Division 2 - Södra Svealand |
| Aug 28, 2016 | Värmbols(away) | 1-2 | Division 2 - Södra Svealand |
| Aug 20, 2016 | Konyaspor(home) | 3-0 | Division 2 - Södra Svealand |
| Aug 13, 2016 | Aspudden-Tellus(away) | 2-3 | Division 2 - Södra Svealand |
| Aug 6, 2016 | Karlslund(home) | 0-4 | Division 2 - Södra Svealand |
What does the head-to-head say?
In the last meeting: 1 Motala win, 0 draws, 0 Vimmerby wins.
| Date | Score | Competition |
|---|---|---|
| May 21, 2016 | Vimmerby 0-2 Motala | Division 2 - Södra Svealand |
How many goals should we expect?
Motala score 2.5 and concede 2.0 goals per match over their last 15; Vimmerby score 1.1 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Motala | 2.5 | 2.0 | 3 | 10/15 | 12/15 |
| Vimmerby | 1.1 | 1.9 | 2 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Motala vs Vimmerby?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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