Motala vs Karlslund: result 3-4 and analysis
Division 2 - Södra SvealandRegular Season - 12Kick-off on June 19, 2016 at 01:00 PM (UTC)Motala Idrottspark, Motala
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What was the result of Motala vs Karlslund?
Karlslund won 3-4 on June 19, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Motala have 4 wins, 3 draws and 4 defeats; Karlslund have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2016 | Linköping City(away) | 2-3 | Division 2 - Södra Svealand |
| Jun 4, 2016 | Huddinge(home) | 3-3 | Division 2 - Södra Svealand |
| May 28, 2016 | Assyriska IF(away) | 1-2 | Division 2 - Södra Svealand |
| May 21, 2016 | Vimmerby(away) | 2-0 | Division 2 - Södra Svealand |
| May 14, 2016 | Värmbols(home) | 3-1 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2016 | Värmbols(home) | 2-2 | Division 2 - Södra Svealand |
| Jun 4, 2016 | Aspudden-Tellus(away) | 0-4 | Division 2 - Södra Svealand |
| May 27, 2016 | Eskilstuna City(home) | 1-0 | Division 2 - Södra Svealand |
| May 22, 2016 | Arameiska / Syrianska(away) | 1-0 | Division 2 - Södra Svealand |
| May 13, 2016 | Sylvia(home) | 3-0 | Division 2 - Södra Svealand |
How many goals should we expect?
Motala score 2.1 and concede 1.7 goals per match over their last 11; Karlslund score 1.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Motala | 2.1 | 1.7 | 3 | 8/11 | 8/11 |
| Karlslund | 1.6 | 2.1 | 3 | 6/11 | 8/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Karlslund | 25 | 8 | 7 | 10 | 38 | 42 | 31 |
A question about Motala vs Karlslund?
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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