Linköping City vs Motala: result 3-2 and analysis
Division 2 - Södra SvealandRegular Season - 11Kick-off on June 12, 2016 at 04:00 PM (UTC)Arena Linköping, Linköping
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What was the result of Linköping City vs Motala?
Linköping City won 3-2 on June 12, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Linköping City have 6 wins, 2 draws and 2 defeats; Motala have 4, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2016 | Vimmerby(home) | 1-0 | Division 2 - Södra Svealand |
| Jun 4, 2016 | Värmbols(away) | 0-0 | Division 2 - Södra Svealand |
| May 28, 2016 | Aspudden-Tellus(home) | 2-1 | Division 2 - Södra Svealand |
| May 22, 2016 | Eskilstuna City(away) | 4-1 | Division 2 - Södra Svealand |
| May 14, 2016 | Arameiska / Syrianska(home) | 1-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 8, 2016 | Aspudden-Tellus(away) | 1-0 | Division 2 - Södra Svealand |
How many goals should we expect?
Linköping City score 1.7 and concede 1.1 goals per match over their last 10; Motala score 2.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Linköping City | 1.7 | 1.1 | 3 | 7/10 | 7/10 |
| Motala | 2.1 | 1.6 | 3 | 7/10 | 7/10 |
Over the last 10 matches in all competitions.
A question about Linköping City vs Motala?
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