Linköping City vs Huddinge: result 3-1 and analysis
Division 2 - Södra SvealandRegular Season - 13Kick-off on June 22, 2016 at 05:30 PM (UTC)Arena Linköping, Linköping
Full time
What was the result of Linköping City vs Huddinge?
Linköping City won 3-1 on June 22, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Linköping City have 7 wins, 2 draws and 3 defeats; Huddinge have 5, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Assyriska IF(away) | 0-2 | Division 2 - Södra Svealand |
| Jun 12, 2016 | Motala(home) | 3-2 | Division 2 - Södra Svealand |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Vimmerby(away) | 2-2 | Division 2 - Södra Svealand |
| Jun 12, 2016 | Assyriska IF(home) | 2-3 | Division 2 - Södra Svealand |
| Jun 4, 2016 | Motala(away) | 3-3 | Division 2 - Södra Svealand |
| May 29, 2016 | Värmbols(home) | 2-2 | Division 2 - Södra Svealand |
| May 20, 2016 | Aspudden-Tellus(away) | 2-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Linköping City score 1.7 and concede 1.3 goals per match over their last 12; Huddinge score 2.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Linköping City | 1.7 | 1.3 | 3 | 8/12 | 8/12 |
| Huddinge | 2.3 | 1.9 | 1 | 10/12 | 11/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Huddinge | 26 | 9 | 3 | 14 | 48 | 64 | 30 |
A question about Linköping City vs Huddinge?
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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