Linköping City vs Aspudden-Tellus: result 2-1 and analysis
Division 2 - Södra SvealandRegular Season - 9Kick-off on May 28, 2016 at 02:00 PM (UTC)Arena Linköping, Linköping
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What was the result of Linköping City vs Aspudden-Tellus?
Linköping City won 2-1 on May 28, 2016.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Linköping City have 4 wins, 1 draw and 2 defeats; Aspudden-Tellus have 3, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Eskilstuna City(away) | 4-1 | Division 2 - Södra Svealand |
| May 14, 2016 | Arameiska / Syrianska(home) | 1-2 | Division 2 - Södra Svealand |
| May 9, 2016 | Sylvia(away) | 1-0 | Division 2 - Södra Svealand |
| May 5, 2016 | Smedby(home) | 2-1 | Division 2 - Södra Svealand |
| Apr 30, 2016 | Södertälje(away) | 3-3 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2016 | Huddinge(home) | 1-2 | Division 2 - Södra Svealand |
| May 14, 2016 | Assyriska IF(away) | 2-0 | Division 2 - Södra Svealand |
| May 8, 2016 | Motala(home) | 0-1 | Division 2 - Södra Svealand |
| May 5, 2016 | Värmbols(away) | 2-2 | Division 2 - Södra Svealand |
| Apr 30, 2016 | Vimmerby(away) | 2-0 | Division 2 - Södra Svealand |
How many goals should we expect?
Linköping City score 2.0 and concede 1.4 goals per match over their last 7; Aspudden-Tellus score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Linköping City | 2.0 | 1.4 | 1 | 6/7 | 6/7 |
| Aspudden-Tellus | 1.5 | 1.6 | 3 | 3/8 | 5/8 |
Over the last 7 matches in all competitions.
A question about Linköping City vs Aspudden-Tellus?
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