Aspudden-Tellus vs Karlslund: result 4-0 and analysis
Division 2 - Södra SvealandRegular Season - 10Kick-off on June 4, 2016 at 02:00 PM (UTC)Aspuddens IP, Stockholm
Full time
What was the result of Aspudden-Tellus vs Karlslund?
Aspudden-Tellus won 4-0 on June 4, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Aspudden-Tellus have 3 wins, 1 draw and 5 defeats; Karlslund have 5, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Linköping City(away) | 1-2 | Division 2 - Södra Svealand |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 8, 2016 | Smedby(away) | 2-7 | Division 2 - Södra Svealand |
| May 5, 2016 | Södertälje(home) | 0-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Aspudden-Tellus score 1.4 and concede 1.7 goals per match over their last 9; Karlslund score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aspudden-Tellus | 1.4 | 1.7 | 3 | 4/9 | 6/9 |
| Karlslund | 1.8 | 1.9 | 3 | 5/9 | 6/9 |
Over the last 9 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 Aspudden-Tellus 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