Aspudden-Tellus vs Skiljebo: result 0-2 and analysis
Division 2 - Norra SvealandRegular Season - 3Kick-off on April 22, 2017 at 12:00 PM (UTC)Aspuddens IP, Stockholm
Full time
What was the result of Aspudden-Tellus vs Skiljebo?
Skiljebo won 0-2 on April 22, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aspudden-Tellus have 6 wins, 0 draws and 9 defeats; Skiljebo have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2017 | Lidingö(away) | 2-4 | Division 2 - Norra Svealand |
| Apr 8, 2017 | Norrtälje(home) | 2-0 | Division 2 - Norra Svealand |
| Oct 16, 2016 | Konyaspor(home) | 3-0 | Division 2 - Södra Svealand |
| Oct 8, 2016 | Södertälje(away) | 1-4 | Division 2 - Södra Svealand |
| Oct 1, 2016 | Smedby(home) | 4-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2017 | Syrianska IF(home) | 5-0 | Division 2 - Norra Svealand |
| Apr 9, 2017 | Håbo(away) | 2-0 | Division 2 - Norra Svealand |
| Oct 15, 2016 | Norrtälje(home) | 1-1 | Division 2 - Norra Svealand |
| Oct 8, 2016 | Franke(away) | 3-3 | Division 2 - Norra Svealand |
| Oct 1, 2016 | Karlberg(home) | 1-2 | Division 2 - Norra Svealand |
How many goals should we expect?
Aspudden-Tellus score 2.0 and concede 3.2 goals per match over their last 15; Skiljebo score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aspudden-Tellus | 2.0 | 3.2 | 2 | 11/15 | 14/15 |
| Skiljebo | 2.0 | 1.3 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Skiljebo | 25 | 17 | 5 | 3 | 56 | 26 | 56 |
A question about Aspudden-Tellus vs Skiljebo?
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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