Anundsjö vs Friska Viljor: result 1-3 and analysis
Division 2 - NorrlandRegular Season - 12Kick-off on June 17, 2016 at 05:00 PM (UTC)Olympia, Helsingborg
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What was the result of Anundsjö vs Friska Viljor?
Friska Viljor won 1-3 on June 17, 2016.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Anundsjö have 3 wins, 2 draws and 6 defeats; Friska Viljor have 5, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2016 | Ånge(away) | 2-1 | Division 2 - Norrland |
| Jun 4, 2016 | Boden(home) | 0-3 | Division 2 - Norrland |
| May 29, 2016 | Hudiksvall(away) | 0-4 | Division 2 - Norrland |
| May 21, 2016 | Sandviken(home) | 0-6 | Division 2 - Norrland |
| May 14, 2016 | Morön(away) | 0-2 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2016 | Boden(home) | 0-3 | Division 2 - Norrland |
| Jun 5, 2016 | Sandviken(away) | 0-5 | Division 2 - Norrland |
| May 28, 2016 | Strömsberg(home) | 3-0 | Division 2 - Norrland |
| May 21, 2016 | Skellefteå(away) | 1-5 | Division 2 - Norrland |
| May 13, 2016 | Härnösand(home) | 0-2 | Division 2 - Norrland |
How many goals should we expect?
Anundsjö score 0.8 and concede 2.3 goals per match over their last 11; Friska Viljor score 1.2 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Anundsjö | 0.8 | 2.3 | 1 | 5/11 | 8/11 |
| Friska Viljor | 1.2 | 2.3 | 2 | 4/11 | 8/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Friska Viljor | 12 | 2 | 6 | 4 | 23 | 21 | 12 |
A question about Anundsjö vs Friska Viljor?
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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