Piteå vs Friska Viljor: result 2-1 and analysis
Division 2 - NorrlandRegular Season - 10Kick-off on June 10, 2018 at 02:00 PM (UTC)LF Arena, Piteå
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What was the result of Piteå vs Friska Viljor?
Piteå won 2-1 on June 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Piteå have 7 wins, 3 draws and 5 defeats; Friska Viljor have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2018 | IFK Timrå(away) | 2-1 | Division 2 - Norrland |
| May 26, 2018 | IFK Luleå(home) | 1-2 | Division 2 - Norrland |
| May 20, 2018 | Hudiksvall(away) | 2-1 | Division 2 - Norrland |
| May 13, 2018 | Täfteå(home) | 5-2 | Division 2 - Norrland |
| May 5, 2018 | Gällivare Malmbergets(away) | 1-3 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2018 | Härnösand(home) | 2-0 | Division 2 - Norrland |
| May 27, 2018 | IFK Östersund(away) | 1-1 | Division 2 - Norrland |
| May 19, 2018 | Ytterhogdal(home) | 5-2 | Division 2 - Norrland |
| May 12, 2018 | Gottne(away) | 1-1 | Division 2 - Norrland |
| May 5, 2018 | Kramfors-Alliansen(home) | 4-0 | Division 2 - Norrland |
How many goals should we expect?
Piteå score 2.1 and concede 1.3 goals per match over their last 15; Friska Viljor score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Piteå | 2.1 | 1.3 | 4 | 10/15 | 10/15 |
| Friska Viljor | 1.5 | 1.8 | 3 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Friska Viljor | 12 | 2 | 6 | 4 | 23 | 21 | 12 |
A question about Piteå 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