IFK Timrå vs Friska Viljor: result 4-3 and analysis
Division 2 - NorrlandRegular Season - 13Kick-off on June 23, 2016 at 05:00 PM (UTC)Timrå IP Konstgräs, Sörberge
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What was the result of IFK Timrå vs Friska Viljor?
IFK Timrå won 4-3 on June 23, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, IFK Timrå have 6 wins, 3 draws and 3 defeats; Friska Viljor have 6, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 19, 2016 | Boden(away) | 2-1 | Division 2 - Norrland |
| Jun 11, 2016 | Sandviken(home) | 0-6 | Division 2 - Norrland |
| Jun 4, 2016 | Strömsberg(away) | 2-1 | Division 2 - Norrland |
| May 28, 2016 | Skellefteå(home) | 3-1 | Division 2 - Norrland |
| May 20, 2016 | Härnösand(away) | 2-5 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2016 | Anundsjö(away) | 3-1 | Division 2 - Norrland |
| 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 |
How many goals should we expect?
IFK Timrå score 1.9 and concede 2.2 goals per match over their last 12; Friska Viljor score 1.3 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Timrå | 1.9 | 2.2 | 1 | 9/12 | 10/12 |
| Friska Viljor | 1.3 | 2.2 | 2 | 5/12 | 9/12 |
Over the last 12 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 IFK Timrå 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