Hudiksvall vs IFK Timrå: result 2-1 and analysis
Division 2 - NorrlandRegular Season - 18Kick-off on August 19, 2016 at 05:30 PM (UTC)Glysis Sparbanken Arena, Hudiksvall
Full time
What was the result of Hudiksvall vs IFK Timrå?
Hudiksvall won 2-1 on August 19, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hudiksvall have 11 wins, 2 draws and 2 defeats; IFK Timrå have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Friska Viljor(away) | 5-1 | Division 2 - Norrland |
| Aug 6, 2016 | Boden(home) | 4-2 | Division 2 - Norrland |
| Jul 31, 2016 | Strömsberg(home) | 4-0 | Division 2 - Norrland |
| Jul 24, 2016 | Sandviken(away) | 0-1 | Division 2 - Norrland |
| Jun 26, 2016 | Skellefteå(home) | 1-0 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Morön(home) | 0-0 | Division 2 - Norrland |
| Aug 8, 2016 | Valbo(away) | 3-2 | Division 2 - Norrland |
| Jul 30, 2016 | Anundsjö(away) | 3-0 | Division 2 - Norrland |
| Jul 23, 2016 | Söderhamn(home) | 1-3 | Division 2 - Norrland |
| Jun 23, 2016 | Friska Viljor(home) | 4-3 | Division 2 - Norrland |
What does the head-to-head say?
In the last meeting: 0 Hudiksvall wins, 0 draws, 1 IFK Timrå win.
| Date | Score | Competition |
|---|---|---|
| May 5, 2016 | IFK Timrå 3-2 Hudiksvall | Division 2 - Norrland |
Last archived meeting: IFK Timrå vs Hudiksvall on May 5, 2016
How many goals should we expect?
Hudiksvall score 2.7 and concede 0.6 goals per match over their last 15; IFK Timrå score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hudiksvall | 2.7 | 0.6 | 9 | 5/15 | 11/15 |
| IFK Timrå | 1.9 | 1.9 | 3 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Hudiksvall vs IFK Timrå?
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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