Hudiksvall vs Skellefteå: result 1-0 and analysis
Division 2 - NorrlandRegular Season - 13Kick-off on June 26, 2016 at 02:00 PM (UTC)Glysis Sparbanken Arena, Hudiksvall
Full time
What was the result of Hudiksvall vs Skellefteå?
Hudiksvall won 1-0 on June 26, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Hudiksvall have 9 wins, 2 draws and 1 defeat; Skellefteå have 4, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Härnösand(away) | 2-1 | Division 2 - Norrland |
| Jun 11, 2016 | Gällivare Malmbergets(home) | 3-0 | Division 2 - Norrland |
| Jun 4, 2016 | Ånge(away) | 3-0 | Division 2 - Norrland |
| May 29, 2016 | Anundsjö(home) | 4-0 | Division 2 - Norrland |
| May 21, 2016 | Morön(home) | 3-0 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2016 | Morön(home) | 0-2 | Division 2 - Norrland |
| Jun 11, 2016 | Valbo(away) | 3-1 | Division 2 - Norrland |
| Jun 4, 2016 | Söderhamn(home) | 1-1 | Division 2 - Norrland |
| May 28, 2016 | IFK Timrå(away) | 1-3 | Division 2 - Norrland |
| May 21, 2016 | Friska Viljor(home) | 5-1 | Division 2 - Norrland |
How many goals should we expect?
Hudiksvall score 2.6 and concede 0.6 goals per match over their last 12; Skellefteå score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hudiksvall | 2.6 | 0.6 | 7 | 5/12 | 10/12 |
| Skellefteå | 1.5 | 1.5 | 2 | 7/12 | 6/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Skellefteå | 12 | 8 | 3 | 1 | 26 | 8 | 27 |
A question about Hudiksvall vs Skellefteå?
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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