Hudiksvall vs Morön: result 3-0 and analysis
Division 2 - NorrlandRegular Season - 8Kick-off on May 21, 2016 at 02:00 PM (UTC)Glysis Sparbanken Arena, Hudiksvall
Full time
What was the result of Hudiksvall vs Morön?
Hudiksvall won 3-0 on May 21, 2016.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Hudiksvall have 4 wins, 2 draws and 1 defeat; Morön have 3, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Valbo(away) | 0-0 | Division 2 - Norrland |
| May 9, 2016 | Söderhamn(home) | 3-0 | Division 2 - Norrland |
| May 5, 2016 | IFK Timrå(away) | 2-3 | Division 2 - Norrland |
| Apr 30, 2016 | Friska Viljor(home) | 6-0 | Division 2 - Norrland |
| Apr 23, 2016 | Boden(away) | 1-1 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Anundsjö(home) | 2-0 | Division 2 - Norrland |
| May 8, 2016 | Valbo(home) | 2-3 | Division 2 - Norrland |
| May 5, 2016 | Söderhamn(away) | 0-1 | Division 2 - Norrland |
| Apr 30, 2016 | IFK Timrå(home) | 3-0 | Division 2 - Norrland |
| Apr 23, 2016 | Friska Viljor(away) | 1-2 | Division 2 - Norrland |
How many goals should we expect?
Hudiksvall score 2.3 and concede 0.9 goals per match over their last 7; Morön score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hudiksvall | 2.3 | 0.9 | 3 | 4/7 | 5/7 |
| Morön | 1.4 | 2.0 | 2 | 3/7 | 5/7 |
Over the last 7 matches in all competitions.
A question about Hudiksvall vs Morön?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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