Morön vs Hudiksvall: result 2-1 and analysis
Division 2 - NorrlandRegular Season - 19Kick-off on August 26, 2017 at 11:00 AM (UTC)Skogsvallen IP, Skellefteå
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What was the result of Morön vs Hudiksvall?
Morön won 2-1 on August 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Morön have 4 wins, 3 draws and 8 defeats; Hudiksvall have 9, 6 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | IFK Östersund(away) | 0-6 | Division 2 - Norrland |
| Aug 12, 2017 | Bollnäs(home) | 6-0 | Division 2 - Norrland |
| Aug 5, 2017 | Anundsjö(away) | 2-0 | Division 2 - Norrland |
| Jul 29, 2017 | Gällivare Malmbergets(away) | 2-2 | Division 2 - Norrland |
| Jun 29, 2017 | Piteå(home) | 2-2 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2017 | Täfteå(home) | 4-1 | Division 2 - Norrland |
| Aug 12, 2017 | Boden(away) | 2-2 | Division 2 - Norrland |
| Aug 6, 2017 | Söderhamn(home) | 2-0 | Division 2 - Norrland |
| Jul 30, 2017 | IFK Timrå(home) | 3-1 | Division 2 - Norrland |
| Jun 30, 2017 | Valbo(away) | 1-1 | Division 2 - Norrland |
What does the head-to-head say?
Across the last 3 meetings: 0 Morön win(s), 0 draw(s), 3 Hudiksvall win(s).
| Date | Score | Competition |
|---|---|---|
| May 13, 2017 | Hudiksvall 3-1 Morön | Division 2 - Norrland |
| Sep 10, 2016 | Morön 0-2 Hudiksvall | Division 2 - Norrland |
| May 21, 2016 | Hudiksvall 3-0 Morön | Division 2 - Norrland |
How many goals should we expect?
Morön score 1.4 and concede 1.9 goals per match over their last 15; Hudiksvall score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Morön | 1.4 | 1.9 | 3 | 7/15 | 8/15 |
| Hudiksvall | 2.1 | 0.9 | 3 | 12/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy