Valbo vs Hudiksvall: result 1-1 and analysis
Division 2 - NorrlandRegular Season - 14Kick-off on June 30, 2017 at 05:00 PM (UTC)Åbyvallen, Valbo
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What was the result of Valbo vs Hudiksvall?
Valbo and Hudiksvall drew 1-1 on June 30, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Valbo have 4 wins, 6 draws and 5 defeats; Hudiksvall have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2017 | Bollnäs(away) | 0-0 | Division 2 - Norrland |
| Jun 17, 2017 | Anundsjö(home) | 1-1 | Division 2 - Norrland |
| Jun 10, 2017 | Piteå(away) | 0-3 | Division 2 - Norrland |
| Jun 3, 2017 | Morön(home) | 2-0 | Division 2 - Norrland |
| May 28, 2017 | Täfteå(away) | 3-1 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2017 | Härnösand(home) | 1-1 | Division 2 - Norrland |
| Jun 18, 2017 | Skellefteå(away) | 1-1 | Division 2 - Norrland |
| Jun 13, 2017 | Boden(home) | 1-1 | Division 2 - Norrland |
| Jun 10, 2017 | Gällivare Malmbergets(home) | 3-2 | Division 2 - Norrland |
| Jun 4, 2017 | IFK Östersund(home) | 3-1 | Division 2 - Norrland |
What does the head-to-head say?
Across the last 3 meetings: 0 Valbo win(s), 1 draw(s), 2 Hudiksvall win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 13, 2017 | Hudiksvall 5-0 Valbo | Division 2 - Norrland |
| Sep 3, 2016 | Hudiksvall 5-1 Valbo | Division 2 - Norrland |
| May 14, 2016 | Valbo 0-0 Hudiksvall | Division 2 - Norrland |
How many goals should we expect?
Valbo score 0.9 and concede 1.3 goals per match over their last 15; Hudiksvall score 2.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Valbo | 0.9 | 1.3 | 6 | 5/15 | 6/15 |
| Hudiksvall | 2.1 | 1.0 | 3 | 11/15 | 8/15 |
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