Hudiksvall vs Ånge: result 4-0 and analysis
Division 2 - NorrlandRegular Season - 22Kick-off on September 18, 2016 at 02:00 PM (UTC)Glysis Sparbanken Arena, Hudiksvall
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What was the result of Hudiksvall vs Ånge?
Hudiksvall won 4-0 on September 18, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hudiksvall have 13 wins, 1 draw and 1 defeat; Ånge have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Morön(away) | 2-0 | Division 2 - Norrland |
| Sep 3, 2016 | Valbo(home) | 5-1 | Division 2 - Norrland |
| Aug 29, 2016 | Söderhamn(away) | 5-0 | Division 2 - Norrland |
| Aug 19, 2016 | IFK Timrå(home) | 2-1 | Division 2 - Norrland |
| Aug 13, 2016 | Friska Viljor(away) | 5-1 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2016 | Valbo(away) | 0-1 | Division 2 - Norrland |
| Sep 4, 2016 | Söderhamn(home) | 2-2 | Division 2 - Norrland |
| Aug 26, 2016 | IFK Timrå(away) | 4-2 | Division 2 - Norrland |
| Aug 20, 2016 | Friska Viljor(home) | 3-1 | Division 2 - Norrland |
| Aug 13, 2016 | Boden(away) | 0-2 | Division 2 - Norrland |
What does the head-to-head say?
In the last meeting: 1 Hudiksvall win, 0 draws, 0 Ånge wins.
| Date | Score | Competition |
|---|---|---|
| Jun 4, 2016 | Ånge 0-3 Hudiksvall | Division 2 - Norrland |
How many goals should we expect?
Hudiksvall score 2.9 and concede 0.5 goals per match over their last 15; Ånge score 1.1 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hudiksvall | 2.9 | 0.5 | 9 | 5/15 | 11/15 |
| Ånge | 1.1 | 3.0 | 0 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Hudiksvall vs Ånge?
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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