Söderhamn vs Hudiksvall: result 0-5 and analysis
Division 2 - NorrlandRegular Season - 19Kick-off on August 29, 2016 at 05:00 PM (UTC)Helsingehus Arena, Söderhamn
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What was the result of Söderhamn vs Hudiksvall?
Hudiksvall won 0-5 on August 29, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Söderhamn have 6 wins, 4 draws and 5 defeats; Hudiksvall have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2016 | Morön(away) | 1-2 | Division 2 - Norrland |
| Aug 12, 2016 | Valbo(home) | 2-1 | Division 2 - Norrland |
| Aug 6, 2016 | Anundsjö(away) | 0-0 | Division 2 - Norrland |
| Jul 31, 2016 | Friska Viljor(home) | 2-3 | Division 2 - Norrland |
| Jul 23, 2016 | IFK Timrå(away) | 3-1 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2016 | IFK Timrå(home) | 2-1 | Division 2 - Norrland |
| Aug 13, 2016 | Friska Viljor(away) | 5-1 | Division 2 - Norrland |
| Aug 6, 2016 | Boden(home) | 4-2 | Division 2 - Norrland |
| Jul 31, 2016 | Strömsberg(home) | 4-0 | Division 2 - Norrland |
| Jul 24, 2016 | Sandviken(away) | 0-1 | Division 2 - Norrland |
What does the head-to-head say?
In the last meeting: 0 Söderhamn wins, 0 draws, 1 Hudiksvall win.
| Date | Score | Competition |
|---|---|---|
| May 9, 2016 | Hudiksvall 3-0 Söderhamn | Division 2 - Norrland |
Last archived meeting: Hudiksvall vs Söderhamn on May 9, 2016
How many goals should we expect?
Söderhamn score 1.5 and concede 1.5 goals per match over their last 15; Hudiksvall score 2.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Söderhamn | 1.5 | 1.5 | 2 | 11/15 | 10/15 |
| Hudiksvall | 2.8 | 0.6 | 9 | 5/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Söderhamn vs Hudiksvall?
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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