Skellefteå vs Söderhamn: result 1-1 and analysis
Division 2 - NorrlandRegular Season - 10Kick-off on June 4, 2016 at 12:00 PM (UTC)Electrolux Home Arena, Skellefteå
Full time
What was the result of Skellefteå vs Söderhamn?
Skellefteå and Söderhamn drew 1-1 on June 4, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Skellefteå have 3 wins, 1 draw and 5 defeats; Söderhamn have 4, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | IFK Timrå(away) | 1-3 | Division 2 - Norrland |
| May 21, 2016 | Friska Viljor(home) | 5-1 | Division 2 - Norrland |
| May 14, 2016 | Boden(away) | 0-0 | Division 2 - Norrland |
| May 8, 2016 | Sandviken(home) | 0-2 | Division 2 - Norrland |
| May 5, 2016 | Strömsberg(away) | 2-0 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Gällivare Malmbergets(away) | 2-2 | Division 2 - Norrland |
| May 15, 2016 | Ånge(home) | 3-1 | Division 2 - Norrland |
| May 9, 2016 | Hudiksvall(away) | 0-3 | Division 2 - Norrland |
| May 5, 2016 | Morön(home) | 1-0 | Division 2 - Norrland |
| Apr 29, 2016 | Valbo(away) | 2-1 | Division 2 - Norrland |
How many goals should we expect?
Skellefteå score 1.6 and concede 1.6 goals per match over their last 9; Söderhamn score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skellefteå | 1.6 | 1.6 | 2 | 5/9 | 5/9 |
| Söderhamn | 1.6 | 1.6 | 2 | 5/8 | 6/8 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Skellefteå | 12 | 8 | 3 | 1 | 26 | 8 | 27 |
A question about Skellefteå vs Söderhamn?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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