Skellefteå vs Ytterhogdal: result 4-2 and analysis
Division 2 - NorrlandRegular Season - 9Kick-off on May 30, 2019 at 12:00 PM (UTC)Electrolux Home Arena, Skellefteå
Full time
What was the result of Skellefteå vs Ytterhogdal?
Skellefteå won 4-2 on May 30, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skellefteå have 5 wins, 3 draws and 7 defeats; Ytterhogdal 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 |
|---|---|---|---|
| May 25, 2019 | Anundsjö(away) | 3-0 | Division 2 - Norrland |
| May 18, 2019 | Gottne(home) | 2-2 | Division 2 - Norrland |
| May 11, 2019 | Sandviks(away) | 4-2 | Division 2 - Norrland |
| May 4, 2019 | Täfteå(home) | 3-0 | Division 2 - Norrland |
| Apr 27, 2019 | IFK Östersund(away) | 1-0 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | IFK Timrå(home) | 3-0 | Division 2 - Norrland |
| May 18, 2019 | Umeå FC Akademi(away) | 3-0 | Division 2 - Norrland |
| May 12, 2019 | Piteå(home) | 2-2 | Division 2 - Norrland |
| May 4, 2019 | Kramfors-Alliansen(away) | 4-1 | Division 2 - Norrland |
| Apr 27, 2019 | Umeå FC(away) | 1-0 | Division 2 - Norrland |
How many goals should we expect?
Skellefteå score 1.9 and concede 2.0 goals per match over their last 15; Ytterhogdal score 2.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skellefteå | 1.9 | 2.0 | 4 | 9/15 | 11/15 |
| Ytterhogdal | 2.7 | 1.0 | 6 | 8/15 | 12/15 |
Over the last 15 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 Ytterhogdal?
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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