Ytterhogdal vs Gottne: result 2-0 and analysis
Division 2 - NorrlandRegular Season - 10Kick-off on June 9, 2018 at 01:00 PM (UTC)Svedjevallen, Ytterhogdal
Full time
What was the result of Ytterhogdal vs Gottne?
Ytterhogdal won 2-0 on June 9, 2018.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Ytterhogdal have 3 wins, 2 draws and 4 defeats; Gottne have 4, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2018 | Kramfors-Alliansen(away) | 6-2 | Division 2 - Norrland |
| May 26, 2018 | Boden(home) | 2-2 | Division 2 - Norrland |
| May 19, 2018 | Friska Viljor(away) | 2-5 | Division 2 - Norrland |
| May 10, 2018 | IFK Timrå(home) | 2-3 | Division 2 - Norrland |
| May 5, 2018 | IFK Luleå(away) | 1-1 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2018 | Umeå FC(home) | 1-0 | Division 2 - Norrland |
| May 25, 2018 | Kramfors-Alliansen(home) | 2-1 | Division 2 - Norrland |
| May 19, 2018 | Boden(away) | 1-3 | Division 2 - Norrland |
| May 12, 2018 | Friska Viljor(home) | 1-1 | Division 2 - Norrland |
| May 5, 2018 | IFK Timrå(away) | 1-0 | Division 2 - Norrland |
How many goals should we expect?
Ytterhogdal score 2.0 and concede 2.0 goals per match over their last 9; Gottne score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ytterhogdal | 2.0 | 2.0 | 0 | 7/9 | 6/9 |
| Gottne | 1.2 | 1.3 | 2 | 5/9 | 4/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Gottne | 12 | 7 | 2 | 3 | 29 | 24 | 23 |
A question about Ytterhogdal vs Gottne?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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