Ytterhogdal vs Kramfors-Alliansen: result 3-1 and analysis
Division 2 - NorrlandRegular Season - 23Kick-off on September 29, 2018 at 12:00 PM (UTC)Svedjevallen, Ytterhogdal
Full time
What was the result of Ytterhogdal vs Kramfors-Alliansen?
Ytterhogdal won 3-1 on September 29, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ytterhogdal have 11 wins, 2 draws and 2 defeats; Kramfors-Alliansen have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Gottne(away) | 1-1 | Division 2 - Norrland |
| Sep 15, 2018 | Boden(away) | 0-1 | Division 2 - Norrland |
| Sep 8, 2018 | Friska Viljor(home) | 4-1 | Division 2 - Norrland |
| Sep 1, 2018 | IFK Timrå(away) | 2-1 | Division 2 - Norrland |
| Aug 25, 2018 | IFK Luleå(home) | 5-2 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | IFK Östersund(home) | 0-2 | Division 2 - Norrland |
| Sep 14, 2018 | Gottne(home) | 0-2 | Division 2 - Norrland |
| Sep 8, 2018 | Umeå FC(away) | 1-0 | Division 2 - Norrland |
| Sep 1, 2018 | Boden(away) | 0-2 | Division 2 - Norrland |
| Aug 27, 2018 | Friska Viljor(home) | 3-2 | Division 2 - Norrland |
What does the head-to-head say?
Across the last 1 meetings: 1 Ytterhogdal win(s), 0 draw(s), 0 Kramfors-Alliansen win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2018 | Kramfors-Alliansen 2-6 Ytterhogdal | Division 2 - Norrland |
Last archived meeting: Kramfors-Alliansen vs Ytterhogdal on Jun 2, 2018
How many goals should we expect?
Ytterhogdal score 2.7 and concede 1.1 goals per match over their last 15; Kramfors-Alliansen score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ytterhogdal | 2.7 | 1.1 | 4 | 10/15 | 11/15 |
| Kramfors-Alliansen | 1.6 | 1.7 | 2 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy