Skellefteå vs Täfteå: result 3-0 and analysis
Division 2 - NorrlandRegular Season - 6Kick-off on May 11, 2017 at 05:00 PM (UTC)Electrolux Home Arena, Skellefteå
Full time
What was the result of Skellefteå vs Täfteå?
Skellefteå won 3-0 on May 11, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skellefteå have 8 wins, 3 draws and 4 defeats; Täfteå have 1, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2017 | Boden(away) | 2-1 | Division 2 - Norrland |
| Apr 29, 2017 | Söderhamn(home) | 6-0 | Division 2 - Norrland |
| Apr 22, 2017 | Valbo(away) | 4-0 | Division 2 - Norrland |
| Apr 17, 2017 | IFK Timrå(home) | 2-3 | Division 2 - Norrland |
| Apr 8, 2017 | Härnösand(away) | 4-2 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Hudiksvall(home) | 1-1 | Division 2 - Norrland |
| Apr 29, 2017 | IFK Östersund(away) | 0-1 | Division 2 - Norrland |
| Apr 22, 2017 | Bollnäs(home) | 1-0 | Division 2 - Norrland |
| Apr 17, 2017 | Anundsjö(away) | 0-1 | Division 2 - Norrland |
| Apr 8, 2017 | Piteå(home) | 0-4 | Division 2 - Norrland |
How many goals should we expect?
Skellefteå score 2.7 and concede 1.5 goals per match over their last 15; Täfteå score 0.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skellefteå | 2.7 | 1.5 | 4 | 10/15 | 12/15 |
| Täfteå | 0.4 | 1.4 | 1 | 1/5 | 1/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Skellefteå sit 1st in Division 2 - Norrland (27 points from 12 matches) and Täfteå sit 2nd (25 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Skellefteå | 12 | 8 | 3 | 1 | 26 | 8 | 27 |
| 2 | Täfteå | 12 | 8 | 1 | 3 | 34 | 13 | 25 |
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