Nosaby vs Asarum: result 0-3 and analysis
Division 2 - Södra GötalandRegular Season - 10Kick-off on June 9, 2018 at 02:00 PM (UTC)Nya Vallbjörka, Kristianstad
Full time
What was the result of Nosaby vs Asarum?
Asarum won 0-3 on June 9, 2018.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Nosaby have 6 wins, 2 draws and 1 defeat; Asarum have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2018 | Räppe(away) | 1-0 | Division 2 - Södra Götaland |
| May 24, 2018 | Sölvesborg(home) | 1-0 | Division 2 - Södra Götaland |
| May 19, 2018 | Dalstorps(away) | 0-1 | Division 2 - Södra Götaland |
| May 13, 2018 | Råslätts(home) | 2-1 | Division 2 - Södra Götaland |
| May 5, 2018 | Nässjö(away) | 0-0 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2018 | Sölvesborg(home) | 4-3 | Division 2 - Södra Götaland |
| May 26, 2018 | Råslätts(away) | 2-4 | Division 2 - Södra Götaland |
| May 19, 2018 | Assyriska Turabdin(home) | 1-3 | Division 2 - Södra Götaland |
| May 12, 2018 | Berga(away) | 1-3 | Division 2 - Södra Götaland |
| May 4, 2018 | Hässleholms IF(home) | 3-3 | Division 2 - Södra Götaland |
How many goals should we expect?
Nosaby score 1.3 and concede 0.6 goals per match over their last 9; Asarum score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nosaby | 1.3 | 0.6 | 4 | 4/9 | 3/9 |
| Asarum | 1.7 | 2.3 | 1 | 13/15 | 11/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Nosaby | 25 | 12 | 6 | 7 | 47 | 40 | 42 |
A question about Nosaby vs Asarum?
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