Kortedala vs Stenungsund: result 1-0 and analysis
Division 2 - Norra GötalandRegular Season - 13Kick-off on June 23, 2016 at 05:00 PM (UTC)Kortedalavallen 1 Gräs, Göteborg
Full time
What was the result of Kortedala vs Stenungsund?
Kortedala won 1-0 on June 23, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Kortedala have 3 wins, 1 draw and 8 defeats; Stenungsund have 6, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Karlstad(away) | 1-0 | Division 2 - Norra Götaland |
| Jun 11, 2016 | Rynninge(home) | 1-3 | Division 2 - Norra Götaland |
| Jun 4, 2016 | Vänersborgs IF(home) | 1-4 | Division 2 - Norra Götaland |
| May 28, 2016 | Kumla(away) | 0-4 | Division 2 - Norra Götaland |
| May 21, 2016 | Grebbestad(home) | 1-1 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Vänersborgs IF(home) | 3-0 | Division 2 - Norra Götaland |
| Jun 11, 2016 | Kumla(away) | 1-3 | Division 2 - Norra Götaland |
| Jun 2, 2016 | Grebbestad(home) | 2-0 | Division 2 - Norra Götaland |
| May 28, 2016 | Gauthiod(away) | 0-0 | Division 2 - Norra Götaland |
| May 21, 2016 | Skövde AIK(home) | 3-3 | Division 2 - Norra Götaland |
How many goals should we expect?
Kortedala score 1.1 and concede 2.3 goals per match over their last 12; Stenungsund score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kortedala | 1.1 | 2.3 | 1 | 7/12 | 9/12 |
| Stenungsund | 1.7 | 1.2 | 5 | 5/12 | 6/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Stenungsund | 25 | 10 | 6 | 9 | 46 | 34 | 36 |
A question about Kortedala vs Stenungsund?
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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