Kumla vs Kortedala: result 4-0 and analysis
Division 2 - Norra GötalandRegular Season - 9Kick-off on May 28, 2016 at 01:00 PM (UTC)Kumla IP, Kumla
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What was the result of Kumla vs Kortedala?
Kumla won 4-0 on May 28, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Kumla have 4 wins, 1 draw and 3 defeats; Kortedala have 2, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Vänersborgs IF(away) | 1-7 | Division 2 - Norra Götaland |
| May 16, 2016 | Rynninge(home) | 3-2 | Division 2 - Norra Götaland |
| May 8, 2016 | Grebbestad(home) | 4-1 | Division 2 - Norra Götaland |
| May 5, 2016 | Gauthiod(away) | 1-1 | Division 2 - Norra Götaland |
| Apr 30, 2016 | Skövde AIK(home) | 0-6 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Grebbestad(home) | 1-1 | Division 2 - Norra Götaland |
| May 14, 2016 | Gauthiod(away) | 1-4 | Division 2 - Norra Götaland |
| May 7, 2016 | Skövde AIK(home) | 0-1 | Division 2 - Norra Götaland |
| May 4, 2016 | Gunnilse(away) | 5-1 | Division 2 - Norra Götaland |
| Apr 30, 2016 | Lidköping(home) | 2-1 | Division 2 - Norra Götaland |
How many goals should we expect?
Kumla score 1.4 and concede 2.6 goals per match over their last 8; Kortedala score 1.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 1.4 | 2.6 | 2 | 4/8 | 5/8 |
| Kortedala | 1.3 | 2.1 | 0 | 5/8 | 6/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Kumla | 25 | 6 | 8 | 11 | 26 | 45 | 26 |
A question about Kumla vs Kortedala?
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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