Kumla vs Säffle SK: result 2-1 and analysis
Division 2 - Norra GötalandNorra Götaland - 4Kick-off on April 21, 2024 at 12:00 PM (UTC)Kumla IP, Kumla
Full time
What was the result of Kumla vs Säffle SK?
Kumla won 2-1 on April 21, 2024.
Goalscorers
- 22′R. DamstromKumla
- 65′?Säffle SK
- 71′R. DamstromKumla
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kumla have 3 wins, 4 draws and 8 defeats; Säffle SK have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2024 | Kongahälla(away) | 1-2 | Division 2 - Norra Götaland |
| Apr 6, 2024 | Gauthiod(home) | 2-0 | Division 2 - Norra Götaland |
| Mar 29, 2024 | Herrestads(away) | 1-2 | Division 2 - Norra Götaland |
| Oct 16, 2022 | Ahlafors(away) | 0-2 | Division 2 - Norra Götaland |
| Oct 8, 2022 | Sifhälla(home) | 2-2 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2024 | Vänersborgs FK(home) | 1-2 | Division 2 - Norra Götaland |
| Apr 6, 2024 | Motala(away) | 2-0 | Division 2 - Norra Götaland |
| Mar 29, 2024 | Stenungsund(home) | 0-2 | Division 2 - Norra Götaland |
| Oct 21, 2023 | Zenith(away) | 0-0 | Division 2 - Norra Götaland |
| Oct 15, 2023 | Yxhult(home) | 3-2 | Division 2 - Norra Götaland |
How many goals should we expect?
Kumla score 1.2 and concede 1.9 goals per match over their last 15; Säffle SK score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 1.2 | 1.9 | 1 | 11/15 | 9/15 |
| Säffle SK | 1.2 | 1.3 | 5 | 6/15 | 6/15 |
Over the last 15 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 Säffle SK?
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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