Kumla vs Sifhälla: result 2-2 and analysis
Division 2 - Norra GötalandNorra Götaland - 25Kick-off on October 8, 2022 at 12:00 PM (UTC)Kumla IP, Kumla
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What was the result of Kumla vs Sifhälla?
Kumla and Sifhälla drew 2-2 on October 8, 2022.
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; Sifhälla 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 |
|---|---|---|---|
| Oct 1, 2022 | Lidköping(home) | 3-1 | Division 2 - Norra Götaland |
| Sep 23, 2022 | Karlslund(away) | 0-3 | Division 2 - Norra Götaland |
| Sep 17, 2022 | Angered BK(home) | 2-5 | Division 2 - Norra Götaland |
| Sep 11, 2022 | Grebbestad(home) | 1-2 | Division 2 - Norra Götaland |
| Sep 4, 2022 | Herrestads(away) | 1-1 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Yxhult(home) | 2-2 | Division 2 - Norra Götaland |
| Sep 24, 2022 | Mjölby(home) | 1-0 | Division 2 - Norra Götaland |
| Sep 17, 2022 | Ahlafors(away) | 1-2 | Division 2 - Norra Götaland |
| Sep 10, 2022 | Angered BK(away) | 4-0 | Division 2 - Norra Götaland |
| Sep 2, 2022 | Nordvärmland(home) | 2-2 | Division 2 - Norra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 0 Kumla win(s), 1 draw(s), 0 Sifhälla win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 11, 2022 | Sifhälla 0-0 Kumla | Division 2 - Norra Götaland |
How many goals should we expect?
Kumla score 1.1 and concede 1.7 goals per match over their last 15; Sifhälla score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 1.1 | 1.7 | 1 | 10/15 | 8/15 |
| Sifhälla | 1.5 | 1.7 | 4 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Kumla | 13 | 4 | 5 | 4 | 14 | 14 | 17 |
| 9 | Kumla | 18 | 5 | 5 | 8 | 19 | 30 | 20 |
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