Sifhälla vs Kumla: result 0-0 and analysis
Division 2 - Norra GötalandNorra Götaland - 12Kick-off on June 11, 2022 at 12:00 PM (UTC)Sporthälla IP A-plan, Säffle
Full time
What was the result of Sifhälla vs Kumla?
Sifhälla and Kumla drew 0-0 on June 11, 2022.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Sifhälla have 6 wins, 2 draws and 3 defeats; Kumla have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2022 | Gauthiod(away) | 2-1 | Division 2 - Norra Götaland |
| May 29, 2022 | Ahlafors(home) | 3-5 | Division 2 - Norra Götaland |
| May 26, 2022 | Mjölby(away) | 0-2 | Division 2 - Norra Götaland |
| May 21, 2022 | Angered BK(home) | 1-0 | Division 2 - Norra Götaland |
| May 14, 2022 | Nordvärmland(away) | 1-0 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2022 | Ahlafors(home) | 0-1 | Division 2 - Norra Götaland |
| May 28, 2022 | Angered BK(away) | 1-2 | Division 2 - Norra Götaland |
| May 25, 2022 | Karlslund(home) | 0-0 | Division 2 - Norra Götaland |
| May 21, 2022 | Grebbestad(away) | 1-0 | Division 2 - Norra Götaland |
| May 15, 2022 | Herrestads(home) | 1-3 | Division 2 - Norra Götaland |
How many goals should we expect?
Sifhälla score 1.5 and concede 1.0 goals per match over their last 11; Kumla score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sifhälla | 1.5 | 1.0 | 6 | 3/11 | 5/11 |
| Kumla | 1.2 | 1.3 | 5 | 8/15 | 7/15 |
Over the last 11 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 Sifhälla vs Kumla?
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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