Sifhälla vs Mjölby: result 1-0 and analysis
Division 2 - Norra GötalandNorra Götaland - 23Kick-off on September 24, 2022 at 12:00 PM (UTC)Sporthälla IP A-plan, Säffle
Full time
What was the result of Sifhälla vs Mjölby?
Sifhälla won 1-0 on September 24, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sifhälla have 5 wins, 3 draws and 7 defeats; Mjölby have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 28, 2022 | Karlslund(away) | 1-1 | Division 2 - Norra Götaland |
| Aug 20, 2022 | Vänersborgs FK(home) | 3-0 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2022 | Gauthiod(home) | 1-0 | Division 2 - Norra Götaland |
| Sep 11, 2022 | Nordvärmland(away) | 2-3 | Division 2 - Norra Götaland |
| Sep 3, 2022 | Vänersborgs FK(home) | 2-0 | Division 2 - Norra Götaland |
| Aug 27, 2022 | Stenungsund(away) | 1-3 | Division 2 - Norra Götaland |
| Aug 20, 2022 | Lidköping(home) | 1-2 | Division 2 - Norra Götaland |
What does the head-to-head say?
In the last meeting: 0 Sifhälla wins, 0 draws, 1 Mjölby win.
| Date | Score | Competition |
|---|---|---|
| May 26, 2022 | Mjölby 2-0 Sifhälla | Division 2 - Norra Götaland |
How many goals should we expect?
Sifhälla score 1.4 and concede 1.7 goals per match over their last 15; Mjölby score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sifhälla | 1.4 | 1.7 | 4 | 8/15 | 10/15 |
| Mjölby | 1.5 | 1.8 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Sifhälla vs Mjölby?
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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