Kumla vs Mjölby: result 0-1 and analysis
Division 2 - Norra GötalandNorra Götaland - 17Kick-off on August 13, 2022 at 12:00 PM (UTC)Kumla IP, Kumla
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What was the result of Kumla vs Mjölby?
Mjölby won 0-1 on August 13, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kumla have 4 wins, 6 draws and 5 defeats; Mjölby have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2022 | Nordvärmland(away) | 2-1 | Division 2 - Norra Götaland |
| Jun 26, 2022 | Stenungsund(away) | 1-1 | Division 2 - Norra Götaland |
| Jun 23, 2022 | Vänersborgs FK(home) | 3-1 | Division 2 - Norra Götaland |
| Jun 17, 2022 | Lidköping(away) | 0-2 | Division 2 - Norra Götaland |
| Jun 11, 2022 | Sifhälla(away) | 0-0 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2022 | Ahlafors(home) | 1-5 | Division 2 - Norra Götaland |
| Jul 31, 2022 | Karlslund(home) | 2-2 | Division 2 - Norra Götaland |
| Jun 26, 2022 | Angered BK(away) | 1-3 | Division 2 - Norra Götaland |
| Jun 18, 2022 | Grebbestad(away) | 2-0 | Division 2 - Norra Götaland |
| Jun 11, 2022 | Herrestads(away) | 1-3 | Division 2 - Norra Götaland |
What does the head-to-head say?
Across the last 1 meetings: 0 Kumla win(s), 1 draw(s), 0 Mjölby win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 22, 2022 | Mjölby 1-1 Kumla | Division 2 - Norra Götaland |
How many goals should we expect?
Kumla score 0.9 and concede 1.0 goals per match over their last 15; Mjölby score 1.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kumla | 0.9 | 1.0 | 5 | 8/15 | 5/15 |
| Mjölby | 1.2 | 1.8 | 3 | 9/15 | 7/15 |
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