Yxhult vs Kumla: result 2-1 and analysis
Division 2 - Norra GötalandNorra Götaland - 6Kick-off on May 6, 2022 at 05:00 PM (UTC)
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What was the result of Yxhult vs Kumla?
Yxhult won 2-1 on May 6, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Yxhult have 4 wins, 4 draws and 7 defeats; Kumla have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2022 | Ahlafors(away) | 0-4 | Division 2 - Norra Götaland |
| Apr 23, 2022 | Angered BK(home) | 3-0 | Division 2 - Norra Götaland |
| Apr 15, 2022 | Karlslund(away) | 3-2 | Division 2 - Norra Götaland |
| Apr 9, 2022 | Grebbestad(home) | 0-1 | Division 2 - Norra Götaland |
| Apr 2, 2022 | Herrestads(away) | 3-1 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Gauthiod(home) | 1-1 | Division 2 - Norra Götaland |
| Apr 22, 2022 | Mjölby(away) | 1-1 | Division 2 - Norra Götaland |
| Apr 14, 2022 | Nordvärmland(home) | 0-0 | Division 2 - Norra Götaland |
| Apr 9, 2022 | Vänersborgs FK(away) | 1-0 | Division 2 - Norra Götaland |
| Apr 3, 2022 | Stenungsund(home) | 1-0 | Division 2 - Norra Götaland |
What does the head-to-head say?
Across the last 2 meetings: 0 Yxhult win(s), 0 draw(s), 2 Kumla win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2021 | Kumla 3-0 Yxhult | Division 2 - Norra Götaland |
| Jun 30, 2021 | Yxhult 0-1 Kumla | Division 2 - Norra Götaland |
How many goals should we expect?
Yxhult score 1.3 and concede 1.8 goals per match over their last 15; Kumla score 1.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yxhult | 1.3 | 1.8 | 4 | 7/15 | 10/15 |
| Kumla | 1.5 | 1.6 | 4 | 9/15 | 8/15 |
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