Yxhult vs Angered BK: result 3-0 and analysis
Division 2 - Norra GötalandNorra Götaland - 4Kick-off on April 23, 2022 at 01:00 PM (UTC)Kumla IP, Kumla
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What was the result of Yxhult vs Angered BK?
Yxhult won 3-0 on April 23, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Yxhult have 3 wins, 4 draws and 8 defeats; Angered BK have 8, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 28, 2021 | Grebbestad(home) | 0-0 | Division 2 - Norra Götaland |
| Nov 20, 2021 | Nordvärmland(home) | 1-2 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2022 | Gauthiod(home) | 0-1 | Division 2 - Norra Götaland |
| Apr 9, 2022 | Mjölby(away) | 0-1 | Division 2 - Norra Götaland |
| Apr 2, 2022 | Nordvärmland(home) | 0-1 | Division 2 - Norra Götaland |
| Nov 28, 2021 | Ahlafors(away) | 5-2 | Division 2 - Norra Götaland |
| Nov 20, 2021 | Forward(home) | 1-6 | Division 2 - Norra Götaland |
What does the head-to-head say?
Across the last 2 meetings: 1 Yxhult win, 1 draw, 0 Angered BK wins.
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2021 | Angered BK 0-1 Yxhult | Division 2 - Norra Götaland |
| Jun 27, 2021 | Yxhult 2-2 Angered BK | Division 2 - Norra Götaland |
How many goals should we expect?
Yxhult score 1.2 and concede 2.0 goals per match over their last 15; Angered BK score 2.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yxhult | 1.2 | 2.0 | 3 | 8/15 | 9/15 |
| Angered BK | 2.3 | 1.7 | 2 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
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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