Melhus vs Byåsen: result 0-4 and analysis
3. Division - Girone 5Girone 5 - 2Kick-off on April 18, 2022 at 02:00 PM (UTC)Tishreen Stadium, Damascus
Full time
What was the result of Melhus vs Byåsen?
Byåsen won 0-4 on April 18, 2022.
Goalscorers
- 4′?Byåsen
- 58′?Byåsen
- 88′?Byåsen
- 90′?Byåsen
What is the recent form of both teams?
Over their last 15 matches in all competitions, Melhus have 4 wins, 3 draws and 8 defeats; Byåsen have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2022 | Junkeren(away) | 0-6 | 3. Division - Girone 5 |
| Oct 30, 2021 | Molde II(home) | 0-0 | 3. Division - Girone 5 |
| Oct 23, 2021 | Aalesund II(away) | 2-3 | 3. Division - Girone 5 |
| Oct 17, 2021 | Tynset(home) | 3-0 | 3. Division - Girone 5 |
| Oct 14, 2021 | NTNUI(away) | 1-0 | 3. Division - Girone 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2022 | Trygg/Lade(home) | 4-2 | 3. Division - Girone 5 |
| Mar 26, 2022 | Rosenborg II(away) | 2-2 | Friendlies Clubs |
| Mar 18, 2022 | Strindheim(home) | 3-0 | Friendlies Clubs |
| Mar 1, 2022 | Rosenborg(away) | 2-7 | Friendlies Clubs |
| Oct 30, 2021 | Strindheim(home) | 2-2 | 3. Division - Girone 5 |
What does the head-to-head say?
In the last meeting: 0 Melhus wins, 1 draw, 0 Byåsen wins.
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2021 | Melhus 1-1 Byåsen | 3. Division - Girone 5 |
How many goals should we expect?
Melhus score 0.9 and concede 2.1 goals per match over their last 15; Byåsen score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Melhus | 0.9 | 2.1 | 4 | 6/15 | 8/15 |
| Byåsen | 1.8 | 1.9 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Melhus vs Byåsen?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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