Melhus vs Junkeren: result 1-6 and analysis
3. Division - Girone 5Girone 5 - 26Kick-off on October 23, 2022 at 11:00 AM (UTC)Tishreen Stadium, Damascus
Full time
What was the result of Melhus vs Junkeren?
Junkeren won 1-6 on October 23, 2022.
Goalscorers
- 5′?Junkeren (pen.)
- 7′?Junkeren
- 9′?Junkeren
- 27′?Junkeren
- 65′?Junkeren
- 84′?Junkeren
- 86′?Melhus
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; Junkeren have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Tiller(away) | 1-6 | 3. Division - Girone 5 |
| Oct 8, 2022 | Orkla(home) | 2-2 | 3. Division - Girone 5 |
| Oct 1, 2022 | Steinkjer(away) | 1-1 | 3. Division - Girone 5 |
| Sep 24, 2022 | Strindheim(home) | 3-1 | 3. Division - Girone 5 |
| Sep 17, 2022 | Nardo(away) | 0-2 | 3. Division - Girone 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Rana(home) | 6-1 | 3. Division - Girone 5 |
| Oct 8, 2022 | Rosenborg II(away) | 1-0 | 3. Division - Girone 5 |
| Oct 2, 2022 | Byåsen(home) | 1-1 | 3. Division - Girone 5 |
| Sep 24, 2022 | Bodø / Glimt II(home) | 3-1 | 3. Division - Girone 5 |
| Sep 17, 2022 | Steinkjer(away) | 1-0 | 3. Division - Girone 5 |
What does the head-to-head say?
In the last meeting: 0 Melhus wins, 0 draws, 1 Junkeren win.
| Date | Score | Competition |
|---|---|---|
| Apr 10, 2022 | Junkeren 6-0 Melhus | 3. Division - Girone 5 |
How many goals should we expect?
Melhus score 1.2 and concede 2.0 goals per match over their last 15; Junkeren score 3.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Melhus | 1.2 | 2.0 | 1 | 9/15 | 9/15 |
| Junkeren | 3.1 | 1.1 | 4 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Melhus vs Junkeren?
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