Muscat vs Bahla: result 1-0 and analysis
Professional LeagueRegular Season - 19Kick-off on February 14, 2020 at 01:15 PM (UTC)Sultan Qaboos Sport Complex, Masqaṭ (Muscat)
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What was the result of Muscat vs Bahla?
Muscat won 1-0 on February 14, 2020.
Goalscorers
- 4′?Muscat
What is the recent form of both teams?
Over their last 15 matches in all competitions, Muscat have 4 wins, 4 draws and 7 defeats; Bahla have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 7, 2020 | Mrbat(away) | 2-2 | Professional League |
| Jan 31, 2020 | Al Oruba(home) | 1-0 | Professional League |
| Jan 24, 2020 | Fanja(away) | 2-3 | Professional League |
| Jan 10, 2020 | Al Nasr(home) | 1-1 | Professional League |
| Jan 4, 2020 | Saham(away) | 1-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 8, 2020 | Al Seeb(home) | 0-2 | Professional League |
| Feb 1, 2020 | Dhofar(away) | 1-1 | Professional League |
| Jan 25, 2020 | Sohar(home) | 1-0 | Professional League |
| Jan 10, 2020 | Al-Rustaq(away) | 0-0 | Professional League |
| Jan 4, 2020 | Al-Nahda(home) | 1-0 | Professional League |
What does the head-to-head say?
Across the last 1 meetings: 0 Muscat win(s), 0 draw(s), 1 Bahla win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2019 | Bahla 2-1 Muscat | Professional League |
How many goals should we expect?
Muscat score 1.3 and concede 1.4 goals per match over their last 15; Bahla score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muscat | 1.3 | 1.4 | 3 | 9/15 | 7/15 |
| Bahla | 1.3 | 1.1 | 5 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Bahla | 26 | 12 | 4 | 10 | 39 | 32 | 40 |
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