Mrbat vs Al Seeb: result 1-2 and analysis
Professional LeagueRegular Season - 4Kick-off on October 4, 2019 at 03:35 PM (UTC)
Full time
What was the result of Mrbat vs Al Seeb?
Al Seeb won 1-2 on October 4, 2019.
Goalscorers
- 19′?Mrbat
- 46′Mohammed Al GhassaniAl Seeb
- 63′?Al Seeb
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mrbat have 2 wins, 4 draws and 9 defeats; Al Seeb have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Sohar(home) | 0-4 | Professional League |
| Sep 15, 2019 | Al-Rustaq(away) | 0-3 | Professional League |
| May 28, 2019 | Al Oruba(home) | 3-3 | Professional League |
| May 24, 2019 | Al Nasr(away) | 0-4 | Professional League |
| May 18, 2019 | Al-Nahda(home) | 1-3 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Al Oruba(home) | 1-0 | Professional League |
| Sep 21, 2019 | Fanja(away) | 1-2 | Professional League |
| Sep 17, 2019 | Al Nasr(home) | 0-0 | Professional League |
| May 24, 2015 | Dhofar(away) | 0-0 | Professional League |
| May 16, 2015 | Sohar(home) | 0-0 | Professional League |
How many goals should we expect?
Mrbat score 0.7 and concede 1.9 goals per match over their last 15; Al Seeb score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mrbat | 0.7 | 1.9 | 3 | 5/15 | 7/15 |
| Al Seeb | 0.8 | 1.6 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Al Seeb | 3 | 2 | 1 | 0 | 6 | 2 | 7 |
A question about Mrbat vs Al Seeb?
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