Mrbat vs Al-Shabab: result 2-1 and analysis
Professional LeagueRegular Season - 10Kick-off on October 28, 2018 at 01:15 PM (UTC)
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What was the result of Mrbat vs Al-Shabab?
Mrbat won 2-1 on October 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mrbat have 7 wins, 2 draws and 6 defeats; Al-Shabab have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2018 | Al Suwaiq(away) | 1-1 | Professional League |
| Oct 19, 2018 | Sur(home) | 2-1 | Professional League |
| Oct 3, 2018 | Al-Rustaq(home) | 0-0 | Professional League |
| Sep 28, 2018 | Oman Club(home) | 1-0 | Professional League |
| Sep 23, 2018 | Mjees(away) | 3-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2018 | Saham(home) | 2-1 | Professional League |
| Oct 19, 2018 | Sohar(away) | 4-5 | Professional League |
| Oct 12, 2018 | Muscat(away) | 0-2 | Professional League |
| Oct 3, 2018 | Dhofar(away) | 0-2 | Professional League |
| Sep 23, 2018 | Al Oruba(home) | 1-0 | Professional League |
What does the head-to-head say?
Across the last 2 meetings: 0 Mrbat win(s), 0 draw(s), 2 Al-Shabab win(s).
| Date | Score | Competition |
|---|---|---|
| May 10, 2018 | Mrbat 0-1 Al-Shabab | Professional League |
| Oct 22, 2017 | Al-Shabab 2-0 Mrbat | Professional League |
How many goals should we expect?
Mrbat score 1.3 and concede 1.3 goals per match over their last 15; Al-Shabab score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mrbat | 1.3 | 1.3 | 4 | 7/15 | 8/15 |
| Al-Shabab | 1.0 | 1.8 | 5 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Al-Shabab | 26 | 17 | 3 | 6 | 51 | 27 | 54 |
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