Mrbat vs Al-Shabab: result 0-1 and analysis
Professional LeagueRegular Season - 21Kick-off on May 10, 2018 at 05:05 PM (UTC)
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What was the result of Mrbat vs Al-Shabab?
Al-Shabab won 0-1 on May 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mrbat have 6 wins, 1 draw and 8 defeats; Al-Shabab have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2018 | Al-Mudhaibi(away) | 1-0 | Professional League |
| May 2, 2018 | Oman Club(home) | 0-1 | Professional League |
| Apr 28, 2018 | Saham(away) | 2-1 | Professional League |
| Apr 18, 2018 | Sohar(home) | 2-1 | Professional League |
| Apr 14, 2018 | Fanja(away) | 2-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2018 | Al Salam(home) | 1-2 | Professional League |
| May 2, 2018 | Muscat(away) | 1-1 | Professional League |
| Apr 28, 2018 | Al-Nahda(home) | 1-1 | Professional League |
| Apr 18, 2018 | Al Suwaiq(away) | 1-3 | Professional League |
| Apr 14, 2018 | Al Nasr(away) | 1-1 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Mrbat wins, 0 draws, 1 Al-Shabab win.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2017 | Al-Shabab 2-0 Mrbat | Professional League |
How many goals should we expect?
Mrbat score 1.4 and concede 1.8 goals per match over their last 15; Al-Shabab score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mrbat | 1.4 | 1.8 | 1 | 10/15 | 11/15 |
| Al-Shabab | 1.5 | 1.0 | 5 | 10/15 | 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 | Al-Shabab | 3 | 2 | 0 | 1 | 7 | 5 | 6 |
A question about Mrbat vs Al-Shabab?
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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