Saham vs Mrbat: result 1-2 and analysis
Professional LeagueRegular Season - 18Kick-off on April 28, 2018 at 02:00 PM (UTC)Sohar Regional Sports Complex, Sohar
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What was the result of Saham vs Mrbat?
Mrbat won 1-2 on April 28, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saham have 3 wins, 6 draws and 6 defeats; Mrbat have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2018 | Al Salam(away) | 0-0 | Professional League |
| Apr 14, 2018 | Muscat(home) | 0-0 | Professional League |
| Feb 25, 2018 | Al-Nahda(away) | 2-2 | Professional League |
| Feb 7, 2018 | Al Suwaiq(home) | 2-3 | Professional League |
| Nov 28, 2017 | Al Nasr(home) | 0-2 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2018 | Sohar(home) | 2-1 | Professional League |
| Apr 14, 2018 | Fanja(away) | 2-2 | Professional League |
| Feb 25, 2018 | Al Oruba(home) | 3-1 | Professional League |
| Feb 7, 2018 | Dhofar(away) | 2-3 | Professional League |
| Nov 28, 2017 | Al Salam(home) | 2-1 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Saham wins, 1 draw, 0 Mrbat wins.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2017 | Mrbat 2-2 Saham | Professional League |
How many goals should we expect?
Saham score 1.2 and concede 1.4 goals per match over their last 15; Mrbat score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saham | 1.2 | 1.4 | 4 | 9/15 | 8/15 |
| Mrbat | 1.6 | 1.9 | 1 | 11/15 | 12/15 |
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 | Saham | 4 | 3 | 0 | 1 | 4 | 2 | 9 |
A question about Saham vs Mrbat?
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