Mrbat vs Saham: result 1-1 and analysis
Professional LeagueRegular Season - 6Kick-off on October 22, 2019 at 01:15 PM (UTC)
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What was the result of Mrbat vs Saham?
Mrbat and Saham drew 1-1 on October 22, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mrbat have 1 wins, 3 draws and 11 defeats; Saham have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2019 | Muscat(away) | 2-3 | Professional League |
| Oct 4, 2019 | Al Seeb(home) | 1-2 | Professional League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2019 | Al Oruba(home) | 2-1 | Professional League |
| Oct 3, 2019 | Fanja(away) | 0-0 | Professional League |
| Sep 28, 2019 | Al Nasr(home) | 1-0 | Professional League |
| Sep 21, 2019 | Oman Club(home) | 2-1 | Professional League |
| Sep 15, 2019 | Muscat(away) | 3-1 | Professional League |
What does the head-to-head say?
Across the last 4 meetings: 1 Mrbat win(s), 2 draw(s), 1 Saham win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 1, 2019 | Mrbat 0-0 Saham | Professional League |
| Sep 14, 2018 | Saham 2-1 Mrbat | Professional League |
| Apr 28, 2018 | Saham 1-2 Mrbat | Professional League |
| Sep 29, 2017 | Mrbat 2-2 Saham | Professional League |
How many goals should we expect?
Mrbat score 0.8 and concede 2.1 goals per match over their last 15; Saham score 1.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mrbat | 0.8 | 2.1 | 2 | 6/15 | 8/15 |
| Saham | 1.6 | 0.9 | 5 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Saham | 26 | 7 | 5 | 14 | 22 | 44 | 26 |
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