Mrbat vs Al-Nahda: result 1-3 and analysis
Professional LeagueRegular Season - 24Kick-off on May 18, 2019 at 06:00 PM (UTC)
Full time
What was the result of Mrbat vs Al-Nahda?
Al-Nahda won 1-3 on May 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mrbat have 3 wins, 5 draws and 7 defeats; Al-Nahda have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2019 | Al-Shabab(away) | 0-2 | Professional League |
| May 4, 2019 | Al Suwaiq(home) | 0-2 | Professional League |
| Apr 24, 2019 | Sur(away) | 2-0 | Professional League |
| Apr 17, 2019 | Al-Rustaq(home) | 0-1 | Professional League |
| Apr 6, 2019 | Oman Club(away) | 0-1 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2019 | Saham(home) | 1-0 | Professional League |
| May 3, 2019 | Sohar(away) | 0-1 | Professional League |
| Apr 24, 2019 | Dhofar(home) | 0-3 | Professional League |
| Apr 18, 2019 | Muscat(away) | 2-1 | Professional League |
| Apr 5, 2019 | Al Oruba(home) | 1-1 | Professional League |
What does the head-to-head say?
Across the last 3 meetings: 0 Mrbat win(s), 0 draw(s), 3 Al-Nahda win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 1, 2018 | Al-Nahda 1-0 Mrbat | Professional League |
| May 23, 2018 | Al-Nahda 5-1 Mrbat | Professional League |
| Nov 3, 2017 | Mrbat 0-3 Al-Nahda | Professional League |
How many goals should we expect?
Mrbat score 0.7 and concede 1.0 goals per match over their last 15; Al-Nahda score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mrbat | 0.7 | 1.0 | 4 | 5/15 | 3/15 |
| Al-Nahda | 0.9 | 1.0 | 6 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Al-Nahda | 26 | 13 | 5 | 8 | 31 | 23 | 44 |
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