Fanja vs Mrbat: result 2-2 and analysis
Professional LeagueRegular Season - 16Kick-off on April 14, 2018 at 01:45 PM (UTC)Sultan Qaboos Sport Complex, Muscat
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What was the result of Fanja vs Mrbat?
Fanja and Mrbat drew 2-2 on April 14, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fanja have 5 wins, 3 draws and 7 defeats; Mrbat have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2018 | Al Salam(away) | 1-1 | Professional League |
| Feb 7, 2018 | Muscat(home) | 4-0 | Professional League |
| Nov 28, 2017 | Al-Nahda(home) | 1-1 | Professional League |
| Nov 24, 2017 | Al Suwaiq(away) | 1-2 | Professional League |
| Nov 3, 2017 | Al Nasr(home) | 1-0 | Professional League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 24, 2017 | Muscat(away) | 1-3 | Professional League |
| Nov 3, 2017 | Al-Nahda(home) | 0-3 | Professional League |
What does the head-to-head say?
In the last meeting: 0 Fanja wins, 0 draws, 1 Mrbat win.
| Date | Score | Competition |
|---|---|---|
| Sep 21, 2017 | Mrbat 2-1 Fanja | Professional League |
How many goals should we expect?
Fanja score 1.4 and concede 1.4 goals per match over their last 15; Mrbat score 1.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fanja | 1.4 | 1.4 | 3 | 10/15 | 10/15 |
| Mrbat | 1.3 | 2.1 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Fanja | 4 | 0 | 2 | 2 | 0 | 3 | 2 |
A question about Fanja 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