Al Ramtha vs Al Jalil: result 1-0 and analysis
LeagueRegular Season - 15Kick-off on February 16, 2012 at 03:00 PM (UTC)Prince Hashim Stadium, Al Ramtha
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What was the result of Al Ramtha vs Al Jalil?
Al Ramtha won 1-0 on February 16, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Al Ramtha have 8 wins, 4 draws and 1 defeat; Al Jalil have 1, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 3, 2012 | Al-Faisaly FC(home) | 1-0 | League |
| Jan 21, 2012 | Al Buqa'a(home) | 2-2 | League |
| Jan 14, 2012 | Al Yarmouk(away) | 3-1 | League |
| Nov 26, 2011 | Al Jazeera(away) | 1-0 | League |
| Nov 20, 2011 | Kfarsoum(home) | 2-1 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2012 | Al Wihdat(away) | 0-2 | League |
| Jan 13, 2012 | Al-Faisaly FC(away) | 1-6 | League |
| Nov 25, 2011 | Al Buqa'a(away) | 1-1 | League |
| Nov 18, 2011 | Al Yarmouk(away) | 0-0 | League |
| Oct 27, 2011 | Al Jazeera(away) | 1-1 | League |
What does the head-to-head say?
In the last meeting: 1 Al Ramtha win, 0 draws, 0 Al Jalil wins.
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2011 | Al Jalil 0-2 Al Ramtha | League |
Last archived meeting: Al Jalil vs Al Ramtha on Sep 10, 2011
How many goals should we expect?
Al Ramtha score 1.9 and concede 0.6 goals per match over their last 13; Al Jalil score 1.0 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Ramtha | 1.9 | 0.6 | 6 | 6/13 | 5/13 |
| Al Jalil | 1.0 | 2.1 | 2 | 6/12 | 6/12 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Al Ramtha | 5 | 2 | 2 | 1 | 4 | 5 | 8 |
A question about Al Ramtha vs Al Jalil?
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