Al Ramtha vs Al Faisaly: result 2-2 and analysis
Shield CupGroup Stage - 3Kick-off on March 4, 2021 at 01:00 PM (UTC)Prince Mohammed Stadium, Zarqa
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What was the result of Al Ramtha vs Al Faisaly?
Al Ramtha and Al Faisaly drew 2-2 on March 4, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Ramtha have 10 wins, 1 draws and 4 defeats; Al Faisaly have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2021 | Al Buqa'a(away) | 2-0 | Shield Cup |
| Jan 15, 2021 | Al Sareeh(away) | 2-1 | League |
| Jan 10, 2021 | Al Jazeera(home) | 0-1 | League |
| Jan 4, 2021 | Sahab(away) | 4-2 | League |
| Dec 29, 2020 | Al Hussein(home) | 2-1 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2021 | Al Buqa'a(home) | 3-0 | Shield Cup |
| Jan 16, 2021 | Al Wihdat(home) | 1-2 | League |
| Jan 11, 2021 | Ma'an(away) | 3-2 | League |
| Jan 6, 2021 | Al Salt(home) | 1-2 | League |
| Dec 31, 2020 | Al Ahli(away) | 3-3 | League |
What does the head-to-head say?
Across the last 6 meetings: 2 Al Ramtha win(s), 2 draw(s), 2 Al Faisaly win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 7, 2020 | Al Ramtha 3-1 Al Faisaly | League |
| Mar 6, 2020 | Al Faisaly 0-0 Al Ramtha | League |
| Feb 23, 2019 | Al Faisaly 1-0 Al Ramtha | League |
| Sep 15, 2018 | Al Ramtha 1-1 Al Faisaly | League |
| Mar 9, 2018 | Al Faisaly 2-1 Al Ramtha | League |
| Oct 27, 2017 | Al Ramtha 4-2 Al Faisaly | League |
Last archived meeting: Al Ramtha vs Al Faisaly on Nov 7, 2020
How many goals should we expect?
Al Ramtha score 1.7 and concede 1.1 goals per match over their last 15; Al Faisaly score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Ramtha | 1.7 | 1.1 | 3 | 10/15 | 9/15 |
| Al Faisaly | 1.4 | 1.6 | 3 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
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