Al Ramtha vs Sahab: result 2-3 and analysis
LeagueRegular Season - 9Kick-off on September 28, 2020 at 02:00 PM (UTC)Al Hasan Stadium, Irbid
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What was the result of Al Ramtha vs Sahab?
Sahab won 2-3 on September 28, 2020.
Goalscorers
- 38′?Sahab
- 42′?Sahab
- 57′?Al Ramtha
- 70′?Al Ramtha
- 90′?Al Ramtha
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Ramtha have 6 wins, 5 draws and 4 defeats; Sahab have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2020 | Al Hussein(away) | 1-1 | League |
| Sep 19, 2020 | Shabab Al Ordon(home) | 2-1 | League |
| Sep 14, 2020 | Aqaba(away) | 0-0 | League |
| Sep 10, 2020 | Al Wihdat(away) | 1-0 | League |
| Aug 14, 2020 | Ma'an(home) | 1-1 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2020 | Al Wihdat(home) | 0-1 | League |
| Sep 17, 2020 | Ma'an(away) | 1-0 | League |
| Sep 13, 2020 | Al Salt(home) | 1-7 | League |
| Aug 19, 2020 | Al Ahli(away) | 0-0 | League |
| Aug 15, 2020 | Al Faisaly(home) | 2-3 | League |
What does the head-to-head say?
Across the last 2 meetings: 2 Al Ramtha wins, 0 draws, 0 Sahab wins.
| Date | Score | Competition |
|---|---|---|
| Apr 15, 2017 | Sahab 0-3 Al Ramtha | League |
| Dec 23, 2016 | Al Ramtha 2-1 Sahab | League |
How many goals should we expect?
Al Ramtha score 1.3 and concede 0.9 goals per match over their last 15; Sahab score 0.8 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Ramtha | 1.3 | 0.9 | 5 | 8/15 | 7/15 |
| Sahab | 0.8 | 2.3 | 3 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Al Ramtha | 4 | 2 | 2 | 0 | 3 | 1 | 8 |
A question about Al Ramtha vs Sahab?
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