Sahab vs Al Sareeh: result 1-2 and analysis
LeagueRegular Season - 14Kick-off on November 26, 2020 at 04:30 PM (UTC)King Abdullah International Stadium, Amman
Full time
What was the result of Sahab vs Al Sareeh?
Al Sareeh won 1-2 on November 26, 2020.
Goalscorers
- 25′?Al Sareeh (pen.)
- 60′?Sahab
- 71′?Al Sareeh
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sahab have 3 wins, 4 draws and 8 defeats; Al Sareeh have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2020 | Al Jazeera(home) | 1-1 | League |
| Nov 6, 2020 | Aqaba(away) | 0-0 | League |
| Oct 27, 2020 | Al Hussein(home) | 0-1 | League |
| Oct 22, 2020 | Shabab Al Ordon(away) | 2-2 | League |
| Sep 28, 2020 | Al Ramtha(away) | 3-2 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2020 | Al Hussein(home) | 0-1 | League |
| Nov 7, 2020 | Shabab Al Ordon(away) | 1-4 | League |
| Oct 31, 2020 | Al Ramtha(away) | 1-3 | League |
| Oct 26, 2020 | Al Faisaly(away) | 0-1 | League |
| Oct 21, 2020 | Al Wihdat(home) | 1-2 | League |
What does the head-to-head say?
Across the last 2 meetings: 1 Sahab win, 1 draw, 0 Al Sareeh wins.
| Date | Score | Competition |
|---|---|---|
| Feb 24, 2017 | Sahab 2-0 Al Sareeh | League |
| Nov 18, 2016 | Al Sareeh 2-2 Sahab | League |
How many goals should we expect?
Sahab score 1.1 and concede 2.1 goals per match over their last 15; Al Sareeh score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sahab | 1.1 | 2.1 | 3 | 9/15 | 9/15 |
| Al Sareeh | 1.3 | 1.7 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Sahab vs Al Sareeh?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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