Sahab vs Al Hussein: result 0-1 and analysis
LeagueRegular Season - 11Kick-off on October 27, 2020 at 03:00 PM (UTC)King Abdullah International Stadium, Amman
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What was the result of Sahab vs Al Hussein?
Al Hussein won 0-1 on October 27, 2020.
Goalscorers
- 90′?Al Hussein
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sahab have 3 wins, 3 draws and 9 defeats; Al Hussein have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2020 | Shabab Al Ordon(away) | 2-2 | League |
| Sep 28, 2020 | Al Ramtha(away) | 3-2 | League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2020 | Aqaba(away) | 1-3 | League |
| Sep 29, 2020 | Shabab Al Ordon(home) | 0-1 | League |
| Sep 24, 2020 | Al Ramtha(home) | 1-1 | League |
| Sep 19, 2020 | Al Wihdat(away) | 1-2 | League |
| Sep 13, 2020 | Ma'an(home) | 0-0 | League |
What does the head-to-head say?
Across the last 2 meetings: 0 Sahab wins, 2 draws, 0 Al Hussein wins.
| Date | Score | Competition |
|---|---|---|
| Mar 3, 2017 | Al Hussein 1-1 Sahab | League |
| Nov 25, 2016 | Sahab 1-1 Al Hussein | League |
How many goals should we expect?
Sahab score 1.1 and concede 2.3 goals per match over their last 15; Al Hussein score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sahab | 1.1 | 2.3 | 3 | 9/15 | 11/15 |
| Al Hussein | 1.1 | 1.4 | 2 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Al Hussein | 4 | 1 | 2 | 1 | 7 | 9 | 5 |
A question about Sahab vs Al Hussein?
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