Sahab vs Al Wihdat: result 0-1 and analysis
LeagueRegular Season - 8Kick-off on September 23, 2020 at 04:30 PM (UTC)King Abdullah International Stadium, Amman
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What was the result of Sahab vs Al Wihdat?
Al Wihdat won 0-1 on September 23, 2020.
Goalscorers
- 22′?Sahab
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sahab have 2 wins, 3 draws and 10 defeats; Al Wihdat have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 5, 2020 | Al Jazeera(away) | 1-3 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2020 | Al Hussein(home) | 2-1 | League |
| Sep 14, 2020 | Shabab Al Ordon(away) | 3-1 | League |
| Sep 10, 2020 | Al Ramtha(home) | 0-1 | League |
| Aug 15, 2020 | Aqaba(away) | 3-0 | League |
| Aug 9, 2020 | Ma'an(away) | 4-0 | League |
What does the head-to-head say?
Across the last 2 meetings: 0 Sahab wins, 1 draw, 1 Al Wihdat win.
| Date | Score | Competition |
|---|---|---|
| Feb 16, 2017 | Al Wihdat 1-0 Sahab | League |
| Nov 3, 2016 | Sahab 1-1 Al Wihdat | League |
How many goals should we expect?
Sahab score 0.9 and concede 2.3 goals per match over their last 15; Al Wihdat score 2.1 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sahab | 0.9 | 2.3 | 3 | 9/15 | 10/15 |
| Al Wihdat | 2.1 | 0.4 | 10 | 3/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Al Wihdat | 4 | 1 | 2 | 1 | 1 | 1 | 5 |
A question about Sahab vs Al Wihdat?
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