Al Hussein vs Sahab: result 1-1 and analysis
LeagueRegular Season - 15Kick-off on March 3, 2017 at 03:30 PM (UTC)Al Hasan Stadium, Irbid
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What was the result of Al Hussein vs Sahab?
Al Hussein and Sahab drew 1-1 on March 3, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Hussein have 6 wins, 6 draws and 3 defeats; Sahab have 2, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2017 | Al Buqa'a(away) | 2-1 | League |
| Feb 17, 2017 | That Ras(home) | 0-0 | League |
| Feb 11, 2017 | Al Sareeh(home) | 1-1 | League |
| Jan 13, 2017 | Al Wihdat(home) | 0-3 | League |
| Jan 5, 2017 | Shabab Al Ordon(away) | 1-0 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2017 | Al Sareeh(home) | 2-0 | League |
| Feb 16, 2017 | Al Wihdat(away) | 0-1 | League |
| Feb 10, 2017 | Shabab Al Ordon(home) | 0-2 | League |
| Jan 14, 2017 | Al Faisaly(home) | 1-1 | League |
| Jan 7, 2017 | Al Ahli(away) | 0-0 | League |
What does the head-to-head say?
In the last meeting: 0 Al Hussein wins, 1 draw, 0 Sahab wins.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2016 | Sahab 1-1 Al Hussein | League |
How many goals should we expect?
Al Hussein score 1.3 and concede 1.3 goals per match over their last 15; Sahab score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Hussein | 1.3 | 1.3 | 4 | 10/15 | 8/15 |
| Sahab | 0.8 | 1.1 | 3 | 7/14 | 4/14 |
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 Al Hussein 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