Sahab vs Al Sareeh: result 2-0 and analysis
LeagueRegular Season - 14Kick-off on February 24, 2017 at 01:00 PM (UTC)Petra Field, Amman
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What was the result of Sahab vs Al Sareeh?
Sahab won 2-0 on February 24, 2017.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Sahab have 1 win, 6 draws and 6 defeats; Al Sareeh have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Dec 31, 2016 | Mansheyat(home) | 0-2 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2017 | Al Buqa'a(home) | 0-0 | League |
| Feb 11, 2017 | Al Hussein(away) | 1-1 | League |
| Jan 14, 2017 | That Ras(home) | 0-1 | League |
| Jan 6, 2017 | Al Wihdat(away) | 0-4 | League |
| Jan 1, 2017 | Shabab Al Ordon(home) | 1-3 | League |
What does the head-to-head say?
In the last meeting: 0 Sahab wins, 1 draw, 0 Al Sareeh wins.
| Date | Score | Competition |
|---|---|---|
| Nov 18, 2016 | Al Sareeh 2-2 Sahab | League |
How many goals should we expect?
Sahab score 0.7 and concede 1.2 goals per match over their last 13; Al Sareeh score 0.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sahab | 0.7 | 1.2 | 2 | 7/13 | 4/13 |
| Al Sareeh | 0.7 | 1.5 | 4 | 6/15 | 5/15 |
Over the last 13 matches in all competitions.
A question about Sahab vs Al Sareeh?
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